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Empirical analysis on the factors influencing national and regional carbon intensity in China

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Cited by:

  1. Longyu Shi & Fengmei Yang & Lijie Gao, 2020. "The Allocation of Carbon Intensity Reduction Target by 2030 among Cities in China," Energies, MDPI, vol. 13(22), pages 1-14, November.
  2. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
  3. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
  4. Weijie Jiang & Jiaying Dai & Kairui Cao & Laiqun Jin, 2023. "Who Needs to Save Energy and Reduce Emissions? Perspective of Energy Misallocation and Economies of Scale," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
  5. Zaijun Li & Xiang Zheng & Dongqi Sun, 2021. "The Influencing Effects of Industrial Eco-Efficiency on Carbon Emissions in the Yangtze River Delta," Energies, MDPI, vol. 14(23), pages 1-19, December.
  6. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
  7. Zhong, Mei-Rui & Xiao, Shun-Li & Zou, Han & Zhang, Yi-Jun & Song, Yi, 2021. "The effects of technical change on carbon intensity in China’s non-ferrous metal industry," Resources Policy, Elsevier, vol. 73(C).
  8. Jinying Li & Jianfeng Shi & Jinchao Li, 2016. "Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China," Energies, MDPI, vol. 9(8), pages 1-17, August.
  9. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
  10. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
  11. Meng Yang & Yisheng Liu & Jinzhao Tian & Feiyu Cheng & Pengbo Song, 2022. "Dynamic Evolution and Regional Disparity in Carbon Emission Intensity in China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
  12. Jing Wang & Jie Li, 2021. "Exploring the Impact of International Trade on Carbon Emissions: New Evidence from China’s 282 Cities," Sustainability, MDPI, vol. 13(16), pages 1-12, August.
  13. Gui, Shusen & Wu, Chunyou & Qu, Ying & Guo, Lingling, 2017. "Path analysis of factors impacting China's CO2 emission intensity: Viewpoint on energy," Energy Policy, Elsevier, vol. 109(C), pages 650-658.
  14. Zhonghua Cheng & Xiai Shi, 2018. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?," IJERPH, MDPI, vol. 15(10), pages 1-20, October.
  15. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
  16. Jiang, Wei & Sun, Yifei, 2023. "Which is the more important factor of carbon emission, coal consumption or industrial structure?," Energy Policy, Elsevier, vol. 176(C).
  17. Fei Ye & Xinxiu Xie & Li Zhang & Xiaoling Hu, 2018. "An Improved Grey Model and Scenario Analysis for Carbon Intensity Forecasting in the Pearl River Delta Region of China," Energies, MDPI, vol. 11(1), pages 1-16, January.
  18. Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  19. Jiandong Chen & Ming Gao & Ke Ma & Malin Song, 2020. "Different effects of technological progress on China's carbon emissions based on sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 481-492, February.
  20. Huang, Junbing & Liu, Qiang & Cai, Xiaochen & Hao, Yu & Lei, Hongyan, 2018. "The effect of technological factors on China's carbon intensity: New evidence from a panel threshold model," Energy Policy, Elsevier, vol. 115(C), pages 32-42.
  21. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  22. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
  23. Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
  24. Yan, Yu & Huang, Junbing, 2022. "The role of population agglomeration played in China's carbon intensity: A city-level analysis," Energy Economics, Elsevier, vol. 114(C).
  25. Chen, Jiandong & Gao, Ming & Mangla, Sachin Kumar & Song, Malin & Wen, Jie, 2020. "Effects of technological changes on China's carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  26. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
  27. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
  28. Boying Li & Yu Hao & Chun-Ping Chang, 2018. "Does an anticorruption campaign deteriorate environmental quality? Evidence from China," Energy & Environment, , vol. 29(1), pages 67-94, February.
  29. Xin Xu & Yuming Shen & Hanchu Liu, 2022. "What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000–2019," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
  30. Ge, Fei & Ye, Bin & Xing, Shengnan & Wang, Bao & Sun, Shuang, 2017. "The analysis of the underlying reasons of the inconsistent relationship between economic growth and the consumption of electricity in China – A case study of Anhui province," Energy, Elsevier, vol. 128(C), pages 601-608.
  31. Shaozhou Qi & Huarong Peng & Xiujie Tan, 2019. "The Moderating Effect of R&D Investment on Income and Carbon Emissions in China: Direct and Spatial Spillover Insights," Sustainability, MDPI, vol. 11(5), pages 1-19, February.
  32. Tianyi Cai & Degang Yang & Xinhuan Zhang & Fuqiang Xia & Rongwei Wu, 2018. "Study on the Vertical Linkage of Greenhouse Gas Emission Intensity Change of the Animal Husbandry Sector between China and Its Provinces," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
  33. Li, Hao & Zhao, Yuhuan & Qiao, Xiaoyong & Liu, Ya & Cao, Ye & Li, Yue & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Weng, Jianfeng, 2017. "Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models," Energy Economics, Elsevier, vol. 68(C), pages 522-538.
  34. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
  35. Zhang, Wei & Li, Ke & Zhou, Dequn & Zhang, Wenrui & Gao, Hui, 2016. "Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method," Energy Policy, Elsevier, vol. 92(C), pages 369-381.
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