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Dynamic interplay of energy uncertainty, supply chain disruption, and digital transformation on China's renewable energy stocks

Minglu Wang, Kexin Ouyang and Peng Jing

Energy Economics, 2025, vol. 141, issue C

Abstract: This study examines the dynamic influence of supply chain pressures, energy uncertainty, and digitalization on the returns of renewable energy stocks (RESR) in China. Using a dynamic autoregressive distributed lag (ARDL) model with monthly data from 2002 to 2021, the study finds that in the long run, supply chain pressures increase RESR by 0.035 %, while energy uncertainty and digitalization contribute positively by 0.117 % and 1.222 %, respectively. Short-run results are consistent with these long-run effects. Granger causality analysis shows a two-way causal relationship among all key factors. The findings suggest that strengthening supply chains and advancing digital transformation can enhance the stock performance of renewable energy companies in China.

Keywords: Supply chain disruptions; Digitalization; Energy uncertainty; China; Renewable energy stocks (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:141:y:2025:i:c:s0140988324008363

DOI: 10.1016/j.eneco.2024.108127

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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