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Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis

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  1. Yongxi Ma & Lu Zhang & Shixiong Song & Shuao Yu, 2022. "Impacts of Energy Price on Agricultural Production, Energy Consumption, and Carbon Emission in China: A Price Endogenous Partial Equilibrium Model Analysis," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
  2. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
  3. Li, Yonglin & Zuo, Zhili & Cheng, Yue & Cheng, Jinhua & Xu, Deyi, 2023. "Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 80(C).
  4. Azlina Abdullah & Hussain Ali Bekhet, 2019. "Investigating the Driving Forces of Energy Intensity Change in Malaysia 1991-2010: A Structural Decomposition Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 121-130.
  5. 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.
  6. Gregor Semieniuk, 2016. "Fossil energy in economic growth: A study of the energy direction of technical change, 1950-2012," SPRU Working Paper Series 2016-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
  7. Zhang, Chuanguo & Yu, Xiaoxue & Zhou, Juncen, 2024. "China's embodied oil outflow in GVC participation: Patterns and drivers," Resources Policy, Elsevier, vol. 91(C).
  8. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
  9. Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input–output analysis for China: A survey of the literature," Energy Economics, Elsevier, vol. 48(C), pages 81-88.
  10. Yan, Junna & Su, Bin, 2020. "Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives," Energy, Elsevier, vol. 204(C).
  11. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
  12. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
  13. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
  14. Jialing Zou & Weidong Liu & Zhipeng Tang, 2017. "Analysis of Factors Contributing to Changes in Energy Consumption in Tangshan City between 2007 and 2012," Sustainability, MDPI, vol. 9(3), pages 1-14, March.
  15. Yetkiner, Hakan & Berk, Istemi, 2023. "Energy intensity and directed fiscal policy," Economic Systems, Elsevier, vol. 47(2).
  16. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
  17. Román-Collado, Rocío & Colinet, Maria José, 2018. "Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches," Energy Policy, Elsevier, vol. 115(C), pages 409-417.
  18. Wu, Anbing & Chen, Junying & Zhang, Yanyan, 2023. "Natural resources and energy resources prices an answer to energy insecurity? The role of mineral, forest, coal resources and financial development," Resources Policy, Elsevier, vol. 87(PA).
  19. Guo, Jinyu & Ma, Jinji & Li, Zhengqiang & Hong, Jin, 2022. "Building a top-down method based on machine learning for evaluating energy intensity at a fine scale," Energy, Elsevier, vol. 255(C).
  20. 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.
  21. Yang, Zhihao & Hong, Junjie, 2021. "Trade policy uncertainty and energy intensity: Evidence from Chinese industrial firms," Energy Economics, Elsevier, vol. 103(C).
  22. Wang, Jianda & Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2023. "Factors driving aggregate service sector energy intensities in Asia and Eastern Europe: A LMDI analysis," Energy Policy, Elsevier, vol. 172(C).
  23. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
  24. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
  25. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
  26. Song, Yi & Huang, Jianbai & Zhang, Yijun & Wang, Zhiping, 2019. "Drivers of metal consumption in China: An input-output structural decomposition analysis," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
  27. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
  28. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
  29. Wang, Hongxia & Zhang, Junfeng & Fang, Hong, 2017. "Electricity footprint of China’s industrial sectors and its socioeconomic drivers," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 98-106.
  30. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
  31. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
  32. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
  33. Minyoung Jo & Sangyeol Lee, 2021. "On CUSUM test for dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 515-542, June.
  34. Ling Li & Jingjing Li & Ling Tang & Shouyang Wang, 2019. "Balancing Tourism’s Economic Benefit and CO 2 Emissions: An Insight from Input–Output and Tourism Satellite Account Analysis," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
  35. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
  36. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
  37. Hong, Jingke & Li, Clyde Zhengdao & Shen, Qiping & Xue, Fan & Sun, Bingxia & Zheng, Wei, 2017. "An Overview of the driving forces behind energy demand in China's construction industry: Evidence from 1990 to 2012," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 85-94.
  38. Boqiang Lin, & Wang, Miao, 2019. "Possibilities of decoupling for China’s energy consumption from economic growth: A temporal-spatial analysis," Energy, Elsevier, vol. 185(C), pages 951-960.
  39. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
  40. Darío Serrano-Puente, 2021. "Are we moving towards an energy-efficient low-carbon economy? An input-output LMDI decomposition of CO2 emissions for Spain and the EU28," Working Papers 2104, Banco de España.
  41. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
  42. Bowen Xiao & Dongxiao Niu & Xiaodan Guo, 2016. "The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis," Energies, MDPI, vol. 9(4), pages 1-17, March.
  43. Na Lu & Shuyi Feng & Ziming Liu & Weidong Wang & Hualiang Lu & Miao Wang, 2020. "The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
  44. P. Fabbri & A. Ninni, 2015. "Environmental Problems and Development Policies for Renewable Energy in BRIC Countries," Economics Department Working Papers 2015-EP02, Department of Economics, Parma University (Italy).
  45. Filipović, Sanja & Verbič, Miroslav & Radovanović, Mirjana, 2015. "Determinants of energy intensity in the European Union: A panel data analysis," Energy, Elsevier, vol. 92(P3), pages 547-555.
  46. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
  47. Darío Serrano-Puente, 2021. "Are we moving toward an energy-efficient low-carbon economy? An input–output LMDI decomposition of CO $$_{2}$$ 2 emissions for Spain and the EU28," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 151-229, June.
  48. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
  49. Rafael Alvarado & Cristian Ortiz & Lizeth Cuesta & Brayan Tillaguango, 2023. "Spillovers impact of institutional and economic factors in energy intensity," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1805-1823, June.
  50. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
  51. Lin Zhang and Philip Kofi Adom, 2018. "Energy Efficiency Transitions in China: How Persistent are the Movements to/from the Frontier?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
  52. Satoshi Nakano & Sonoe Arai & Ayu Washizu, 2017. "Economic impacts of Japan’s renewable energy sector and the feed-in tariff system: using an input–output table to analyze a next-generation energy system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 555-580, July.
  53. Tong Zhao & Zhijie Song & Tianjiao Li, 2018. "Effect of innovation capacity, production capacity and vertical specialization on innovation performance in China's electronic manufacturing: Analysis from the supply and demand sides," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
  54. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
  55. Kaivo-oja, J. & Luukkanen, J. & Panula-Ontto, J. & Vehmas, J. & Chen, Y. & Mikkonen, S. & Auffermann, B., 2014. "Are structural change and modernisation leading to convergence in the CO2 economy? Decomposition analysis of China, EU and USA," Energy, Elsevier, vol. 72(C), pages 115-125.
  56. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
  57. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
  58. Wang, Heming & Wang, Guoqiang & Qi, Jianchuan & Schandl, Heinz & Li, Yumeng & Feng, Cuiyang & Yang, Xuechun & Wang, Yao & Wang, Xinzhe & Liang, Sai, 2020. "Scarcity-weighted fossil fuel footprint of China at the provincial level," Applied Energy, Elsevier, vol. 258(C).
  59. Zhipeng Tang & Jialing Zou & Shuang Wu, 2018. "What Drove Changes in the Embodied Energy Consumption of Guangdong’s Exports from 2007–2012?," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
  60. 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.
  61. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
  62. Zhang, Xiaomei & Su, Bin & Yang, Jun & Cong, Jianhui, 2022. "Analysis of Shanxi Province's energy consumption and intensity using input-output framework (2002–2017)," Energy, Elsevier, vol. 250(C).
  63. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
  64. Zhang, Pengpeng & Zhang, Lixiao & Tian, Xin & Hao, Yan & Wang, Changbo, 2018. "Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing," Energy Policy, Elsevier, vol. 117(C), pages 173-183.
  65. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
  66. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
  67. Nakano, Satoshi & Arai, Sonoe & Washizu, Ayu, 2018. "Development and application of an inter-regional input-output table for analysis of a next generation energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2834-2842.
  68. Guang, Fengtao & He, Yongxiu & Wen, Le & Sharp, Basil, 2019. "Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis," Energy, Elsevier, vol. 180(C), pages 989-1000.
  69. PU, Zhengning & YUE, Shujing & GAO, Peng, 2020. "The driving factors of China's embodied carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
  70. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
  71. Wei, Zixiang & Han, Botang & Pan, Xiuzhen & Shahbaz, Muhammad & Zafar, Muhammad Wasif, 2020. "Effects of diversified openness channels on the total-factor energy efficiency in China's manufacturing sub-sectors: Evidence from trade and FDI spillovers," Energy Economics, Elsevier, vol. 90(C).
  72. Zhong, Sheng, 2018. "Structural decompositions of energy consumption between 1995 and 2009: Evidence from WIOD," Energy Policy, Elsevier, vol. 122(C), pages 655-667.
  73. Tolga Kaya, 2017. "Unraveling the Energy use Network of Construction Sector in Turkey using Structural Path Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 31-43.
  74. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
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