Coalition Cascades: The Politics of Tipping Points in Clean Energy Transitions

by Jonas Meckling & Nicholas Goedeking

Recent scholarship on policy change has devoted increased attention to change across subsystems – the passage of new healthcare legislation, for example, will change not only health policy, but will also impact labor policy and tax policy (among other domains). The means by which trans-subsystem policy change occurs, however, are not clearly defined. 

We look at the role of policy feedback in bringing about trans-subsystem policy change. Specifically, we argue that trans-subsystem policy feedback can result in what we call “coalition cascades”. Coalition cascades represent a kind of domino effect, whereby a policy change that happens within one subsystem can alter coalitions across subsystems, by bringing together actors already inside a subsystem, introducing new actors into a subsystem, and/or moving actors into other subsystems. If policy feedback is positive, these coalition cascades can bring about trans-subsystem policy change by solving coordination challenges that are often part and parcel of making policy change that cuts across policy subsystems. Conversely, negative policy feedback may only partially fix these coordination challenges, if at all.

Figure 1. Coalition cascades

We apply our model to California’s clean energy transition. In 2002, California adopted a renewable portfolio standard (RPS) that required investor-owned utilities (IOUs) to derive a specific percentage of their energy from renewable sources. The next decade and a half saw positive policy feedback as the RPS was expanded upon and gained greater popular support. Even IOUs, which had initially opposed an RPS, gradually turned in favor, resulting in a coalition that was able to repel efforts to roll back California’s renewable energy initiatives, such as Proposition 23 in 2010.

The adoption and subsequent expansion of the RPS, however, also challenged the capacity of the state’s energy grid. Energy storage eventually crystallized as the solution. New storage startups emerged to meet this demand, and a coalition of storage companies formed the California Energy Storage Alliance in 2009 to advocate on behalf of energy storage interests. Storage companies, in league with environmental groups, lobbied state lawmakers for rules requiring energy companies to store a percentage of their load. This effort initially met with opposition from utilities, but by 2013 the state had adopted a storage mandate. 

Figure 2. Storage mandate

In addition to transforming the state’s energy grid, California’s renewables initiatives also had implications for passenger vehicles. In 2009, state legislators and regulators began exploring how to roll out charging infrastructure to support widespread electric vehicle ownership. One issue that emerged was whether utilities would be involved in setting up this infrastructure. A coalition of utilities and environmental groups were in favor, while charging companies and ratepayers organizations were opposed, fearing the market power of utilities. Eventually, however, it became clear that utilities were essential for a state-wide build-out of charging infrastructure, and as a result both ratepayer groups and charging companies shifted their stance. Beginning in 2014-15, utilities became major players in the electric vehicle subsystem.

Figure 3. Utility charging programs.

The evolution of California’s renewable energy policies offers an excellent illustration of the relationship between policy feedback and trans-subsystem policy change. First, we see how policy feedback surrounding the adoption of an RPS changed the coalition supporting renewables by bringing utilities on board. Then we identify spillover effects as more ambitious renewables policies triggered changes in both grid policy (through the adoption of storage technology to manage load intermittency) and transportation policy (through the creation of a charging infrastructure to encourage electric vehicles). In both cases, changes in policy – and the ways those changes were received – shifted coalitional makeups. 

We studied coalition cascades in the context of California’s energy policies, but expect that the dynamics we observed are present across a wide array of policy domains. Our model offers greater insight into how policy change can have ripple effects across multiple domains. Specifically, it shows that how a policy change is received – whether positively or negatively, and by whom – can shift the coalitions for or against specific sets of policies, thus either encouraging or inhibiting additional policy change. In our case study, policy feedback was largely positive, resulting in policy change across multiple subsystems. Additional work is needed to look at examples of negative feedback. 

You can read the original article in Policy Studies Journal at

Meckling, Jonas and Nicholas Goedeking. 2023. “ Coalition Cascades: The Politics of Tipping Points in Clean Energy Transitions.” Policy Studies Journal 51(4): 715–739. https://doi.org/10.1111/psj.12507.

About the Authors

Jonas Meckling is Associate Professor of Energy and Environmental Policy at the University of California, Berkeley, and Climate Fellow at Harvard Business School. He studies the politics of climate policy and the energy transition. He received multiple awards for his research, including the American Political Science Association’s Emerging Young Scholar Award in the field of science, technology, and environmental politics. At Berkeley, he leads the Energy and Environment Policy Lab and the Climate Program of the Berkeley Economy and Society Initiative. Previously, he was a visiting professor at Yale University, served as Senior Advisor to the German Minister for the Environment and Renewable Energy, was a Research Fellow at Harvard University, and worked at the European Commission. 

Nicholas Goedeking is Senior Researcher at the German Institute of Development and Sustainability (IDOS) and Visiting Fellow at the University of Sussex Business School. His work examines the political economy of climate policy and sustainability transitions. He is particularly interested in urban climate governance and the politics of low-carbon infrastructure systems. Before his doctorate, Nicholas worked on energy efficiency policy in Berlin and Brussels, including for the European Commission. He holds a Ph.D. in Environmental Science, Policy, and Management from the University of California, Berkeley. 

Policy Feedback via Economic Behavior: A Model and Experimental Analysis of Consumption Behavior

by Gregory S. Schober

Policy feedback scholars have done extensive work to understand how public policies affect mass behavior (the feed) and subsequent policy outcomes (the back). Thus far, this literature has focused mainly on political behavior feeds. However, the impact of these policies extends beyond the realm of politics, influencing the economic behavior of individuals and, in turn, shaping future policy outcomes.

In my paper, I develop a policy feedback model of consumption behavior in mass publics. Illustrated in Figure 1, the model shows how policies influence consumption capacity and preferences, which in turn affect future policy decisions. For example, social assistance policies transfer resources to beneficiaries, thus altering their spending decisions and influencing government policy responses (see path A-C-F-H).

I use this theory to investigate how targeted cash assistance policies (TCAPs) influence not just the immediate consumption patterns but also the subsequent policies. To do this, I analyzed the effects of Progresa—a Mexican TCAP that aimed to reduce poverty—by utilizing data collected during a randomized field experiment. I performed downstream analysis on the data to estimate the effects of Progresa.

In the short term, Progresa positively influenced private consumption of basic utilities. When households received the cash transfers, they used them to purchase private access to drainage (via septic tanks). However, in the medium term, a startling shift occurred. In communities where Progresa was implemented and private access to drainage increased, the government began making less of an effort to maintain the public water system.

My work offers key insights into the complex relationship between short-term consumption changes and (unintended) medium-term policy outcomes. It emphasizes that while consumption effects did occur swiftly, leading to increased private access to drainage, the subsequent impact on government policy ultimately led to reductions in basic utility access.

An intriguing question arises when considering the medium-term results: are targeted cash assistance policies—which generally are administered at the national level—letting local governments off the hook in terms of basic utility provision? When program beneficiaries use cash transfers to invest in private access to basic utilities, they in turn may be disincentivizing local governments from investing in public utility systems.

The implications of this study reverberate across various domains of policy feedback research. It highlights the need to broaden the scope of policy feedback analysis beyond political spheres to include economic mechanisms. These findings prompt further exploration into how economic feeds could influence future political behavior and policy outcomes.

In conclusion, this research breaks new ground by unraveling the ripple effects of social assistance policies, shedding light on how they influence consumption patterns and government policies regarding basic utilities. Understanding these intricate dynamics between policy, consumption behavior, and subsequent governance decisions is crucial for designing effective, holistic policies that address poverty while ensuring sustained access to essential services for vulnerable populations.

You can read the original article in Policy Studies Journal at

Schober, Gregory S. 2023. “Policy feedback via economic behavior: A model and experimental analysis of consumption behavior.” Policy Studies Journal 51: 607–627. https://doi.org/10.1111/psj.12474.

About the Author

Gregory S. Schober is an Assistant Professor in the Rehabilitation Sciences Program at The University of Texas at El Paso. His research examines social policy, political and economic behavior, and health in developing countries and the United States.