Can artificial intelligence technology innovation boost energy resilience? The role of green finance
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DOI: 10.1016/j.eneco.2024.108159
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- Zhao, Na & Chen, Wenjiang, 2025. "How can artificial intelligence adoption enhance manufacturing firms' green management capability?," Finance Research Letters, Elsevier, vol. 81(C).
- Gao, Lan & Wang, Jing, 2025. "Can artificial intelligence reduce energy vulnerability? Evidence from an international perspective," Energy Economics, Elsevier, vol. 145(C).
- Song, Yuegang & Zhu, Miaomiao & Du, Chongmiao & Zhou, Xuming, 2025. "Can innovation-driven policies enhance Chinese cities’ energy security?," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 858-879.
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- Wei, Tie & Yalikun, Tuerhong & Duan, Zhicheng & Yao, Xiao, 2025. "Regional disparities and variation sources decomposition of energy system resilience in China," Energy, Elsevier, vol. 330(C).
- Jiang, Guohai & Chen, Fuzhong & Gu, Mengyi, 2025. "Supply chain digitization and energy resilience: Evidence from China," Energy Economics, Elsevier, vol. 144(C).
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Keywords
; ; ; ; ;JEL classification:
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
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