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Public Funding for Energy Innovation and Decarbonization Goals: A Coherence Challenge

Author

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  • Svetlana Ratner

    (Department of Economic and Mathematical Modelling, Peoples Friendship University of Russia (RUDN University), 6 Miklukho- Maklaya Street, Moscow, 117198, Russian Federation; & Economic Dynamics and Innovation Management Laboratory, V. A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, 65 Profsoyuznaya Street, Moscow, 117997, Russian Federation)

  • Konstantin Gomonov

    (Department of Economic and Mathematical Modelling, Peoples Friendship University of Russia (RUDN University), 6 Miklukho- Maklaya Street, Moscow, 117198, Russian Federation,)

  • Svetlana Revinova

    (Department of Economic and Mathematical Modelling, Peoples Friendship University of Russia (RUDN University), 6 Miklukho- Maklaya Street, Moscow, 117198, Russian Federation,)

Abstract

This study is devoted to assessing the impact of public spending on research and development in the field of energy efficient technologies on achieving the goals of decarbonization and improving the energy efficiency of the economy. Using the two-stage Data Envelopment model, the study identifies countries with the highest and lowest efficiency of the national energy efficiency innovation support system. It was revealed that the most noticeable reduction in the carbon intensity and energy intensity of the economy in the medium term is demonstrated by countries that pay more attention to the introduction of organizational and social innovations related to changing consumer behavior (Brazil, Spain). Countries that are accumulating knowledge in radically new technological areas demonstrate the low efficiency of the innovation system at the implementation stage in the medium term (Japan, South Korea, US).

Suggested Citation

  • Svetlana Ratner & Konstantin Gomonov & Svetlana Revinova, 2023. "Public Funding for Energy Innovation and Decarbonization Goals: A Coherence Challenge," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 40-45, July.
    • Handle: RePEc:eco:journ2:2023-04-6
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    References listed on IDEAS

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    Cited by:

    1. Andrey V. Lychev & Svetlana V. Ratner & Vladimir E. Krivonozhko, 2023. "Two-Stage Data Envelopment Analysis Models with Negative System Outputs for the Efficiency Evaluation of Government Financial Policies," Mathematics, MDPI, vol. 11(24), pages 1-21, December.

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    More about this item

    Keywords

    energy innovations; decardonization; energy efficiency; Data Envelopment Analysis; public funding;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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