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Does Increasing Environmental Policy Stringency Enhance Renewable Energy Consumption in OECD Countries?

Author

Listed:
  • Mahmoud Hassan

    (BSE - Bordeaux Sciences Economiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Marc Kouzez

    (ICN Business School, CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Ji-Yong Lee

    (Audencia Business School)

  • Badreddine Msolli

    (ESSCA - Ecole Supérieure des Sciences Commerciales d'Angers)

  • Hatem Rjiba

    (PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

The literature lacks enough evidence on the effect of environmental policy stringency on renewable energy consumption. Therefore, the main objective of this study is to investigate the causal effect of the revised version of the Environmental Policy Stringency Index (EPS) and its components on Renewable Energy Consumption (REC), taking into account environmental innovation, trade openness, economic growth and consumer price index. To this end, we carry out dynamic and static analyses of the yearly data of 32 OECD countries during the period from 1990 to 2019. The two-step system GMM estimator and the forward-orthogonal deviations-GMM technique are used to deal with the potential endogeneity, serial correlation and cross-sectional dependence in the dynamic regression, while the Driscoll-Kraay standard errors technique and quantile regression are employed to estimate the static model. Unlike the existing literature, our results reveal that increasing environmental policy stringency can promote renewable energy. Both market and non-market-based environmental policies and technical support policies show positive effects on green energy use. These results imply that OECD governments can play a vital role in achieving the goal of net zero CO2 emissions by 2050. Increasing the stringency of the policies that put a price on pollution (such as energy taxes) raises the cost of polluted energy use, leading to a shift toward clean energy under the substitution effect. In addition, increasing the public R&D expenditure on solar and wind energy technologies can reduce renewable energy costs and prices, thus facilitating its generation and diffusion.

Suggested Citation

  • Mahmoud Hassan & Marc Kouzez & Ji-Yong Lee & Badreddine Msolli & Hatem Rjiba, 2024. "Does Increasing Environmental Policy Stringency Enhance Renewable Energy Consumption in OECD Countries?," Post-Print hal-04350282, HAL.
  • Handle: RePEc:hal:journl:hal-04350282
    DOI: 10.1016/j.eneco.2023.107198
    Note: View the original document on HAL open archive server: https://hal.science/hal-04350282
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    References listed on IDEAS

    as
    1. Benoît Chèze, Julien Chevallier, Nicolas Berghmans, and Emilie Alberola, 2020. "On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 153-184.
    2. Menegaki, Angeliki N., 2011. "Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis," Energy Economics, Elsevier, vol. 33(2), pages 257-263, March.
    3. Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Zhang, Mingming & Zhang, Shichang & Lee, Chien-Chiang & Zhou, Dequn, 2021. "Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling," Energy Economics, Elsevier, vol. 104(C).
    6. Hájek, Miroslav & Zimmermannová, Jarmila & Helman, Karel & Rozenský, Ladislav, 2019. "Analysis of carbon tax efficiency in energy industries of selected EU countries," Energy Policy, Elsevier, vol. 134(C).
    7. Marra, Alessandro & Colantonio, Emiliano, 2021. "The path to renewable energy consumption in the European Union through drivers and barriers: A panel vector autoregressive approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    8. Orr, Lloyd, 1976. "Incentive for Innovation as the Basis for Effluent Charge Strategy," American Economic Review, American Economic Association, vol. 66(2), pages 441-447, May.
    9. Martin Neil & Norman Fenton & Magda Osman & David Lagnado, 2021. "Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment," Journal of Risk Research, Taylor & Francis Journals, vol. 24(5), pages 617-621, May.
    10. Khan, Zeeshan & Ali, Shahid & Dong, Kangyin & Li, Rita Yi Man, 2021. "How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital," Energy Economics, Elsevier, vol. 94(C).
    11. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    12. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    13. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    14. Destek, Mehmet Akif & Aslan, Alper, 2017. "Renewable and non-renewable energy consumption and economic growth in emerging economies: Evidence from bootstrap panel causality," Renewable Energy, Elsevier, vol. 111(C), pages 757-763.
    15. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    16. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    17. Amuakwa-Mensah, Franklin & Näsström, Elin, 2022. "Role of banking sector performance in renewable energy consumption," Applied Energy, Elsevier, vol. 306(PB).
    18. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    19. Somoye, Oluwatoyin Abidemi & Ozdeser, Huseyin & Seraj, Mehdi, 2022. "Modeling the determinants of renewable energy consumption in Nigeria: Evidence from Autoregressive Distributed Lagged in error correction approach," Renewable Energy, Elsevier, vol. 190(C), pages 606-616.
    20. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    21. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    22. Menz, Fredric C. & Vachon, Stephan, 2006. "The effectiveness of different policy regimes for promoting wind power: Experiences from the states," Energy Policy, Elsevier, vol. 34(14), pages 1786-1796, September.
    23. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    24. Benoît Chèze & Julien Chevallier & Nicolas Berghmans & Emilie Alberola, 2020. "On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data," Post-Print halshs-04250245, HAL.
    25. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo, 2020. "Heterogeneous impacts of regulatory policy stringency on the EU electricity Industry:A Bayesian shrinkage dynamic analysis," Energy Policy, Elsevier, vol. 142(C).
    26. Fischer, Carolyn & Parry, Ian W. H. & Pizer, William A., 2003. "Instrument choice for environmental protection when technological innovation is endogenous," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 523-545, May.
    27. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    28. Mahmoud Hassan & Damien Rousselière, 2022. "Does increasing environmental policy stringency lead to accelerated environmental innovation? A research note," Applied Economics, Taylor & Francis Journals, vol. 54(17), pages 1989-1998, April.
    29. Alam, Md. Mahmudul & Murad, Md. Wahid, 2020. "The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries," Renewable Energy, Elsevier, vol. 145(C), pages 382-390.
    30. Hans-Werner Sinn, 2008. "Public policies against global warming: a supply side approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(4), pages 360-394, August.
    31. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2023. "Fossil fuels subsidy removal and the EU carbon neutrality policy," Energy Economics, Elsevier, vol. 119(C).
    32. Bae, Hyunhoe & Yu, Sanguk, 2018. "Information and coercive regulation: The impact of fuel mix information disclosure on states’ adoption of renewable energy policy," Energy Policy, Elsevier, vol. 117(C), pages 151-159.
    33. Liu, Ying & Lin, Boqiang & Xu, Bin, 2021. "Modeling the impact of energy abundance on economic growth and CO2 emissions by quantile regression: Evidence from China," Energy, Elsevier, vol. 227(C).
    34. Musson, Anne & Rousselière, Damien, 2020. "Identifying the impact of crisis on cooperative capital constraint. A short note on French craftsmen cooperatives," Finance Research Letters, Elsevier, vol. 35(C).
    35. Bashir, Muhammad Farhan & MA, Benjiang & Shahbaz, Muhammad & Shahzad, Umer & Vo, Xuan Vinh, 2021. "Unveiling the heterogeneous impacts of environmental taxes on energy consumption and energy intensity: Empirical evidence from OECD countries," Energy, Elsevier, vol. 226(C).
    36. Downing, Paul B. & White, Lawrence J., 1986. "Innovation in pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 13(1), pages 18-29, March.
    37. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    38. Can Şener, Şerife Elif & Sharp, Julia L. & Anctil, Annick, 2018. "Factors impacting diverging paths of renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2335-2342.
    39. Hassan, Mahmoud & Oueslati, Walid & Rousselière, Damien, 2020. "Environmental taxes, reforms and economic growth: an empirical analysis of panel data," Economic Systems, Elsevier, vol. 44(3).
    40. Koengkan, Matheus, 2018. "The positive impact of trade openness on consumption of energy: Fresh evidence from Andean community countries," Energy, Elsevier, vol. 158(C), pages 936-943.
    41. Karavias, Yiannis & Tzavalis, Elias, 2014. "Testing for unit roots in short panels allowing for a structural break," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 391-407.
    42. Bourcet, Clémence, 2020. "Empirical determinants of renewable energy deployment: A systematic literature review," Energy Economics, Elsevier, vol. 85(C).
    43. Bharati, Rakesh & Jia, Jingyi, 2018. "Do bank CEOs really increase risk in vega? Evidence from a dynamic panel GMM specification," Journal of Economics and Business, Elsevier, vol. 99(C), pages 39-53.
    44. Muhammad Farhan Bashir & Benjiang MA & Muhammad Adnan Bashir & Magdalena Radulescu & Umer Shahzad, 2022. "Investigating the role of environmental taxes and regulations for renewable energy consumption: evidence from developed economies," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 1262-1284, December.
    45. Wang, Qiang & Zhang, Chen & Li, Rongrong, 2022. "Towards carbon neutrality by improving carbon efficiency - A system-GMM dynamic panel analysis for 131 countries’ carbon efficiency," Energy, Elsevier, vol. 258(C).
    46. Benoit Chèze & Julien Chevallier & Nicolas Berghmans & Emilie Alberola, 2020. "On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data," The Energy Journal, , vol. 41(4), pages 153-184, July.
    47. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    48. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    49. Trotta, Gianluca & Hansen, Anders Rhiger & Sommer, Stephan, 2022. "The price elasticity of residential district heating demand: New evidence from a dynamic panel approach," Energy Economics, Elsevier, vol. 112(C).
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