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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Citations
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Cited by:
- Gao, Lan & Wang, Jing, 2025. "Can artificial intelligence reduce energy vulnerability? Evidence from an international perspective," Energy Economics, Elsevier, vol. 145(C).
- Shanwen Gu & Adil Javed, 2025. "Artificial Intelligence Adoption and Role of Energy Structure, Infrastructure, Financial Inclusions, and Carbon Emissions: Quantile Analysis of E-7 Nations," Sustainability, MDPI, vol. 17(13), pages 1-25, June.
- Jiang, Guohai & Chen, Fuzhong & Gu, Mengyi, 2025. "Supply chain digitization and energy resilience: Evidence from China," Energy Economics, Elsevier, vol. 144(C).
- Jie Yan & Hailing Wang, 2025. "Does the Development of Digital Finance Enhance Urban Energy Resilience? Evidence from Machine Learning," Sustainability, MDPI, vol. 17(14), pages 1-25, July.
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; ; ; ; ;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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