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Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption

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  1. Lin, Boqiang & Raza, Muhammad Yousaf, 2020. "Coal and economic development in Pakistan: A necessity of energy source," Energy, Elsevier, vol. 207(C).
  2. Zhang, Shulin & Su, Xiaoling & Singh, Vijay P & Ayantobo, Olusola Olaitan & Xie, Juan, 2018. "Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: a case study of the middle reaches of the Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 208(C), pages 422-430.
  3. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
  4. Ang, B.W. & Wang, H., 2015. "Index decomposition analysis with multidimensional and multilevel energy data," Energy Economics, Elsevier, vol. 51(C), pages 67-76.
  5. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
  6. 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.
  7. 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).
  8. Chong, ChinHao & Ma, Linwei & Li, Zheng & Ni, Weidou & Song, Shizhong, 2015. "Logarithmic mean Divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows," Energy, Elsevier, vol. 85(C), pages 366-378.
  9. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
  10. Fang, Debin & Hao, Peng & Yu, Qian & Wang, Jiancheng, 2020. "The impacts of electricity consumption in China's key economic regions," Applied Energy, Elsevier, vol. 267(C).
  11. Yang, Xue & Xu, He & Su, Bin, 2022. "Factor decomposition for global and national aggregate energy intensity change during 2000–2014," Energy, Elsevier, vol. 254(PB).
  12. Shao, Zhen & Chao, Fu & Yang, Shan-Lin & Zhou, Kai-Le, 2017. "A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 123-136.
  13. Liu, Chang & Lin, Boqiang, 2018. "Analysis of the changes in the scale of natural gas subsidy in China and its decomposition factors," Energy Economics, Elsevier, vol. 70(C), pages 37-44.
  14. Lin, Boqiang & Raza, Muhammad Yousaf, 2021. "Analysis of electricity consumption in Pakistan using index decomposition and decoupling approach," Energy, Elsevier, vol. 214(C).
  15. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
  16. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
  17. Wang, Qiang & Li, Rongrong, 2016. "Drivers for energy consumption: A comparative analysis of China and India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 954-962.
  18. Liu, Hong & Wang, Chang & Tian, Meiyu & Wen, Fenghua, 2019. "Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015," Energy, Elsevier, vol. 171(C), pages 1139-1149.
  19. Sun, Xiaoqi & Liu, Xiaojia, 2020. "Decomposition analysis of debt’s impact on China’s energy consumption," Energy Policy, Elsevier, vol. 146(C).
  20. Timma, Lelde & Zoss, Toms & Blumberga, Dagnija, 2016. "Life after the financial crisis. Energy intensity and energy use decomposition on sectorial level in Latvia," Applied Energy, Elsevier, vol. 162(C), pages 1586-1592.
  21. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
  22. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
  23. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
  24. 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.
  25. Luo, Yulong & Zeng, Weiliang & Wang, Yueqiang & Li, Danzhou & Hu, Xianbiao & Zhang, Hua, 2021. "A hybrid approach for examining the drivers of energy consumption in Shanghai," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
  26. Wang, Zhaohua & Zhang, Bin & Liu, Tongfan, 2016. "Empirical analysis on the factors influencing national and regional carbon intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 34-42.
  27. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
  28. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
  29. 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.
  30. Cansino, José M. & Sánchez-Braza, Antonio & Rodríguez-Arévalo, María L., 2015. "Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 749-759.
  31. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
  32. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
  33. Wang, Bo & Sun, Yefei & Chen, Qingxiang & Wang, Zhaohua, 2018. "Determinants analysis of carbon dioxide emissions in passenger and freight transportation sectors in China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 127-132.
  34. Wang, Yang & Liu, Yongzhang & Huang, Liqiao & Zhang, Qingyu & Gao, Wei & Sun, Qian & Li, Xi, 2022. "Decomposition the driving force of regional electricity consumption in Japan from 2001 to 2015," Applied Energy, Elsevier, vol. 308(C).
  35. Goh, Tian & Zhong, Sheng & Ang, B.W. & Su, Bin & Ng, Szu Hui & Chai, Kah-Hin, 2021. "Driving factors of changes in international maritime energy consumption: Microdata evidence 2014–2017," Energy Policy, Elsevier, vol. 154(C).
  36. Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
  37. Ding, Yang & Li, Feng, 2017. "Examining the effects of urbanization and industrialization on carbon dioxide emission: Evidence from China's provincial regions," Energy, Elsevier, vol. 125(C), pages 533-542.
  38. Shao, Shuai & Huang, Tao & Yang, Lili, 2014. "Using latent variable approach to estimate China׳s economy-wide energy rebound effect over 1954–2010," Energy Policy, Elsevier, vol. 72(C), pages 235-248.
  39. Zheng, Jiali & Feng, Gengzhong & Ren, Zhuanzhuan & Qi, Nengxi & Coffman, D'Maris & Zhou, Yunlai & Wang, Shouyang, 2022. "China's energy consumption and economic activity at the regional level," Energy, Elsevier, vol. 259(C).
  40. Wang, Yanqiu & Zhu, Zhiwei & Zhu, Zhaoge & Liu, Zhenbin, 2019. "Analysis of China's energy consumption changing using the Mean Rate of Change Index and the logarithmic mean divisia index," Energy, Elsevier, vol. 167(C), pages 275-282.
  41. Chong, Chin Hao & Tan, Wei Xin & Ting, Zhao Jia & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou, 2019. "The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
  42. Zhang, Rui & Sharma, Rajesh & Tan, Zhixiong & Kautish, Pradeep, 2022. "Do export diversification and stock market development drive carbon intensity? The role of renewable energy solutions in top carbon emitter countries," Renewable Energy, Elsevier, vol. 185(C), pages 1318-1328.
  43. Zhang, Zhenhua & Wang, Jing & Feng, Chao & Chen, Xi, 2023. "Do pilot zones for green finance reform and innovation promote energy savings? Evidence from China," Energy Economics, Elsevier, vol. 124(C).
  44. Román, Rocío & Cansino, José M. & Rodas, José A., 2018. "Analysis of the main drivers of CO2 emissions changes in Colombia (1990–2012) and its political implications," Renewable Energy, Elsevier, vol. 116(PA), pages 402-411.
  45. Raza, Muhammad Yousaf & Lin, Boqiang, 2022. "Energy efficiency and factor productivity in Pakistan: Policy perspectives," Energy, Elsevier, vol. 247(C).
  46. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).
  47. Dong, Bai & Zhang, Ming & Mu, Hailin & Su, Xuanming, 2016. "Study on decoupling analysis between energy consumption and economic growth in Liaoning Province," Energy Policy, Elsevier, vol. 97(C), pages 414-420.
  48. Duarte, Rosa & Langarita, Raquel & Sánchez-Chóliz, Julio, 2017. "The electricity industry in Spain: A structural analysis using a disaggregated input-output model," Energy, Elsevier, vol. 141(C), pages 2640-2651.
  49. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2017. "Driving forces for aggregate energy consumption: A cross-country approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1033-1050.
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