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Climate Endgame: Exploring catastrophic climate change scenarios

Luke Kemp  Chi Xu , Joanna Depledge, Goodwin Gibbins, Timothy A. Kohler, Johan Rockström, Marten Scheffer , Hans Joachim Schellnhuber , Will Steffen and Timothy M. Lenton

Edited by Kerry Emanuel, Massachusetts Institute of Technology, Cambridge, MA;

https://doi.org/10.1073/pnas.2108146119

Abstract

Prudent risk management requires consideration of bad-to-worst-case scenarios. Yet, for climate change, such potential futures are poorly understood. Could anthropogenic climate change result in worldwide societal collapse or even eventual human extinction? At present, this is a dangerously underexplored topic. Yet there are ample reasons to suspect that climate change could result in a global catastrophe. Analyzing the mechanisms for these extreme consequences could help galvanize action, improve resilience, and inform policy, including emergency responses. We outline current knowledge about the likelihood of extreme climate change, discuss why understanding bad-to-worst cases is vital, articulate reasons for concern about catastrophic outcomes, define key terms, and put forward a research agenda. The proposed agenda covers four main questions: 1) What is the potential for climate change to drive mass extinction events? 2) What are the mechanisms that could result in human mass mortality and morbidity? 3) What are human societies’ vulnerabilities to climate-triggered risk cascades, such as from conflict, political instability, and systemic financial risk? 4) How can these multiple strands of evidence—together with other global dangers—be usefully synthesized into an “integrated catastrophe assessment”? It is time for the scientific community to grapple with the challenge of better understanding catastrophic climate change.

Introduction

How bad could climate change get? As early as 1988, the landmark Toronto Conference declaration described the ultimate consequences of climate change as potentially “second only to a global nuclear war.” Despite such proclamations decades ago, climate catastrophe is relatively under-studied and poorly understood.

The potential for catastrophic impacts depends on the magnitude and rate of climate change, the damage inflicted on Earth and human systems, and the vulnerability and response of those affected systems. The extremes of these areas, such as high temperature rise and cascading impacts, are underexamined. As noted by the Intergovernmental Panel on Climate Change (IPCC), there have been few quantitative estimates of global aggregate impacts from warming of 3 °C or above (1). Text mining of IPCC reports similarly found that coverage of temperature rises of 3 °C or higher is underrepresented relative to their likelihood (2). Text-mining analysis also suggests that over time the coverage of IPCC reports has shifted towards temperature rise of 2 °C and below https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022EF002876. Research has focused on the impacts of 1.5 °C and 2 °C, and studies of how climate impacts could cascade or trigger larger crises are sparse.

A thorough risk assessment would need to consider how risks spread, interact, amplify, and are aggravated by human responses (3), but even simpler “compound hazard” analyses of interacting climate hazards and drivers are underused. Yet this is how risk unfolds in the real world. For example, a cyclone destroys electrical infrastructure, leaving a population vulnerable to an ensuing deadly heat wave (4). Recently, we have seen compound hazards emerge between climate change and the COVID-19 pandemic (5). As the IPCC notes, climate risks are becoming more complex and difficult to manage, and are cascading across regions and sectors (6).

Why the focus on lower-end warming and simple risk analyses? One reason is the benchmark of the international targets: the Paris Agreement goal of limiting warming to well below 2 °C, with an aspiration of 1.5 °C. Another reason is the culture of climate science to “err on the side of least drama” (7), to not to be alarmists, which can be compounded by the consensus processes of the IPCC (8). Complex risk assessments, while more realistic, are also more difficult to do.

This caution is understandable, yet it is mismatched to the risks and potential damages posed by climate change. We know that temperature rise has “fat tails”: low-probability, high-impact extreme outcomes (9). Climate damages are likely to be nonlinear and result in an even larger tail (10). Too much is at stake to refrain from examining high-impact low-likelihood scenarios. The COVID-19 pandemic has underlined the need to consider and prepare for infrequent, high-impact global risks, and the systemic dangers they can spark. Prudent risk management demands that we thoroughly assess worst-case scenarios.

Our proposed “Climate Endgame” research agenda aims to direct exploration of the worst risks associated with anthropogenic climate change. To introduce it, we summarize existing evidence on the likelihood of extreme climate change, outline why exploring bad-to-worst cases is vital, suggest reasons for catastrophic concern, define key terms, and then explain the four key aspects of the research agenda.

Worst-Case Climate Change

Despite 30 y of efforts and some progress under the United Nations Framework Convention on Climate Change (UNFCCC) anthropogenic greenhouse gas (GHG) emissions continue to increase. Even without considering worst-case climate responses, the current trajectory puts the world on track for a temperature rise between 2.1 °C and 3.9 °C by 2100 (11). If all 2030 nationally determined contributions are fully implemented, warming of 2.4 °C (1.9 °C to 3.0 °C) is expected by 2100. Meeting all long-term pledges and targets could reduce this to 2.1 °C (1.7 °C to 2.6 °C) (12). Even these optimistic assumptions lead to dangerous Earth system trajectories. Temperatures of more than 2 °C above preindustrial values have not been sustained on Earth’s surface since before the Pleistocene Epoch (or more than 2.6 million years ago) (13).

Even if anthropogenic GHG emissions start to decline soon, this does not rule out high future GHG concentrations or extreme climate change, particularly beyond 2100. There are feedbacks in the carbon cycle and potential tipping points that could generate high GHG concentrations (14) that are often missing from models. Examples include Arctic permafrost thawing that releases methane and CO2 (15), carbon loss due to intense droughts and fires in the Amazon (16), and the apparent slowing of dampening feedbacks such as natural carbon sink capacity (1718). These are likely to not be proportional to warming, as is sometimes assumed. Instead, abrupt and/or irreversible changes may be triggered at a temperature threshold. Such changes are evident in Earth’s geological record, and their impacts cascaded across the coupled climate–ecological–social system (19). Particularly worrying is a “tipping cascade” in which multiple tipping elements interact in such a way that tipping one threshold increases the likelihood of tipping another (20). Temperature rise is crucially dependent on the overall dynamics of the Earth system, not just the anthropogenic emissions trajectory.

The potential for tipping points and higher concentrations despite lower anthropogenic emissions is evident in existing models. Variability among the latest Coupled Model Intercomparison Project Phase 6 (CMIP6) climate models results in overlap in different scenarios. For example, the top (75th) quartile outcome of the “middle-of-the-road” scenario (Shared Socioeconomic Pathway 3-7.0, or SSP3-7.0) is substantially hotter than the bottom (25th) quartile of the highest emissions (SSP5-8.5) scenario. Regional temperature differences between models can exceed 5 °C to 6 °C, particularly in polar areas where various tipping points can occur (SI Appendix).

There are even more uncertain feedbacks, which, in a very worst case, might amplify to an irreversible transition into a “Hothouse Earth” state (21) (although there may be negative feedbacks that help buffer the Earth system). In particular, poorly understood cloud feedbacks might trigger sudden and irreversible global warming (22). Such effects remain underexplored and largely speculative “unknown unknowns” that are still being discovered. For instance, recent simulations suggest that stratocumulus cloud decks might abruptly be lost at CO2 concentrations that could be approached by the end of the century, causing an additional ∼8 °C global warming (23). Large uncertainties about dangerous surprises are reasons to prioritize rather than neglect them.

Recent findings on equilibrium climate sensitivity (ECS) (1424) underline that the magnitude of climate change is uncertain even if we knew future GHG concentrations. According to the IPCC, our best estimate for ECS is a 3 °C temperature rise per doubling of CO2, with a “likely” range of (66 to 100% likelihood) of 2.5 °C to 4 °C. While an ECS below 1.5 °C was essentially ruled out, there remains an 18% probability that ECS could be greater than 4.5 °C (14). The distribution of ECS is “heavy tailed,” with a higher probability of very high values of ECS than of very low values.

There is significant uncertainty over future anthropogenic GHG emissions as well. Representative Concentration Pathway 8.5 (RCP8.5, now SSP5-8.5), the highest emissions pathway used in IPCC scenarios, most closely matches cumulative emissions to date (25). This may not be the case going forward, because of falling prices of renewable energy and policy responses (26). Yet, there remain reasons for caution. For instance, there is significant uncertainty over key variables such as energy demand and economic growth. Plausibly higher economic growth rates could make RCP8.5 35% more likely (27).

Why Explore Climate Catastrophe?

Why do we need to know about the plausible worst cases? First, risk management and robust decision-making under uncertainty requires knowledge of extremes. For example, the minimax criterion ranks policies by their worst outcomes (28). Such an approach is particularly appropriate for areas characterized by high uncertainties and tail risks. Emissions trajectories, future concentrations, future warming, and future impacts are all characterized by uncertainty. That is, we can’t objectively prescribe probabilities to different outcomes (29). Climate damages lie within the realm of “deep uncertainty”: We don’t know the probabilities attached to different outcomes, the exact chain of cause and effect that will lead to outcomes, or even the range, timing, or desirability of outcomes (, 30). Uncertainty, deep or not, should motivate precaution and vigilance, not complacency.

Catastrophic impacts, even if unlikely, have major implications for economic analysis, modeling, and society’s responses (3132). For example, extreme warming and the consequent damages can significantly increase the projected social cost of carbon (31). Understanding the vulnerability and responses of human societies can inform policy making and decision-making to prevent systemic crises. Indicators of key variables can provide early warning signals (33).

Knowing the worst cases can compel action, as the idea of “nuclear winter” in 1983 galvanized public concern and nuclear disarmament efforts. Exploring severe risks and higher-temperature scenarios could cement a recommitment to the 1.5 °C to 2 °C guardrail as the “least unattractive” option (34).

Understanding catastrophic climate scenarios can also inform policy interventions, including last-resort emergency measures like solar radiation management (SRM), the injection of aerosols into the stratosphere to reflect sunlight (35). Whether to resort to such measures depends on the risk profiles of both climate change and SRM scenarios. One recent analysis of the potential catastrophic risk of stratospheric aerosol injection (SAI) found that the direct and systemic impacts are under-studied (36). The largest danger appears to come from “termination shock”: abrupt and rapid warming if the SAI system is disrupted. Hence, SAI shifts the risk distribution: The median outcome may be better than the climate change it is offsetting, but the tail risk could be worse than warming (36).

There are other interventions that a better understanding of catastrophic climate change could facilitate. For example, at the international level, there is the potential for a “tail risk treaty”: an agreement or protocol that activates stronger commitments and mechanisms when early-warning indicators of potential abrupt change are triggered.

The Potential for Climate Catastrophe

There are four key reasons to be concerned over the potential of a global climate catastrophe. First, there are warnings from history. Climate change (either regional or global) has played a role in the collapse or transformation of numerous previous societies (37) and in each of the five mass extinction events in Phanerozoic Earth history (38). The current carbon pulse is occurring at an unprecedented geological speed and, by the end of the century, may surpass thresholds that triggered previous mass extinctions (3940). The worst-case scenarios in the IPCC report project temperatures by the 22nd century that last prevailed in the Early Eocene, reversing 50 million years of cooler climates in the space of two centuries (41).

This is particularly alarming, as human societies are locally adapted to a specific climatic niche. The rise of large-scale, urbanized agrarian societies began with the shift to the stable climate of the Holocene ∼12,000 y ago (42). Since then, human population density peaked within a narrow climatic envelope with a mean annual average temperature of ∼13 °C. Even today, the most economically productive centers of human activity are concentrated in those areas (43). The cumulative impacts of warming may overwhelm societal adaptive capacity.

Second, climate change could directly trigger other catastrophic risks, such as international conflict, or exacerbate infectious disease spread, and spillover risk. These could be potent extreme threat multipliers.

Third, climate change could exacerbate vulnerabilities and cause multiple, indirect stresses (such as economic damage, loss of land, and water and food insecurity) that coalesce into system-wide synchronous failures. This is the path of systemic risk. Global crises tend to occur through such reinforcing “synchronous failures” that spread across countries and systems, as with the 2007–2008 global financial crisis (44). It is plausible that a sudden shift in climate could trigger systems failures that unravel societies across the globe.

The potential of systemic climate risk is marked: The most vulnerable states and communities will continue to be the hardest hit in a warming world, exacerbating inequities. Fig. 1 shows how projected population density intersects with extreme >29 °C mean annual temperature (MAT) (such temperatures are currently restricted to only 0.8% of Earth’s land surface area). Using the medium-high scenario of emissions and population growth (SSP3-7.0 emissions, and SSP3 population growth), by 2070, around 2 billion people are expected to live in these extremely hot areas. Currently, only 30 million people live in hot places, primarily in the Sahara Desert and Gulf Coast (43).

Fig. 1.

Overlap between future population distribution and extreme heat. CMIP6 model data [from nine GCM models available from the WorldClim database (45)] were used to calculate MAT under SSP3-7.0 during around 2070 (2060–2080) alongside Shared SSP3 demographic projections to ∼2070 (46). The shaded areas depict regions where MAT exceeds 29 °C, while the colored topography details the spread of population density.

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Extreme temperatures combined with high humidity can negatively affect outdoor worker productivity and yields of major cereal crops. These deadly heat conditions could significantly affect populated areas in South and southwest Asia(47).

Fig. 2 takes a political lens on extreme heat, overlapping SSP3-7.0 or SSP5-8.5 projections of >29 °C MAT circa 2070, with the Fragile States Index (a measurement of the instability of states). There is a striking overlap between currently vulnerable states and future areas of extreme warming. If current political fragility does not improve significantly in the coming decades, then a belt of instability with potentially serious ramifications could occur.

Fig. 2.

Fragile heat: the overlap between state fragility, extreme heat, and nuclear and biological catastrophic hazards. GCM model data [from the WorldClim database (45)] was used to calculate mean annual warming rates under SSP3-7.0 and SSP5-8.5. This results in a temperature rise of 2.8 °C in ∼2070 (48) for SSP3-7.0, and 3.2 °C for SSP5-8.5. The shaded areas depict regions where MAT exceeds 29 °C. These projections are overlapped with the 2021 Fragile State Index (FSI) (49). This is a necessarily rough proxy because FSI only estimates current fragility levels. While such measurements of fragility and stability are contested and have limitations, the FSI provides one of the more robust indices. This Figure also identifies the capitals of states with nuclear weapons, and the location of maximum containment Biosafety Level 4 (BS4) laboratories which handle the most dangerous pathogens in the world. These are provided as one rough proxy for nuclear and biological catastrophc hazards.

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Finally, climate change could irrevocably undermine humanity’s ability to recover from another cataclysm, such as nuclear war. That is, it could create significant latent risks (Table 1): Impacts that may be manageable during times of stability become dire when responding to and recovering from catastrophe. These different causes for catastrophic concern are interrelated and must be examined together.

Table 1.Defining key terms in the Climate Endgame agenda

TermDefinition
Latent riskRisk that is dormant under one set of conditions but becomes active under another set of conditions.
Risk cascadeChains of risk occurring when an adverse impact triggers a set of linked risks (3).
Systemic riskThe potential for individual disruptions or failures to cascade into a system-wide failure.
Extreme climate changeMean global surface temperature rise of 3 °C or more above preindustrial levels by 2100.
Extinction riskThe probability of human extinction within a given timeframe.
Extinction threatA plausible and significant contributor to total extinction risk.
Societal fragilityThe potential for smaller damages to spiral into global catastrophic or extinction risk due to societal vulnerabilities, risk cascades, and maladaptive responses.
Societal collapseSignificant sociopolitical fragmentation and/or state failure along with the relatively rapid, enduring, and significant loss capital, and systems identity; this can lead to large-scale increases in mortality and morbidity.
Global catastrophic riskThe probability of a loss of 25% of the global population and the severe disruption of global critical systems (such as food) within a given timeframe (years or decades).
Global catastrophic threatA plausible and significant contributor to global catastrophic risk; the potential for climate change to be a global catastrophic threat can be referred to as “catastrophic climate change”.
Global decimation riskThe probability of a loss of 10% (or more) of global population and the severe disruption of global critical systems (such as food) within a given timeframe (years or decades).
Global decimation threatA plausible and significant contributor to global decimation risk.
Endgame territoryLevels of global warming and societal fragility that are judged sufficiently probable to constitute climate change as an extinction threat.
Worst-case warmingThe highest empirically and theoretically plausible level of global warming.

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Defining the Key Terms

Although bad-to-worst case scenarios remain underexplored in the scientific literature, statements labeling climate change as catastrophic are not uncommon. UN Secretary-General António Guterres called climate change an “existential threat.” Academic studies have warned that warming above 5 °C is likely to be “beyond catastrophic” (50), and above 6 °C constitutes “an indisputable global catastrophe” (9).

Current discussions over climate catastrophe are undermined by unclear terminology. The term “catastrophic climate change” has not been conclusively defined. An existential risk is usually defined as a risk that cause an enduring and significant loss of long-term human potential (5152). This existing definition is deeply ambiguous and requires societal discussion and specification of long-term human values (52). While a democratic exploration of values is welcome, it is not required to understand pathways to human catastrophe or extinction (52). For now, the existing definition is not a solid foundation for a scientific inquiry.

We offer clarified working definitions of such terms in Table 1. This is an initial step toward creating a lexicon for global calamity. Some of the terms, such as what constitutes a “plausible” risk or a “significant contributor,” are necessarily ambiguous. Others, such as thresholding at 10% or 25% of global population, are partly arbitrary (10% is intended as a marker for a precedented loss, and 25% is intended as an unprecedented decrease; see SI Appendix for further discussion). Further research is needed to sharpen these definitions. The thresholds for global catastrophic and decimation risks are intended as general heuristics and not concrete numerical boundaries. Other factors such as morbidity, and cultural and economic loss, need to be considered.

We define risk as the probability that exposure to climate change impacts and responses will result in adverse consequences for human or ecological systems. For the Climate Endgame agenda, we are particularly interested in catastrophic consequences. Any risk is composed of four determinants: hazard, exposure, vulnerability, and response (3).

We have set global warming of 3 °C or more by the end of the century as a marker for extreme climate change. This threshold is chosen for four reasons: Such a temperature rise well exceeds internationally agreed targets, all the IPCC “reasons for concern” in climate impacts are either “high” or “very high” risk between 2 °C and 3 °C, there are substantially heightened risks of self-amplifying changes that would make it impossible to limit warming to 3 °C, and these levels relate to far greater uncertainty in impacts.

Key Research Thus Far

The closest attempts to directly study or comprehensively address how climate change could lead to human extinction or global catastrophe have come through popular science books such as The Uninhabitable Earth (53) and Our Final Warning (10). The latter, a review of climate impacts at different degrees, concludes that a global temperature rise of 6 °C “imperils even the survival of humans as a species” (10).

We know that health risks worsen with rising temperatures (54). For example, there is already an increasing probability of multiple “breadbasket failures” (causing a food price shock) with higher temperatures (55). For the top four maize-producing regions (accounting for 87% of maize production), the likelihood of production losses greater than 10% jumps from 7% annually under a 2 °C temperature rise to 86% under 4 °C (56). The IPCC notes, in its Sixth Assessment Report, that 50 to 75% of the global population could be exposed to life-threatening climatic conditions by the end of the century due to extreme heat and humidity (6). SI Appendix provides further details on several key studies of extreme climate change.

The IPCC reports synthesize peer-reviewed literature regarding climate change, impacts and vulnerabilities, and mitigation. Despite identifying 15 tipping elements in biosphere, oceans, and cryosphere in the Working Group 1 contribution to the Sixth Assessment Report, many with irreversible thresholds, there were very few publications on catastrophic scenarios that could be assessed. The most notable coverage is the Working Group II “reasons for concern” syntheses that have been reported since 2001. These syntheses were designed to inform determination of what is “dangerous anthropogenic interference” with the climate system, that the UNFCCC aims to prevent. The five concerns are unique and threatened ecosystems, frequency and severity of extreme weather events, global distribution and balance of impacts, total economic and ecological impact, and irreversible, large-scale, abrupt transitions. Each IPCC assessment found greater risks occurring at lower increases in global mean temperatures. In the Sixth Assessment Report, all five concerns were listed as very high for temperatures of 1.2 °C to 4.5 °C. In contrast, only two were rated as very high at this temperature interval in the previous Assessment Report (6). All five concerns are now at “high” or “very high” for 2 °C to 3 °C of warming (57).

A Sample Research Agenda: Extreme Earth System States, Mass Mortality, Societal Fragility, and Integrated Climate Catastrophe Assessments

We suggest a research agenda for catastrophic climate change that focuses on four key strands:

Understanding extreme climate change dynamics and impacts in the long term

Exploring climate-triggered pathways to mass morbidity and mortality

Investigating social fragility: vulnerabilities, risk cascades, and risk responses

Synthesizing the research findings into “integrated catastrophe assessments”

Our proposed agenda learns from and builds on integrated assessment models that are being adapted to better assess large-scale harms. A range of tipping points have been assessed (5860), with effects varying from a 10% chance of doubling the social cost of carbon (61) up to an eightfold increase in the optimal carbon price (60). This echoes earlier findings that welfare estimates depend on fat tail risks (31). Model assumptions such as discount rates, exogenous growth rates, risk preferences, and damage functions also strongly influence outcomes.

There are large, important aspects missing from these models that are highlighted in the research agenda: longer-term impacts under extreme climate change, pathways toward mass morbidity and mortality, and the risk cascades and systemic risks that extreme climate impacts could trigger. Progress in these areas would allow for more realistic models and damage functions and help provide direct estimates of casualties (62), a necessary moral noneconomic measure of climate risk. We urge the research community to develop integrated conceptual and semiquantitative models of climate catastrophes.

Finally, we invite other scholars to revise and improve upon this proposed agenda.

Extreme Earth System States.

We need to understand potential long-term states of the Earth system under extreme climate change. This means mapping different “Hothouse Earth” scenarios (21) or other extreme scenarios, such as alternative circulation regimes or large, irreversible changes in ice cover and sea level. This research will require consideration of long-term climate dynamics and their impacts on other planetary-level processes. Research suggests that previous mass extinction events occurred due to threshold effects in the carbon cycle that we could cross this century (4063). Key impacts in previous mass extinctions, such as ocean hypoxia and anoxia, could also escalate in the longer term (4064).

Studying potential tipping points and irreversible “committed” changes of ecological and climate systems is essential. For instance, modeling of the Antarctic ice sheet suggests there are several tipping points that exhibit hysteresis (65). Irreversible loss of the West Antarctic ice sheet was found to be triggered at ∼2 °C global warming, and the current ice sheet configuration cannot be regained even if temperatures return to present-day levels. At a 6 °C to 9 °C rise in global temperature, slow, irreversible loss of the East Antarctic ice sheet and over 40 m of sea level rise equivalent could be triggered (65). Similar studies of areas such as the Greenland ice sheet, permafrost, and terrestrial vegetation would be helpful. Identifying all the potential Earth system tipping elements is crucial. This should include a consideration of wider planetary boundaries, such as biodiversity, that will influence tipping points (66), feedbacks beyond the climate system, and how tipping elements could cascade together (67).

Mass Morbidity and Mortality.

There are many potential contributors to climate-induced morbidity and mortality, but the “four horsemen” of the climate change end game are likely to be famine and undernutrition, extreme weather events, conflict, and vector-borne diseases. These will be worsened by additional risks and impacts such as mortality from air pollution and sea level rise.

These pathways require further study. Empirical estimates of even direct fatalities from heat stress thus far in the United States are systematically underestimated (68). A review of the health and climate change literature from 1985 to 2013 (with a proxy review up to 2017) found that, of 2,143 papers, only 189 (9%) included a dedicated discussion of more-extreme health impacts or systemic risk (relating to migration, famine, or conflict) (69). Models also rarely include adaptive responses. Thus, the overall mortality estimates are uncertain.

How can potential mass morbidity and mortality be better accounted for? 1) Track compound hazards through bottom-up modeling of systems and vulnerabilities (70) and rigorously stress test preparedness (71). 2) Apply models to higher-temperature scenarios and longer timelines. 3) Integrate risk cascades and systemic risks (see the following section) into health risk assessments, such as by incorporating morbidity and mortality resulting from a climate-triggered food price shock.

Societal Fragility: Vulnerabilities, Risk Cascades, and Risk Responses.

More-complex risk assessments are generally more realistic. The determinants of risk are not just hazards, vulnerabilities, and exposures, but also responses (372). A complete risk assessment needs to consider climate impacts, differential exposure, systemic vulnerabilities, responses of societies and actors, and the knock-on effects across borders and sectors (73), potentially resulting in systemic crises. In the worst case(s), a domino effect or spiral could continuously worsen the initial risk.

Societal risk cascades could involve conflict, disease, political change, and economic crises. Climate change has a complicated relationship with conflict, including, possibly, as a risk factor (74) especially in areas with preexisting ethnic conflict (75). Climate change could affect the spread and transmission of infectious diseases, as well as the expansion and severity of different zoonotic infections (76), creating conditions for novel outbreaks and infections (6,77). Epidemics can, in turn, trigger cascading impacts, as in the case of COVID-19. Exposure to ecological stress and natural disasters are key determinants for the cultural “tightness” (strictness of rules, adherence to tradition, and severity of punishment) of societies (78). The literature on the median economic damages of climate change is profuse, but there is far less on financial tail risks, such as the possibility of global financial crises.

Past studies could be drawn upon to investigate societal risk. Relatively small, regional climate changes are linked to the transformation and even collapse of previous societies (7980). This could be due to declining resilience and the passing of tipping points in these societies. There is some evidence for critical slowing down in societies prior to their collapse (8182). However, care is needed in drawing lessons from premodern case studies. Prehistory and history should be studied to determine not just how past societies were affected by specific climate hazards but how those effects differ as societies change with respect to, for example, population density, wealth inequality, and governance regime. Such framing will allow past and current societies to be brought under a single system of analysis (37).

The characteristics and vulnerabilities of a modern globalized world where food and transport distribution systems can buffer against traumas will need to feature in work on societal sensitivity. Such large, interconnected systems bring their own sources of fragility, particularly if networks are relatively homogeneous, with a few dominant nodes highly connected to everyone else (83). Other important modern-day vulnerabilities include the rapid spread of misinformation and disinformation. These epistemic risks are serious concerns for public health crises (84) and have already hindered climate action. A high-level and simplified depiction of how risk cascades could unfold is provided in Fig. 3.

Fig. 3.

Cascading global climate failure. This is a causal loop diagram, in which a complete line represents a positive polarity (e.g., amplifying feedback; not necessarily positive in a normative sense) and a dotted line denotes a negative polarity (meaning a dampening feedback). See SI Appendix for further information.

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Integrated Catastrophic Assessments.

Climate change will unfold in a world of changing ecosystems, geopolitics, and technology. Could we even see “warm wars”—technologically enhanced great power conflicts over dwindling carbon budgets, climate impacts, or SRM experiments? Such developments and scenarios need to be considered to build a full picture of climate dangers. Climate change could reinforce other interacting threats, including rising inequality, demographic stresses, misinformation, new destructive weapons, and the overshoot of other planetary boundaries (85). There are also natural shocks, such as solar flares and high-impact volcanic eruptions, that present possible deadly synchronicities (86). Exploring these is vital, and a range of “standardized catastrophic scenarios” would facilitate assessment.

Expert elicitation, systems mapping, and participatory scenarios provide promising ways of understanding such cascades (73). There are also existing research agendas for some of these areas that could be funded (87).

Integration can be approached in several ways. Metareviews and syntheses of research results can provide useful data for mapping the interactions between risks. This could be done through causal mapping, expert elicitation, and agent-based or systems dynamics modeling approaches. One recent study mapped the evidence base for relationships between climate change, food insecurity, and contributors to societal collapse (mortality, conflict, and emigration) based on 41 studies (88).

A particularly promising avenue is to repurpose existing complex models to study cascading risks. The resulting network could be “stress tested” with standardized catastrophic scenarios. This could help estimate which areas may incur critical shortages or disruptions, or drastic responses (such as food export bans). Complex models have been developed to help understand past large-scale systemic disasters, such as the 2007–2008 global financial crisis (89). Some of these could be repurposed for exploring the potential nature of a future global climate crisis.

Systems failure is unlikely to be globally simultaneous; it is more likely to begin regionally and then cascade up. Although the goal is to investigate catastrophic climate risk globally, incorporating knowledge of regional losses is indispensable.

The potentially catastrophic risks of climate change are difficult to quantify, even within models. Any of the above-mentioned modeling approaches should provide a greater understanding of the pathways of systemic risk, and rough probabilistic guides. Yet the results could provide the foundation for argumentation-based tools to assess the potential for catastrophic outcomes under different levels of temperature rise (90). These should be fed into open deliberative democratic methods that provide a fair, inclusive, and effective approach to decision-making (91). Such approaches could draw on decision-making tools under uncertainty, such as the minimax principle or ranking decisions by the weighted sum of their best and worst outcomes, as suggested in the Dasgupta review of biodiversity (92).

An IPCC Special Report on Catastrophic Climate Change

The IPCC has yet to give focused attention to catastrophic climate change. Fourteen special reports have been published. None covered extreme or catastrophic climate change. A special report on “tipping points” was proposed for the seventh IPCC assessment cycle, and we suggest this could be broadened to consider all key aspects of catastrophic climate change. This appears warranted, following the IPCC’s decision framework (93). Such a report could investigate how Earth system feedbacks could alter temperature trajectories, and whether these are irreversible.

A special report on catastrophic climate change could help trigger further research, just as the “Global warming of 1.5 °C” special report (94) did. That report also galvanized a groundswell of public concern about the severity of impacts at lower temperature ranges. The impact of a report on catastrophic climate change could be even more marked. It could help bring into focus how much is at stake in a worst-case scenario. Further research funding of catastrophic and worst-case climate change is critical.

Effective communication of research results will be key. While there is concern that fear-invoking messages may be unhelpful and induce paralysis (95), the evidence on hopeful vs. fearful messaging is mixed, even across metaanalyses (9697). The role of emotions is complex, and it is strategic to adjust messages for specific audiences (98). One recent review of the climate debate highlighted the importance of avoiding political bundling, selecting trusted messengers, and choosing effective frames (99). These kinds of considerations will be crucial in ensuring a useful and accurate civic discussion.

Conclusions

There is ample evidence that climate change could become catastrophic. We could enter such “endgames” at even modest levels of warming. Understanding extreme risks is important for robust decision-making, from preparation to consideration of emergency responses. This requires exploring not just higher temperature scenarios but also the potential for climate change impacts to contribute to systemic risk and other cascades. We suggest that it is time to seriously scrutinize the best way to expand our research horizons to cover this field. The proposed “Climate Endgame” research agenda provides one way to navigate this under-studied area. Facing a future of accelerating climate change while blind to worst-case scenarios is naive risk management at best and fatally foolish at worst.

Data Availability

Previously published data were used for this work (45464849).

Acknowledgments

We thank Benedikt Knüsel, Mark Lynas, John Broome, Ingo Fetzer, Peter Watson, Florian Ulrich Jehn, Zoe Cremer, Constantin Arnscheidt, Nathaniel Cooke, two anonymous reviewers, and the PNAS editor for their helpful comments. We thank Dirk Biermann, Janin Schaffer, and Killian Cremer for their assistance with Fig. 3.

Supporting Information

Appendix 01 (PDF)

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SHOW FEWER

Comparative capitalisms in the Anthropocene: a research agenda for green transition

Jeremy Green

Department of Politics and International Studies, University of Cambridge, Cambridge, UK

ABSTRACT

Climate change and broader Anthropogenic environmental risks pose existential threats to humanity. Human-driven environmental change has come to be understood through the concept of the ‘Anthropocene’. Anthropocene risks demonstrate that existing fossil-fuel intensive and growth-oriented capitalist development are unsustainable. The urgent need to transition towards greener forms of development is widely recognised. Comparative Political Economy (CPE) should be well placed to guide and evaluate green transition, yet it typifies a wider disconnect between political economy and environment. This article seeks to understand and transcend that disconnect. Developing a critical genealogy of CPE’s post-war emergence, the article examines CPE’s paradigmatic evolution and fitness for grappling with the Anthropocene. It argues that dominant theoretical paradigms (Varieties of Capitalism and Growth Models approaches) are grounded in a ‘nature/society’ dualism that treats national economic models as environmentally disembedded and causally independent from the Earth System. Economic growth is uncritically elevated as a dominant comparative metric, normative aspiration, and policy objective for capitalist development. These characteristics limit the capacity to engage with green transition. Embedding CPE within ecological considerations, the article selectively repurposes the field’s existing conceptual insights to develop hypotheses concerning comparative capitalisms and green transition in the Anthropocene.

KEYWORDS

Anthropocene, Comparative Political Economy, green transition, growth models, paradigms

Climate change poses existential threats to humanity. Our current trajectory risks a ‘Hothouse Earth’ scenario in which feedback loops within the Earth System trigger runaway warming and ecosystemic breakdown, heralding a planetary pathway inhospitable to human life. This scenario is possible even if the Paris Agreement target for keeping global warming to within 2 degrees Celsius is met (Steffen et al. 2018). Without large-scale efforts to rapidly decarbonise economies and promote environmentally sustainable practices, we face the possibility of civilisational collapse (Wallace-Wells 2019, Paterson 2020).

An expanding body of interdisciplinary scholarship comprehends this unique situation through the concept of the Anthropocene – a geological epoch in which human societies are primary drivers of climatic transformation (Steffen et al. 2011). More than a pseudonym for global warming, the Anthropocene represents a broader range of changing Earth System dynamics bearing the mark of human agency. Environmental consequences range from collapsing biodiversity prompted by industrial agriculture and rapid urbanisation, to the exhaustion of global fisheries and the reorientation of the Earth’s water, nitrogen, and phosphate cycles (Bonneuil & Fressoz 2016, p. 4).

Existing patterns of growth-oriented and fossil-fuel intensive human economic activity are unsustainable (Gough 2017, Raworth 2017). The need for a green transition towards a decarbonised and environmentally sustainable economy now has broad support. But the objects, actors, and goals of this transition remain ambiguous (Newell, Paterson & Craig 2020, p. 1). Comparative Political Economy (CPE) with its attentiveness to comparative institutional responses to common challenges and holistic theorisation of capitalism, should be well placed to guide and evaluate green transition. Yet CPE typifies the wider disconnect between political economy and ecological concerns, with climate change a troubling ‘blindspot’ (Paterson 2020). Even while environmental constraints on economic development become dangerously apparent, CPE remains silent on the ecological modalities of comparative capitalisms.

In this article, I critically interrogate CPE’s disciplinary foundations to assess its fitness for studying capitalism in the Anthropocene. Recognising the value of a comparative approach to green transition, I ask – how should we study comparative capitalisms in the Anthropocene? I argue that CPE’s theoretical foundations and research agenda limit its capacity to engage environmental issues. Ontologically and epistemologically, CPE is grounded in a ‘nature/society’ dualism that treats national economic models as environmentally disembedded and causally independent from the Earth System. Tracing the field’s post-war development, I show how this dualism is embodied by CPE’s elevation of economic growth as a dominant comparative metric, normative aspiration, and policy goal for capitalist development. The contemporary rise of the ‘Growth Models’ approach entrenches these disabling commitments at a time of heightened environmental crisis. These qualities render the field ill-equipped to grapple with the Anthropocene. Studying capitalism comparatively is, though, vitally important to guiding green transition. We need awareness of how institutional, sectoral, and holistic transformations within and between political economies can function in mutually beneficial and reinforcing ways. I propose that, despite the field’s unecological assumptions and uncritical entanglements with growth, existing analytical insights from comparative capitalism literature contain promising foundations and partial truths that can be environmentally embedded and productively reoriented to engage with green transition.1 This requires leveraging transdisciplinary insights, from ecological economics to Earth System governance, to retool CPE for the Anthropocene. It necessitates an approach to the comparative evaluation of political economies that prioritises issues of energy, emissions, and environmental impact.

I begin by tracing the ontological and epistemological significance of the Anthropocene for the social sciences. In the second section, I explore entanglements between CPE’s post-war emergence and the parallel rise of the economic growth paradigm, demonstrating how anthropogenic environmental threats challenge growth’s continued viability and desirability and question its status within dominant theoretical approaches. The third section evaluates the field’s paradigmatic shift from Varieties of Capitalism to the Growth Models approach, highlighting the field’s thematic narrowing and environmental silences, while revealing the continuity of growth-affirming and unecological assumptions. In the fourth section, I outline alternative hypotheses to guide CPE research into green transition. I conclude by calling for CPE to decentre growth analytically and normatively.

Anthropocene ontology and the nature/society dualism

The Anthropocene is premised on a transformative ontological claim – human societies and activities should be understood as highly interactive drivers of a ‘complex, adaptive Earth System’ (Steffen et al. 2018, p. 8526).2 This claim, supported by abundant empirical evidence linking socio-economic processes with environmental degradation, centres human agency within causal processes shaping the Earth System (Dryzek 2016, p. 940). How exactly human agency is imbricated within these processes is, nonetheless, sharply contested. Critics of the prevailing Anthropocene discourse have argued that it naturalises humanity’s destructive ecological imprint through a species-level analysis that elides sharply differentiated degrees of responsibility attached to sociologically and geographically distinctive social forces (Malm & Hornborg 2014, p. 63, Moore 20172018). Despite disagreements over exactly who bears responsibility for generating anthropogenic environmental risks, there is broad acceptance that destructive interdependencies between human societies and the Earth System disrupt modernist ontological and analytical binaries between ‘nature’ and ‘society’ (Malm & Hornborg 2014, p. 62–3, Bonneuil & Fressoz 2016, Moore 2017, Kelly 2019, p. 1).

Accepting the ontological premise of the Anthropocene means recognising that human institutions depend upon the regulative stability of ecosystemic and biogeophysical foundations. This has significant implications for the social sciences. Many social science disciplines emerged during a period of rapid European economic development in which humans appeared unconstrained by ecological limits (Moore 2017, p. 596). Sociology, for example, was profoundly shaped by the historical coincidence between its disciplinary emergence and accelerated economic development (Catton & Dunlap 1980, p. 24). This led to the construction of social theories premised, often unconsciously, on an idea of ‘human exemptionalism’ that represented human societies as, ‘exempt from ecological constraints’. Modern economic thought has been similarly anchored in a cornucopian postulate of infinitely exploitable natural resources and limitless ecological horizons, framed geographically through their representation as new frontiers to be harnessed for economic expansion (Jonsson 2014).3

Unecological suppositions within modern social sciences leave extant paradigms ill-equipped to respond to the Anthropocene. We need critical genealogies that interrogate paradigmatic foundations of contemporary approaches, opening new paths of enquiry. Scholars have called for the development of new ‘environmental humanities’ and a shift from social to ‘socio-ecological systems’, recognising social relations’ deep entanglement and co-constitutive relationship with biophysical processes (Bonneuil & Fressoz 2016, Moore 2017, p. 598, Dryzek 2016, p. 941). A disconnect remains between Anthropocene scholarship highlighting the nature/society separation underpinning modern social sciences, and the orientation of prevailing paradigms.

Within economics and political economy, dominant paradigms continue to treat economy and environment as causally dissociated. This is true of CPE. Threats posed by climate instability and ecological deterioration are increasingly apparent, and their political salience has risen dramatically, yet the field’s recent evolution has not kept pace. CPE has moved from a focus on ‘Varieties of Capitalism’ (VOC) to a concern with ‘Growth Models’. The Growth Models approach transcends the supply-side preoccupations of VOC, rebooting Keynesian-Kaleckian macroeconomics to identify institutional drivers of aggregate demand across distinctive national economies (Baccaro & Pontusson 2016). But it continues to treat ‘demand’, ‘growth’ and the ‘economy’ as neutral analytical categories, conceptually uncontroversial and independent from environmental contexts. Both VOC and GM approaches overlook the relevance of energy sources and sectors to comparative capitalism. This despite the existence of longstanding traditions of ecological economics that reckon with the perils of fossil-intensive growth within a finite global ecosystem (Georgescu-Roegen 1971, Daly 1974, Costanza et al. 2015). What explains this disconnect between Anthropocene environmental threats, the widely recognised need for green economic transition, and CPE’s narrowing around an unecological problematique of national pathways to economic growth? The following section explores the parallel rise of the economic growth paradigm and the post-war emergence of CPE. I argue that CPE’s rise was conditioned by the emergence of economic growth as a hegemonic developmental framing, becoming increasingly focussed on understanding national pathways to maximising economic growth. This leaves the field unable to critically interrogate the idea of growth itself, along with its deeper analytical foundations.

CPE and the problem of growth

Contemporary ‘ecopolitical’ discourses of green transition diverge over the viability of reconciling growth with environmental sustainability (Buch-Hansen & Carstensen 2021, p. 2). Dominant green growth discourses, supported by institutions such as the World Bank, stress capitalism’s compatibility with sustainability, suggesting that stronger environmental protections can enhance growth (Jacobs 2012, Meckling & Allan 2020, p. 436). De-growth and post-growth perspectives, conversely, argue that continued economic growth and environmental stability are most likely irreconcilable and the growth paradigm itself is an obstacle to an ecologically restorative political economy (Kallis, et al. 2018, Hickel 2020). Despite their breadth and disagreements, prevailing green transition discourses entail consideration of the environmental and energy dimensions of economic growth beyond that provided by dominant CPE approaches.4 These approaches treat growth as an objective, environmentally independent, and largely uncontested comparative metric. Questions of energy, emissions, and resource intensity hardly register. A brief genealogy of the field’s post-war development helps explain the schism between emerging discourses of green transition, historical traditions of ecological economics, and CPE.

The post-war emergence of CPE as a distinctive subfield coincided with the consolidation of economic growth as a hegemonic development goal. The growth paradigm can be understood as an institutionalised way of thinking that represents economic growth as ‘necessary, good, and imperative’ (Kallis et al. 2018, p. 294). Its history is deeply entangled with the rise of the ‘economy’ as an object of analysis. Early foundations date to the birth of political economy from the eighteenth century in France and Britain. As part of the broader fracturing of the natural and social sciences, liberal political economists conceived the economy as a distinctive and self-regulating sphere with independent governing principles (Kallis et al. 2018, 294, Tellmann 2018, p. 3).

It was during the 1930s and 1940s, though, that the modern notion of the economy as a geographically bounded, self-reproductive system crystallised. The formation of a new statistical construct to measure total national economic output, Gross Domestic Production (GDP), played a central role. Pioneering work on the measurement of national income, led by Simon Kuznets’s efforts in the US and the work of Colin Clark, Richard Stone and Keynes’s within the UK during the 1930s and 1940s, shaped the emergence of GDP as a new statistical imaginary that constructed the modern economy as a measurable and governable entity (Desrosières 1998, p. 172, Coyle 2015, p. 12–7, Schmelzer 2016, p. 81–92). These measurements did not account for the depletion of energy resources nor other environmental damage caused by economic expansion (Mitchell 2011, p. 124, 140, Schmelzer 2016, p. 100). By the 1950s economic growth, indicated by increasingly sophisticated techniques of national income accounting, had emerged as a policy goal. A transnational network of Western economic practitioners worked through international organisations to internationalise national income accounts and standardise the primacy of growth (Schmelzer 2016, p. 94).

Growth’s prevalence as a political-economic aspiration underlay the emergence of CPE after WWII. Disciplinary histories trace the post-war revitalisation of CPE to a common source – Andrew Shonfield’s 1965 magnus opus, Modern Capitalism. Shonfield’s comparative study of economic development in the UK, France, Germany and the US, became a touchstone for subsequent generations of scholarship (Hall & Soskice 2001, Clift 2014, p. 7, Baccaro & Pontusson 2016, p. 176, Menz 2017, p. 38). The book persuasively applied the comparative method. Shonfield anchored his investigation into a range of contemporary themes, from planning to full employment, within appreciation of the specific institutional foundations identifiable across capitalist states (Clift 2014, p. 7).

Intellectual histories of CPE usefully establish common points of origin. But these accounts tend to naturalise an important feature of Shonfield’s study – its preoccupation with the drivers, metrics, and possible futures of economic growth. Modern Capitalism is a book shaped by the dominance of growth. Shonfield set out to understand how the stagnation of the Depression-era had been overcome via the sustained economic growth of the post-war period. It was this context of the ‘high prosperity and rapid growth of post-war capitalism’ within the West that motivated Shonfield’s investigation (Shonfield 1965, p. 4–19). He argued that three key factors helped explain the period of unprecedented prosperity during the 1950s and 60s. Firstly, that economic growth ‘has been much steadier than in the past’. Secondly, production had expanded rapidly over the period. Finally, the benefits of the ‘new prosperity’ generated by the growth of economic output had been ‘very widely diffused’ (Shonfield 1965, p. 61–2). This explanatory framework bore all the hallmarks of the growth paradigm’s newfound hegemony. Shonfield sought to explain the overall prosperity of the West, understood as the fruits of economic growth, by arguing that growth had been more stable, rapid, and evenly distributed.

National economic statistics helped bring comparative representation of discreet economic units into being, heightening the empirical and conceptual possibilities of CPE. The interlocking origins of CPE and the growth paradigm had important normative implications too. Shonfield’s study carries the imprint of a liberal cornucopian optimism that conjures visions of unending progress and unlimited resource frontiers. He optimistically opines that ‘continuing prosperity and uninterrupted growth on the scale of recent years are possible in the future’, and suggests that, ‘the underlying conditions in the second half of the twentieth century are more favourable than at any time in the history of capitalism’ (Shonfield 1965, p. 63–4).

Shonfield’s work was critical to the emergence of CPE, reviving the comparative method and identifying core themes of post-war capitalism. Viewed from the vantage point of the Anthropocene, though, this growthist optimism rests on an ontological nature/society dualism that dangerously disguises ecological harms incumbent to capitalist development. The rise of the ‘Modern Capitalism’ that Shonfield celebrated was linked, causally and chronologically, to unprecedented intensification of environmental deterioration. Economic growth was central to this process (McNeill & Engelke 2016, p. 132–54, Dryzek & Pickering 2018, p. 13). Three quarters of human-induced carbon dioxide emissions into the atmosphere occurred post-1945. The number of motor vehicles increased from 40 million to 850 million. The volume of annual plastic production increased from 1 million tons in 1945 to almost 300 million by 2015. Production of nitrogen synthesisers, predominantly for use in agricultural fertilisers, increased from 4 million tons to over 85 million tons across the same period (McNeill & Engelke 2016, p. 4). Earth Scientists refer to this period as the ‘Great Acceleration’ – a concept that captures the ‘holistic, comprehensive and interlinked nature of the post-1950 changes simultaneously sweeping across the socio-economic and biophysical spheres of the Earth System, encompassing far more than climate change’ (Steffen et al. 2015, p. 82). From the 1950s, there is clear evidence of major shifts in the condition of the Earth System exceeding the normal range of variability of the Holocene, and driven by human socio-economic activity (Steffen et al. 2015, p. 93–4).

The Anthropocene prompts a critical re-evaluation of the drivers of growth and prosperity. It raises grave doubts over the viability of present and future economic growth if we are to respond to and contain multiple, intersecting, environmental threats. While orthodox economic thought elevated growth to an uncontested status, a shadow tradition of ecological thinking, stressing finitude, entropy, and waste, developed alongside (Boulding 1966, Georgescu-Roegen 1971, Daly 1974). Ecological economists have long acknowledged the biophysical dimensions of economic growth (Gowdy & Erickson 2005, p. 218). Economic processes involve the conversion of energy and natural resources into ‘goods, services and waste’ (Kallis et al. 2018, p. 292). This has important implications for addressing the leading edge of Anthropocene environmental instability – rapid global warming driven by greenhouse gas emissions. There are firm grounds for scepticism concerning the prospects of decoupling economic growth from resource use and, critically, carbon emissions. Even when efficiency gains are made, their impact in lowering costs within a market-based system tends to lead to ever higher consumption of finite resources and associated increases of environmentally damaging pollution (Kallis, et al. 2018, p. 292).

Green growth arguments have gained currency in policy discussions (Meckling & Allan 2020, p. 436).5 These arguments rest on optimistic outlooks for the possibility of ‘decoupling’ growth from both carbon emissions and wider resource use (Jackson 2017, p. 87). There is some evidence to support claims for ‘relative decoupling’, whereby the emissions or material intensity of economic output declines relative to the rate of economic growth, signalling an improvement in efficiency. But meeting the Paris Agreement target of 2 degrees warming, in the context of continued economic growth, requires ‘absolute decoupling’ with regard to carbon emissions – an absolute decline in emissions while economic output continues to rise. There is no historical evidence of absolute decoupling on this scale (Jackson 2017, p. 84–90). Hickel and Kallis’ literature survey (2019, p. 1) finds that absolute decoupling of growth from carbon emissions is, ‘highly unlikely to be achieved at a rate rapid enough to prevent global warming over 1.5C or 2C’ (Hickel and Kallis 2020, p. 1). Evidence suggests that although absolute decoupling of carbon emissions from economic output is possible (and underway in some countries) it is very unlikely to occur fast enough to meet the Paris Agreement targets within a context of continued economic growth. The problem, the authors conclude, is growth itself. Growth leads to increased demand for energy, making the transition to renewable energy harder and leading to increased emissions from changing land use and industrial processes (Hickel and Kallis 2020, p. 12). Whatever our view on the viability or otherwise of green growth, the nexus between energy and emissions concerns needs to be given much greater prominence in assessing comparative capitalisms.

Environmental anxieties surrounding economic growth are not new. From Malthusian predictions about population in the eighteenth century to the ‘Limits to Growth’ report in the 1970s, concerns about pressures on finite natural resources and fragile ecosystems have shadowed confident prognoses of economic progress (Jonsson 2014, p. 14, Dryzek 2016, p. 939). Scientific evidence and understanding surrounding the ecological impacts of economic growth is stronger than ever. Why, then, has CPE moved further away from a critical appraisal of the prospects for capitalism and growth over recent years? To understand this paradox, I argue, we need to understand disciplinary patterns of knowledge production within CPE.

From VOC to Growth Models

CPE has evolved in response to major transformations within the global economy (Clift 2014, p. 7, Baccaro and Pontusson 2016, p. 176). Accelerated economic globalisation in the 1990s inspired the emergence of Hall and Soskice’s (2001) influential ‘Varieties of Capitalism’ (VOC) framework, exploring possibilities for continued national economic diversity in a context of heightened international competition. After the 2007/8 financial crisis, a contending framework emerged. The ‘Growth Models’ (GM) perspective pioneered by Baccaro and Pontusson (20162020) addresses VOC’s limitations by highlighting neglected issues of inequality and distributional struggle. It has inspired a large volume of supportive scholarship (Perez & Matsaganis 2018, Amable et al. 2019, Bohle & Regan 2021, Rothstein 2021, Schedelik et al. 2021, Stockhammer 2021).

What are the core claims of these two approaches? I begin with VOC. Hall and Soskice introduced VOC in the early 2000s, during the high-water mark of globalisation. They rejected the premise that globalisation would drive comparative institutional convergence, seeking to demonstrate how distinctive forms of comparative advantage could be maintained. Hall and Soskice displaced CPE’s traditional focus on the state and positioned firms as the pivotal agents. Rational firms encounter specific ‘coordination problems’, with their capacity to deliver economic goods ultimately dependent on effective coordination with a diverse institutional actors, from employers’ associations to trade unions. Identifying five core spheres within which firms must overcome coordination problems, Hall and Soskice developed an influential twofold typology of ‘liberal market economies’ (LMEs) and ‘coordinated market economies’ (CMEs). Firms within each typology rely upon different mechanisms to secure effective coordination (Hall and Soskice 2001, p. 1–8).

Importantly, both types of economy could prosper under conditions of advanced globalisation, confounding expectations of cross-national convergence. This claim is underpinned by the notion of ‘institutional complementarities’ – whereby the presence of one institution increases the returns from/efficiency of another. Institutional complementarities lead to patterns of institutional clustering in response to the competitive pressures of international trade. Nations with specific forms of coordination in some spheres of the economy, ‘should tend to develop complementary practices in other spheres as well’ (Hall and Soskice 2001, p. 17). Complementarities generate self-reinforcing positive feedback loops incentivising further institutional alignment.

VOC dominated CPE from the early 2000s. Despite various critiques, VOC’s agenda-setting status endured. More recently, though, the paradigmatic centrality of VOC has been loosened. Scholarship has emerged utilising a new ‘Growth Models’ framework for comparative capitalism. The landmark contribution is Baccaro and Pontusson’s (2016) article, ‘Rethinking Comparative Political Economy’. They respond to a perceived fracturing of CPE scholarship during the post-crisis period – a division between those positing a common regressive developmental trajectory and others who claim that diversity endures. They seek to transcend this apparent division through greater sensitivity to both commonalities and differences between advanced capitalist economies (Baccaro & Pontusson 2016, p. 176)

Baccaro and Pontusson deploy a Post-Keynesian/Kaleckian macroeconomic perspective that emphasises the importance of different sources of aggregate demand, particularly exports and household consumption, as determinants of capitalist variation. Distinguishing between export-led and consumption-led models of growth, they associate each model with distinctive implications for inequality and distributive conflict. These growth models are both ‘more numerous’ and ‘more unstable’ than the VOC typologies. Emphasising the conditioning impetus of the post-Fordist period, they distinguish their view from the more deeply rooted institutional equilibria posited by VOC, hinting at greater (regulation school-inspired) sensitivity to transformations in capitalist production regimes (Baccaro & Pontusson 2016, p. 175-6, 186).

Exploring four cases, Germany, Sweden, Italy and the UK, they construct their model on observations of a cross-cutting post-Fordist decline of wage-led growth and an associated distributional shift in favour of capital and ‘high-income households’ (Baccaro & Pontusson 2016, p. 198). This presents a common puzzle for these economies – how can the ‘faltering wage driver’ of aggregate demand be replaced? How can economic growth be maintained in a context of secular wage decline? The divergent pathways of response to this common problem are the comparative crux for establishing patterns of continuity and variation across the cases. Germany, Sweden and the UK represent three different ‘solutions’ to the problem of how to generate post-Fordist growth, while Italy’s experiences of ‘sluggish growth’ and ‘overall stagnation’ cast it as a deviant failing case (Baccaro & Pontusson 2016, p. 176).

GM scholarship offers valuable correctives to VOC’s deficiencies. VOC’s technocratic and depoliticised representation of capitalism has been charged with ignoring crises and class struggles (Streeck 2010, Bruff 2011). GM literature counters VOC’s understatement of class and inequality through greater attentiveness to distributional dynamics. It also challenges the hallmark VOC distinction between LMEs and CMEs, which has been criticised for overlooking the unevenness of institutional development, neglecting the contingent and politically constructed nature of pressures for ‘convergence’ emerging from globalisation, and reifying ideal types into actually existing forms of capitalism (Brenner, Peck & Theodore 2010, p. 186–8, Hay 2004, p. 242–3, Hay 2020, p. 307). By contrast, GM scholarship highlights substantial degrees of variation within archetypal LMEs and CMEs across comparative variables such as inequality growth and household indebtedness (Baccaro & Pontusson 2016, p. 178–84).

The timing and content of this nascent theoretical shift from VOC to GM reflects both CPE’s sensitivity to changing structural conditions within global capitalism and the selectiveness of that sensitivity. The success of the GM perspective is attributable to VOC’s failure to depict actually existing capitalism. Post-2007/8, VOC’s depoliticised, supply-side vision of institutional dynamics no longer resonates with advanced capitalist economies characterised by rising inequality, divisive legitimation crises, and large-scale macroeconomic intervention. The GM approach substantively incorporates these themes. Simultaneously, though, it evades a critical question facing contemporary capitalism – how can advanced economies implement rapid and large-scale green political-economic transition in response to anthropogenic environmental instability? Despite the urgent need for decarbonisation, the GM approach continues VOC’s exclusion of energy, emissions, and environmental profiles from its typological representations. While opening to broader macroeconomic traditions, GM literature reproduces VOC’s neglect of ecological economics and green economic thought.

What explains this selective engagement with contemporary themes in global capitalism? Why are some traditions of economic thought leveraged while others are ignored? What determines issue hierarchies in the construction of theory? Social science paradigms shape future research patterns by identifying theoretically significant facts, creating a hierarchy of research questions, and determining appropriate forms of evidence (Geddes 2003, p. 7). Academic disciplines are highly networked communities guided by specific rules about ‘admissible’ work, norms about how research should be conducted and results presented, and frequently, ‘a clear sense of where disciplinary boundaries reside’ (Rosamond 2007, p. 235). These insights render CPE’s neglect of anthropogenic environmental threats intelligible. Despite notable differences between VOC and the GM perspective, foundational theoretical continuities hamper the field’s potential to engage green transition. Core background assumptions underpin CPE’s paradigmatic development. These assumptions delimit specific parameters about what constitutes a legitimate object of enquiry, permissible dimensions of comparative analysis, appropriate methods, and plausible assumptions regarding capitalism.

Two foundational continuities, defined in Figure 1 below as first order theoretical assumptions, situate both VOC and the Growth Models perspective within the growth-affirming lineage of CPE post-Shonfield. Firstly, at the ontological level, both perspectives maintain a nature/society dualism that represents capitalism as a bounded an internally self-reproductive system independent of environmental entanglements. Capitalism is understood to be exogenous to environmental considerations, with the analysis of how capitalist institutions change over time isolated from consideration of Earth System dynamics. These unecological assumptions are not confined to CPE. They form an often unconscious background to the majority of the social sciences (Catton & Dunlap 1980, p. 23). Holocene conditions of relative Earth System stability ensured that political and economic institutions could assume the continued stable presence of the ecological systems that support human society (Dryzek 2016, p. 938). Secondly, in a normative/analytical sense, GDP growth functions positively as a guiding aspiration and primary axis of comparative differentiation for evaluating capitalism.

Figure 1. Comparative capitalisms and the Anthropocence.

These assumptions shape the primary research questions and understanding of capitalist development. VOC asks which economic policies can enhance economic performance, focusing on increased institutional efficiency geared towards ‘higher rates of growth’ as an explicit objective (Hall & Soskice 2001, p. 2). GM literature relies on a normative/analytical binary between ‘successful’ and ‘failing’ growth strategies. Institutional characteristics of national economies are considered with regard to their propensity to threaten or unbalance economic growth (Baccaro & Benassi 2017, p. 85–6). Italy is considered as a deviant case due to its inability to secure high levels of growth (Baccaro & Pontusson 2016, p. 176). GDP is elevated as the dominant comparative metric and normative standard for evaluating economic development. Ecologically embedded indicators of capitalist development – central to ecological economics – are excluded. This prohibits recognition of potentially positive environmental and social impacts of displacing growth’s centrality.

Regarding second order foundations, the VOC approach identifies rational firms as primary agents. The economy is viewed as a sphere within which, ‘multiple actors develop competencies by devising better ways of coordinating their endeavours’ (Hall & Soskice 2001, p. 45). This neglects the environmental foundations of economic activity. From the firm to the macro-economic scale, specific assumptions about ‘efficiency’ and ‘complementarity’ are constructed outside of environmental considerations of energy intensity, waste, or emissions (Hall & Soskice 2001, p. 17, 32, Soskice 2007, p. 89, Iversen, Soskice & Hope 2016, p. 171). A Ricardian premise of efficient national economic responses to international trade competition, via comparative institutional advantage, naturalises unecological assumptions about economic efficiency by ignoring the environmental preconditions and consequences of trade and specialisation. In rare instances where the VOC framework has been mobilised to engage issues of climate change adaptation comparatively, its unecological foundations are left unquestioned (Mikler 2011, Mikler & Harrison 2012).

GM literature assumes a more macroeconomic vantage point and centres distributional struggles between social forces. The governing macroeconomic assumptions of CPE are shifted from a New Keynesian (VOC) to a Post-Keynesian (GM) axis. This move enhances recognition of aggregate demand’s impact on long-term productive potential, increases awareness of class power as a distributional determinant, and enables more optimistic views on the scope for, ‘growth-enhancing policy interventions’ (Baccaro & Pontusson 2020, p. 17–22). But it too treats core analytical categories such as consumption, demand, income and production as environmentally disembedded. It posits a set of logical macroeconomic interrelations independent of environmental context or consequences and fails to consider ecological constraints on aggregate demand management (Baccaro & Pontusson 2016, p. 182).

Ultimately, the principal disagreement between the two perspectives is fairly minor. It centres on the prospects for macroeconomic intervention to positively enhance long-term wage growth and employment. VOC’s New Keynesian origins lead to a more pessimistic reading, while the GM perspective leverages Post-Keynesian/Kaleckian insights to generate more auspicious conclusions. In reaching these contrasting conclusions, both theories explicitly draw inspiration from strands of twentieth century macroeconomic theory. Mainstream economic theory, from neoclassical to Keynesian, has systematically excluded ecological costs of economic activity, conceptualising the economy as an extra-natural system divorced from ecological foundations (Mitchell 2011, p. 136–41). The rise of Keynesian economic thought, a common lineage for both approaches, is causally imbricated with the Great Acceleration. Keynesian assumptions about the capacity to boost demand and attain full employment through increasing economic output discount the ecological foundations of capitalism (Mann & Wainwright 2018, p. 243–4). Energy and emissions considerations do not feature as constraints on the prospects for growth. This common theoretical inheritance severely limits the capacity of contemporary CPE to think ecologically about political economy. Ecological economics and Earth Systems scholarship provide more fertile transdisciplinary resources for CPE to engage with green transition.

Problematising CPE’s environmental silences is not sufficient to develop a comparative research agenda for green transition. Nor should we entirely discount achievements of prevailing approaches, which have been highly productive for understanding comparative capitalisms. Instead, we should consider how existing analytical insights might be repurposed to equip CPE for the Anthropocene. This requires reviewing additional conceptual deficiencies characteristic of the field. Firstly, concerning institutional dynamics, scholars have challenged VOC’s narrow, rational-functionalist, understanding of institutions that reduces the motivations of institutional development to efficiency gains, squeezing out the role of political struggles, accidental/unintended outcomes, and cultural or ideational causes (Watson 2003, p. 232, Hay 2004, p. Streeck 2010, p. 27, Clift 2014, p. 101–13). VOC has further been criticised for relying on a ‘punctuated equilibrium’ model that understates incremental institutional development (Streeck & Thelen 2005). Secondly, VOC’s methodological nationalism produces a truncated sense of the spatio-temporal parameters of capitalist development that reifies national territorial boundaries, obscures the unevenness of economic development, and occludes the relevance of different scalar determinants of institutional transformation (Peck & Theodore 2007, p. 738–40, Brenner, Peck & Theodore 2010, p. 187–8). Shallow historical contextualisation neglects longer-term developmental dynamics, including sources of crisis and instability, as well as the formative impact of deep-rooted historical antecedents such as distinctive trajectories of industrialisation (Jessop 2014, p. 48, Coates 2014, p. 173). Thirdly, critics have questioned VOC’s rationalist firm-centred ontology and a related down-playing of the importance of state capacity. Assuming rational firms exaggerates functional, utility maximising motives, and disregards cultural and contingent determinations of institutional development (Hay 2005, p. 111). By examining the firm-centred micro-foundations of capitalism, VOC offers an underdeveloped sense of macro-political structures (Hancké et al. 2007, p. 14–6). Finally, VOC has downplayed the importance of sectoral differences, determinants, and comparisons within and across states (Hay 2005, p. 110, Crouch, Schröeder & Voelzkow 2009, p. 656–7).

Owing to the field’s paradigmatic convergence around an increasingly demarcated research agenda, some of these limitations shape the GM perspective too. Conceptually, GM’s spatio-temporal coordinates are comparably narrow. The approach shares VOC’s methodological nationalism, treating coherent macro-economic models within territorial states as privileged units of analysis. GM’s scalar deficiencies render it similarly inattentive to subnational unevenness (Clift & McDaniel 2021, p. 2). In terms of historicising capitalism, Baccaro and Pontusson (2016, p. 176, 2020, p. 24) posit the post-Fordist transition of the 1970s, and the resultant decline of wage-led growth, as a common stimulus prompting divergent comparative responses. But the heavy reliance on macro-economic theory, with its ahistorical ontological foundations, ensures little attention is paid to the historicity of institutions.

Yet GM scholarship also transcends conceptual weaknesses of VOC to provide firmer foundations for engaging green transition. Regarding institutional dynamics, Baccaro and Pontusson draw on the ‘power resource tradition’ to foreground how competing social blocs and electoral coalitions shape institutional outcomes. A Gramscian conception of political hegemony gives greater scope for ideational determinants of institutional change too (Baccaro & Pontusson 2019, p. 1–3). Enhanced attentiveness to sectoral components of growth models provides clues for how we might examine green transition comparatively. Departing from VOC’s firm-centric foundations, Baccaro and Pontusson construct a broader ontology grounded in distributional struggles between distinctive socio-economic coalitions and sectoral interests.6 This enables a stronger foundation for considering the variety of actors that might shape green transition.

Despite their environmental elisions, then, CPE perspectives contain partial foundations for a comparative approach towards green transition. Existing scholarship often focuses narrowly on carbon markets (Newell & Paterson 2010, Bryant 2019), or the agency of particular actors (Wright & Nyberg 2015), without assessing comparative institutional variation and continuity. Literature on socio-technical transitions shares CPE’s institutionalist ontology and emphasis on path dependency, but lacks a wider macro understanding of comparative political-economic dynamics (Unruh 2000, Lockwood et al. 2017).

A CPE approach enables comparative assessment of national economic profiles, institutions, and sectors to inform specific pathways for green transition. Policy interventions required for green transition vary with the institutional characteristics, sectoral composition, and supply/demand drivers within political economies. For example, export-led (Germany) and consumption-driven (UK) economic models will likely have distinctive modalities of environmental impact. Understanding trade and payments interdependencies between countries, linked to comparative specialisation, enhances possibilities for mutually reinforcing and coordinated green transitions. Identifying comparative drivers of environmental harms can differentiate between multi-scalar clusters of institutions that produce negative environmental effects, and those that generate ecologically restorative prosperity. Comparative modelling could facilitate policies that identify and promote ecological complementarities – whereby the existence of one green institution/sector increases the ecological benefits available from another – between institutions and sectors. For example, enhancing sustainable, local non-meat agricultural production and promoting vegetarian offerings within the hospitality sector.

As I show in the research hypotheses below, theoretical insights from existing perspectives can be leveraged directly, or productively inverted, to equip CPE to engage with green transition. These hypotheses attempt to illuminate a path beyond the nature/society dualism within CPE and, correspondingly, to decentre the analytical primacy of growth while maintaining valuable insights from CPE scholarship to examine ecologically embedded variables.

Studying comparative capitalism in the Anthropocene

Capitalism in the Anthropocene no longer operates within Holocene conditions of benign climatic stability. Socio-economic institutions must be conceptualised in relation to a broad set of ‘Anthropocene risks’ related to different forms of environmental instability. They emerge from human-driven (anthropogenic) processes, demonstrate interactive patterns of global socio-ecological connectivity, and display ‘complex, cross-scale relationships’ (Keys, et al. 2019, p. 668). Acknowledging these risks has important implications for CPE, which situates institutional analysis at the core of its intellectual agenda (Clift 2014, p. 16). It makes sense, therefore, to begin our hypotheses with a consideration of institutional dynamics.

Hypothesis 1: Pathologically path dependent institutions drive environmental instability and face greater pressures for transformation

CPE emphasises path dependent institutional development (Clift 2014, p. 101–6).7 Within VOC, feedback mechanisms arising from ‘institutional complementarities’ shape path dependent development towards typological termini (Hall & Soskice 2001, p. 1, 17, Soskice 2007, p. 89, Iversen, Soskice & Hope 2016, p. 164). GM scholarship shares a conviction in path dependency (exemplified by two prevailing post-Fordist growth models), but views institutional development as more politically contingent. Path dependency is central to the political economy of green transition but must be properly integrated with environmental dynamics.

Path dependent processes of self-reproduction allow powerful institutions, from fossil-fuel companies to state agencies, to reassert dominance and propagate environmentally damaging behaviours. Dominant institutions maintain growth’s hegemony despite destructive environmental consequences. Dryzek and Pickering (2018, p. 23) describe these processes as ‘pathological path dependency’ – disconnecting human institutions from Earth System dynamics by privileging economic imperatives over ecological awareness. Such processes do not reflect a benign logic of environmentally neutral and efficient capitalist development as envisaged by VOC. They are ecologically embedded and dangerously disrupt Earth System dynamics (Dryzek 2016, p. 937, Dryzek & Pickering 2018, p. 23). Recognising pathological path dependency disrupts the nature/society dualism by highlighting the ecological foundations of institutions. Pathological path dependency is a critical comparative variable with material and ideational determinants. The institutional embeddedness of the growth paradigm itself is a pathologically path dependent force and an object for comparative evaluation.8

As scholarship on ‘carbon lock-in’ demonstrates (Unruh 2000, Seto et al. 2016) dominant capitalist institutions, social practices, and technologies are embedded in and (re)productive of environmentally damaging logics. CPE can connect these insights to a holistic, critical, assessment of comparative capitalism. Pathologically path dependent institutions, firms, sectors and economic discourses, those that are most carbon-dependent and environmentally damaging, will face greater transformative pressures and more contested institutional trajectories. National capitalisms with stronger environmental political coalitions and lesser dependency on pathologically path dependent energy sources, sectors, and accumulation strategies will likely respond more quickly and effectively to Anthropocene challenges.

Hypothesis 2: The Anthropocene stretches spatio-temporal determinants of capitalist development

The Anthropocene transforms spatio-temporal parameters of capitalist development. Temporally, the Anthropocene stretches diachronic determinants of institutional change (Malm 2016, p. 26). Imperatives for institutional change are determined by responses to historically rooted Earth Systems shifts and an anticipatory approach grounded in longer-term assessments of future environmental trajectories. Once effects of global warming, natural resource depletion, and ecosystemic exhaustion impinge radically on the functioning of capitalist institutions it will be too late for ameliorative action (Jackson 2017, p. 16). Goals for institutional development are increasingly shaped by scientific consensus (exemplified by IPCC reports) grounded in a broader temporal framing than typical calculations of business leaders, investors, and politicians. Concretely, temporal elongation manifests as comparatively distinctive time-frames and strategies for decarbonisation and infrastructural transformation, exemplified by national plans for reaching ‘Net Zero’ carbon emissions.9 These tendencies will likely generate common but differentiated movements towards extensive future-oriented and state-directed developmental goals across national capitalisms.

Temporal reconfigurations are linked to variegated spatial dynamics. Anthropocene risks are shaped by global socio-ecological connections and multi-scalar relationships (Keys et al., p. 2019). Responding to these threats also has multi-scalar dimensions. Scholarship on technological transitions demonstrates the multiple levels of infrastructural and social change involved in decarbonisation (Geels 20022014). Politically, responses to Anthropocene risks are increasingly articulated through multiple, interdependent, governance scales evidenced by the emergence of ‘transnational climate change governance’ (Bulkeley et al. 2014). Globally, UN climate conferences increasingly shape national economic policies around green transition. At regional and national scales, discussions of Green New Deals emphasise supranational and state capacities in pursuit of decarbonisation and wider sustainability goals. These scales are also increasingly interwoven. A genuinely multi-scalar approach to CPE, rather than exclusive prioritisation of the national, is required to engage with the different levels of agency involved in the political economy of green transition.

Hypothesis 3: States (not firms) are the pivotal actors in the political economy of green transition

The emergence of VOC displaced the state’s centrality from CPE. GM scholarship has restored Keynesian convictions in effective state intervention (Baccaro & Pontusson 2016, p. 178). Both approaches understate state capacity as a comparative variable. Green transition relies heavily on the political power, coordinative capacity, and infrastructural reach of states (Johnstone & Newell 2018, p. 72–3).10 Although interactions among multiple actors are involved in green transition, from corporations to social movements and individual consumers, these actors will likely pivot around attempts to contest legal, regulatory, and fiscal conditions underpinned by sovereign state authority. The urgency, scale, and complexity of activity required to effectively decarbonise and reorient economies within the prescribed time-frames requires the authority and coordinating capacity of states. This is exemplified by different proposals for Green New Deals, all of which rely on the fiscal, monetary, and legal-regulatory capacities of states to enact rapid transition away from fossil-fuel intensive economic models. Globally, inter-state bargaining within climate negotiations increasingly establishes (aspirational) parameters for national economic development.

State capacity is a critical determinant of comparative pathways towards green transition. Pre-existing modalities of state intervention are likely to condition national responses to environmental challenges. For example, the tradition of ‘Treasury Control’ within the UK has thwarted green developmental initiatives and propagated the dominant financial accumulation regime (Craig 2020). States are also pivotal sites for the political contestation of environmental issues by distinctive social forces and to the embedding of environmental concerns within public, legal, and regulatory institutions. Historically distinctive models of state authority facilitate differential degrees and forms of engagement with environmental movements (Dryzek et al. 2003). Growth Models’ Gramscian-inspired rediscovery of links between economic models, political coalitions, and legitimation strategies opens paths towards a more politicised understanding of the state that recognises the importance of environmental politics.

Hypothesis 4: Sectoral compositions and characteristics shape modalities of environmental damage and condition trajectories of green transition

Sectoral characteristics of national capitalisms are critical to producing (and ameliorating) Anthropocene risks. In aggregate, national capitalisms have distinctive environmental impacts dependent upon their sectoral make-up and specialisation within the global division of labour. For example, export-oriented economies characterised by strong manufacturing sectors are likely to have different energy and resource requirements, as well as waste and emissions implications, than consumption-led and services dominated economies. Industrial economies tend to have higher raw materials usage and physical imports compared to the lower material footprints of service economies (EU 2016).

At the level of analytically modelling comparative economies, GM’s focus on the sectoral and geographical orientation (export-led vs consumption-led) of demand drivers should be integrated with comparative environmental indicators. Measurements more commonly employed by ecological economics, such as Domestic Materials Consumption and Total Resource Consumption, should be central to CPE. This would facilitate understanding of which sectors must be contracted, or usefully expanded, in pursuit of ecological stability. Sectors may have disproportionately large environmental impacts relative to their contribution to growth, making them more salient for comparative analysis.11 Encouraging ecological complementarities between sectors can promote environmentally beneficial development.

Some sectors matter more than others. The absence of energy considerations from the typologies developed by VOC and GM literature signifies CPE’s environmental neglect. Whether or not different national capitalisms are powered by coal, oil, nuclear or renewables is a crucial variable for understanding patterns of cross-national continuity and difference in the political economy of green transition. For example, Germany has committed to much less ambitious targets for coal phase-out than the UK, due to the greater power of coal unions and companies (along with supportive energy-intensive sectors benefiting from low energy prices), as well as greater employment in the coal sector (Brauers, Oei & Walk 2020). Petrostates and those dominated by the coal industry are particularly significant, producing disproportionate CO2 emissions relative to GDP.12 Recognising that economic size alone does not accord with the importance of a national economy for green transition deprivileges GDP’s ordering of national economies’ analytical importance.

Given the vast investment requirements of green transition and the power of finance, financial sector characteristics are critical. The reluctance of powerful asset managers to endorse environmental shareholder resolutions suggests that considerable political mobilisation is required to harness the commanding heights of finance for green transition (Buller & Braun 2021). Agricultural orientations are significant. Environmental harms and emissions produced by the ‘industrial grain-oilseed-livestock complex’ point to the significance of livestock farming and meat consumption in environmental degradation (Weis 2013, p. 66). In large meat producing countries such as Brazil and the US, curbing these sectors is critical. National strategies and timeframes for green transition will be shaped by the environmental modalities of leading sectors, the relative power of social forces that standing to lose/benefit from curbing environmentally damaging sectors, and the relationship between energy sectors and the wider economy.

Conclusion

The arrival of the Anthropocene profoundly unsettles the modern social sciences. Theories grounded in the nature/society dualism are unsuited to reckoning with proliferating environmental risks and destructive interdependencies between socio-economic institutions and Earth Systems dynamics. Across the social sciences, critical genealogies of incumbent paradigms and new interdisciplinary perspectives are required to equip scholars for our rapidly changing environmental context. CPE has both an important responsibility for engaging in this project and much to offer if it does. Given the causal complicity of fossil-fuel capitalism in the making of the Anthropocene, and the centrality of economic transformation to ameliorating its effects, those of us who take capitalism as our object of study have a special responsibility to engage these issues. In a more concretely institutional sense, scholars of CPE have much to offer as a framework for understanding, evaluating, and guiding comparative pathways of green transition.

In this article, I have begun a critical genealogy of CPE’s modern development with the intention of appraising and encouraging the field’s capacity to engage substantively with the challenge of green transition. Retracing the field’s historical development, I argued that CPE’s post-war emergence alongside the crystallisation of growth’s hegemony instilled scholarship with an assumption of the environmental neutrality of economic development and an uncritical disposition towards growth. Appraising the more recent emergence of VOC and Growth Models approaches, I examined CPE’s paradoxical narrowing around an uncritical orientation to growth maximisation despite mounting environmental threats and heightened awareness of the links between capitalism and climate. In the penultimate section, I developed provisional hypotheses intended to tentatively recalibrate CPE scholarship towards fuller engagement with environmental issues. These hypotheses need to be evaluated through comparative empirical assessments of diverse national plans and pathways towards green transition.

I have made the case that ‘climate issues’ are not simply another empirical domain to be incorporated into existing CPE approaches, but rather require reconsideration of our approach to studying comparative capitalisms. I finish by calling for CPE to rediscover the conjunctural sensitivity and responsiveness that is a hallmark of the field, rather than succumbing to forms of intellectual path dependency that limit its analytical horizons and practical applications. Recognising capitalism’s environmental embeddedness requires rethinking theoretical foundations and decentring CPE’s preoccupations with economic growth. What we might establish as a comparative analytical metric and normative goal in place of growth, or whether indeed we should seek a direct substitute for GDP’s role, remains an open question requiring further consideration by scholars of CPE.

Notes

1.

Karl Polanyi’s (1944) concept of embeddedness offers a promising ontological foundation for this effort.

2.

Earth Systems science understands the Earth as a holistic complex system that contains subsystems, such as the atmosphere and biosphere, that are ‘pervaded and connected by constant flows of matter and energy, in immense feedback loops’ (Bonneuil & Fressoz, 2016).

3.

Jonsson (2014, p. 2) also draws attention to a shadow history of economic thought that recognises ecological ‘limits’.

4.

A recent ‘state of the art’ CPE contribution to the journal Socio-Economic Review makes only one, footnoted, reference to climate or environmental issues in its synopsis of ‘New approaches to political economy’ (Amable et al, 2019).

5.

Green growth perspectives range from Green Keynesian emphases on green investment’s employment-enhancing potential to Schumpeterian convictions in a new clean energy revolution (Jacobs, 2012, Meckling & Allan, 2020).

6.

Much like VOC, though, there is still a functionalist sense that Growth Models call forth their own self-reproduction (Clift & McDaniel, 2021, p. 6).

7.

Path dependency refers to the declining reversibility of institutional trajectories over time. It is driven by ‘positive feedback’ – the self-reinforcing nature of specific institutional arrangements (Pierson, 2004, p. 18).

8.

Contributions of ideational or discursive political economy, identifying how goals and policy framings for comparative economic development are socially constructed, are particularly salient here (Clift, 2014, Hay, 2016, Schmidt, 2008).

9.

Linear notions of temporal development are also likely to be disrupted by the triggering of potential ‘tipping points’ prompting disruptive step changes in Earth Systems dynamics (Spratt & Dunlop, 2018, Steffen et al., 2018, Keys et al., 2019).

10.

The state’s importance to green transition has been recognised within long-standing debates over the characteristics of the ‘green state’ and the ‘environmental state’ (Paterson, 2016).

11.

Food and drink, for example, have large environmental impacts across the value chain (European Commission, 2019, p. 5).

12.

Saudi Arabia, Iran, Indonesia, and Russia all feature in the top ten carbon emitting countries due to their large oil, gas, and coal industries, despite not figuring in the ten largest economies in the world (climatetrade.com).

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Prospective technology assessment in the Anthropocene: A transition toward a culture of sustainability

Martin Möller and Rainer Grießhammer

https://doi.org/10.1177/20530196221095700

Abstract

In the Anthropocene, humankind has become a quasi-geological force. Both the rapid development as well as the depth of intervention of new technologies result in far-reaching and irreversible anthropogenic changes in the Earth’s natural system. However, early and development-accompanying evaluation of technologies are not yet common sense. Against this background, this review article aims to compile the current state of knowledge with regard to the early sustainability assessment of technologies and to classify this status quo with respect to the key challenges of the Anthropocene. To that end, the paper initially outlines major existing definitions and framings of the term of sustainability. Key milestones, concepts and instruments with regard to the development of sustainability assessment and technology assessment (TA) methodologies are also presented. Based on this overview, the energy sector is used as an example to discuss how mirroring ongoing transformation processes can contribute to the further development of the TA framework in order to ensure an agile, goal-oriented, and future-proof assessment system.

Introduction

For the first time in history, human development is characterized by a coupling of technological, social and geological processes. In this new geological epoch of the Anthropocene (Crutzen and Stoermer, 2000), humankind has become a quasi-geological force that profoundly and irreversibly alters the functioning of the Earth’s natural system (Potsdam Memorandum, 2007).

The main reasons for this extraordinarily high range of human activity are the exponential increase in the world’s population, production and consumption, as well as an increasing acceleration of industrial processes. New technologies are being developed that enable a particular high sectoral depth of intervention as well as a fast marketing of products and applications. As a result, they impose significant pressure on a wide range of sectors to change and adapt to the speed of innovation. Ultimately, society as a whole is urged to react to the impacts generated by the new technologies. A prominent example of a technology with such a high level of intervention is additive manufacturing. Also known as 3D printing, additive manufacturing is seen as a key technology for digitalization due to their production flexibility, the possibilities for function integration and product individualization. Beyond acceleration of innovation times, however, their use also allows for a reduction in component weight and thus a reduction in operating costs, which can promote resource-efficient manufacturing (Bierdel et al., 2019). However, additive manufacturing can create new consumption incentives due to faster product cycles and poses risks to new producers by shifting work and related hazardous substance risks to residential environments (Umweltbundesamt, 2018).

Both the rapid development as well as the depth of intervention of new technologies and materials result in anthropogenic changes in Earth system processes that can otherwise only be caused by meteorite impacts, continental drift and cyclical fluctuations in the Sun-Earth constellation. For example, the effects on the Earth’s nitrogen cycle are particularly serious. Through the ability to synthesize artificial nitrogen compounds by means of the Haber Bosch process, humans have managed to feed 48% of the global population. With increases in fertilizer usage, however, the nitrogen cycle has been pushed far beyond sustainability and nitrate pollution being responsible for increasing dead zones in coastal areas. Furthermore, due to the use of fossil fuels and intensive agriculture, CO2 concentrations in the atmosphere have reached a level last approached about 3 to 5 million years ago, a period when global average surface temperature is estimated to have been about 2°C–3.5°C higher than in the pre-industrial period (NAS and Royal Society, 2020).

The harmful effects of the technologies on the biosphere are fueled by the fact that technological developments are usually faster than political and technical countermeasures. Moreover, in many cases, technical countermeasures still focus on efficiency improvement strategies, less hazardous substitutions of substances as well as end-of-pipe cleaning technologies. While this approach has yielded some success in the past, it also entails the risk of rebound effects.

Against this background, there is an increasing need for comprehensive approaches to analysis and solutions. Hence, the following key questions arise how to deal with the challenges regarding the prospective assessment of technologies in the era of the Anthropocene:

Firstly, which applications of technologies are beneficial with respect to a sustainable development, and which ones we should rather abandon?

Secondly, which methodological approach can be used to assess and influence the development of new technologies right from the beginning and with sufficient certainty of direction?

Thirdly, who is responsible and competent to perform the evaluation on the sustainability performance of technologies and to make corresponding decisions concerning their future roadmap?

Ultimately, how can we transform technosphere and society to a culture of sustainability, in other words: “Can humanity adapt to itself?” (Toussaint et al., 2012)

In order to elaborate viable answers to these fundamental questions, this paper aims to review existing definitions of sustainability as well as approaches of sustainability assessment of technologies and associated tools within the era of the Anthropocene. Hence, it first addresses the issue of framing the term of sustainability in the era of the Anthropocene (section 2). Based on a brief overview in section 3 how sustainability assessment methodologies evolved in the past, major milestones and concepts with regard to the technology assessment (TA) framework are described in section 4, with particular focus on the concept of prospective TA. In section 5, we use the energy sector as an example to discuss how mirroring ongoing transformation processes in major areas of need can contribute to the further development of the TA framework. Finally, section 6 is dedicated to conclusions and outlook.

Sustainability in the Anthropocene

Sustainability is a delicate term. Its inflationary use in politics, science and society has rendered it increasingly arbitrary and often blurs the view of its core meaning. Sustainability as a concept was introduced more than 300 years ago by chief miner Hans-Carl von Carlowitz on the occasion of a serious raw material crisis: Wood, at that time the most important raw material for ore mining, had become noticeably scarce and without appropriate countermeasures, the operation of smelting furnaces and consequently silver production would not have been further possible within a foreseeable future. Driven by these economic requirements, von Carlowitz proposed a new principle of forest management, which envisaged taking only as much wood from the forests in a given period of time as could grow back again in the same period (Töpfer, 2013von Carlowitz, 1713).

In the discussions about the scarcity of natural resources in the 1970s (cf. Meadows et al., 1972), the concept of sustainability was taken up again and experienced a renaissance through its further development in terms of content. Environmental and social aspects of sustainability have been placed more and more in the foreground. Hence, sustainability has increasingly been understood as a major global transformation process (Grießhammer and Brohmann, 2015; see also section 5), which is reflected in particular in the term of a “sustainable development.” Another milestone in the framing of sustainability as a concept with normative relevance has been achieved in the World Commission on Environment and Development. In its report, the so-called “Brundtland Report,” the commission defines sustainable development as “development that meets the needs of the present without compromising the ability of future generations to meet their own needs” (World Commission on Environment and Development, 1987: without page). With this definition, the aspects of intra– and intergenerational equity were introduced and particularly emphasized in the sustainability debate. Furthermore, the “Brundtland Report” frames sustainable development as a necessary transformation process of economy and society as it points out that:

“Sustainable development is not a fixed state of harmony, but rather a process of change in which the exploitation of resources, the direction of investments, the orientation of technological development, and institutional change are made consistent with future as well as present needs” (World Commission on Environment and Development, 1987: without page).

Since the 1990s, the debate on how intergenerational justice is to be achieved has been dominated by two diverging perceptions of the concept of sustainability, referred to as “strong sustainability” and “weak sustainability”:

Strong sustainability postulates to preserve the entire natural capital of the Earth. Human capital and natural capital are perceived to be complementary, but not interchangeable. This means that humans, as users of nature, may live only from the “interest” of the natural capital. Any consumption of non-renewable resources would therefore be ruled out, and renewable resources could only be used within their regeneration rate (Som et al., 2009).

Weak sustainability calls only for preserving of the Earth’s total anthropogenic and natural capital. Accordingly, humanity could reduce natural capital to any degree if it was substituted in return by anthropogenic capital with the same economic value (Solow, 1986).

At the UN Conference on Environment and Development at Rio de Janeiro in 1992, the concept of sustainable development was recognized as an internationally guiding principle. The underlying idea was that economic efficiency, social justice and the safeguarding of the natural basis of life are interests that are equally important for survival and complement each other. Although 27 fundamental principles for sustainable development are enshrined in the Rio Declaration on Environment and Development (United Nations, 1992), for more than 10 years no concrete sustainability goals and indicators existed that would have been suitable in particular for the sustainability assessment of products and technologies.

With the adoption of the 2030 Agenda and its Sustainable Development Goals (SDGs) in 2015, the member states of the United Nations for the first time agreed upon a universal catalog of fixed time-specific targets. These 17 SDGs (see Figure 1) and the corresponding 169 targets can be considered as the interdisciplinary normative basis of sustainability research, covering all three dimensions of sustainable development, that is, environmental, economic, and social aspects (United Nations, 2015).

Figure 1. The 17 Sustainable Development Goals of the 2030 Agenda.Source: UNDP (2016).

The 2030 Agenda is universal in scope, which means that it commits all countries to contribute toward a comprehensive effort for global sustainability in all its dimensions while ensuring equity, peace and security. Furthermore, with its central, transformative promise “leave no one behind,” it is based on the principle to take on board even the weakest and most vulnerable. Hence, it seeks to eradicate poverty in all its forms as well as to combat discrimination and rising inequalities within and amongst countries (BMUV, 2022SDGF, 2016United Nations, 2021).

As a major specification of the 2030 Agenda, the concept of Planetary Boundaries focusses on the environmental dimension of sustainability. This approach put forward by Rockström et al. (2009) echoes the concept of “strong sustainability” (see above) and has been updated and extended by Steffen et al. (2015). At its core, it identifies nine global biophysical processes, whose significant changes can lead to conditions on Earth that are no longer considered a “safe operating space for humanity.” According to Steffen et al. (2015), several of the global biophysical processes are already beyond an uncertainty range with a high risk of dangerous changes on the planetary scale. These include the integrity of the biosphere (expressed as genetic diversity) and biogeochemical material flows, especially nitrogen and phosphorus. Others (e.g. climate change and land use change) are considered to be in an area of high uncertainty with an increasing risk of dangerous changes.

In 2016, Rockström and Sukhdev presented a new way of framing the SDGs of the 2030 Agenda. According to the concept of “strong sustainability” they argued that economies and societies should be perceived as embedded parts of the biosphere (Stockholm Resilience Center, 2016). This perspective is illustrated by the so-called “Wedding Cake” model (see Figure 2) and challenges the predominant understanding expressed by the “Three Pillars” model of sustainability (cf. Barbier, 1987) that environmental, economic and social development can be regarded as separate parts. Hence, the “Wedding Cake” model of sustainability can be understood as a combination of the 2030 Agenda and the concept of Planetary Boundaries since it calls for a transition toward a world logic where the economy serves society so that both economy and society can evolve within the “safe operating space” of the planet.

Figure 2. The “Wedding Cake” model of sustainability.Source: Azote for Stockholm Resilience Centre, Stockholm University.

The link between SDGs and Planetary Boundaries is of paramount importance in the age of the Anthropocene. Even though the SDGs have been lauded for amplifying the global development agenda by including environmental, social and economic concerns, the 2030 Agenda remains committed to a growth-oriented development that potentially conflicts with keeping human development within the Planetary Boundaries as defined by Rockström et al. (2009). A striking example of the growth-oriented concept can be found in SDG target 8.1, which requires to “sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7% gross domestic product growth per annum in the least developed countries” (United Nations, 2015). Against this background, substantial changes toward more sufficient consumption patterns that help to remain within the Earth’s environmental carrying capacity need to be established and promoted by setting corresponding political framework conditions (Fischer and Grießhammer, 2013).

Evolvement of sustainability assessment methodologies

The scientific methodology for assessing the sustainability of technologies, material or products is far less developed than the debate on sustainable development and sustainable consumption would suggest. However, initial approaches in this respect were developed by the Öko-Institut as early as 1987 (Öko-Institut, 1987). The concept of the Produktlinienanalyse (English “product line analysis”), representing a pioneering step in the development of methods for life cycle-based analyses, made it possible to record the environmental, economic, and social impacts of products along the whole product line.

Nevertheless, at the end of the 1990ies, the product-related Life Cycle Analysis (LCA) became established and standardized on the international level, representing a methodology which assesses only the environmental impacts of a product over its entire life-cycle. The decisive standards of LCA are ISO 14040 (2006) and ISO 14044 (2006), which have become widely applied. These international standards essentially describe the process of conducting LCAs, examining the impact of a product from “cradle to grave.” Particular attention is paid in ISO 14040 and ISO 14044 to the scoping of a LCA study, with concrete requirements on the choice of the system boundaries, the functional unit (i.e. the quantified performance of the investigated product system for use as a reference unit) and the data quality requirements. In addition, the performance of a critical review by an independent third party is envisaged as a quality assurance step.

Sustainability assessments, however, did not advance until the 2000s, with the detailed method descriptions PROSA (Product Sustainability Assessment) by the Öko-Institut (Grießhammer et al., 2007) and SEE-Balance (Socio-Eco-Efficiency Analysis) by the chemical company BASF (Kicherer, 2005Saling, 2016). Even for the sub-methods of Life Cycle Costing (Swarr et al., 2011) and Social Life Cycle Assessment (Grießhammer et al., 2006UNEP-SETAC Life Cycle Initiative, 2009), method descriptions were presented comparatively late. There are also proposals to combine the three sub-methods of Life Cycle Assessment, Life Cycle Costing and Social Life Cycle Assessment to form the Life Cycle Sustainability Assessment (LCSA) (Feifel et al., 2010Finkbeiner, 2011). However, in contrast to PROSA, the aim is not to analyze and evaluate needs and the realized product benefits, even though meeting basic needs through products is one of the central demands of Agenda 21. Whereas initially the sustainability of only relatively simple products such as food, textiles, or detergents had been assessed, in recent years the sustainability performance of complex products such as notebooks (Manhart and Grießhammer, 2006) and telecommunications services (Prakash et al., 2016) as well as emerging technologies and materials (Möller et al., 2012) has also been analyzed.

For many years, the comparatively open or specific selection of indicators for conducting sustainability assessment case studies was justified by the lack of a relevant normative framework as well as a generally accepted set of indicators. With the adoption of the United Nations’ 2030 Agenda in 2015, this has fundamentally changed (cf. section 2). In addition to its 17 SDGs and 169 targets, the 2030 Agenda provides a globally accepted system of indicators for measuring the SDGs. However, only a few dozen of the 169 targets explicitly refer to products and companies. In a recently completed research project (Eberle et al., 2021) funded by the German Federal Ministry on Education and Research a method was developed which provided for a reasoned restriction to those indicators to the achievement of which products, services and companies can actually contribute. By means of the method, it is possible for the first time to measure the contribution to the achievement of the SDGs at the level of products and services and thus to establish a link between LCA and SLCA results and the 2030 Agenda (Eberle and Wenzig, 2020). To complete the assessment, an in-depth analysis of societal benefits according to Möller et al. (2021a) can be supplemented, which is also based on the 2030 Agenda. In this way, additional benefit aspects of the products and services considered beyond their core benefits can be identified with a view to the SDGs.

As our experience from practice has shown, for the sustainability assessment of any object of investigation, the respective functionality is of utmost importance and must therefore be considered and defined in detail. In this context, a careful definition of the functional unit as defined in ISO 14040 and ISO 14044 is considered to be essential. In addition, a detailed analysis of the various benefit aspects of the studied object is recommended. Against this background, there is no technology, material or product that is sustainable per se. Only the way a technology, material or product is handled and used over its whole life-cycle may be more or less sustainable. Therefore, their sustainability performance always has to be analyzed and evaluated in the context of the intended application and with regard to a possible contribution to a sustainable development. Absolute statements such as “sustainable plastics,” often combined with the addition “due to recyclability,” must therefore be rated very critically. Recyclability, which is often regarded as synonymous with sustainability in the marketing of materials, depends on available recycling infrastructure, which typically only exists in the materials sector where it is economically viable.

Another important lesson learned from several decades of sustainability assessment is that assessment systems have changed and evolved significantly in the past. As sustainability assessment has been driven by emerging environmental risks, further developments in the normative framework and societal developments, the assessment methodology had to evolve as well. Notable examples of additions to the assessment methodology with respect to the environmental dimension of sustainability are the issues of greenhouse effect and ozone depletion in the 1980s and the microplastic problem in the recent past. It can be assumed that the aforementioned drivers will continue to influence sustainability assessment in the future. For a future-proof sustainability assessment methodology, it is therefore essential that newly emerging risks can be identified at an early stage. This calls for a flexible and adaptive assessment framework as well as an interdisciplinary exchange, especially between natural and social sciences (Möller et al., 2021b).

Evolvement of technology assessment

Roughly in the second half of the 20th century, undesirable side effects of progress in science and technology increasingly manifested themselves in the form of risks and concrete damaging events and thus found their way into the collective consciousness of society. The almost ubiquitous emergence of persistent pollutants like the pesticide DDT (Dichlorodiphenyltrichloroethane) in the environment and the risks of nuclear power can be regarded as particularly controversial examples in this respect (Carson, 1962Grunwald, 2019). Accordingly, the appearance of these phenomena is considered to mark the beginning of the Anthropocene era. As a result, a consensus previously largely in place, which equated scientific and technological progress with social progress, was increasingly questioned. Against this background, researchers were more and more confronted with the challenge of reflecting not only on the possible consequences of science-based technologies, but also on the epistemological foundations of their own actions (Kollek and Döring, 2012).

Consequently, the concept of TA became established in the 1960s, particularly in the United States, with early studies focusing on the issue of environmental pollution, but also issues like the supersonic transport, and ethics of genetic screening (Banta, 2009). One of the basic motivations of TA is to deal with possible short- and long-term consequences of scientific and technological progress (e.g. societal, economic, ethical, and legal impacts) as early and comprehensively as possible, in order to enable formative interventions (Grunwald, 20102019). The ultimate goal of early TA studies was to provide policy makers as primary target group with information on policy alternatives (Banta, 2009).

One of the key challenges for TA relates to the question of how to respond to emerging technologies, that is novel technologies that are still at an early stage of their development. Especially in the case of basic research-oriented R&D work, the new developments are characterized by low technology readiness levels (cf. Mankins, 1995), that is the R&D results are still relatively far away from entering the market in the form of tangible products. The relatively low maturity of the technologies results in a very limited availability of quantitative data on subsequent product specifications and potential environmental impacts. On the other hand, addressing sustainability aspects at such an early stage in the innovation process basically offers an excellent window of opportunity to avoid possible weaknesses with regard to sustainable development and to identify existing strengths. This situation is often referred as the Collingridge Dilemma (Collingridge, 1980): In the infancy of an emerging technology, the potential to influence its properties is particularly high, but the knowledge about its sustainability impacts is comparatively low. Later on, the understanding on the consequences of an emerging technology is expected to increase, yet the possibilities for shaping its design may already be significantly reduced by already existing path dependencies (see Figure 3).

Figure 3. Dependencies between the maturity of a technology, the knowledge about environmental, health safety and social (EHS/S) impacts as well as the ability to prevent corresponding risks.Source: Köhler and Som (2014).

Against this background, an ideal period for the assessment and eco-design of emerging technologies would be during the innovation stages of “applied technology development” or “product design.” In these stages, the ability to prevent sustainability risks is still relatively high (cf. curve with solid line in Figure 3) and, at the same time, the quantity and quality of data required for a sustainability assessment are increasing significantly. However, a sustainability assessment in the stage of “basic science and material research” is well before this ideal period.

Basically, the dilemma outlined by Collingridge presupposes a fundamental separation between cognition and action as well as between science and technology. With the emergence of the concept of “technosciences,” however, this hypothesis has been increasingly challenged since about the mid-1980s by postulating a constitutive relationship between science and technology (Haraway, 1997Hottois, 1984Latour, 1987). Hence, the characteristic feature of technosciences is a far-reaching convergence of science and technology on all levels of action and effect, of materiality and culture (Kastenhofer, 2010).

The concept of technosciences has been adopted by anthropologists, philosophers and sociologists in science and technology studies as well as in the field of philosophy of science (e.g. Hacking, 1983Nordmann, 2006Pickering, 1992). Other TA concepts attach less emphasis to the intertwining of science, technology and society, but rather aim to start TA as early as possible. These include the “constructive Technology Assessment” developed by Schot and Rip (1997), which does not focus primarily on the possible consequences of a technology but aims to assist in shaping its design, development and implementation process. In this context, it was also proposed that a “real-time assessment” should accompany technology development from the outset and integrate social science issues as well as policy and governance aspects at a very early stage (Guston and Sarewitz, 2002).

Nevertheless, the concept of technosciences generated important impulses to scrutinize and reconsider some of the central assumptions underlying many existing TA concepts. In this context, Liebert and Schmidt (2010) point out that the goals and purposes of innovation processes, which are often clearly articulated and recognizable in the context of technosciences, offer the possibility of unlocking knowledge about the respective technology development. Hence, they challenge the assumption of general knowledge deficits as stipulated by the Collingridge Dilemma. Furthermore, they argue that technosciences are usually developed and applied by many different actors. In this respect, the fiction of a control of technology (especially by political actors) as advocated in early TA concepts will increasingly shift to a paradigm of collaborative design.

Consequently, TA should be framed as a “Prospective Technology Assessment” (ProTA) and initiate phases of science- and technology-related reflection as early as possible:

“ProTA aims to shape technologies by shaping the goals, intentions and attitudes from the perspective of the anticipated consequences and realistic potentials” (Liebert and Schmidt, 2010: 114).

According to Liebert and Schmidt (2010), ProTA requires a normative framework that can be derived from the history of philosophical reflection. Concerning the underlying ethical criteria, two antagonistic principles are outlined: The “heuristics of fear” (Jonas, 1979) and the “principle of hope” (Bloch, 1959), which in combination serve as a mindset for shaping emerging technologies as well as technoscience as a whole and that entails four different types of orientation: human, social, environmental as well as future orientation.

Furthermore, ProTA is also strongly perceived as a participatory approach. In contrast to an observation from an external perspective (as practiced in earlier TA concepts), ProTA should become part of a of self-reflection and self-criticism among scientists and engineers within the R&D stage itself that also includes the perspective of societal and political actors (Fisher et al., 2006Liebert and Schmidt, 2010).

Discussion

As the evolutionary history of TA has shown, an early assessment of technologies and their impacts on environment and society is possible in principle. Despite of the epistemic limitations caused by the Collingridge Dilemma, the concept of ProTA provides a participatory and incremental self-reflection process that facilitates data acquisition even during the early stages of R&D and thus enables the shaping of technologies throughout the innovation process. One of the most important features of ProTA is a well-defined normative framework. Yet Liebert and Schmidt developed the associated criteria several years before the establishment of the 2030 Agenda. With its 17 SDGs and the 169 SDG targets, however, substantial opportunities have been created to concretize the normative framework of TA, especially with respect to a sustainable development. Hence, by referencing to the 2030 Agenda, a comprehensive sustainability assessment of technologies has become possible (Eberle et al., 2021Möller et al., 2021a). Even more than that, with the 2030 Agenda representing a globally accepted framework that all United Nation member states have committed themselves, sustainability assessment of technologies has become an obligation.

In order to ensure goal-oriented and future-proof assessments, TA methodology needs to be able to recognize changes regarding its assessment criteria at an early stage, as already pointed out in section 3. For early detection, the investigation of existing and predicted transformation processes plays an important role in this context.

Transformations can lead to structural paradigmatic changes at all levels of society, for example in culture, value attitudes, technologies, production, consumption, infrastructures and politics. The corresponding processes take place co-evolutionarily, simultaneously or with a time lag in different areas or sectors, and can significantly influence, strengthen or weaken each other. The decisive factor for a transformation is that those processes become more and more condensed over time and, in the sense of a paradigm shift, lead to fundamental irreversible changes in the prevailing system. Transformations can be unplanned or intentional, they can take several decades and proceed at very different speeds (Grießhammer and Brohmann, 2015).

In contrast to the non-targeted transformations of the past (such as the first and second industrial revolution), it is now presumed that intentional transformations (e.g. the “Energiewende,” i.e. the transition of the energy system in Germany) can be significantly influenced and accelerated in a desired direction, but nevertheless not controlled in detail. This assumption is based on the recently available knowledge and experience of complex control, governance and strategy approaches (Grießhammer and Brohmann, 2015). The fundamental possibility of influencing or even controlling transitions is expressed by the term “transition management” (Kemp and Loorbach, 2006).

For understanding transition management, a multi-level perspective is fundamental. Accordingly, three different levels exist in each system under consideration, referred to as niches, regime, and landscape, with interactions between these levels (see Figure 4).

Figure 4. Multi-level perspective of transition management (Grießhammer and Brohmann, 2015; modified based on Geels, 2002).

At the level of the prevailing regime, Grießhammer and Brohmann (2015) distinguish eight fields of action or sub-systems of society in which transformative innovations and initiatives can influence each other or proceed in a co-evolutionary manner. These eight fields of action are defined as follows:

Values and models: normative orientations such as values, socially or legally formulated goals, guiding principles or ideas for society as a whole or for individual areas of need (e.g. “Limits to Growth” according to Meadows et al., 1972);

Behaviors and lifestyles: individual and society-wide shared (consumption) actions, everyday practices and habits, which can often deviate significantly from values and consciousness (e.g. dietary habits);

Social and temporal structures: social and culturally determining structures (such as different gender roles or demographic shifts) as well as temporal factors (such as the duration of the transformation, windows of opportunities or diffusion processes of innovations);

Physical infrastructures: permanent material structures that influence or even dominate the action spaces for groups of actors (e.g. road network);

Markets and financial systems: market structures (e.g. degree of concentration, globalization) and market processes such as supply, demand and prices of goods and services;

Technologies, products, and services: individual products and services as well as overarching technologies that can act as a key driver of transformations;

Research, education, and knowledge: science, research and development in practice as well as their institutional constitution, appropriate educational measures at various levels as well as knowledge stocks required for transformations;

Policies and institutions: control instruments such as commandments and prohibitions, financial incentives or informational instruments, as well as the associated institutional and organizational framework (e.g. state bodies, competencies, separation of powers, course of the democratic process and legal framework).

The analysis of the determining factors of a transformation process and their possible impact on the method of sustainability assessment of technologies shall be exemplified by the transformation in the energy sector representing an area of need where general principles for the sustainability assessment of technologies have already been formulated (cf. Grunwald and Rösch, 2011). The following table summarizes the findings from this exercise and provides an overview of the determining factors for the fields of action in the energy sector. In this respect, it has to be noted that the scope of the investigation refers to the specific situation in Germany.

Many of the identified determining factors for the fields of action are transformation processes themselves. Digitalization, for example, is coupling the energy transition with the ongoing industrial revolution in information and communication technologies. Furthermore, the transition of the energy sector influences the energy supply for the transport system as well as for the building stock, and vice versa. The parallel transformations can influence, support, or hinder each other. For example, electromobility generates a higher demand for renewable electricity; on the other hand, the batteries installed in cars provide a storage option for electricity. In this context, it is also important to consider the various and partly rivaling innovations emerging from niches (cf. Figure 4). These include e-cars, for example, but also fuel cell cars and e-bikes as a fundamental alternative. The same is applicable for phenomena at the level of the greater landscape: The efforts of an increasing number of companies to achieve climate neutrality play an eminently important role here, as the demand for renewably generated energy will continue to grow significantly. However, the current consequences and long-term effects of the Corona pandemic could lead to significant energy savings through a reduction in air travel, at least in the short to medium term.

The concept of ProTA is currently implemented in the Cluster of Excellence “Living, Adaptive and Energy-autonomous Materials Systems” (livMatS) funded by the German Research Foundation. The vision of this cluster is to develop novel, bioinspired materials systems, which adapt autonomously to their environment and harvest clean energy from it. The research and development work in livMatS aims to provide innovative solutions for various applications, particularly in the field of energy technologies. Sustainability, psychological acceptance and ethical approval form essential claims of the work done in livMatS. Therefore, prospective reflection of the sustainability aspects as well as research into consumer acceptance and social relevance of the developed material systems form an integral part of livMatS work right from the very beginning (livMatS, 2022).

The prospective TA of the technologies and materials to be developed in the livMatS cluster is designed as a tiered approach called TAPAS (Tiered Approach for Prospective Assessment of Benefits and Challenges). The ultimate goal is the design of a new development-integrated sustainability assessment framework that starts with interactive early tools on a qualitative basis (e.g. questionnaires and prospective chemicals assessment) and also covers quantitative case studies. Development-integrated assessment entails that the methodology both encourages and enables the innovators themselves to carry out assessments on sustainability, ethics and consumer issues as part of the innovation process (Möller et al., 2021c).

With regard to the livMatS materials, the ongoing transformation in the energy sector has considerable influence on the potential application fields: In their efforts to become climate-neutral, companies will make much greater efforts to harness previously unused (waste) energy. Energy harvesting in industrial processes as well as in the mobility sector and in buildings will consequently gain considerably in importance and may become common practice. For example, due to progress in digitalization, there will be more and more sensors at peripheral locations requiring power supply. Moreover, prosumers may also find it attractive in the future to feed harvested energy of their own solar systems into the grid, especially at times of high energy prices.

For the methodology of the prospective sustainability assessment, however, no fundamentally new issues can be identified on the basis of the available findings, which could not be captured by the existing toolbox. This can be justified with a closer look to the relevant technological approaches (digitalization, hydrogen technology, energy harvesting) presented in Table 1, as their respective designs do not reveal any radically new materials and process configurations. This assessment, however, needs to be subject to continuous review as the new material systems mature. Furthermore, it should be noted that for sustainability assessments in living labs and citizen science projects, instruments are required that provide meaningful and consistent results even when used by laypersons. In this context, a tiered approach as described in section 4 is also expected to be beneficial.Table 1. Determining factors for the fields of action in the energy sector.

Fields of actionDetermining factors in the energy sector in Germany
Values and models“Energiewende” (English: “energy transition”) mission statement with a focus on renewable energies (Krause et al., 1980)
Rejection of nuclear energy by a vast majority of the German population (Statista, 2021)
Fridays for Future activities and demonstrations push debate about climate change and renewable energy back to the forefront of the political agenda (Marquardt, 2020)
Behaviors and lifestylesProsumer movement leads to a constantly increasing number of consumers who simultaneously consume electricity and supply it to the grid, for example via an own photovoltaic system (Agora Energiewende, 2017BMWi, 2016)
Social and temporal structuresFukushima nuclear disaster in 2011 as a major window of opportunity for the nuclear phase-out (Bernardi et al., 2018)
Increase in the share of smaller households with a specifically higher electricity demand (Umweltbundesamt, 2020)
Flexible and time-dependent pricing structures (e.g. variable electricity prices) and process conversions in industry and commerce (operating energy-intensive processes during the day instead of previously at night) foster load management (Agora Energiewende, 2017)
Physical infrastructuresDigitalization enables the networking of electricity generators and consumers, for example, through smart meter gateways, that is, intelligent metering systems consisting of a communication unit and a digital electricity meter (Agora Energiewende, 2017BMWi, 20162017)
Coupling of the electricity sector with the building, mobility and various industrial sectors, turning (renewably generated) electricity into the most important energy source (Agora Energiewende, 2017BMWi, 2017)
Markets and financial systemsDecentralization of power generation (formerly a few large fossil-based power plants to currently several million small and large renewable energy plants) creates new market players and enables new business models (Agora Energiewende, 2017)
Strong cost degression in electricity generation from renewable sources (e.g. by 90% regarding photovoltaics) enables an energy system based on solar and wind power (Agora Energiewende, 2017)
Technologies, products and servicesNew energy storage systems (especially “green” hydrogen technology) for intermediate storage of electricity from renewable sources (Matthes et al., 2020)
Efficiency increase in the use of electricity both at industrial plants and in household appliances (Agora Energiewende, 2017)
Energy harvesting technologies enable the use of previously dissipated photonic energy, thermal energy or kinetic energy (Fraunhofer, 2018)
Research, education and knowledgeLiving labs and citizen science projects explore sustainable energy technologies (e.g. hydrogen technology) under real conditions and on an industrial scale (BMWi, 2020)
Policies and institutionsLiberalization of the electricity market since the 1990ies enables a flexible and efficient response to volatile power generation from renewable energy sources (DENA, 2021)
 Substantial financial incentives for renewable energy generation through the Renewable Energy Sources Act since 2000 (EEG, 2021)
 Nuclear phase-out (by 2022) and coal phase-out (by 2038), that is political decision by the German federal government to stop operating nuclear power plants (Bundesregierung, 20112021)

Source: Own compilation.

Conclusions and outlook

In light of the findings and the results of the previous sections, the four fundamental questions from the introduction will be revisited and answered as far as possible.

With regard to the first question, it could be demonstrated that universal and absolute statements on the sustainability of technologies are just as misleading as they are for materials or products. Possible contributions to a sustainable development can only be discovered in a case-by-case analysis of the entire product-line and in the context of the functionality and benefits of the object under investigation.

Secondly, an early and prospective assessment of sustainability of technologies requires a flexible and tiered approach. In this respect, we reference the TAPAS framework that aims to establish a new tiered development-integrated assessment methodology within the livMatS Cluster of Excellence. To enable assessments at an early stage and with sufficient certainty of direction, TAPAS starts with interactive early tools (e.g. questionnaires and prospective chemicals assessment) which are incrementally underpinned with quantitative case studies in an iterative process. In order to ensure an agile, goal-oriented and future-proof evaluation system, TAPAS also includes a careful reflection of ongoing transformation processes in application sectors (e.g. the energy sector) that are relevant to the technology. The prospective mirroring of the determinants of transformation processes of related areas of need as described in section 5 aims to provide a further feature for the continuous refinement of the TA framework, especially with regard to ProTA.

As of third, the assessment of the sustainability performance of technologies should include much greater involvement of those actors who are particularly good at overseeing and influencing the innovation process—the innovators themselves. To ensure sufficient feedback with society, science has to open up to the public and the participation of society in the sense of transdisciplinary research. In this respect, initial assessments of the technology developers need to be discussed in real laboratories, that is, open-innovation environments that focus on cooperation between science and the public in an experimental environment. Hence, suggestions from society should in return become part of the innovation process (Möller et al., 2021b).

Ultimately, in order to give humankind a chance to adapt to itself (Toussaint et al., 2012), technology and society need to co-evolve. Global agreements on normative goals such as the Sustainable Development Goals of the 2030 Agenda form a good starting point in this respect. For a culture of sustainability, however, policy should promote cooperation between actors for societally desirable transformation processes to a much greater extent. Equally important is a “greening” of ongoing transformations that are not induced by environmental policy (Grießhammer and Brohmann, 2015). The need to foster cooperation can be illustrated by the example of the energy transition: Driving forces for the “Energiewende” can already be found in all stakeholder groups, that is in civil society and governmental actors, but also in science and companies. Unfortunately, however, these players in many cases still act independently of each other. Instead, earlier and greater involvement of business and industry in ongoing transformation processes, support for new business models, and greater international cooperation would be needed.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2193/1 – 390951807.

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Spatiotemporality in the Anthropocene: Deleuzoguattarian Philosophy, Quantum Physics, and the German Netflix Series Dark

In: KronoScope

Hedwig Fraunhofer

Abstract

Crises alter our perception of time. For medical personnel faced with treating unprecedented numbers of critically ill patients under conditions of personal threat, COVID-19 has most recently accelerated the subjective perception of time. For millions of others, social isolation has decelerated our lives. For all of us, at least in the short term, the future has become more uncertain. Theoretical physicists tell us, however, that under any conditions, the human perception of the flowing of time is only a result of our blurred, limited, macroscopic vision. As the quantum physicist Carlo Rovelli writes, therefore, “[t]o understand ourselves is to reflect on time” (2018: 179). Potentially caused by humans’ failed interactions with wild animals, the contemporary global pandemic, as well as previous outbreaks such as SARS (Severe Acute Respiratory Syndrome-related coronavirus) or the bird flu, has led to calls to reevaluate humans’ relationships with nonhuman life, with the natural environment that includes us, in the epoch that may soon be named for our very failure – the Anthropocene. In an era in which our usual, day-to-day certainties and desire for human control have been upended, not only by the current medical crisis but also by the continuing existential threat to terrestrial life that is climate change, a rethinking of the category of the human, a new conceptualization of the entangled (human and nonhuman) material relationships on our planet and beyond, requires reflecting on time. This article engages in such reflection through a conversation with the philosophical writings of Gilles Deleuze and Félix Guattari.

Keywords: timeAnthropoceneposthumanmaterialityquantumDeleuzeDarkcontagion

In The Great Derangement: Climate Change and the Unthinkable, the Indian writer Amitav Ghosh wonders if “science fiction is better equipped to address the Anthropocene than mainstream literary fiction.” In the end, however, Ghosh comes to the conclusion that

cli-fi is made up mostly of disaster stories set in the future, and that … is exactly the rub. The future is but one aspect of the Anthropocene: this era also includes the recent past, and most significantly, the present … the Anthropocene resists science fiction: it is precisely not an imagined ‘other’ world apart from us (2016: 72).

For Ghosh, climate change, along with the threat of mass extinctions that humans pose to multiple forms of life, is a problem set in the present and on this planet, not in an imagined future or in space. The first German Netflix series, Dark (2017–2020) enacts a staple of science fiction, namely time travel, putting it in intra-action with such physical or theoretical phenomena as black holes, wormholes, quantum leaps from one energy level to another, light, and lunar and solar cycles. In dialogue with our contemporary scientific understanding of quantum physics and spacetime as well as with the uncanniness of the horror genre, Dark enacts one of the global threats marking the Anthropocene, a threat widely discussed in Germany in recent years: the very real dangers of nuclear energy that link past, present and future on our planet.

Asked recently why time travel is so in vogue in popular culture these days, Jantje Friese, one of the creators of Dark, responded: “we live in uncertain times, we fear what is coming in the future and we have a nostalgic thing about the past, about going back to how it used to be …, to better times” (Robinson and Ashurst 2020). As in the current global pandemic, in which time has found a new rhythm, in Dark an endless succession of catatonic episodes or flashes sweep away subjective interiorities in a strong common affect. As ‘we’ shelter in place, in a physical interiority, this exteriority – the velocity of this exteriority – nevertheless dominates everything.1

1 Space-Time: Science and Philosophy

A year before the pandemic threat caused by the new coronavirus, on April 10, 2019, the news exploded with a different sensation, of not only global, but cosmic, dimension. Astronomers had captured an image of what Dennis Overbye, in that day’s New York Times, called “the unobservable”: a black hole. By definition, black holes are matter that “has collapsed upon itself and has disappeared from our view” (Rovelli 2016: 45) and thus from any sense of human control. Black holes are created when too much matter accumulates in one place and the force of gravity becomes so overwhelming that no matter or radiation in its proximity can escape its pull. Matter, time and space are profoundly altered near black holes.2 A black hole is thus a “major disruptor of cosmic order” (Overbye 2019). Such a major disruption of cosmic order marks the events enacted in Dark. Black holes are also an example of what the philosopher Timothy Morton calls “hyperobjects,” i.e. “things that are massively distributed in space and time relative to humans” (Morton 2013: 1). As Michael Cronin notes, hyperobjects change our perception of time: “The future … is no longer in the future. It informs the here and now” (2017: 3). We are confronted “now” with an uncontrollable object, an existential threat somehow hurtling towards us.

Giving expression to our ensuing sense of apprehension, Overbye (2019) described the black hole observed as “an eternal trap,” “a smoke ring framing a one-way portal to eternity,” or “the doughnut of doom.” Tinging scientific optimism with awe, such verbal images link physics and metaphysics, nature and the supernatural. A similar link also contributed to the recent success of Dark. Infusing from the start a transcendental dimension that gives this cinematic fiction about the quantum entanglements of the physical universe its affective power, Dark, at the very beginning of the first episode, sets the tone of the series by characterizing black holes as the “Höllenschlund des Universums” (“the hellish pit of the universe”).3 It is exactly this supernatural but also deeply human dimension, involving questions of good and evil, that provides Dark with its specific affect of fear.

While Dark establishes a conversation between science and philosophy, the present article aims as well to move beyond a one-sided analysis that sees representation/meaning/the human, on the one hand, and more-than-human materiality, on the other hand, as two incompatible sides of a dualistic opposition. Taking the popular Netflix series as a starting point and illustration, the article specifically focuses on Gilles Deleuze’s and Félix Guattari’s philosophy as a key to temporality in the Anthropocene. Deleuze’s and Guattari’s process philosophy and quantum physics share many insights; Dark, as well, draws on this conversation.

The TV series starts with a quotation from Einstein: “the distinction made between past, present, and future is nothing more than a persistent, stubborn illusion” (S1: E1, also quoted by Rovelli, 2016: 60). In contrast to Newtonian physics, the theory of general relativity taught us that space and time are not inert boxes, that they are, instead, dynamic (Rovelli 2016: 42). As the British cosmologist Stephen Hawking explains, “the theory of relativity forces us to change fundamentally our ideas of space and time. We must accept that time is not completely separate from and independent of space but is combined with it to form an object called space-time” (2005: 33).

According to Overbye, Einstein’s general theory of relativity “led to a new conception of the cosmos, in which space-time could quiver, bend, rip, expand, swirl like a mix-master and even disappear forever into the maw of a black hole” (2019). While the theory of black holes emerged from his equations, Einstein himself remained reluctant to accept their existence, remaining a life-long sceptic of this aspect of the quantum revolution (Barad 2007: 104). Einstein’s general theory of relativity – the theory of gravity, space and time – does not account for the uncertainty principle4 and is thus itself not a quantum theory (Hawking 2005: 122). According to the general theory of relativity, one cannot travel in time. The world enacted in Dark, however, is a universe based on quantum entanglement. In A Thousand Plateaus, Deleuze and Guattari distinguish between two kinds of science. They speak of an “eccentric science,” a “nomad science” that is different from the sciences “in the royal, imperial, or legal sense.” It is a science of flows, flux, and a different kind of consistency: “The model in question is one of becoming and heterogeneity, as opposed to the stable, the eternal, the identical, the constant” (1987: 361, 362). It is this kind of science, quantum physics, that asserts itself in Dark – a science of phenomena or events rather than a science of stable properties or stable substances.

Both in the cosmos and in Dark, spacetime is not a pre-existing, Newtonian, stable container; it is iteratively produced in the dynamic making and remaking of boundaries and exclusions. Dark meets the physicist-philosopher Karen Barad’s description of “intra-actions” as “the dynamics through which temporality and spatiality are produced and iteratively reconfigured in the materialization of phenomena and the (re)making of material-discursive boundaries and their constitutive exclusions” (2007: 179). In Dark, topological questions of boundaries, connectivity, interiority and exteriority abound. For the understanding of time, the issue is not merely that time and space are relative in Einstein’s sense, but rather that intra-active relations iteratively reconfigure space and time. This material reconfiguration is part of the fearful suspense and mystery of Dark, posing questions of acute contemporary relevance – questions about identity, denial, agency, responsibility and accountability – in an ongoing reconfiguration of the real and the possible, the visible and the invisible.

2 Haecceities: Rain, Hail, Wind and Pestilential Air

Both Deleuze and Guattari, as well as Dark, are interested in the creative potentialities of black holes.5 The former speak of black holes as “keys that open or close an assemblage, a territory” (1987: 334). In Dark, black holes allow time travel and thus form the catalysts for an assemblage of years and space. Questioning the Western epistemological tradition’s binary distinction between material and semiotic components,6 between (nonhuman) nature and (human) culture, as well as conventional notions of causality, Dark enacts an ongoing flow of agency and a making of spacetime that cyclically links and iteratively reconfigures four different time periods or related “events” (from 1953 to 2052), each 33 years apart. Each of the years featured in Dark is a milieu in Deleuze’s and Guattari’s sense, “a block of space-time constituted by the periodic repetition of the component.” For Deleuze and Guattari, “one milieu serves as the basis for another,” a process that they refer to as “transcoding” or “transduction” (1987: 313).7

The topology of connected years in Dark: the howling winds and the rain, the forest and caves of Winden, along with nuclear radiation, are more than mere metaphors, more than merely supplementary, decorative backgrounds that situate human subjects. Instead, the multiple nonhuman and human actants in Dark are haecceities or events in Deleuze’s and Guattari’s sense. (The term haecceitas is borrowed from medieval philosophy; it concerns, among other things, the question of what we call ‘identity’.) Their description warrants quoting at length:

There is a mode of individuation very different from that of a person, subject, thing, or substance. We reserve the name haecceity for it. A season, a winter, a summer, an hour, a date have a perfect individuality lacking nothing, even though this individuality is different from that of a thing or a subject. They are haecceities in the sense that they consist entirely of relations of movement and rest between molecules or particles, capacities to affect and be affected. When demonology expounds upon the diabolical art of local movements and transports of affect, it also notes the importance of rain, hail, wind, pestilential air, or air polluted by noxious particles, favorable conditions for these transports. Tales must contain haecceities that are not simply emplacements, but concrete individuations that have a status of their own and direct the metamorphosis of things and subjects (1987: 261, emphasis in original).

One could well take this passage from A Thousand Plateaus, in which Deleuze and Guattari propose a posthuman and post-substantialist conceptualization of individuation, as a description of Dark. Haecceities enter into conjunction with each other in assemblages on what Deleuze and Guattari call the plane of consistency or composition. This plane “holds together” heterogenous elements (establishing consistency between disparate elements that were previously co-present or succeeded each other – 1987: 323, 330); it frees “variations of speeds and slownesses between movements in composition” (1987: 267). Dark is such an enactment of variations of speeds and slownesses between heterogeneous elements. According to Deleuze and Guattari, “[an] haecceity has neither beginning nor end, origin nor destination; it is always in the middle … It is a rhizome” (1987: 263). In Dark as well, time is rhizomatic. While the narrative starts in 2019, it soon intra-acts with other years, in an ambulant8 model that constitutes and expands space and time, a zigzagging in which the direction of the narrative varies endlessly. With its “gaps, detours, subterranean passages, stems, openings, traits, holes, etc.,” the cave system in Winden meets Deleuze’s and Guattari’s description of a rhizome (1987: 415).

3 The Unpredictability of Smooth Spaces: from Radioactivity to COVID-19

“Everything is connected” (“Alles is miteinander verbunden”) is the leitmotif of Dark. But is Dark unequivocally a multilinear system in Deleuze’s and Guattari’s sense, where “everything happens at once,” where “the line breaks free of the point of origin,” where “the transversal breaks free of the diagonal as a localizable connection between two points” (Deleuze and Guattari 1987: 297)? On the one hand, given its references to Greek tragedy and its emphasis on inevitability or its allusions to Christian predestination, Dark provides a “striated” space where movement-matter is organized on a linear, chronological timeline, “produc[ing] an order and succession of distinct forms” (Deleuze and Guattari 1987: 478). Deleuze and Guattari quote the French composer Pierre Boulez, who “says that in a smooth space-time one occupies without counting, whereas in a striated space-time one counts in order to occupy” (1987: 477). The intertwined, but “fixed” years in Dark help occupy, territorialize, a striated space-time, a “long-distance vision.” The 33-year cycles arguably establish what Deleuze and Guattari call an “invariance of distance through an interchange of inertial points of reference” that is typical of striation. These points of reference or years are inertial because they – the past, present or future – ultimately cannot be changed. In striated spaces, these points are “interlink[ed] by immersion in an ambient milieu,” here the city of Winden and its caves. In addition to this central location, the protagonist, Jonas, provides the central perspective required by a striated space (Deleuze and Guattari 1987: 494).

The anxiety that pervades Dark, however, indicates that the flows and variation of matter persist in the series, that they have not been completely warded off by the “constancy and eternity” of a striated space (Deleuze 1987: 496). In fact, during the first two seasons of Dark, the central characters in Dark arguably all struggle in their own ways against smooth spaces/change. In addition to elements of striation, however, Dark also enacts a “smooth” or nomad space, a space of non-subjectified, depersonalized affects, events and haecceities “occupied by intensities, wind and noise, forces, and sonorous and tactile qualities,” a patchwork where we follow the flow of cosmic energy-matter through “local linkages between parts” (Deleuze and Guattari 1987: 496), in a movement or process that is “alive as a continuous variation,” constantly changing direction, becoming “perpetual, without aim or destination, without departure or arrival” (Deleuze and Guattari 1987:497–8). In Dark, the local linkage between parts is provided by the underground Gate that allows time travel. The series’ affect is co-created and reinforced by the production of disturbing sounds reminiscent of the French playwright Antonin Artaud’s synesthetic theatre of cruelty. Not only is Dark a series about (nuclear) energy; it also enacts a related, affective energy or contagion, one could say as its method, bridging the gap between perception/experience/expression and representation.

Recalling Artaudian atmospherics as well as the convergence in Romantic literature of cosmic elements (the weather) and events affecting humans, it is raining heavily and constantly in the fictional German town of Winden, where Dark is set. The series’ title, of course, also pre-announces the material-discursive (physical and metaphorical) importance of light and darkness and of their impact on the series’ tonality. In the summer of 1986, a half-year after Chernobyl, an accident at the nuclear facility in Winden, while covered up by its directors, sets off the gravitational wave impulses9 that cause a black hole/wormhole, setting in action the central plot of Dark. This gravitational effect on nearby objects or on light passing by explains why flashlights will not function dependably in the proximity of the caves of Winden, which include areas of the local nuclear plant where radioactive waste was stored. The “violent jet of energy” and the “intense pressures and magnetic fields” (Overbye 2019) unleashed on all sides by matter’s falling into black holes could also explain the winds’ howling through the forests and caves of Winden to much atmospheric effect. The nuclear warning signs visible everywhere in the forest around Winden co-produce the ominous tonality of the series.10

In Dark, space-time is both striated and smooth, a Deleuzoguattarian body without organs,11 “always swinging between the surfaces that stratify it and the plane that sets it free” (Deleuze and Guattari 1987: 161). In the body without organs, Deleuze and Guattari write, “life tears itself free from the organic by a permutating, stationary whirlwind” (1987: 499). The winds that spring up when the Gate in the caves beneath Winden is opened, the passage or flow of matter between years, is what creates a smooth space12 in Dark. Does the series then “sufficiently change the general conditions of space and time perception,” to the extent that characters and viewers “can succeed in passing through the holes in the world and following … lines of flight” (French fuite, fleeing) in Deleuze’s and Guattari’s sense (1987: 286)?13 Does Dark meet the scientific requirements of quantum physics as well as those of Deleuzoguattarian philosophy?

Deleuze and Guattari remind us that “the air, the sea, or even the earth” are smooth spaces, open spaces with vortices, movements that have nothing measured or cadenced, where variation can arise at any moment (1987: 363–4). The radioactive spaces of Dark and the air carrying a deadly virus in the current global pandemic are smooth spaces in this sense. The unpredictability of the vortical movement – a vortex that marks both Dark and our world in the times of COVID-19 – contributes to its affective impact. While Deleuze and Guattari are interested in the creative, expressive possibilities of smooth spaces, they remind us that, as is evident in our current predicament, “smooth spaces are not in themselves liberatory … Never believe that a smooth space will suffice to save us” (1987: 500). As Deleuze and Guattari point out, lines of flight (escape, leaking, vanishing into the distance – rather than flying), “always risk abandoning their creative potentialities and turning into a line of death, being turned into a line of destruction pure and simple (fascism)” (Deleuze 1987: 506).14 The threat of fascism and destruction is also present in Dark.15 What we were witnessing in the U.S. in 2020 and early 2021 – in the combination of an acute medical crisis and ineffective, tendentially totalitarian political leadership – was a smooth space potentially turning into a line of destruction pure and simple.

4 The Eternal Return: Deleuzian Contagion

Dark presents spatiotemporality as a circle, explicitly in reference to Nietzsche’s eternal recurrence of the same, in which the present and the future seem to be able to mutually influence each other. The series’ characters are able to move forward and back on a processual network of interconnected years. In Einstein’s theory as well, “[t]he single quantity ‘time’ melts into a spiderweb of times … The world [is] a network of events affecting each other” (Rovelli 2018: 16). The German-Austrian logician Kurt Gődel as well realized that “advancing always toward the future, one can return to the same point in spacetime … In this way, a continuous trajectory toward the future returns to the originating event” (Rovelli 2018: 53).

Dark is centrally structured around a 33-year cycle, the lunar-solar cycle in which “everything repeats” (“dass sich alles wiederholt”) (S1: E5). A lunar year has approximately 354 days. A solar year has 365 days. Over the course of 33 years, there will thus be a difference of one year between solar and lunar calendars. In purely lunar calendars like the Islamic calendar, the lack of intercalation causes the lunar months to cycle through all the seasons of the Gregorian year over the course of a 33 lunar-year cycle (Lee 2018). After 33 years, the seasonal change then starts to repeat again. At this point, as Charlotte explains in Dark’s S1: E8, all stars are again in the same position.

In Nietzsche and Philosophy, however, Deleuze argues that Nietzsche in fact denies (in Thus Spoke Zarathustra, 1883) that “the eternal return is a circle which makes the same return” (Deleuze 1983: ix–xii, 4, 15, 151). In Difference and Repetition, Deleuze writes: “The ultimate element of repetition is the disparate [dispars], which stands opposed to the identity of representation” (1994: 57). Rather than identity or sameness, Deleuze argues, Nietzsche’s return embraces the disparate. In A Thousand Plateaus, Deleuze and Guattari furthermore reference Nietzsche’s idea of the eternal return as “a little ditty, a refrain, but which captures the mute and unthinkable forces of the Cosmos” (1987:343). Dark is driven by disparate cosmic forces, forces that include time and space.

Spatiotemporality, or what Deleuze and Guattari call “speed(s),” becomes the major actant in Dark, a force that sweeps up the human characters and everything else. Deleuze associates Nietzsche’s work with the time modality aeon. In contrast to chronos (“the time of measure that situates things and persons, develops a form, and determines a subject”), this impersonal mode of temporality is also enacted in Dark:

the indefinite time of the event, the floating line that knows only speeds and continually divides that which transpires into an already-there that is at the same time not-yet-here, a simultaneous too-late and too-early, a something that is both going to happen and has just happened (Deleuze and Guattari 1987: 262).

The plane enacted in Dark is a desubjectified, depersonalized plane of “nonvoluntary transmutation,” “[a] strange machine that is simultaneously a machine of war … and contagion-proliferation-involution [involution as dissolution of form – opposed to evolution]” (Deleuze and Guattari 1987: 269, 270). Contagion, in other words, is more than a thematic element or representation in Dark; it is a material process of agency, a “style” (Deleuze and Guattari 1987: 318–9) that enters into conjunction with a nonlinear mode of temporality, with “speeds and slownesses, movement and rest” (Deleuze and Guattari 1987: 270) on the plane of consistency of variation.

The two planes that Deleuze and Guattari discuss, the immanent plane of consistency and the “stratified” plane of organization or development/ transcendence, are in constant interaction; in spite of Deleuze’s and Guattari’s preference for the former, both planes are necessary:

so much caution is needed to prevent the plane of consistency from becoming a pure plane of abolition or death, to prevent the involution from turning into a regression to the undifferentiated. Is it not necessary to retain a minimum of strata, a minimum of forms and functions,16 a minimal subject from which to extract materials, affects, and assemblages? (1987: 270)

Not held in check by striation, the plane of consistency can regress into undifferentiation and death. Is the antagonist Adam’s goal in Dark – his goal of halting human suffering and time – an excess of striation, or is it located on a plane of abolition or death, a regression to the undifferentiated? Would this regression stop the process of desire that is Deleuze’s and Guattari’s “becoming”?17 Or is it Adam’s goal to simply uproot feelings from the interiority of a subject, to leave nothing but a “pure exteriority” (Deleuze 1987: 356), a depersonalized affect? Although the viewer identifies with the characters’ (and in particular the protagonist Jonas’) fears, Adam’s goal is a depersonalization of emotions and the complete stoppage of time to the point of every character’s death (S2: E8). In Dark, Adam wants to do away with human desire and end the flow of time and pain. Deleuze, on the other hand, it is important to note, associates the biblical Adam with quantum flows, deterritorialization, decoding and lines of flight (1987: 223).

In contrast to the materials, affects and assemblages that flow in Dark on a plane of consistency of variation, the “subjects, forms, resemblances between subjects” (Deleuze and Guattari 1987: 272) are on the plane of organization or development. Dark refers to the inevitability that typifies Greek tragedy and that also marks the proximity of a black hole. Once matter is inside the black hole’s horizon, moving into the hole becomes inevitable. In contrast to the temporal modality that is aeon, chronos, a temporality that seems anything but random, is also present in Dark’s highly developed, often symmetrical formal structure, in its geometrical proportionalities and analogies. The structural repetitions in the series are a human imposition of order/striation onto the cosmic forces of chaos.

Replacing traditional notions of causality with “the richness and complexity of causal relations in physics” (Deleuze and Guattari 1987: 431), Dark also cuts between years in a non-linear, associative manner. Quantum mechanics is based on the uncertainty principle, which stipulates that “events cannot be predicted with complete accuracy: there is always a degree of uncertainty” (Hawking 2005: 134–5). The interplay between inevitability and uncertainty is central to Dark.

The physicist Rovelli states: “The difference between past and future, between cause and effect, between memory and hope, between regret and intention … in the elementary laws that describe the mechanisms of the world, there is no such difference” (2018: 21). Trained in quantum physics, Barad similarly writes: “The past matters and so does the future, but the past is never left behind, never finished once and for all, and the future is not what will come to be in an unfolding of the present moment; rather the past and the future are enfolded participants in matter’s iterative becoming” (2007: 181). In Dark, there is no linear causality moving only in one direction. Past, present, and future are enfolded in a common iterative becoming.18

5 Anthropocentrism and Beyond

Human characters are central to Dark, foremost among them the protagonist, Jonas Kahnwald; but Dark is also driven by nonhuman “characters” or actants, including most prominently spacetime itself and time travel through wormholes. First theorized in 1916, wormholes or Einstein-Rosen bridges are hypothetical/calculable shortcuts across the universe directly through curved spacetime.19 One of the drawings on a character’s, the Stranger’s, walls in his hotel room shows a wormhole. But we also learn in the series that Einstein and Rosen have “overlooked something” (S1: E8). As the series’ scientist, Tannhaus, tells us, they have overlooked the co-extensiveness of past, present and future (S1: E8). Enacting the theme of symmetry, the Introduction to Dark consists entirely of visual symmetries, and the series centrally enacts plot and character symmetries. Characters look alike; they lead double lives; motifs and images recur.

As a human illusion, time as we know it, however, is “inherent to subjectivity” (Rovelli 2018: 186–7). Limited human perception and memory – our anticipation, our weak attempts at changing the course of time or at keeping change at bay – are the source of our suffering (Rovelli 2018: 190–1). Not only can our limited human vision not accurately perceive that there is no inherent difference between past, present and future; in the physical world, space and time are not things: “ours is a world of events rather than of things” (Rovelli 2018: 195). By necessity, a philosophy of phenomena and events replaces the physics and philosophy of static substances. While the spiderweb of interconnected years and time travel are the result of a nuclear accident in Dark, an objective indeterminacy and indistinguishability of past, present and future seem in fact part of the fundamental functioning of the universe.

Dark also enacts the close physical link between energy and spacetime and the second law of thermodynamics. According to the second law of thermodynamics, when energy changes from one form to another form, or when matter moves freely, entropy (disorder) in a closed system increases. The history of the cosmos is characterized by an increase in entropy. Rovelli explains this “halting and leaping cosmic growth of entropy” by using the image of opening a door. The slow, cosmic growth of entropy only occurs “when something opens a door upon a process that finally allows entropy to increase. The growth of entropy itself happens to open new doors through which entropy can increase further” (2018: 163–4). Rovelli includes nuclear fission – the central problem of Dark – in this cosmic history: “The ignition of nuclear fission opens the door that allows the further increase in entropy: Hydrogen burning into helium” (2018: 164). These “doors,” whether Rovelli’s or the fictive door (the Gate in the Winden caves) that allows time travel in Dark, establish a relationality, a network of processes, that create change and disorder. The characters in Dark try in various ways to reverse this entropy and to (re)create order.

The only difference between the past and the future thus has to do with the lower entropy of the past. Events only leave traces, that is, stop moving, in a process that is in fact irreversible: the degradation of heat into energy (Rovelli 2018: 167). Since this process is irreversible, the past can then ultimately not be changed. In Dark, Ulrich cannot prevent his son’s fate, and Jonas cannot change the future (by helping Mikkel return) without erasing his own future. The fact that, after the end of Season 1, fans of Dark were eagerly awaiting the second season (which started on June 21, 2019) to flesh out what would exactly happen in 2052, kept certain conceptualizations of futurity, continuity and direction alive. The German Trailer for Season 2 ended with: “Die Apocalypse muss kommen” (“The apocalypse must come,” cf. also S2: E1). As we have seen, however, perspectival perceptions or impositions of temporal (linear) order have more to do with humans’ physical limitations and limited interaction with the world (Rovelli 2018: 196) than they do with the processes and forces of the universe.

Another key discovery accomplished by the quantum revolution, a discovery that connects to our contemporary situation in the Anthropocene and in the midst of the current pandemic, is indeterminacy. It is not possible to predict exactly where any event – including spacetime, as event – will take place. Like a contagious virus, in other words, spacetime has no precise position and fluctuates between different probable configurations. As a result, Rovelli states, “an event may be both before and after another one” (Rovelli 2018: 88). In Dark, the Stranger unintentionally creates the wormhole that is then already present in previous years; the building of the time machine, as well, is a paradox undoing any sequentiality between original and copy. Instead of being pre-given, an event becomes concrete, is realized only in relation to the other events with which it is intra-acting. In quantum mechanics, a focus on processes and temporary events and forces thus replaces a physics and philosophy based on pre-given substances and determined attributes (Rovelli 2018: 87–91).20 Does Dark ultimately enact this most radical discovery of quantum physics? The question that all the characters in Dark try to answer is: Is reality malleable or does it coalesce from the past according to unchangeable laws?

Representing time as entangled in an agential material environment that reverberates with many insights of Deleuzian, new materialist philosophy, Dark presents not only humans but also nonhuman materiality as agential forces. Like the novel coronavirus, the physical phenomena enacted in Dark are nonhuman actants in a material universe. The central nonhuman threat (in Dark, nuclear contagion) is, like climate change, correctly identified as having been ultimately caused by humans, however, as the material price humans pay for their Faustian pacts.

During its first two seasons, Dark does run the risk of not going beyond an anthropocentric problematic. Although it represent humans’ self- or subject-based attempts to change fate as ultimately fruitless, the very suspense of the series is nevertheless based on the hope that they will be able to do so after all (and defeat a supernaturally-tinged “evil”). Although everything is connected and continuous in Dark, the portrayal of Jonas Kahnwald as an heroic human character (with Christ-like traits) ultimately remains within the identity/ subject confines of anthropocentrism. It seems that what the new materialist, posthumanist philosopher Rosi Braidotti calls “an ethics of eco-philosophical empathy and affectivity which cuts across species, space and time” (2006: 156) ultimately still eludes Dark.

Nevertheless, Dark offers us much to think about. What we witness in Dark is indeed close to what Braidottti describes as “the recurrence of difference in successive waves of repeated, successive and excessive becomings, in which ‘I’ participates and gets formatted, whereas Zoe acts as the motor” (2006: 157). Like zoe, the impersonal life force, spacetime is not just a setting, but indeed an actor, a motor in Dark. The series’ main question remains, however: “Was ist der Mensch? Woher kommt er?” (S1: E9) (“What is man? Where does he come from?”) What are the characters’ true identities and what is the role of humans? Do humans retain freedom of choice, or are we utterly subject to the inevitable circularity of time? Rather than simply echoing this false dichotomy (a dualism in fact resolved, together with all other dualisms, in the third season of Dark), the present article poses a different question: Is the philosophy that structures Dark an epistemology based on human subjectivity or a process ontology in which forms are not produced by subjects and where phenomena in play “find their individuation in the assemblage of which they are a part, independent of the form of their concept and the subjectivity of their person” (Deleuze and Guattari 1987: 264)? Deleuze himself warns us that “no flow, no becoming-molecular escapes from a molar formation without molar components accompanying it, forming passages or perceptible landmarks for the imperceptible processes” (Deleuze and Guattari 1987: 303). The formal striations described and the years and characters that structure Dark are arguably such necessary, molar, territorialized landmarks. “But,” Deleuze and Guattari write, “these territorialized functions and forces can suddenly take on an autonomy that makes them swing over into other assemblages, compose other deterritorialized assemblages” (1987: 325). The imperceptible processes or molecular becomings that pass between coordinates or assemblages – effecting deterritorialization, change and continuous variation in a smooth space – are the impersonal, more-than-human driving force of Dark.

While Season 1 presents the inherent link between time and space (“The question is not where but when”), the ending of Season 2 opens up to the potential existence of different worlds. A woman who looks like Martha (the woman Jonas loves, tragically) returns after Martha’s death and says to Jonas (who asks her from which time she is): “Die Frage ist nicht aus welcher Zeit, sondern aus welcher Welt” (“The question is not from which time, but from which world”) (S2: E8). Season 3, released in June 2020, then takes us to a more-than-human, posthuman world, to a multiverse in the sense of quantum mechanics’ Many Worlds model, which theorizes the existence of parallel realities.

In the final, third season of Dark, different time scales, characters, worlds, good and evil, become entangled to the point of becoming indistinguishable. The “origin” lies beyond the two worlds known previously, in a third dimension that goes beyond dualistic divisions. A Deleuzian, posthuman process ontology inspired by quantum physics replaces the anthropocentrism of Cartesian epistemology. Adam says to his younger self, Jonas: “Was wir wissen ist ein Tropfen. Was wir nicht wissen ein Ozean” (“What we know is a drop. What we don’t know is an ocean”) (S3: E8). Human knowledge and human time scales are not at the center, but are only a minute part of a much vaster and diverse, more-than-human cosmos.

References

1Cf. Deleuze 1987: 356.

2“[T]he spacetime of the quantum collapse of a black hole passes through a phase in which time fluctuates violently, there is a quantum superimposition of different times, and then, later, a return to a determined state after the explosion” (Rovelli 2018: 127).

3All translations are my own.

4For an explanation of the uncertainty principle, see Hawking’s: “The principle, formulated by Heisenberg, that it is not possible to be exactly sure of both the position and the velocity of a particle; the more accurately one is known, the less accurately the other can be known” (2005: 153).

5In A Thousand Plateaus, Deleuze and Guattari assert that “it may be necessary for the release of innovative processes that they first fall into a catastrophic black hole: stases of inhibition are associated with the release of crossroads behaviors” (1987: 334).

6Cf. Deleuze and Guattari 1987: 334, 337.

7“… not only does the living thing continually pass from one milieu to another, but the milieus pass into one another; they are essentially communicating. The milieus are open to chaos, which threatens them with exhaustion or intrusion. Rhythm is the milieu’s answer to chaos. What chaos and rhythm have in common is the in-between – between two milieus, rhythm-chaos or chaosmos … There is rhythm whenever there is a transcoded passage from one milieu to another, a communication of milieus, coordination between heterogeneous space-times … rhythm is critical: … it ties together critical moments, or ties itself together in passing from one milieu to another. It does not operate in a homogeneous space-time, but by heterogeneous blocks. It changes direction” (Deleuze and Guattari 1987: 313).

8Cf. Deleuze and Guattari 1987: 372.

9“Gravitationswellenimpulse,” according to the scientist Tannhaus in S1: E8.

10The resemblance between the tripartite structure of the nuclear energy symbol and the triquetra symbol (from the Emerald Table) that is central to the series also shows the clear link between physics and mythology in Dark.

11Cf. Deleuze and Guattari: “the BwO is all of that: necessarily a Place, necessarily a Plane, necessarily a Collectivity (assembling elements, things, plants, animals, tools, people, powers, and fragments of all of these; for it is not ‘my’ body without organs, instead the ‘me’ (moi) is on it, or what remains of me, unalterable and changing in form, crossing thresholds” (1987: 161).

12Cf. Deleuze and Guattari 1987: 505.

13Ironically, while Deleuze and Guattari associate black holes with stasis, black holes make nomadic movement or time travel possible in Dark.

14Cf. also Deleuze and Guattari 1987: 510.

15In a reference that might remind a German audience of the country’s national-socialist past, Noah says that his bunker “creates order” (“schafft Ordnung;” S1: E9). In this “ark,” in 1986, Noah conducts scientific experiments with time travel, killing children in the process. Noah says to Bartosz, whom he is trying to recruit for his efforts, that the end justifies the means (“Sieg erfordert Opfer.” “Victory requires sacrifice.” S1: E10) – a statement with obvious, historical connotations for a post-1945 German audience.

16Cf. Deleuze and Guattari: “causalities, hierarchies, and framings” (1987: 335).

17“Starting from the form one has, the subject one is, … or the functions one fulfills, becoming is to extract particles between which one establishes the relations of movement and rest, speed and slowness that are closest to what one is becoming, and through which one becomes. This is the sense in which becoming is the process of desire” (Deleuze and Guattari 1987: 272, emphasis in original).

18Cf. Deleuze and Guattari: “all history is really the history of perception, and what we make history with is the matter of a becoming, not the subject matter of a story. Becoming is like the machine: present in a different way in every assemblage, passing from one to the other, opening one onto the other, outside any fixed or determined sequence” (1987: 347).

19In 1935, Einstein and the physicist Nathan Rosen used the general theory of relativity to elaborate on the idea (Redd 2017). Dark refers to Einstein-Rosen bridges by name (S1: E8).

20Cf. Rovelli 2018: 50ff. and 2016: 17–8.

Conceptual framework for balancing society and nature in net-zero energy transitions

Gemma Delafield, Caspar Donnison, Philippa Roddis, Theodoros Arvanitopoulos, Alexandros Sfyridis, Sebastian Dunnett, Thomas Ball,  Kathryn G. Logan 

Abstract

Transitioning to a low carbon energy future is essential to meet the Paris Agreement targets and Sustainable Development Goals (SDGs). To understand how societies can undertake this transition, energy models have been developed to explore future energy scenarios. These models often focus on the techno-economic aspects of the transition and overlook the long-term implications on both society and the natural environment. Without a holistic approach, it is impossible to evaluate the trade-offs, as well as the co-benefits, between decarbonisation and other policy goals. This paper presents the Energy Scenario Evaluation (ESE) framework which can be used to assess the impact of energy scenarios on society and the natural environment. This conceptual framework utilises interdisciplinary qualitative and quantitative methods to determine whether an energy scenario is likely to lead to a publicly acceptable and sustainable energy transition. Using the SDGs, this paper illustrates how energy transitions are interconnected with human development and the importance of incorporating environmental and socio-economic data into energy models to design energy scenarios which meet other policy priorities. We discuss a variety of research methods which can be used to evaluate spatial, environmental, and social impacts of energy transitions. By showcasing where these impacts will be experienced, the ESE framework can be used to facilitate engagement and decision-making between policymakers and local communities, those who will be directly affected by energy transitions. Outputs of the ESE framework can therefore perform an important role in shaping feasible and energy transitions which meet the Paris Agreement targets and SDGs.

1. Introduction

In 2015, the Paris Agreement and the 2030 Agenda for Sustainable Development set transformative implications for global development and sustainability (Gomez-Echeverri, 2018Castor et al., 2020). The Paris Agreement aims to keep global temperature rise this century below 2 °C above pre-industrial levels and to pursue efforts to limit this temperature increase to 1.5 °C (UNFCCC, 2015). A target of 1.5 °C will only be achieved if significant reductions of greenhouse gas (GHG) emissions are made, which implies a worldwide transition to net-zero by the mid-century (Rogelj et al., 2015). Simultaneously the 2030 Agenda introduced 17 Sustainable Development Goals (SDGs), with 169 sub-targets relating to global challenges including: climate change, environmental degradation, biodiversity loss, justice, poverty and inequality (Banister, 2019Cadez et al., 2018Küfeoğlu and Khah Kok Hong, 2020Yildiz, 2019). Together these frameworks provide a blueprint towards a sustainable, low-carbon and more equitable world.

Both the Paris Agreement and SDGs acknowledge the criticality of developing sustainable energy systems to address the environmental, economic and societal challenges of climate change (Phillis et al., 2020). Energy systems are intrinsically linked to the natural environment and human wellbeing: it is therefore imperative that decarbonisation is not tackled in isolation (Fuso Nerini et al., 2018). For example, if siloed thinking prevails, we could witness the adoption of energy scenarios that achieve net-zero targets but lead to the loss of threatened plant and animal species, or which generate or widen existing inequalities in society (Holland et al., 2019Sovacool et al., 2015). To avoid the unintended consequences of siloed policymaking, it is imperative that decision-makers adopt a more holistic approach to energy transitions in the coming decades.

In this paper, we present the Energy Scenario Evaluation (ESE) framework which has been developed to assist policymakers and researchers in evaluating the sustainability and public acceptability of energy scenarios. The framework uses a mixed method approach to evaluate energy scenarios based upon criteria which have been developed from the SDGs. We aim to demonstrate how an interdisciplinary approach can be used to support policymakers developing energy scenarios that consider a wider set of sustainability criteria. The framework can help stakeholders identify the opportunities and challenges in future energy scenarios, from a wide range of perspectives. In addition, the framework can be used to explore future avenues for incorporating environmental and socio-economic data into energy models to support the creation of energy scenarios which are reflective of a broad range of impacts.

No other framework exists which combines multiple quantitative and qualitative methods to evaluate energy scenarios against public acceptance and sustainability criteria. Such a framework is needed to explore the wider context of energy scenarios, which are produced by energy models that typically focus on techno-economic factors (Jebaraj and Iniyan, 2006Strachan et al., 2009). Energy models have been influenced by a limited number of SDGs such as: economic growth (SDG 8), industrialisation (SDG 9), climate action (SDG 13), and foreign investment (SDG 17) (e.g. Daly and Fais, 2014). Other environmental, social and political considerations of energy systems are often overlooked (Schuitema and Sintov, 2017Thormeyer et al., 2020). Only a limited number of studies have explored the trade-offs and opportunities that exist between the SDGs and decarbonising energy systems (e.g. Fuso Nerini et al., 2018). The majority of existing energy models have not been designed to engage with the high temporal and spatial nature of renewable energy generation (Pfenninger et al., 2014). As a result, energy scenarios do not consider spatially dependent factors such as land use requirements and environmental impact (Dockerty et al., 2014Bolton and Foxon, 2015Holland et al., 2018Thormeyer et al., 2020). In recent years, a limited number of studies have explored the role of high temporal and spatial resolution in energy modelling (e.g. Price et al., 2018Zeyringer et al., 2018Tröndle et al., 2020). It is clear however that coupling technological and socio-economic perspectives is necessary to identify technically feasible, financially viable, and socially equitable transition scenarios (Patrizio et al., 2020Hooper et al., 2018). Low-carbon energy transitions need to consider the trade-offs and complex interactions highlighted by the energy quadrilemma; the need to balance cost, the environment, energy security and job opportunities (Olabi, 2016).

1.1. What is a sustainable, publicly acceptable energy transition?

Energy scenarios are created to explore how countries may navigate the transition to a low-carbon energy system. For the purpose of this paper we define ‘energy transition’ as a fundamental and systematic change to the existing energy system (Parag and Janda, 2014Sovacool, 2016). An energy transition generally involves a transformation within the energy system, usually to a particular fuel source (i.e. from wood to coal), technology (i.e. internal combustion engines to electric) or prime mover (i.e. a device that converts energy into useful services) (Hirsh and Jones, 2014Miller et al., 2015Sovacool, 2016). Energy transitions are expected to have a considerable impact on the current energy system, with impacts and changes to the planning and operating paradigm, market structure and regulatory frameworks (Berjawi et al., 2021). The progress of this transition depends on multiple parameters and variables, including key stakeholders (including civil society groups, the media, local communities, political parties, and policymakers) and the circumstances that open up new paths and opportunities for change (Geels et al., 2017Kern and Rogge, 2016Sovacool, 2016). Globally, we are currently witnessing the next energy transition with the rapid expansion of renewable energy sources (IRENA, 2021), this transition will require a holistic and interdisciplinary approach to ensure this energy transition does not negatively impact society or the environment (Crnčec et al., 2021Mitrova and Melnikov, 2019).

Decarbonising our carbon intensive global energy system is of critical importance: it is currently considered unsustainable based on a wide range of social, economic, and environmental criteria (Riahi et al., 2011Grubler, 2012). To cover the wide range of impacts that an energy transition can have, we define sustainability in the broadest terms, those which are reflected in the 17 SDGs. We define a sustainable energy scenario as one that meets ‘the needs of the present without compromising the ability of future generations to meet their needs’ (World Commission on Environment and Development, 1987). We assume this is one which meets both economic, environmental and social objectives. As discussed by Moldan et al. (2012), although indicators can be used to determine whether sustainability targets are being met, it is difficult to define exactly what a sustainable future looks like. It is less whether an absolute value has been met, rather the notion that we are heading in the right direction (Moldan et al., 2012). This perspective is incorporated into the ESE framework to consider the complexity of what sustainability actually means.

When determining the feasibility of an energy scenario, policymakers should pay close attention to public attitudes around the transition to net-zero. A successful energy transition requires engagement with the public: the public often see things missed by experts, add legitimacy to the transition process, and have a democratic right to be involved in decision-making (Fiorino, 1990Szulecki, 2018). Public acceptance of an energy transition operates at different scales, with support at the broad socio-political level not necessarily translating to acceptance for a particular project at the community level, where factors including trust and justice are relevant (Wüstenhagen et al., 2007). For example, although support for wind farms in many countries is high at the national level, public acceptance at a local level is mixed (Rand and Hoen, 2017). Policymakers therefore need to be able to communicate appropriate information when they are engaging with the public.

Public support for an energy technology or project is not static but rather can grow or fall over time; the ‘social licence to operate’ (SLO) refers to the ongoing community and stakeholder acceptance of a particular technology or project (Prno, 2013). Key components of establishing a SLO include forming relationships with stakeholders, communicating impacts of the project with the local community, and addressing sustainability concerns (Prno, 2013). The ESE framework provides the opportunity to address these core elements of the SLO: whereby public attitudes and preferences can be integrated into the design of energy scenarios, and spatially resolved environmental and social outputs can be used to provide information to local communities, facilitating holistic decision-making. This approach should prevent the implementation of energy technology in ‘top-down’ or ‘place-blind’ ways, both of which are likely to provoke public opposition and failure to achieve a SLO (Goldthau, 2018Buck, 2018Burke and Stephens, 2018). Several recent studies have highlighted the importance of engaging with local communities and stakeholders during energy transitions to mitigate the risk of not achieving public backing or a SLO (Moffat et al., 2016Baumber, 2018Hurst et al., 2020Sovacool et al., 2019Roddis et al., 2018). The SDGs were designed not only for policymakers but also for engagement with the public, and to promote sustainability (United Nations, 2019). Energy system transitions which are designed to meet the SDGs, and where this connection is explicitly made, therefore presents the opportunity for clearer communication with the public, which could support public acceptance of energy system changes. Additionally, meeting the broad criteria of sustainability encapsulated by the SDGs will demonstrate sustainability in environmental, economic, and social terms. This too could be important for public acceptability, given public concern that there may be trade-offs between environmental sustainability and economic sustainability (Bain et al., 2019).

The SLO concept is related to and interconnected with that of energy justice. Energy justice is a conceptual framework which explores how the costs and benefits of an energy transitions are distributed amongst society and how stakeholders are engaged in the decision-making process (Boardman, 2013Bullard, 2005Heffron et al., 2015Heffron and McCauley, 2014Jenkins et al., 2016Jenkins et al., 2021Lee and Byrne, 2019Liddell and Morris, 2010Pastor et al., 2001Sovacool and Dworkin, 2015Walker, 2009Walker and Day, 2012). The ESE framework touches upon these elements of energy justice but does not, and cannot, fully cover the theory of energy justice. Instead, we argue that the ESE framework should be used alongside processes which are centred upon energy justice and can delve into the complex layers of the framework, such as the work of climate assemblies (Climate Assembly UK, 2020).

1.2. Evaluating energy transitions using mixed methods

Despite the increased use of qualitative research methods in exploring energy transitions, there remains a lack of studies which integrate these methods with the quantitative approaches traditionally used in energy systems models (Royston and Foulds, 2021). Current policymaking is still heavily influenced by the output of quantitative energy models, often overlooking the value of qualitative methods. This is despite the limitations of focusing purely on quantitative or qualitative methods having been well documented, with a mixed methods approach widely advocated to help expand our understanding of the phenomenon being studied (Lieber and Weisner, 2010Pluye and Hong, 2014Almalki, 2016). For example, economic and natural science modelling are unable to fully consider the complexities associated with public acceptability of integrating low-carbon energy infrastructure across different spatial scales. The ESE framework that we propose provides a range of mixed methods to holistically assess energy system transitions, identifying how they can achieve sustainability as set out across the SDGs, as well as public acceptance of these transitions. This approach will allow researchers and policymakers to identify and explore the trade-offs and co-benefits that exist within energy scenarios to transition the economy to net-zero emissions. The SDGs are used conceptually as a means to evaluate energy scenarios and communicate their potential impacts to both decision-makers and the general public.

This article is structured as follows: Section 2 provides the rationale of the ESE framework and is split into four sub sections. Section 2.1 provides an overview of the framework, Section 2.2 defines the evaluation criteria and Section 2.3 details how the framework can be used to evaluate energy scenarios. Section 2.4 explains how the outputs of the framework could be soft-linked to energy models to improve their consideration of environmental and social factors. Section 3 discusses the key strengths (Section 3.1) and challenges of using a mixed methods approach within the ESE framework (Section 3.2). Section 4 details the key conclusions of the paper and the need for the ESE framework for policymakers and decisionmakers.

2. The Energy Scenario Evaluation (ESE) framework

2.1. Overview of framework

The ESE framework has been developed to assist policymakers evaluate whether energy scenarios can be considered as likely to be sustainable and publicly acceptable based on a range of evaluation criteria informed by the SDGs. The framework aims to (i) identify the ways in which existing energy scenarios impact society and the natural environment; (ii) use quantitative and qualitative tools to measure and assess these impacts; (iii) show how environmental and socio-economic data can be integrated into energy models to generate energy scenarios; and (iv) support decision-makers to identify and shape energy scenarios that achieve public acceptance and sustainability as conceived through the SDGs.

The ESE framework provides a holistic appraisal of energy scenarios designed to meet climate change targets. By incorporating a variety of interdisciplinary methods, our framework provides an insight into how energy scenarios impact both society and the natural environment. The framework provides both an ex-post and ex-ante perspective on the development of energy scenarios (Fig. 1). Firstly, an ex-post perspective is used to explore whether an existing energy scenario would likely lead to a publicly acceptable and sustainable energy transition using a wide spectrum of evaluation criteria. An ex-ante approach is then used to identify how public acceptance and sustainability could be embedded within the energy systems models that generate the energy scenarios. This could, for example, include soft-linking the outputs of other interdisciplinary methods into energy systems models (Fig. 1). Various research methods could be applied within the ESE framework to evaluate energy scenarios; within Appendix Table A.1 we suggest various research approaches that could be particularly helpful.

Fig. 1
2.2. Evaluation criteria

The evaluation criteria proposed by the ESE framework spans multiple disciplines from the social sciences (e.g. geography, sociology, and economics) to the natural sciences (e.g. biology, ecology, and chemistry) and engineering. Fig. 2 shows how the criteria are directly linked to the SDGs, illustrating how energy transitions are interconnected to human development.1 As highlighted by previous studies however, there are multiple direct and indirect linkages between all 17 of the SDGs (Dawes, 2020Zhang et al., 2016Zhao et al., 2021). For example, Cernev and Fenner (2020) discussed that through the development of resilient infrastructure (SDG 9), enhancements can be made to water (SDG 6) and energy (SDG 7), leading to improvements in wellbeing (SDG 3), education (SDG 4), gender equality (SDG 5), sustainable cities (SDG 11), as well as improving economic growth (SDG 8). Therefore, it is important to have an awareness of the interactions and feedback between the SDGs as they can impact other SDGs either directly or indirectly (Zhang et al., 2016). Public acceptance is assumed to be based on an amalgamation of all of the evaluation criteria used in this study; with no one criteria able to define what it means to be publicly acceptable.

Fig. 2

Mapping the evaluation criteria helps to identify the opportunities and challenges present in energy transitions (Fuso Nerini et al., 2018). The methods proposed within this framework provide an insight into the geospatial issues associated with energy transitions. The deployment of new renewable energy technologies will result in land use change which will have implications for the sustainable management, conservation and protection of marine, coastal, freshwater and terrestrial ecosystems (SDG 6, 13–15). By exploring geospatial issues, the framework can improve policymakers’ understanding of how energy scenarios could impact biodiversity, food production, human health and wellbeing (SDG 2, 3, 15).

In addition to land use change, it is also important to consider the wider impacts of the energy transition on the economy. Using the energy transition to promote sustained, inclusive and sustainable economic growth (SDG 8) will influence other sectors including transport and industry. For example, if individuals transition away from relying on personal vehicles to using public transport, air quality could be improved and sustainable infrastructure developments supported, both of which can improve individual health and well-being (SDG 3, 11, 12). On the other hand, energy transitions may promote sustainable industrialisation and foster innovation through encouraging difficult to decarbonise economic sectors to adopt low carbon processes (SDG 9, 12).

2.3. Ex-post evaluation

To understand the public acceptance and sustainability implications of an energy scenario, the ESE framework sets out five questions key to the net-zero energy system transition, and the evaluation criteria and interdisciplinary methods which can be used to answer them. Fig. 3 shows how the five key questions are interconnected and the evaluation criteria used to answer each one. Appendix Table A.1 details all the methods suggested in this section. The five questions to evaluate an energy scenario are as follows:

  • 1.Where will new energy infrastructure be located?
  • 2.How will the natural environment be impacted?
  • 3.How will other energy-use sectors be affected?
  • 4.How will employment be impacted?
  • 5.Is the scenario likely to achieve public acceptance?
Fig. 3

The first question this framework addresses is the spatial distribution of new energy infrastructure. An energy scenario’s impact on the natural environment and society will be strongly dependent on the spatial context of its infrastructure (Calvert et al., 2013Howard et al., 2013). Multiple methods can be used to determine where energy infrastructure might be located including: spatial optimisation, predictive classification models, and inferential logistic regression (Delafield, unpublished; Donnison et al., 2020Dunnett et al., 2020). Comparing the outputs of different methods allows policymakers to explore the sensitivity of different methodological assumptions. Some proposed methods which determine where new energy infrastructure might be located also consider the second question: how will the natural environment be impacted? Various methods exist to assess the impact of energy infrastructure, and its associated land use change, on food production and a myriad of ecosystem services including: mitigation of flooding, recreation benefits, carbon sequestration, GHG emissions, visual impact and biodiversity benefits (Appendix Table A.1). Additional methods can be applied to explore specific environmental impacts in depth, for example viewshed analysis could be used to determine the visual impact of an energy scenario at a local level (Carver and Markieta, 2012Calvert et al., 2013Wen et al., 2018).

To further explore the sustainability implications of an energy scenario, it is important to consider how other sectors will be impacted. The energy supply sector and resultant installation of new energy infrastructure is not the only way an energy scenario impacts the environment, changes to sectors including transport and industry can do so too. For example, changes to the transport sector will affect both GHG emissions as well as air quality. Methods that include high spatial resolution are needed to explore how an energy scenario’s ratio of battery electric vehicles to conventionally fuelled vehicles will impact local air quality and consequently human health (Woodcock et al., 2009). Appendix Table A.1 details a data mining method which estimates the spatial distribution of traffic flows and subsequent air pollution at street (Sfyridis and Agnolucci, 2020Sfyridis and Agnolucci, 2021). At a national level, the GHG implications of changes to transport and industrial processes will have been estimated during the creation of the energy scenario. As these sectors have been classified as hard to decarbonise, this framework highlights the importance of exploring the accuracy of the emission reductions included in an energy scenario (Agnolucci and Arvanitopoulos, 2019). Appendix Table A.1 details the operating emissions and panel regression analysis methods which can be used to do this (Agnolucci and Arvanitopoulos, 2019Logan et al., 2020aLogan et al., 2020bLogan et al., 2020cLogan et al., 2021).

Another aspect of how energy scenarios can impact the environment, which is usually overlooked in national policies, relates to international impacts. The manufacturing, maintenance and development phases of energy infrastructure are often not fully accounted for in decision-making. This framework puts forward the application of life cycle analysis (LCA) to consider the full range of impacts caused by each stage, from raw material extraction, manufacturing to decommissioning (Chester and Horvath, 2009Helms et al., 2010Hawkins et al., 2012Lovett et al., 2015). This would interlink with on the ground assessments such as Environmental Impact Assessments (EIA) and Strategic Environmental Assessments (SEA) which seek to identify likely significant impacts on the environment from projects such as energy developments (Morrison-Saunders and Arts, 2004).

The impact of an energy transition on employment will also be important to both meeting SDG goals and supporting SLO of transitional energy technologies (Prno, 2013). A key societal impact of the transition to net-zero is the creation of new employment opportunities in various sectors, both through direct and indirect employment effects (Arvanitopoulos and Agnolucci, 2020IRENA, 2011Meyer and Sommer, 2014Cameron and Zwaan, 2015). Using econometric models, such as the one detailed in Appendix Table A.1, the framework can provide quantifiable evidence into how employment will be impacted by an energy scenario (Arvanitopoulos and Agnolucci, 2020).

In addition to employment, public attitudes and SLO of an energy technology will be shaped by engagement with local communities in the decision-making process, the cost of the transition, and how the benefits and costs of the transition are distributed amongst society (Rand and Hoen, 2017). Several studies highlight that energy transitions based on civic ownership of decentralised energy systems could have important implications for the energy democracy of that transition (Becker and Naumann, 2017Szulecki, 2018). Public support for an energy scenario will also be influenced by the cost of the energy transition, as the cost of electricity and fuel will impact the number of people facing fuel poverty, as well as perceived international social and environmental impacts (Bouzarovski and Simcock, 2017McCauley et al., 2019). How these impacts are distributed is also likely to influence the SLO of the energy transition (Prno, 2013). The ESE framework offers a range of methodological approaches to determining public acceptance of energy transitions. Decision-makers can measure the socio-political acceptance of an energy scenario using national scale surveys such as the UK Government’s Public Attitudes Tracker (Roddis et al., 2019). At the community scale, other means of measuring public attitudes will be needed, with public acceptance ‘in the abstract’ not necessarily translating to community acceptance ‘on the ground’ (Buck, 2018). For example, visual impact of wind turbines, closely connected to public attitudes, depends on factors such as how many people can see the turbines, the size of the turbines, the ‘naturalness’ of the surrounding landscape, and personal preferences (Devine‐Wright, 2005). This highlights the importance of a range of factors in public attitudes, and the role of spatial modelling as well as public attitude surveys methodologies.

There are a number of distinct forms of public engagement, referred to as ‘ecologies of participation’ by Chilvers et al. (2018), and mainstream approaches of societal engagement are often limited in their breadth. It is important to consider the interconnected nature of different collective participatory practices and how the public’s attitudes are multi-layered and subject to change over time. As a result of these insights, the ESE framework recommends the use of multiple methods to explore public attitudes and stresses that the outputs from this framework are used as a starting point for discussions with the general public through stakeholder engagement, rather than relying solely on top-down decision-making. The outputs could feed into a ‘balance sheet’ approach which has been recommended previously to collate, interrogate and present evidence in a pragmatic way (Turner, 2016). Multiple studies emphasise the importance of multi-scalar governance for energy transitions, in which there is scope for national energy scenarios to be translated into action at local and regional levels which are sensitive to context-specific circumstances (Turner, 2016Essletzbichler, 2012). The complexities of combining the outputs from multiple methods like this to be used in decision-making is explored in Section 3.2.

2.4. Ex-ante evaluation

By reflecting upon the outputs from the ex-post evaluation, this framework aims to identify ways in which the creation of energy scenarios could be improved. By soft-linking some of the methods in the framework with energy systems models, a wider range of impacts could be considered when creating energy scenarios. A soft-linking approach capitalises on the strengths of both methods by combining them using an iterative approach, this is preferential to a hard-linking approach which would require the full integration of both models (Krook-Riekkola et al., 2017). The soft-linking approach recommended could have repercussions on the variety of energy mixes proposed by the energy systems models.

Two soft-links are proposed for consideration by this framework. Firstly, hard restrictions on the amount of land that is available for different technologies could be included in energy systems models. The amount of land available could be calculated based upon what is deemed to be socially acceptable (e.g. excluding developments on National Parks or high-grade agricultural land). This would be particularly relevant for bioenergy as there are concerns that the level of land-use required to grow bioenergy crops suggested in some energy scenarios goes beyond what could be socially acceptable (Konadu et al., 2015). Secondly, the distribution of costs for energy technologies indicated by the spatial optimisation methods could be included in the energy systems models. Currently energy system models set costs based upon “today’s” cost and the expected trend in costs over time (Ellenbeck and Lilliestam, 2019). These cost assumptions contain a high level of uncertainty for multiple reasons. First, uncertainty is caused by not knowing how manufacturing costs will decrease over time due to technological advancements and economies of scale (Santos et al., 2016). Second, there is uncertainty around how the cost of energy development projects could be influenced by competition for land. So far developments have largely occurred on ‘low-hanging fruit’ locations, those which are low cost and where conflicts are minimal. However, as more infrastructure is deployed and competition for land increases, most notably in densely populated countries like the UK, energy technologies may have to be deployed to less cost-efficient land (Calvert and Mabee, 2015Coelho et al., 2012). By including insights from spatial optimisation models regarding how the cost may increase as less optimal locations have to be chosen, this second uncertainty could be reduced. In addition, the costs currently included in energy models only consider market costs (e.g. construction and grid connection costs), they overlook the wider environmental impacts that energy transitions could have including air quality, visual amenity, and soil carbon sequestration implications. A range of ecosystem service costs could therefore be incorporated into energy models to provide an insight into how the scale of renewable energy expansion could impact the natural environment. There are challenges associated with incorporating this type of data into energy models however, such concerns are discussed in Section 3.2.

3. Discussion

The ESE framework provides a holistic assessment of environmental and social impacts of energy scenarios across different spatial scales. As the framework is rooted to the SDGs (Fig. 2), it ensures that the evaluation of energy scenarios does not narrowly focus upon decarbonisation objectives, but instead provides a systematic method to identify and explore the trade-offs and co-benefits between energy goals and the SDG 2030 Agenda (Fuso Nerini et al., 2018). Far-reaching economy-wide change will be required to achieve net-zero transitions and this will be socially disruptive (Miller et al., 2013). A holistic approach to appraising and developing low carbon energy scenarios will be critical to ensuring that these transitions are sustainable and publicly acceptable. In providing this approach, our framework answers the call for the coupling of social and environmental priorities within energy modelling (Hooper et al., 2018). This framework highlights how sustainability and public acceptance should be seen as central, not simply complementary, to achieving net-zero emissions targets by mid-century.

3.1. Strengths of the ESE framework

The ESE framework is advantageous to policymakers because it can be used immediately in net-zero policymaking, alongside existing energy models, and does not require the construction of new models. Net-zero targets require decisive action in this decade and the ESE framework can be used to evaluate energy scenarios alongside the requirements of other policy goals. The methods recommended by this framework, including location-based assessments of the impact of renewable energy expansion, also allow policymakers to explore how trade-offs vary spatially: by using a mixture of methods, impacts at the local, national and global scale can be identified and explored. Using a similar framework which focussed on a subset of SDGs (SDGs 8–10), Patrizio et al. (2020) showed that the impact of energy policy can vary between country, with net-zero transitions leading to economic and employment loss in some countries and growth elsewhere. This sort of analysis can highlight where there may be resistance to energy transitions, and where policy support may be required. The ESE framework can also highlight how methods could be soft-linked to energy system models to broaden the set of impacts considered when creating energy scenarios. For example, the non-market costs of siting energy infrastructure, as estimated by environmental economic models, could be included into energy systems models.

Using a combination of quantitative and qualitative methods the ESE framework allows for a more thorough understanding of the level of public acceptance, taking account of spatial and temporal variations in public attitudes. This part of the framework can be used to support policymakers as they test appropriately for public acceptance at broad national levels, and at the community level, as well as establishing and maintaining a SLO for particular energy technologies and projects, which could help inform decision-making at the national, regional and local levels. ‘Community’ acceptance describes people’s responses to infrastructure at the local level and is not always consistent with the results from national scale surveys (Wüstenhagen et al., 2007Buck, 2018). Public acceptance at a local level can be influenced by factors such as employment and environmental impact (Healy and Barry, 2017). Roddis et al. (2019), for example, found that support for onshore wind was greater in areas where high levels of people were employed in relation to that technology. Social acceptance can be influenced by a wide range of factors including the perceived visual, noise and biodiversity impacts of the energy infrastructure as well as process-related issues such as the transparency and fairness of the decision-making process (Ellis and Ferraro, 2016). Rand and Hoen (2017) provide an extensive review of wind energy acceptance research highlighting how studies should not view opposition as something to overcome, instead suggesting that individual’s concerns should be listened to and not dismissed. They argue that societal acceptance has long been overlooked and it is imperative that socioeconomic impacts, sound and visual annoyance, distributional justice and fairness in the decision-making process are carefully considered. Although economic and natural science modelling can provide some insight into aspects which influence public acceptance like visual impact (e.g. how many people can see a wind farm, willingness to pay to increase the distance between wind turbines and human settlements), they are unable to fully consider the complexities associated with public acceptability of energy transitions across different spatial scales (e.g. the perceived ‘naturalness’ of the landscape, place attachment) (Devine‐Wright, 2005Rand and Hoen, 2017).

The ESE framework embeds the concepts of the SLO, highlighting the importance of engagement with communities, providing information on impacts of the project, addressing sustainability concerns, and building trust (Prno, 2013). Traditional energy modelling which optimises based on emissions and financial cost is not capable of addressing the requirements of achieving a SLO. Without considering these principles of the SLO, renewable energy projects are likely to face public backlash (Goldthau, 2018). The ESE framework can be used to bring stakeholders into the decision-making process, encouraging societal buy-in by ensuring all voices are listened to (Abram et al., 2020). The framework can provide spatially-explicit information for engagement with local decision-makers and communities to feed into stakeholder engagement activities. The framework promotes the use of qualitative research which can integrate citizen views, attitudes, and values when considering energy transitions. Qualitative research can provide further insights into energy transition discussions, addressing some of the gaps and limitations of quantitative research. Policy is more likely to achieve a SLO when citizens are brought into the decision-making process, shown during the recent climate assemblies in France and the UK (Capstick et al., 2020). These aspects of the framework answer the calls from the 2030 Agenda for greater justice in energy decision-making (Fuso Nerini et al., 2018) and from the Paris Agreement for a just transition to a low-carbon economy (UNFCCC, 2015).

An example of how the ESE framework could be utilised by policymakers is its potential application to the assessment of negative emission technologies (NETs) which are increasingly likely to be required to meet Paris Agreement targets (Rogelj et al., 2018). Whilst technical discussions of bioenergy carbon capture and storage (BECCS) are taking place in policy circles major social barriers to the technologies remain (Fuss et al., 2020Morrow et al., 2020) and stronger governance structures are called for to promote the SLO (O’Beirne et al., 2020). Trade-offs, as well as co-benefits, between the SDGs and NETs will be context and scale-dependent (Smith et al., 2019). The methodology put forward by our framework can provide holistic and spatially-explicit assessment of the impact of NETs, and employ qualitative research methods to address the existing limited public understanding of the technologies (Cox et al., 2020). Greater understanding of the location-specific impacts of NETs such as BECCS could facilitate public debate and the identification of most suitable locations, increasing the likelihood of achieving a SLO (Buck, 2018).

The ESE framework highlights the challenges and complexities of bringing environmental and societal considerations into energy and decarbonisation policies. Previous models have focused narrowly on evaluating energy scenarios principally upon two metrics: minimising GHG emissions and cost. Whereas identifying environmental and social impacts requires the inclusion of a range of methodologies and the use of a number of different criteria, which leads to disagreement over how best to evaluate these impacts simultaneously. Arguably, the most recent advances in the integration of environmental and social impacts into policymaking have been achieved through the ecosystem service framework, often using monetary valuation, allowing optimisation and clear outputs of policy scenarios (e.g Bateman et al., 2013). We argue that this approach will need to be complemented with more qualitative methodologies which account for winners and losers of particular scenarios if energy scenarios are likely to be sustainable, publicly acceptable and achieve SLO (Peng et al., 2021). Additionally, the ‘balance sheet’ approach recommended by the UK’s National Ecosystem Service Assessment may be a suitable complement to our framework (Turner, 2016Turner et al., 2014). By using mixed methods, the ESE framework is able to combine the strengths of quantitative and qualitative methods to deepen our understanding of how the energy transition will impact both society and nature (Hussein, 2009Pluye and Hong, 2014Lieber and Weisner, 2010). The ESE framework uses a critical interpretive synthesis approach, as defined by Pluye and Hong (2004), to extract concepts from both quantitative and qualitative studies, critically examine these concepts to identify similarities and differences. Although the process of using mixed methods is challenging, it allows researchers to recognise the multiple realities of looking at the same problem (Hussein, 2009).

3.2. Challenges associated with using mixed methods

Some studies have raised concerns with mixed methodologies of quantitative and qualitative research methods. There is a perception that mixing paradigms is problematic because the nuance and detail highlighted by the qualitative data may be lost when insights are drawn more generally (Lieber and Weisner, 2010Onwuegbuzie and Leech, 2005Eyisi, 2016). This is one of the reasons why the concept of energy justice has not been embedded directly within the ESE framework. The complexities of assessing energy scenarios in terms of energy justice remains challenging when the paradigm is fundamentally different to the positivist lens used in the ecosystem service approach (Roddis et al., 2018). In this paper, we argue that viewing the ESE framework in parallel to methods which explore energy justice, such as climate assemblies, would be more appropriate. One framework is unable to encapsulate all of the complexities involved in the energy justice paradigm, we would argue that it is possible that no singular framework should try.

A further challenge presented by using mixed research methods is the multiple outcomes that can be observed: corroboration (i.e. the same result), elaboration (i.e. qualitative data analysis exemplifies how the quantitative findings apply in particular cases), complementarity (i.e. results differ but together generate insights) and contradiction (i.e. conflicting results) (Brannen, 2005). When the outcomes of the methods are contradictory, this presents problems when trying to ensure meaningful results are created which can be clearly communicated to a variety of stakeholders (Lieber and Weisner, 2010). Using an interdisciplinary approach to shed light on a complex problem from multiple perspectives is challenging but this does not mean it should not be attempted (Beaumont, 2020). For example, the ESE framework suggests soft-linking the outputs of environmental economic models with energy system models to expand how the natural environment is considered in energy scenario creation. This presents a challenge however, as only certain environmental impacts can be quantified and monetised, and this monetisation provides only a partial value of the impacts (Pearce et al., 2013Dasgupta, 2021). It would therefore be essential that these insights were only viewed as part of the picture, alongside the insights provided by other methods.

We believe that the ESE framework offers the advantage of bringing together the outputs from multiple methods to allow researchers and policymakers to have discussions across traditional disciplinary boundaries to elaborate on findings, discover contradictions and explore the problem from different perspectives. As other studies have highlighted already, mixed methods can increase the credibility of scientific knowledge and perform an important role in informing policy (Hussein, 2009Pluye and Hong, 2014). The question of whether an energy scenario is likely to achieve public acceptance and sustainability is one that cannot be explored using one method or one paradigm, it is a question which needs different perspectives and understandings. We agree with the use of a ‘jigsaw of evidence’ (O’Sullivan and Howden-Chapman, 2017): bringing together multiple findings to create valuable policy relevant information.

4. Conclusions

A whole-systems approach is essential to assess how the transition to a low carbon energy system may impact the economy, environment, and society. A wide range of methodological approaches are required to ensure all aspects of the transition are covered, however, historically the differences in a mixed methods approach across disciplines has made this whole-system approach difficult to achieve. The need for interdisciplinary and transdisciplinary approaches has been recognised as vital to tackling the world’s current global environmental challenges, with the decarbonisation of energy systems one such challenge (Sovacool et al., 2015). The ESE framework outlined in this paper reflects the broad range of approaches that can be taken to evaluate energy scenarios in terms of their sustainability and public acceptability. In assessing how different methods can be used to complement each other, this paper has explored practical ways in which decision-makers can use multiple methods to evaluate transformative changes to an energy system.

As countries across the world transition to low carbon economies, new energy infrastructure will need to be constructed, and a strategy employing multiple research methods will be needed to achieve the objectives of the SDGs including: GHG reductions, low financial cost, environmental protection, job creation and public acceptance. This paper shows how multiple methods can be used together to improve integrated approaches for assessing energy scenarios considering impacts at different spatial scales. Overall, we propose the ESE framework can be used to support decision-makers evaluating the financial, environmental, political and social feasibility of energy scenarios, thereby contributing to the pursuit of realistic, deliverable and sustainable decarbonisation goals.

Appendix

See Appendix Table A.1.

Table A.1. Overview of suggested methods and how they apply to the framework.

MethodDescriptionFramework application*
Spatial optimisationThe ADVENT-NEV (Delafield et al., unpublished) and BECCS optimisation models (Donnison et al., 2020) use spatial optimisation techniques to identify the least cost locations for new solar farms, wind farms, bioenergy power stations and/or BECCS. These models optimise both market (e.g. construction and opportunity costs) and non-market costs (e.g. visual impact and carbon sequestration) to determine the financially or socially optimal spatial distribution of energy infrastructure.Image 1 Image 2
Random forestThe random forest potential (RFP) probability surfaces developed by (Dunnett et al., unpublished) identify where new solar and wind farms are most likely to be located in the future based upon existing locations of energy infrastructure and environmental impacts including biodiversity. The model was developed using existing locations of wind turbines and solar panels identified with OpenStreetMap in Dunnett et al. (2020).Image 1 Image 2
Inferential logistic regressionLogistic regression can be inferentially used to show where infrastructure is more or less likely to be accepted based upon historical planning acceptance (Roddis et al., 2018). Trends in planning acceptance is an indicator of how communities feel about energy developments and therefore can be analysed to consider how acceptable energy scenarios might be in terms of deployment ‘on the ground’.Image 1 Image 4
Regional box modelA regional box model is being developed to assess the location and quantity of land available for BECCS globally (Ball et al., unpublished). The model considers how the availability and suitability of land for BECCS is driven by a range of factors, including food system efficiency, dietary trends and sustainable governance. The model can determine the global sustainability implications of importing biomass from specific countries by combining metrics for environmental governance and political stability.Image 2
Viewshed analysisThe visual impact of an energy scenario can be assessed using viewshed analysis: a Geographic Information System technique which calculates the area (i.e. viewshed) where an object is visible, taking into account the height of the object and the intervening terrain (Carver and Markieta, 2012Wen et al., 2018). Viewshed analysis can be applied at local or national scales to estimate the visual impact of different low carbon energy scenarios.Image 2
Data mining and machine learning algorithmsBy estimating traffic flows for any given point on the road network, air pollution across the UK at a street level can follow. Sfyridis and Agnolucci (2020) have developed a model to estimate traffic volumes on a street segment level using a hybrid clustering-regression approach, while the follow up research by Sfyridis and Agnolucci (2021) determines the spatial distribution of GHGs and air pollutants using a probabilistic classification-regression model. The model estimates air pollution using assumptions from the COPERT model (Ntziachristos et al., 2009). Traffic flows are estimated using: traffic count points from the UK’s Department for Transport, the K-prototypes clustering algorithm, and random forests, OLS and support vector regression.Image 2
Panel regression analysisAgnolucci and Arvanitopoulos (2019) have developed a method to assess how emissions from the manufacturing sector have changed over time using panel regression analysis. This information can be used to check whether the elasticities estimated by Agnolucci and Arvanitopoulos (2019) and Agnolucci et al. (2017) can be used to calibrate the economic models that generate energy scenarios.Image 2 Image 3
OPerating Emissions ModelThe operating emissions model (OPEM) is a deterministic model developed to project operating emissions through a series of different conventionally fuelled vehicles and electric vehicles integration scenarios. Input data for this model can incorporate different energy scenarios. The OPEM is a simple model and easy to manipulate and comparable and is easier to use when comparing countries (Logan et al., 2020a, 2020b, 2020c, 2021).Image 2 Image 3
Life cycle analysis (LCA)LCA can provide an insight into the environmental implications of a shift to low-carbon electricity supply by considering the manufacturing and material life of energy technologies (Hertwich et al., 2015). Stamford and Azapagic (2014) provides an example of applying LCA to a UK energy scenario.Image 2
Vector Auto- regressive ModelAn empirical methodology, based on econometric methodology such as Vector Autoregressive Model (VAR), can be used to quantify the potential employment impact from the deployment of renewable energy technologies (Arvanitopoulos and Agnolucci, 2020). This method can, therefore, be used to estimate the expected number of jobs generated (or lost) related to a specific energy scenario.Image 5
Regression analysis of public attitudesA regression model using data from the UK Government’s Energy and Climate Change Public Attitudes Tracker (PAT) was developed to understand the drivers of positive and negative attitudes towards energy technologies (Roddis et al., 2019). The results of this regression model and other similar analyses of public attitudes could be used to gain insight into how different UK low carbon energy scenarios may be regarded by the public on a national scale.Image 4
Balance sheet approachThe Balance Sheet Approach (BSA) can be used to build an evidence base to support decision-making. The framework provides an approach to collect, analyse and present data which considers the distributional impacts of the costs and benefits of an intervention (Turner, 2016Turner et al., 2014).Image 4 Image 2 Image 5

* 

Image 1

 depicts methods which relate to where energy infrastructure will be located, 

Image 2

 relates to natural environment impacts, 

Image 3

 sectoral impacts, 

Image 4

 public opinion and 

Image 5

 employment.

References