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PublicationArticle (with peer review)

Government support to renewable energy R&D: drivers and strategic interactions among EU Member States

Abstract

Although the climate challenge requires proactive policies that spur innovation in the renewable energy sector, various countries commit vastly different levels of support for renewable energy R&D. This paper addresses the question why this may be the case. Specifically, the objective is to analyse the determinants of government support to renewable energy R&D in the European Union (EU), and, in doing this, we devote particular attention to the question of whether the level of this support tends to converge or diverge across EU Member States. The investigation relies on a data set of 12 EU Member States and a bias-corrected dynamic panel data estimator. We test for the presence of conditional β-convergence, and the impacts of energy dependence and electricity regulation on government R&D efforts. The findings display divergence in terms of government support to renewable energy R&D, and this result is robust across various model specifications and key assumptions. The analysis also indicates that countries with a low energy-import dependence and deregulated electricity markets tend to experience lower growth rates in government renewable energy R&D. The paper ends by discussing some implications of the results, primarily from an EU perspective.

The article can be accessed here.

Grafström, J., Söderholm, P., Gawel, E., Lehmann, P., & Strunz, S. (2023). Government support to renewable energy R&D: drivers and strategic interactions among EU Member States. Economics of Innovation and New Technology, 32(1), 1-24.

Details

Author
Grafström, J., Söderholm, P., Gawel, E., Lehmann, P., & Strunz, S.
Publication year
2023
Published in

Economics of Innovation and New Technology, 32(1), 1-24.

Related

  • Ph.D. and vice CEO

    Jonas Grafström

    +46703475854jonas.grafstrom@ratio.se

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Article (with peer review)

Barriers to circularity in the metals industry: an analytical framework of feedback and lock-in effects

Grafström, J., Poelzer, G., & Pettersson, J.
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Publication year

2025

Published in

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Abstract

The metals sector faces multiple and interconnected barriers to achieving circularity. This study examines steel, aluminum, and copper to illustrate how challenges vary between metals. While copper can often be recycled without quality loss, steel and aluminum face alloy-related limitations that drive downcycling and quality degradation. Using a matrix-based analytical framework, the study maps the interactions between economic, technological, institutional, and social constraints, distinguishing between primary drivers, secondary effects, feedback loops, and lock-in mechanisms. The results show strong reinforcing links between economic, technological, and institutional domains, with social factors playing a more indirect role. These findings align with observed industry patterns while adding a structured, quantitative perspective. By clarifying how different barriers combine and reinforce one another, the analysis identifies priority areas for intervention to advance metals recycling and support the transition toward a more circular economy.

Working paper

Working Paper No. 387 Time as a Structural Barrier for a Circular Economy

Jonas Grafström
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Publication year

2025

Published in

Ratio Working Paper Series.

Abstract

Circular economy debates often acknowledge material lifespans and delays, but time is usually treated as a contextual issue rather than a structural barrier. The contribution is to reframe circular economy transitions as intertemporal processes by treating time as an endogenous structural barrier. A framework is developed that classifies goods into short-, medium-, and long-lived categories, demonstrating how lagged inflows and valuation biases suppress aggregate circularity even when technology improves. By making temporal mechanisms explicit, the analysis explains why indicators remain stagnant despite policy and efficiency gains. The contribution is to introduce time as an endogenous barrier, integrating insights from environmental and resource economics into circular economy theory and showing how delayed substitution shapes both firm investment and policy outcomes.

Working paper

Working Paper No. 385 The workload paradox: Will AIreduce academic labor?

Jonas Grafström
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Publication year

2025

Published in

Ratio Working Paper Series.

Abstract

Artificial intelligence is reshaping academia, but instead of liberating scholars, AI might keep them running faster just to stay in place. This paper theoretically explores how AI increases institutional expectations rather than reducing workload. Using a formal workload model, the study examines how automation affects academic tasks, revealing that while AI streamlines some processes, it also creates new responsibilities in research, publishing, and administration. A case study illustrates how scholars experience rising pressures to verify AI-generated work, adapt to changing publication norms, and meet intensifying institutional demands. The findings suggest that AI’s role in academia is not one only of simplification, but acceleration—a race where efficiency gains are quickly absorbed, where the pursuit of academic excellence becomes ever more demanding, and where scholars must continuously push forward, not to advance, but merely to avoid falling behind.

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