Dynamic interplay of energy uncertainty, supply chain disruption, and digital transformation on China's renewable energy stocks
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...
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Veröffentlicht in: | Energy economics 2025-01, Vol.141, p.108127, Article 108127 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
•Supply chain pressure increases renewable energy stock returns by 0.035 %.•Energy uncertainty and digitalization increase renewable energy stock returns by 0.117 % and 1.222 % respectively.•The short-term results are consistent with long-term effects.•Granger causality analysis indicates a bidirectional causal relationship between all key factors. |
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ISSN: | 0140-9883 |
DOI: | 10.1016/j.eneco.2024.108127 |