Changing trends of the elasticity of China's carbon emission intensity to industry structure and energy efficiency
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- Cheng, WeiJin & Ming, Kai & Ullah, Mirzat, 2024. "Oil price volatility prediction using out-of-sample analysis – Prediction efficiency of individual models, combination methods, and machine learning based shrinkage methods," Energy, Elsevier, vol. 300(C).
- Weidong Chen & Dongli Li & Quanling Cai & Kaisheng Di & Caiping Liu & Mingxing Wang, 2024. "What influences the performance of carbon emissions in China?—Research on the inter-provincial carbon emissions’ conditional configuration impacts," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-26, April.
- Zhao, Congyu & Dong, Kangyin & Jiang, Hong-Dian & Wang, Kun & Dong, Xiucheng, 2023. "How does energy poverty eradication realize the path to carbon unlocking? The case of China," Energy Economics, Elsevier, vol. 121(C).
- Li, Jiawei & Qiu, Zhiyi & Wei, Fangqing & Liang, Jingwei, 2025. "Regional CO2 emission efficiency in China and configurational paths for improvement," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
- Zhong, Mei-Rui & Cao, Meng-Yuan & Zou, Han, 2022. "The carbon reduction effect of ICT: A perspective of factor substitution," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
- Dongsheng Yan & Pingxing Li, 2023. "Can Regional Integration Reduce Urban Carbon Emission? An Empirical Study Based on the Yangtze River Delta, China," IJERPH, MDPI, vol. 20(2), pages 1-25, January.
- Decun Wu & Jinping Liu, 2020. "Spatial and Temporal Evaluation of Ecological Footprint Intensity of Jiangsu Province at the County-Level Scale," IJERPH, MDPI, vol. 17(21), pages 1-23, October.
- Haisen Wang & Gangqiang Yang & Ziyang Yue, 2023. "Breaking through ingrained beliefs: revisiting the impact of the digital economy on carbon emissions," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
- Li, Rongrong & Han, Xinyu & Wang, Qiang, 2023. "Do technical differences lead to a widening gap in China's regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
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- Wang, Shan & Chen, Haiqian & Yu, Donghua, 2025. "How robot application empowers industrial low-carbon development: A study based on the perspective of carbon reduction and efficiency enhancement," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
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