Does policy design matter for the effectiveness of local content requirements? A qualitative comparative analysis of renewable energy value chains

Governments around the world use local content requirements (LCR) to boost domestic industries by requiring renewable energy projects to use a certain share of locally-made components. The idea is simple: create jobs and build local supply chains. But the results have been mixed—some countries became major exporters of wind and solar technology, while others struggled. This article asks: Does the way these rules are designed explain why they succeed in some places and fail in others? To find out, the author uses Qualitative Comparative Analysis (QCA) to look for patterns in how different policy features and economic conditions combine to produce success.

Hypotheses

The author tests three hypotheses:

  1. Policies work best when countries already have strong technological capabilities.
  2. Combining LCR with other tools (e.g., financial incentives, renewable energy targets) helps in tougher economic environments.
  3. No single factor guarantees success; it’s about the right mix of design and context.

Methodology

The author analyze 27 LCR policies in wind and solar energy across 19 countries from 1995 to 2017, using fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover patterns. The research examines how policy design elements (e.g., restrictiveness, policy mixes, and targets) interact with the political economy (e.g., investment conditions, economic complexity). Success was measured by whether a country’s exports of wind and solar components grew four years after introducing LCR. The analysis looks for combinations of conditions that consistently led to positive outcomes rather than a one-size-fits-all solution.

Key Findings

Flexibility or Strong Capabilities Are Essential

Figure 1 shows that either a flexible LCR design or a country’s high economic complexity must be present for a policy to be successful. While countries with advanced technology sectors can handle stricter rules without harming investment, those with limited capabilities need more lenient requirements to attract investment. This finding supports Hypothesis 1, demonstrating that there is no universal approach—what works in China or Spain may fail in India or Argentina. The author therefore argues that successful policies must be tailored to local conditions and political-economic contexts.

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Figure 1. XY-Plot of the necessity relation between (C1 or C5) and LCR Effectiveness.

Policy Bundles Make a Difference

In countries with weaker investment conditions or limited technological capacity, LCR only worked when paired with financial incentives or renewable energy targets (Table 1). These extra measures help attract investors and signal future demand, giving local industries time to grow. This finding supports Hypothesis 2, underscoring the role of strategic policy bundling for green industrial success. Furthermore, the author explains, while simple rules can work in supportive environments, complex policy mixes are essential in challenging one.

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Table 1. Sufficient conjunctural patterns of policy design elements and contextual factors for LCR policy effectiveness.

Why It Matters

This article reveals that smart policy design matters. LCR effectiveness depends on tailoring rules to local conditions and, when needed, combining them with other supportive policies. This research challenges the idea of universal design principles and shows that success comes from the right mix of tools and context. Future studies should explore how these patterns apply in other sectors and dig deeper into why some policies fail. Scholars could also improve data on granular design features like technology transfer requirements. For policymakers, the message is clear: design green industrial policies with flexibility, consider context, and do not rely on a single instrument.

Read the original article in Policy Studies Journal:

Eicke, Laima. 2025. “Does Policy Design Matter For the Effectiveness of Local Content Requirements? A Qualitative Comparative Analysis of Renewable Energy Value Chains.” Policy Studies Journal 53(3): 604–617. https://doi.org/10.1111/psj.12590.

About the Article’s Author

Laima Eicke is a Research Associate at the Research Institute for Sustainability in Potsdam. Her research focuses on the international political economy of the energy transition, value chains of renewable energy technologies and hydrogen in particular as well as on green industrial policies. She is a former Associate and Research Fellow at the Belfer Center for Science and International Affairs at the Harvard Kennedy School and worked at the German Corporation for International Cooperation (GIZ), the Germany Ministry for International Affairs, NGOs and in consultancy.

A postcode lottery in education? Explaining regional inequality in multilevel systems

Existing research focuses predominantly on inequality among individuals. But inequality also has a territorial dimension. This article seeks to better understand the drivers of regional inequality in education, a key area in modern knowledge-based societies. The article specifically explores the conditions that shape regional differences in student enrolment and educational attainment across 14 OECD countries: Australia, Austria, Belgium, Canada, Denmark, France, Germany, Italy, Norway, Spain, Sweden, Switzerland, the United Kingdom, and the United States. It uses Qualitative Comparative Analysis (QCA) to identify necessary and sufficient conditions of regional inequality.

The article is guided by the strong assumption in the literature on federalism, decentralization, and multilevel governance that regional authority (or, decentralization) is a key driver of regional inequality. Considering that regional authority might not be a direct cause of regional inequality, the article also explores the impact of several other factors; government spending, population size, and socioeconomic status.

More specifically, it examines the following four hypotheses:

  1. Level of Regional Authority: A high level of regional authority over educational policy is a necessary condition for a high level of regional inequality in education.
  2. Expenditures: The combination of a high level of regional authority over education policy and strong regional differences in education spending is a sufficient condition for a high level of regional inequality in education.
  3. Regional Size: The combination of a high level of regional authority over education policy and strong regional differences in population size is a sufficient condition for regional inequality in education.
  4. Socioeconomic Status: Strong regional differences in socioeconomic status are a sufficient condition for a high level of regional inequality in education.

The analysis relies on the OECD Regional Statistics database, which contains internationally comparable regional data on student enrolment and educational attainment. To measure regional authority over education, the article uses the Regional Education Authority Index developed by Garritzmann et al. (2021).

This study offers insights into how educational outcomes, and in turn opportunity and quality of life, can vary greatly across regions in any given nation (see Figures 1 and 2).

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Figure 1. Regional differences in enrolment in upper secondary education; data: OECD Regional Statistics, Statistics Norway, Statistics Sweden, Swedish National Agency for Education, Federal Statistical Office (Switzerland).

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Figure 2. Regional differences in attainment of upper secondary education; data: OECD Regional Statistics, Statistics Norway, Statistics Sweden.

Regarding the drivers of these inequalities, the analyses in the article show that regional authority over education is not a necessary condition for high regional inequality, as enrolment rates vary across regions in Austria and educational attainment varies in France despite low regional authority over education in both countries. Regional authority is also not an individually sufficient condition. However, it seems to be an important factor, as it is part of all configurations associated with high levels of regional inequality in educational attainment and student enrolment:

  • Educational Attainment: (1) A high degree of regional authority over education and strong regional spending differences. (2) A high degree of regional authority over education and strong differences in regional population size.
  • Student Enrolment: (1) A high level of regional authority over education, strong regional spending differences, and strong regional differences in population size.

Because the inclusion of Belgium might undermine the robustness of these findings due to data issues and the low number of regions, analyses were also run without Belgium. These confirmed that regional authority over education is an important factor, in combination with others.

In conclusion, the article demonstrates that regional authority over education plays an essential role in shaping educational inequality–but is not the only factor.

Read the original article in Policy Studies Journal:

Schnabel, Johanna. 2025. “A Postcode Lottery in Education? Explaining Regional Inequality in Multilevel Systems.” Policy Studies Journal 53(2): 263–284. https://doi.org/10.1111/psj.12565.

About the Article’s Author

Johanna Schnabel is a Lecturer and Researcher at the Chair of German Politics, Otto Suhr Institute of Political Science, Freie Universität Berlin. Her research largely focuses on intergovernmental relations and public policy in federal and decentralized countries. She received her Ph.D. in Political Science at the Institute of Political Studies at the University of Lausanne, Switzerland.