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Investigating the effect of green finance initiatives on renewable energy penetration in Europe

Author

Listed:
  • Szendrei, Tibor
  • Eross, Andrea
  • Mohammed, Mustapha
  • Ersoy, Erkal

Abstract

As climate change becomes an ever-present problem, efforts have been made to make energy generation greener. One key tool to encourage renewable energy generation are feed-in-tariff policies, which have been employed in various countries across Europe. Using quarterly data, this study investigates the impact these policies had on the greening of the economy, on carbon emissions and on macroeconomic factors in European countries for the period 2011-2021. To achieve this, an energy augmented production function is postulated and estimated using a Bayesian Global VAR framework. We find a large degree of heterogeneity in the impact of feed-in-tariffs have on renewable energy penetration across the countries. Furthermore, negative externalities of simultaneous employment of green finance is found, highlighting that some coordination might be necessary to maximise the impact of such policies in achieving the goal of a greener energy profile.

Suggested Citation

  • Szendrei, Tibor & Eross, Andrea & Mohammed, Mustapha & Ersoy, Erkal, 2024. "Investigating the effect of green finance initiatives on renewable energy penetration in Europe," Accountancy, Economics, and Finance Working Papers 2024-07, Heriot-Watt University, Department of Accountancy, Economics, and Finance.
  • Handle: RePEc:zbw:hwuaef:299236
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    References listed on IDEAS

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    1. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    2. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    3. Akan, Taner, 2023. "Can renewable energy mitigate the impacts of inflation and policy interest on climate change?," Renewable Energy, Elsevier, vol. 214(C), pages 255-289.
    4. repec:hal:spmain:info:hdl:2441/2vteelu0n785l82j764n6ul273 is not listed on IDEAS
    5. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
    6. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    7. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
    8. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    9. Ewa Dziwok & Johannes Jäger, 2021. "A Classification of Different Approaches to Green Finance and Green Monetary Policy," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    10. Marin, Giovanni & Vona, Francesco, 2019. "Climate policies and skill-biased employment dynamics: Evidence from EU countries," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    11. Alexander Chudik & M. Hashem Pesaran, 2013. "Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 592-649, August.
    12. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    13. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    14. Bercegol, Hervé & Benisty, Henri, 2022. "An energy-based macroeconomic model validated by global historical series since 1820," Ecological Economics, Elsevier, vol. 192(C).
    15. Kastner, Gregor, 2016. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i05).
    16. Smith, L. Vanessa & Yamagata, Takashi, 2011. "Firm level return–volatility analysis using dynamic panels," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 847-867.
    17. McWilliams, Ben & Sgaravatti, Giovanni & Tagliapietra, Simone & Zachmann, Georg, 2023. "How would the European Union fare without Russian energy?," Energy Policy, Elsevier, vol. 174(C).
    18. Keen, Steve & Ayres, Robert U. & Standish, Russell, 2019. "A Note on the Role of Energy in Production," Ecological Economics, Elsevier, vol. 157(C), pages 40-46.
    19. Burriel, Pablo & Galesi, Alessandro, 2018. "Uncovering the heterogeneous effects of ECB unconventional monetary policies across euro area countries," European Economic Review, Elsevier, vol. 101(C), pages 210-229.
    20. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    21. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    22. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    23. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    24. Florian Egli & Bjarne Steffen & Tobias S. Schmidt, 2018. "A dynamic analysis of financing conditions for renewable energy technologies," Nature Energy, Nature, vol. 3(12), pages 1084-1092, December.
    25. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    26. Böhringer, Christoph & Cuntz, Alexander & Harhoff, Dietmar & Asane-Otoo, Emmanuel, 2017. "The impact of the German feed-in tariff scheme on innovation: Evidence based on patent filings in renewable energy technologies," Energy Economics, Elsevier, vol. 67(C), pages 545-553.
    27. Kamil Makieła & Błażej Mazur & Jakub Głowacki, 2022. "The Impact of Renewable Energy Supply on Economic Growth and Productivity," Energies, MDPI, vol. 15(13), pages 1-13, June.
    28. Anneleen Vandeplas & Istvan Vanyolos & Mauro Vigani & Lukas Vogel, 2022. "The Possible Implications of the Green Transition for the EU Labour Market," European Economy - Discussion Papers 176, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
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    More about this item

    Keywords

    Bayesian Global VAR; Energy policy; Feed-in-tariff; GIRF; renewable energy; spillover effects;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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