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Global Climate Risk Perception and Its Dynamic Impact on the Clean Energy Market: New Evidence from Contemporaneous and Lagged R 2 Decomposition Connectivity Approaches

Author

Listed:
  • Dan Yi

    (School of Economics & Management, Changsha University of Science & Technology, Changsha 410114, China)

  • Sheng Lin

    (School of Economics & Management, Changsha University of Science & Technology, Changsha 410114, China)

  • Jianlan Yang

    (Economic College, Hunan Agricultural University, Changsha 410125, China)

Abstract

The acceleration of global climate change presents unprecedented challenges to market stability and sustainable social development. Understanding how market dynamics are impacted by perceptions of climate risk is essential to creating risk management plans that work. Current research frequently concentrates on static evaluations of how climate risk is perceived, ignoring its dynamic influence on clean energy markets and the intricate channels via which these risks spread. To examine the dynamic influence of climate risk perceptions on clean energy markets, this study builds a spillover network model. We determine the main risk transmission pathways and their temporal variations by looking at changes in market connection over time. Our results demonstrate that climate risk perceptions have a substantial direct and indirect impact on the volatility of clean energy markets. Specifically, the ‘Risk Concern Index (GCTC and GCPC) → Clean Energy Market Index → Climate Policy Uncertainty Index (CPU) → Risk Indices (GCTRI and GCPRI)’ pathway highlights how public and policymaker concerns about climate risk significantly influence market behavior and overall dynamics. Furthermore, the dynamic analysis demonstrates that market spillovers are significantly amplified by economic and geopolitical events, highlighting the necessity of taking external shocks into account when designing policies. This study offers fresh perspectives on how climate risk perception affects clean energy markets, serves as a useful resource for investors and policymakers, and encourages the creation of robust risk management plans and market mechanisms.

Suggested Citation

  • Dan Yi & Sheng Lin & Jianlan Yang, 2025. "Global Climate Risk Perception and Its Dynamic Impact on the Clean Energy Market: New Evidence from Contemporaneous and Lagged R 2 Decomposition Connectivity Approaches," Sustainability, MDPI, vol. 17(8), pages 1-29, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3596-:d:1635984
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    as
    1. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    2. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    3. Gong, Xu & Liao, Qin, 2024. "Physical climate risk attention and dynamic volatility connectedness among new energy stocks," Energy Economics, Elsevier, vol. 136(C).
    4. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    5. repec:hal:spmain:info:hdl:2441/61ih2qtadc8g1894enmudd2f09 is not listed on IDEAS
    6. Guo, Kun & Li, Yichong & Zhang, Yunhan & Ji, Qiang & Zhao, Wanli, 2023. "How are climate risk shocks connected to agricultural markets?," Journal of Commodity Markets, Elsevier, vol. 32(C).
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Ottonelli, Janaina & Lazaro, Lira Luz Benites & Andrade, José Célio Silveira & Abram, Simone, 2023. "Do solar photovoltaic clean development mechanism projects contribute to sustainable development in Latin America? Prospects for the Paris Agreement," Energy Policy, Elsevier, vol. 174(C).
    9. Mohammed, Kamel Si & Obeid, Hassan & Oueslati, Karim & Kaabia, Olfa, 2023. "Investor sentiments, economic policy uncertainty, US interest rates, and financial assets: Examining their interdependence over time," Finance Research Letters, Elsevier, vol. 57(C).
    10. Ren, Xiaohang & Xiao, Ya & Duan, Kun & Urquhart, Andrew, 2024. "Spillover effects between fossil energy and green markets: Evidence from informational inefficiency," Energy Economics, Elsevier, vol. 131(C).
    11. Gabauer, David & Chatziantoniou, Ioannis & Stenfors, Alexis, 2023. "Model-free connectedness measures," Finance Research Letters, Elsevier, vol. 54(C).
    12. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    13. Dutta, Anupam & Bouri, Elie & Rothovius, Timo & Uddin, Gazi Salah, 2023. "Climate risk and green investments: New evidence," Energy, Elsevier, vol. 265(C).
    14. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
    15. Shen, Yiran & Sun, Xiaolei & Ji, Qiang & Zhang, Dayong, 2023. "Climate events matter in the global natural gas market," Energy Economics, Elsevier, vol. 125(C).
    16. Seleshi G. Yalew & Michelle T. H. van Vliet & David E. H. J. Gernaat & Fulco Ludwig & Ariel Miara & Chan Park & Edward Byers & Enrica De Cian & Franziska Piontek & Gokul Iyer & Ioanna Mouratiadou & Ja, 2020. "Impacts of climate change on energy systems in global and regional scenarios," Nature Energy, Nature, vol. 5(10), pages 794-802, October.
    17. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
    18. Luis Ángel Meneses Cerón & Aaron van Klyton & Albano Rojas & Jefferson Muñoz, 2024. "Climate Risk and Its Impact on the Cost of Capital—A Systematic Literature Review," Sustainability, MDPI, vol. 16(23), pages 1-21, December.
    19. A. T. D. Perera & Vahid M. Nik & Deliang Chen & Jean-Louis Scartezzini & Tianzhen Hong, 2020. "Quantifying the impacts of climate change and extreme climate events on energy systems," Nature Energy, Nature, vol. 5(2), pages 150-159, February.
    20. Iyke, Bernard Njindan, 2024. "Climate change, energy security risk, and clean energy investment," Energy Economics, Elsevier, vol. 129(C).
    21. repec:spo:wpmain:info:hdl:2441/61ih2qtadc8g1894enmudd2f09 is not listed on IDEAS
    22. Nordhaus, William D, 1977. "Economic Growth and Climate: The Carbon Dioxide Problem," American Economic Review, American Economic Association, vol. 67(1), pages 341-346, February.
    23. Lee, Chien-Chiang & Wang, Tianhui, 2024. "The impact of renewable energy policies on the energy transition -– An empirical analysis of Chinese cities," Energy Economics, Elsevier, vol. 138(C).
    24. Dong, Feng & Li, Zhicheng & Huang, Zihuang & Liu, Yu, 2024. "Extreme weather, policy uncertainty, and risk spillovers between energy, financial, and carbon markets," Energy Economics, Elsevier, vol. 137(C).
    25. Lee, Chi-Chuan & Song, Hepeng & An, Jiafu, 2024. "The impact of green finance on energy transition: Does climate risk matter?," Energy Economics, Elsevier, vol. 129(C).
    26. 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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