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Is the geopolitical risk an incentive or obstacle to renewable energy deployment? Evidence from a panel analysis

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  • Sweidan, Osama D.

Abstract

This study explores the effect of geopolitical risk on renewable energy deployment, assuming that geopolitical uncertainty stimulates nations to be independent and rely on their renewable energy sources in order to reduce the geopolitical risk concomitant to fossil fuel inflows. The current paper's data sample covers 10 net crude oil importer countries during the period 1985–2017. It employs panel cointegration analysis and estimate an autoregressive distributed lag model. The results show that geopolitical risk has a significant and positive effect on renewable energy diffusion. Therefore, this work determines that it is an incentive, not an obstacle, to renewable energy deployment. The present study's policy implication is that renewable energy development is expected to increase if the geopolitical risk rises, all else being equal.

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  • Sweidan, Osama D., 2021. "Is the geopolitical risk an incentive or obstacle to renewable energy deployment? Evidence from a panel analysis," Renewable Energy, Elsevier, vol. 178(C), pages 377-384.
    • Handle: RePEc:eee:renene:v:178:y:2021:i:c:p:377-384
    DOI: 10.1016/j.renene.2021.06.089
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    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Antonakakis, Nikolaos & Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos, 2017. "Geopolitical risks and the oil-stock nexus over 1899–2016," Finance Research Letters, Elsevier, vol. 23(C), pages 165-173.
    3. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    4. Marques, António C. & Fuinhas, José A. & Pires Manso, J.R., 2010. "Motivations driving renewable energy in European countries: A panel data approach," Energy Policy, Elsevier, vol. 38(11), pages 6877-6885, November.
    5. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    6. Aisen, Ari & Veiga, Francisco José, 2013. "How does political instability affect economic growth?," European Journal of Political Economy, Elsevier, vol. 29(C), pages 151-167.
    7. Pfeiffer, Birte & Mulder, Peter, 2013. "Explaining the diffusion of renewable energy technology in developing countries," Energy Economics, Elsevier, vol. 40(C), pages 285-296.
    8. 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.
    9. Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
    10. Sanya Carley & Elizabeth Baldwin & Lauren M. MacLean & Jennifer N. Brass, 2017. "Global Expansion of Renewable Energy Generation: An Analysis of Policy Instruments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 397-440, October.
    11. Chak Hung Jack Cheng & Ching-Wai (Jeremy) Chiu, 2018. "How important are global geopolitical risks to emerging countries?," International Economics, CEPII research center, issue 156, pages 305-325.
    12. Jaforullah, Mohammad & King, Alan, 2015. "Does the use of renewable energy sources mitigate CO2 emissions? A reassessment of the US evidence," Energy Economics, Elsevier, vol. 49(C), pages 711-717.
    13. Uzar, Umut, 2020. "Political economy of renewable energy: Does institutional quality make a difference in renewable energy consumption?," Renewable Energy, Elsevier, vol. 155(C), pages 591-603.
    14. Bourcet, Clémence, 2020. "Empirical determinants of renewable energy deployment: A systematic literature review," Energy Economics, Elsevier, vol. 85(C).
    15. Selmi, Refk & Bouoiyour, Jamal, 2020. "Arab geopolitics in turmoil: Implications of Qatar-Gulf crisis for business," International Economics, Elsevier, vol. 161(C), pages 100-119.
    16. Jong-A-Pin, Richard, 2009. "On the measurement of political instability and its impact on economic growth," European Journal of Political Economy, Elsevier, vol. 25(1), pages 15-29, March.
    17. Jaroslava Hlouskova & Martin Wagner, 2006. "The Performance of Panel Unit Root and Stationarity Tests: Results from a Large Scale Simulation Study," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 85-116.
    18. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    19. 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.
    20. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    21. Lichao Wu & David C. Broadstock, 2015. "Does economic, financial and institutional development matter for renewable energy consumption? Evidence from emerging economies," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 8(1), pages 20-39.
    22. Darmani, Anna & Arvidsson, Niklas & Hidalgo, Antonio & Albors, Jose., 2014. "What drives the development of renewable energy technologies? Toward a typology for the systemic drivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 834-847.
    23. Cadoret, Isabelle & Padovano, Fabio, 2016. "The political drivers of renewable energies policies," Energy Economics, Elsevier, vol. 56(C), pages 261-269.
    24. Zeb, Raheel & Salar, Laleena & Awan, Usama & Zaman, Khalid & Shahbaz, Muhammad, 2014. "Causal links between renewable energy, environmental degradation and economic growth in selected SAARC countries: Progress towards green economy," Renewable Energy, Elsevier, vol. 71(C), pages 123-132.
    25. Zhao, Yong & Tang, Kam Ki & Wang, Li-li, 2013. "Do renewable electricity policies promote renewable electricity generation? Evidence from panel data," Energy Policy, Elsevier, vol. 62(C), pages 887-897.
    26. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    27. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    28. Mei, Dexiang & Ma, Feng & Liao, Yin & Wang, Lu, 2020. "Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models," Energy Economics, Elsevier, vol. 86(C).
    29. Nicholas Apergis & Sofia Eleftheriou, 2015. "Renewable Energy Consumption, Political And Institutional Factors: Evidence From A Group Of European, Asian And Latin American Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(01), pages 1-19.
    30. Aguirre, Mariana & Ibikunle, Gbenga, 2014. "Determinants of renewable energy growth: A global sample analysis," Energy Policy, Elsevier, vol. 69(C), pages 374-384.
    31. Brunnschweiler, Christa N., 2010. "Finance for renewable energy: an empirical analysis of developing and transition economies," Environment and Development Economics, Cambridge University Press, vol. 15(3), pages 241-274, June.
    32. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    33. Chang, Ting-Huan & Huang, Chien-Ming & Lee, Ming-Chih, 2009. "Threshold effect of the economic growth rate on the renewable energy development from a change in energy price: Evidence from OECD countries," Energy Policy, Elsevier, vol. 37(12), pages 5796-5802, December.
    34. Vakulchuk, Roman & Overland, Indra & Scholten, Daniel, 2020. "Renewable energy and geopolitics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    35. Marques, António Cardoso & Fuinhas, José Alberto, 2011. "Drivers promoting renewable energy: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1601-1608, April.
    36. 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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    3. Zhang, Hongsheng & Liu, Xingang & Hao, Ruijun & Liu, Chengjun & Liu, Yifeng & Duan, Chenghong & Qin, Jiyun, 2022. "Thermodynamic performance study on gas-steam cogeneration systems with different configurations based on condensed waste heat utilization," Energy, Elsevier, vol. 250(C).
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    5. Li, Zheng-Zheng & Meng, Qin & Zhang, Linling & Lobont, Oana-Ramona & Shen, Yijuan, 2023. "How do rare earth prices respond to economic and geopolitical factors?," Resources Policy, Elsevier, vol. 85(PA).
    6. Sweidan, Osama D. & Elbargathi, Khadiga, 2022. "The effect of oil rent on economic development in Saudi Arabia: Comparing the role of globalization and the international geopolitical risk," Resources Policy, Elsevier, vol. 75(C).
    7. Mohd Ziaur Rehman & Shabeer Khan & Uzair Abdullah Khan & Wadi B. Alonazi & Abul Ala Noman, 2023. "How Do Global Uncertainties Spillovers Affect Leading Renewable Energy Indices? Evidence from the Network Connectedness Approach," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    8. Osama D. Sweidan, 2023. "The Effect of Geopolitical Risk on Income Inequality: Evidence from a Panel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 47-66, June.
    9. Floros Flouros & Victoria Pistikou & Vasilios Plakandaras, 2022. "Geopolitical Risk as a Determinant of Renewable Energy Investments," Energies, MDPI, vol. 15(4), pages 1-21, February.
    10. Ferreira, João J. & Gomes, Sofia & Lopes, João M. & Zhang, Justin Z., 2023. "Ticking time bombs: The MENA and SSA regions' geopolitical risks," Resources Policy, Elsevier, vol. 85(PA).
    11. Sweidan, Osama D. & Elbargathi, Khadiga, 2023. "Economic diversification in Saudi Arabia: Comparing the impact of oil prices, geopolitical risk, and government expenditures," International Economics, Elsevier, vol. 175(C), pages 13-24.
    12. Wang, Kai-Hua & Wen, Cui-Ping & Liu, Hong-Wen & Liu, Lu, 2023. "Promotion or hindrance? Exploring the bidirectional causality between geopolitical risk and green bonds from an energy perspective," Resources Policy, Elsevier, vol. 85(PB).
    13. Hille, Erik, 2023. "Europe's energy crisis: Are geopolitical risks in source countries of fossil fuels accelerating the transition to renewable energy?," Energy Economics, Elsevier, vol. 127(PA).
    14. Nguyen, Trang Thi Thuy & Pham, Binh Thai & Sala, Hector, 2022. "Being an emerging economy: To what extent do geopolitical risks hamper technology and FDI inflows?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 728-746.
    15. Lee, Chi-Chuan & Zhang, Jian & Hou, Shanshuai, 2023. "The impact of regional renewable energy development on environmental sustainability in China," Resources Policy, Elsevier, vol. 80(C).
    16. Olanipekun, Ifedolapo Olabisi & Ozkan, Oktay & Olasehinde-Williams, Godwin, 2023. "Is renewable energy use lowering resource-related uncertainties?," Energy, Elsevier, vol. 271(C).

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    Keywords

    Renewable energy spread; Renewable energy incentives; Renewable energy obstacle; Energy policy; Panel analysis;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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