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The Role of Advocacy Coalitions in Shaping the Technological Innovation Systems: The Case of the Russian Renewable Energy Policy

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  • Tatiana Nevzorova

    (Industrial Economics and Management, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden
    Research Laboratory of University Development Problems, Ural Federal University named after the First President of Russia B. N. Yeltsin, 620002 Ekaterinburg, Russia)

  • Vladimir Kutcherov

    (Department of Physics, Gubkin Russian State University of Oil and Gas (National Research University), 119991 Moscow, Russia)

Abstract

Many hydrocarbon-rich countries have recognized the global shift towards renewable energy sources, and Russia is not an exception. Drawing on two strands of literature—technological innovation systems and the advocacy coalition framework—we investigate the roles of actors and coalitions in shaping the Russian renewable energy policy and explore why particular renewable energy sources have progressed more than others, and what the main reasons are for their sudden development. The results show that the more successful renewable energy industries are those that were promoted by influential actors from traditional energy industries. Moreover, these actors also promoted the specific design of support schemes for renewable energy policy in Russia. We discuss the importance of policy process theories for understanding energy transition studies and provide specific policy recommendations for policy creation in the renewables industry.

Suggested Citation

  • Tatiana Nevzorova & Vladimir Kutcherov, 2021. "The Role of Advocacy Coalitions in Shaping the Technological Innovation Systems: The Case of the Russian Renewable Energy Policy," Energies, MDPI, vol. 14(21), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6941-:d:662084
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    References listed on IDEAS

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    Cited by:

    1. Sergey Zhironkin & Fares Abu-Abed & Elena Dotsenko, 2023. "The Development of Renewable Energy in Mineral Resource Clusters—The Case of the Siberian Federal District," Energies, MDPI, vol. 16(9), pages 1-28, April.
    2. Nikita Dmitrievich Senchilo & Denis Anatolievich Ustinov, 2021. "Method for Determining the Optimal Capacity of Energy Storage Systems with a Long-Term Forecast of Power Consumption," Energies, MDPI, vol. 14(21), pages 1-25, October.

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