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Renewable Electricity and Economic Growth relationship in the long run: panel data econometric evidence from the OECD

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  • Saptorshee Kanto Chakraborty

    (Paris School of Economics)

  • Massimiliano Mazzanti

    (University of Ferrara; SEEDS, Italy)

Abstract

Renewable electricity is a pillar of the sustainability transition being pursued through climate and energy policy strategies, and the European Green Deal represents a potential investment plan for this new phase of development. Economic growth can be inƒfluenced by the expansion of renewable electricity consumption, but the nature of their relationship is ambiguous and depends on various economic and policy factors. Th‘is paper investigates the long-run relationship between renewable electricity consumption and economic growth in selected countries over the period 1971-2015 using econometric panel data techniques that specifi€cally address cross-country heterogeneity and cross-sectional dependence. Our fi€ndings suggest that, on average, there is a signi€cant positive long-term relationship between renewable electricity consumption and economic growth, although Granger causality is not detected. Regarding causality, we do fi€nd per capita economic growth to be a causal factor for total electricity consumption.

Suggested Citation

  • Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2021. "Renewable Electricity and Economic Growth relationship in the long run: panel data econometric evidence from the OECD," SEEDS Working Papers 0421, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Apr 2021.
  • Handle: RePEc:srt:wpaper:0421
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    1. Mario Pianta & Matteo Lucchese & Leopoldo Nascia, 2020. "The policy space for a novel industrial policy in Europe [‘Rethinking industrial policy,’]," Industrial and Corporate Change, Oxford University Press, vol. 29(3), pages 779-795.
    2. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2016. "Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors," Advances in Econometrics, in: Gloria GonzÁlez-Rivera & R. Carter Hill & Tae-Hwy Lee (ed.), Essays in Honor of Aman Ullah, volume 36, pages 85-135, Emerald Publishing Ltd.
    3. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016. "Exponent of Cross‐Sectional Dependence: Estimation and Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
    4. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
    5. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William Kerr, 2016. "Transition to Clean Technology," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 52-104.
    6. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    7. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    8. Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Do sovereign wealth funds dampen the negative effects of commodity price volatility?," Journal of Commodity Markets, Elsevier, vol. 8(C), pages 18-27.
    9. Martin, Ralf & de Preux, Laure B. & Wagner, Ulrich J., 2014. "The impact of a carbon tax on manufacturing: Evidence from microdata," Journal of Public Economics, Elsevier, vol. 117(C), pages 1-14.
    10. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    11. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2013. "Debt, inflation and growth robust estimation of long-run effects in dynamic panel data models," Globalization Institute Working Papers 162, Federal Reserve Bank of Dallas.
    12. Robert K. Perrons & Adam B. Jaffe & Trinh Le, 2020. "Tracing the Linkages Between Scientific Research and Energy Innovations: A Comparison of Clean and Dirty Technologies," NBER Working Papers 27777, National Bureau of Economic Research, Inc.
    13. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    14. Kapetanios, George & Mitchell, James & Shin, Yongcheol, 2014. "A nonlinear panel data model of cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 179(2), pages 134-157.
    15. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    16. Ralf Martin & Mirabelle Mu?ls & Laure B. de Preux & Ulrich J. Wagner, 2014. "Industry Compensation under Relocation Risk: A Firm-Level Analysis of the EU Emissions Trading Scheme," American Economic Review, American Economic Association, vol. 104(8), pages 2482-2508, August.
    17. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    18. Luciano Lopez & Sylvain Weber, 2017. "Testing for Granger causality in panel data," Stata Journal, StataCorp LP, vol. 17(4), pages 972-984, December.
    19. Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2019. "Modelling the Green Knowledge Production Function with Latent Group Structures for OECD countries," SEEDS Working Papers 0719, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2019.
    20. Pesaran, M. Hashem & Smith, Ron P., 2014. "Signs of impact effects in time series regression models," Economics Letters, Elsevier, vol. 122(2), pages 150-153.
    21. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    22. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    23. Geoffrey Heal, 2020. "Economic Aspects of the Energy Transition," NBER Working Papers 27766, National Bureau of Economic Research, Inc.
    24. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    25. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    26. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    27. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
    28. Quah, Danny, 1994. "Exploiting cross-section variation for unit root inference in dynamic data," Economics Letters, Elsevier, vol. 44(1-2), pages 9-19.
    29. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    30. Nicholas Apergis & Oguzhan Dincer & James E. Payne, 2014. "Economic Freedom And Income Inequality Revisited: Evidence From A Panel Error Correction Model," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 67-75, January.
    31. Joseph Stiglitz & Amartya Sen & Jean-Paul Fitoussi, 2009. "The measurement of economic performance and social progress revisited: Reflections and Overview," Sciences Po publications 2009-33, Sciences Po.
    32. Raphael Calel, 2020. "Adopt or Innovate: Understanding Technological Responses to Cap-and-Trade," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 170-201, August.
    33. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "The effect of electricity consumption from renewable sources on countries׳ economic growth levels: Evidence from advanced, emerging and developing economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 166-173.
    34. Carlota Perez, 2010. "Technological revolutions and techno-economic paradigms," Cambridge Journal of Economics, Oxford University Press, vol. 34(1), pages 185-202, January.
    35. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    36. 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.
    37. Mazzanti, Massimiliano & Rizzo, Ugo, 2017. "Diversely moving towards a green economy: Techno-organisational decarbonisation trajectories and environmental policy in EU sectors," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 111-116.
    38. Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
    39. Mario Pianta & Matteo Lucchese, 2020. "Rethinking the European Green Deal," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(4), pages 633-641, December.
    40. Joakim Westerlund & Jörg Breitung, 2013. "Lessons from a Decade of IPS and LLC," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 547-591, August.
    41. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    42. Calel, Raphael, 2020. "Adopt or innovate: understanding technological responses to cap-and-trade," LSE Research Online Documents on Economics 106257, London School of Economics and Political Science, LSE Library.
    43. repec:spo:wpecon:info:hdl:2441/5l6uh8ogmqildh09h4687h53k is not listed on IDEAS
    44. Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2020. "Carbon taxes and trade spillovers within Europe," SEEDS Working Papers 0420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Apr 2020.
    45. Sandro Montresor & Francesco Quatraro, 2020. "Green technologies and Smart Specialisation Strategies: a European patent-based analysis of the intertwining of technological relatedness and key enabling technologies," Regional Studies, Taylor & Francis Journals, vol. 54(10), pages 1354-1365, October.
    46. Damiaan Persyn & Joakim Westerlund, 2008. "Error-correction–based cointegration tests for panel data," Stata Journal, StataCorp LP, vol. 8(2), pages 232-241, June.
    47. Pesaran, M Hashem, 1997. "The Role of Economic Theory in Modelling the Long Run," Economic Journal, Royal Economic Society, vol. 107(440), pages 178-191, January.
    48. Michael E. Porter & Scott Stern, 2000. "Measuring the "Ideas" Production Function: Evidence from International Patent Output," NBER Working Papers 7891, National Bureau of Economic Research, Inc.
    49. Lucchese, Matteo & Pianta, Mario, 2020. "Europe’s alternative: a Green Industrial Policy for sustainability and convergence," MPRA Paper 98705, University Library of Munich, Germany.
    50. Joseph E. Stiglitz & Amartya Sen & Jean-Paul Fitoussi, 2009. "The measurement of economic performance and social progress revisited," Documents de Travail de l'OFCE 2009-33, Observatoire Francais des Conjonctures Economiques (OFCE).
    51. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980, November.
    52. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    53. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    54. Marius-Corneliu Marinaș & Marin Dinu & Aura-Gabriela Socol & Cristian Socol, 2018. "Renewable energy consumption and economic growth. Causality relationship in Central and Eastern European countries," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-29, October.
    55. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    56. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Keywords

    Electricity Consumption; Economic Growth; Renewables; Cross-sectional Dependence; CS-ARDL Model; CS-DL Model;
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