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Modeling Consumer and Industry Reaction to Renewable Support Schemes: Empirical Evidence from the USA and Applications for Russia

Author

Listed:
  • Svetlana Balashova

    (Faculty of Economics, RUDN University, Russia,)

  • Svetlana Ratner

    (Faculty of Economics, RUDN University, Russia,)

  • Konstantin Gomonov

    (Faculty of Economics, RUDN University, Russia,)

  • Andrey Berezin

    (Faculty of Economics, RUDN University, Russia,)

Abstract

In this work, we simulate the impact of some government support measures on the development of small-scale power generation based on photovoltaics (PV). Models constructed based on the data on the development of PV in three states of the USA, - Alaska, Pennsylvania and Washington - the climatic and infrastructural conditions in which are close to the conditions of the Russian regions included in a single energy system. Analyzing the share of electricity payments in the structure of income/expenses of the population of Russia and the United States, we prove that the constructed models are applicable to Russian conditions, but only after the enactment of the law on micro-generation and the adoption of relevant amendments to the tax code.

Suggested Citation

  • Svetlana Balashova & Svetlana Ratner & Konstantin Gomonov & Andrey Berezin, 2020. "Modeling Consumer and Industry Reaction to Renewable Support Schemes: Empirical Evidence from the USA and Applications for Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 158-167.
    • Handle: RePEc:eco:journ2:2020-03-19
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    References listed on IDEAS

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    Cited by:

    1. Valeriy V. Iosifov & Pavel D. Ratner, 2022. "Strengths and Weaknesses of the Russian Concept for the Development of Production and Use of Electric Vehicles Until 2030," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 40-46.
    2. Iosifov Valeriy Victorovich & Evgenii Yu. Khrustalev & Sergey N. Larin & Oleg E. Khrustalev, 2021. "The Linear Programming Problem of Regional Energy System Optimization," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 281-288.
    3. Svetlana Balashova & Apostolos Serletis, 2021. "Oil Price Uncertainty, Globalization, and Total Factor Productivity: Evidence from the European Union," Energies, MDPI, vol. 14(12), pages 1-11, June.
    4. Svetlana Ratner & Konstantin Gomonov & Inna Lazanyuk & Svetlana Revinova, 2021. "Barriers and Drivers for Circular Economy 2.0 on the Firm Level: Russian Case," Sustainability, MDPI, vol. 13(19), pages 1-24, October.

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    More about this item

    Keywords

    Renewable Energy Sources Support Programs; Microgeneration; Photovoltaics-Installations; Econometric Modeling;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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