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How Do Global Uncertainties Spillovers Affect Leading Renewable Energy Indices? Evidence from the Network Connectedness Approach

Author

Listed:
  • Mohd Ziaur Rehman

    (Department of Finance, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh 11587, Saudi Arabia)

  • Shabeer Khan

    (College of Business Administration, Al Yamamah University, Riyadh 11587, Saudi Arabia)

  • Uzair Abdullah Khan

    (Department of Business Administration, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Wadi B. Alonazi

    (Health Administration Department, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh 11587, Saudi Arabia)

  • Abul Ala Noman

    (Faculty of Management and Economics, Ruhr University Bochum (RUB), 44801 Bochum, Germany)

Abstract

By using data from 2018 to 2022 and employing quantile VAR time-frequency and quantile VAR spillover models, this study investigates the spillover connectedness between global uncertainties, namely, geopolitical risk, economic policy uncertainty, and climate policy uncertainty, and seven leading global renewable energy indices. The results show strong total connectedness (82.87%) between renewable energy and uncertainty indices. DJRE, R&CE, MSCIEE, WRE_cpu, GEPU_C, and GEPU_P are found to be net receivers, and WRE to be net transmitters of spillovers. Additionally, the MSCIEE sector is the least connected, i.e., 2.51%, followed by the R&CE sector at 4.55%, while the ERE sector is the most connected one, i.e., 65.8%. We discover that the two market-based uncertainties have less impact than economic policy uncertainty (EPU), which has a significant impact. The conclusions have ramifications for decision-makers and investors in the renewable energy markets from the standpoint of sustainable development. The study reveals diversification avenues and recommends that investors consider MSCIEE and R&CE sectors for parking their funds because of lower risk, i.e., less connectivity and greater diversification.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13630-:d:1238209
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    References listed on IDEAS

    as
    1. García-Álvarez, María Teresa & Moreno, Blanca & Soares, Isabel, 2016. "Analyzing the environmental and resource pressures from European energy activity: A comparative study of EU member states," Energy, Elsevier, vol. 115(P2), pages 1375-1384.
    2. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    3. Ehsan Rasoulinezhad & Farhad Taghizadeh-Hesary & Jinsok Sung & Nisit Panthamit, 2020. "Geopolitical Risk and Energy Transition in Russia: Evidence from ARDL Bounds Testing Method," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    4. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    5. Wang, Jiqian & Ma, Feng & Bouri, Elie & Zhong, Juandan, 2022. "Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions," Energy Economics, Elsevier, vol. 108(C).
    6. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    7. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Ugolini, Andrea, 2017. "Wavelet-based test of co-movement and causality between oil and renewable energy stock prices," Energy Economics, Elsevier, vol. 61(C), pages 241-252.
    8. Su, Chi-Wei & Khan, Khalid & Umar, Muhammad & Zhang, Weike, 2021. "Does renewable energy redefine geopolitical risks?," Energy Policy, Elsevier, vol. 158(C).
    9. Bartram, Söhnke M. & Hou, Kewei & Kim, Sehoon, 2022. "Real effects of climate policy: Financial constraints and spillovers," Journal of Financial Economics, Elsevier, vol. 143(2), pages 668-696.
    10. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    11. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    12. 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.
    13. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    14. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    15. Shafiullah, Muhammad & Miah, Mohammad Dulal & Alam, Md Samsul & Atif, Muhammad, 2021. "Does economic policy uncertainty affect renewable energy consumption?," Renewable Energy, Elsevier, vol. 179(C), pages 1500-1521.
    16. Aguirre, Mariana & Ibikunle, Gbenga, 2014. "Determinants of renewable energy growth: A global sample analysis," Energy Policy, Elsevier, vol. 69(C), pages 374-384.
    17. Liu, Jing & Ma, Feng & Tang, Yingkai & Zhang, Yaojie, 2019. "Geopolitical risk and oil volatility: A new insight," Energy Economics, Elsevier, vol. 84(C).
    18. Lundgren, Amanda Ivarsson & Milicevic, Adriana & Uddin, Gazi Salah & Kang, Sang Hoon, 2018. "Connectedness network and dependence structure mechanism in green investments," Energy Economics, Elsevier, vol. 72(C), pages 145-153.
    19. Wen, Huwei & Lee, Chien-Chiang & Zhou, Fengxiu, 2022. "How does fiscal policy uncertainty affect corporate innovation investment? Evidence from China's new energy industry," Energy Economics, Elsevier, vol. 105(C).
    20. Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, vol. 84(C).
    21. Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
    22. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    23. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    24. Chu, Lan Khanh & Ghosh, Sudeshna & Doğan, Buhari & Nguyen, Nam Hoai & Shahbaz, Muhammad, 2023. "Energy security as new determinant of renewable energy: The role of economic complexity in top energy users," Energy, Elsevier, vol. 263(PC).
    25. Hemrit, Wael & Benlagha, Noureddine, 2021. "Does renewable energy index respond to the pandemic uncertainty?," Renewable Energy, Elsevier, vol. 177(C), pages 336-347.
    26. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
    27. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
    28. Sendstad, Lars Hegnes & Chronopoulos, Michail, 2020. "Sequential investment in renewable energy technologies under policy uncertainty," Energy Policy, Elsevier, vol. 137(C).
    29. Payne, James E. & Truong, Huong Hoang Diep & Chu, Lan Khanh & Doğan, Buhari & Ghosh, Sudeshna, 2023. "The effect of economic complexity and energy security on measures of energy efficiency: Evidence from panel quantile analysis," Energy Policy, Elsevier, vol. 177(C).
    30. Zhou, Deheng & Siddik, Abu Bakkar & Guo, Lili & Li, Houjian, 2023. "Dynamic relationship among climate policy uncertainty, oil price and renewable energy consumption—findings from TVP-SV-VAR approach," Renewable Energy, Elsevier, vol. 204(C), pages 722-732.
    31. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
    32. 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.
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