The marginal and double threshold effects of regional innovation on energy consumption structure: Evidence from resource-based regions in China
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DOI: 10.1016/j.enpol.2019.04.034
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- Tao, Weiliang & Weng, Shimei & Chen, Xueli & ALHussan, Fawaz Baddar & Song, Malin, 2024. "Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China," Energy Economics, Elsevier, vol. 136(C).
- Asante, Dennis & He, Zheng & Adjei, Nana Osae & Asante, Bismark, 2020. "Exploring the barriers to renewable energy adoption utilising MULTIMOORA- EDAS method," Energy Policy, Elsevier, vol. 142(C).
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- Ye, Jiangfeng & Wan, Qunchao & Li, Ruida & Yao, Zhu & Huang, Dujuan, 2022. "How do R&D agglomeration and economic policy uncertainty affect the innovative performance of Chinese high-tech industry?," Technology in Society, Elsevier, vol. 69(C).
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- Liu, Yunqiang & Liu, Sha & Shao, Xiaoyu & He, Yanqiu, 2022. "Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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Keywords
Energy consumption structure; Regional innovation; Marginal effect; Double thresholds;All these keywords.
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