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The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations

Citations

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Cited by:

  1. Jingjing Qu & Xiaohong Liu & Baohui Wang, 2025. "Efficiency analysis of China’s energy utilization system based on the robust network DEA-Malmquist productivity index with common weights," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 1041-1069, January.
  2. Xu Guo & Lin Fu & Xiaohua Sun, 2021. "Can Environmental Regulations Promote Greenhouse Gas Abatement in OECD Countries? Command-and-Control vs. Market-Based Policies," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
  3. Pata, Ugur Korkut & Yilanci, Veli & Zhang, Qianxiao & Shah, Syed Ale Raza, 2022. "Does financial development promote renewable energy consumption in the USA? Evidence from the Fourier-wavelet quantile causality test," Renewable Energy, Elsevier, vol. 196(C), pages 432-443.
  4. Chenyu Lu & Peng Meng & Xueyan Zhao & Lu Jiang & Zilong Zhang & Bing Xue, 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
  5. Chen, Jiandong & Gao, Ming & Shahbaz, Muhammad & Cheng, Shulei & Song, Malin, 2021. "An improved decomposition approach toward energy rebound effects in China: Review since 1992," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
  6. Anastasia Salnikova & Yuri Chepurko & Nadezhda Starkova & Hi?n Nguy?n Ho ng, 2019. "External Effects of Renewable Energy Projects: Life Cycle Analysis-based Approach," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 9(4), pages 256-262.
  7. Huang, Junbing & Xiang, Shiqi & Wu, Panling & Chen, Xiang, 2022. "How to control China's energy consumption through technological progress: A spatial heterogeneous investigation," Energy, Elsevier, vol. 238(PC).
  8. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
  9. Han, Hongyun & Zhou, Zinan, 2024. "The rebound effect of energy consumption and its determinants in China's agricultural production," Energy, Elsevier, vol. 290(C).
  10. Yu, Jian & Cai, Xuanye & Ji, Xinliang & Liang, Longyue & Yang, Jizhao, 2025. "Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China," Energy, Elsevier, vol. 334(C).
  11. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
  12. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(C).
  13. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
  14. Ruyin Long & Qin Zhang & Hong Chen & Meifen Wu & Qianwen Li, 2020. "Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors," IJERPH, MDPI, vol. 17(1), pages 1-21, January.
  15. Dinara Kh. Gallyamova & Marina V. Shinkevich, 2022. "Forecasting the Energy Capacity of Petrochemical Productions Under Conditions of Technological Transformations," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 12(1), pages 200-206.
  16. Huang, Junbing & Lai, Yali & Wang, Yajun & Hao, Yu, 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective," Energy, Elsevier, vol. 213(C).
  17. Xingwei Li & Yicheng Huang & Xiangxue Li & Xiang Liu & Jingru Li & Jinrong He & Jiachi Dai, 2022. "How does the Belt and Road policy affect the level of green development? A quasi-natural experimental study considering the CO2 emission intensity of construction enterprises," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
  18. Huang, Junbing & Chen, Xiang, 2020. "Domestic R&D activities, technology absorption ability, and energy intensity in China," Energy Policy, Elsevier, vol. 138(C).
  19. Yunlong Cheng & Jian Yang, 2023. "Spatial and Temporal Divergence in the Coupling Coordination of Digital Economy, Environmental Regulation and Sustainable Development: An Experience Study in China," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
  20. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
  21. Balado-Naves, Roberto & Baños-Pino, José Francisco & Mayor, Matías, 2023. "Spatial spillovers and world energy intensity convergence," Energy Economics, Elsevier, vol. 124(C).
  22. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
  23. Yuanxin Peng & Zhuo Chen & Jay Lee, 2020. "Dynamic Convergence of Green Total Factor Productivity in Chinese Cities," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
  24. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
  25. Shuxing Chen & Xiangyang Du & Junbing Huang & Cheng Huang, 2019. "The Impact of Foreign and Indigenous Innovations on the Energy Intensity of China’s Industries," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
  26. Zhang, Ping & Shi, XunPeng & Sun, YongPing & Cui, Jingbo & Shao, Shuai, 2019. "Have China's provinces achieved their targets of energy intensity reduction? Reassessment based on nighttime lighting data," Energy Policy, Elsevier, vol. 128(C), pages 276-283.
  27. Zhou, Jingyu & Liu, Weibai, 2024. "Carbon Reduction Effects of Digital Technology Transformation: Evidence from the Listed Manufacturing Firms in China," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  28. Huang, Junbing & Cai, Xiaochen & Huang, Shuo & Tian, Sen & Lei, Hongyan, 2019. "Technological factors and total factor productivity in China: Evidence based on a panel threshold model," China Economic Review, Elsevier, vol. 54(C), pages 271-285.
  29. Béchir Ben Lahouel & Younes Ben Zaied & Guo-liang Yang & Maria-Giuseppina Bruna & Yaoyao Song, 2022. "A non-parametric decomposition of the environmental performance-income relationship: evidence from a non-linear model," Annals of Operations Research, Springer, vol. 313(1), pages 525-558, June.
  30. Aparicio, Juan & Santín, Daniel, 2024. "Global and local technical changes: A new decomposition of the Malmquist productivity index using virtual units," Economic Modelling, Elsevier, vol. 134(C).
  31. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
  32. Wu, Jianxin & Wu, Yanrui & Se Cheong, Tsun & Yu, Yanni, 2018. "Distribution dynamics of energy intensity in Chinese cities," Applied Energy, Elsevier, vol. 211(C), pages 875-889.
  33. Chen, Xiaoqing & Liu, Xinwang & Zhu, Qingyuan, 2022. "Comparative analysis of total factor productivity in China's high-tech industries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  34. Xiaoying Xu & Xinxin Tian, 2023. "Dynamic Evolution and Trend Prediction in Coupling Coordination between Energy Consumption and Green Development in China," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
  35. Huang, Junbing & Chen, Xiang & Cai, Xiaochen & Zou, Hong, 2021. "Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model," Energy, Elsevier, vol. 218(C).
  36. Bin Zhang & Minmin Ma & Yung-ho Chiu, 2024. "Considering the impact of geographic location and climate on China’s environmental efficiency based on a meta dynamic non-radial DDF," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 7903-7926, March.
  37. Zhao, Pengjun & Zeng, Liangen & Li, Peilin & Lu, Haiyan & Hu, Haoyu & Li, Chengming & Zheng, Mengyuan & Li, Haitao & Yu, Zhao & Yuan, Dandan & Xie, Jinxin & Huang, Qi & Qi, Yuting, 2022. "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, Elsevier, vol. 238(PC).
  38. Yulan Lv & Wei Chen & Jianquan Cheng, 2019. "Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis," Sustainability, MDPI, vol. 11(11), pages 1-20, June.
  39. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
  40. Hu, Changshuai & Du, Dan & Huang, Junbing, 2023. "The driving effect of energy demand evolution: From the perspective of heterogeneity in technology," Energy, Elsevier, vol. 275(C).
  41. Phi-Hung Nguyen & Thi-Ly Nguyen & Hong-Quan Le & Thuy-Quynh Pham & Hoang-Anh Nguyen & Chi-Vinh Pham, 2023. "How Does the Competitiveness Index Promote Foreign Direct Investment at the Provincial Level in Vietnam? An Integrated Grey Delphi–DEA Model Approach," Mathematics, MDPI, vol. 11(6), pages 1-30, March.
  42. 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).
  43. Hongxu Guo & Zihan Xie & Rong Wu, 2021. "Evaluating Green Innovation Efficiency and Its Socioeconomic Factors Using a Slack-Based Measure with Environmental Undesirable Outputs," IJERPH, MDPI, vol. 18(24), pages 1-20, December.
  44. Jorge Flores-Chamba & Michelle López-Sánchez & Pablo Ponce & Patricia Guerrero-Riofrío & José Álvarez-García, 2019. "Economic and Spatial Determinants of Energy Consumption in the European Union," Energies, MDPI, vol. 12(21), pages 1-15, October.
  45. Hui, Wang & Xin-gang, Zhao & Ling-zhi, Ren & Ji-cheng, Fan & Fan, Lu, 2021. "The impact of technological progress on energy intensity in China (2005–2016): Evidence from a geographically and temporally weighted regression model," Energy, Elsevier, vol. 226(C).
  46. 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).
  47. Wu, Shu & Ding, Song, 2021. "Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector," Energy Economics, Elsevier, vol. 99(C).
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