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Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model

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  • Fang, Debin
  • Hao, Peng
  • Hao, Jian

Abstract

A full understand of the influential mechanism concerning electricity consumption has a crucial political reference significance for the implementation of energy conservation and consumption reduction policies. To solve the lack of correlation between the empirical results of the research regions in present researches, this paper takes China's electricity consumption from 1995 to 2016 as the research subject, uses Multi-period ST-LMDI model by setting a unified reference province as a benchmark for different regions in China to completely decompose the changes in China's electricity consumption, and further analyzes the influence mechanism of China's electricity consumption changes by combining the characteristics of the departments and regions. As the result, it's found that the economic growth has a strong impetus for power consumption while the technological progress can effectively curb it. Meanwhile, results of studying electricity consumption from the perspective of industry and region show that the economic structure and consumption intensity have obviously different influences in the eastern, central and western regions. So when it comes to formulate the policy for electricity development and reform, the characteristics of industrial structure as well as the regional differences must be taken into consideration.

Suggested Citation

  • Fang, Debin & Hao, Peng & Hao, Jian, 2019. "Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model," Energy, Elsevier, vol. 170(C), pages 730-743.
  • Handle: RePEc:eee:energy:v:170:y:2019:i:c:p:730-743
    DOI: 10.1016/j.energy.2018.12.212
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    as
    1. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    2. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    3. Shahbaz, Muhammad & Tang, Chor Foon & Shahbaz Shabbir, Muhammad, 2011. "Electricity consumption and economic growth nexus in Portugal using cointegration and causality approaches," Energy Policy, Elsevier, vol. 39(6), pages 3529-3536, June.
    4. Jamil, Faisal & Ahmad, Eatzaz, 2010. "The relationship between electricity consumption, electricity prices and GDP in Pakistan," Energy Policy, Elsevier, vol. 38(10), pages 6016-6025, October.
    5. Abbas, Faisal & Choudhury, Nirmalya, 2013. "Electricity consumption-economic growth Nexus: An aggregated and disaggregated causality analysis in India and Pakistan," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 538-553.
    6. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    7. Zhang, Chengsi & Clovis, Joel, 2010. "China inflation dynamics: Persistence and policy regimes," Journal of Policy Modeling, Elsevier, vol. 32(3), pages 373-388, May.
    8. 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.
    9. Tang, Chor Foon, 2008. "A re-examination of the relationship between electricity consumption and economic growth in Malaysia," Energy Policy, Elsevier, vol. 36(8), pages 3067-3075, August.
    10. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
    11. Capistrán, Carlos & Timmermann, Allan, 2009. "Forecast Combination With Entry and Exit of Experts," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 428-440.
    12. Chong, ChinHao & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou & Li, Xu & Song, Shizhong, 2017. "LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram," Energy, Elsevier, vol. 133(C), pages 525-544.
    13. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
    14. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    15. Ang, B.W. & Su, Bin & Wang, H., 2016. "A spatial–temporal decomposition approach to performance assessment in energy and emissions," Energy Economics, Elsevier, vol. 60(C), pages 112-121.
    16. Karanfil, Fatih & Li, Yuanjing, 2015. "Electricity consumption and economic growth: Exploring panel-specific differences," Energy Policy, Elsevier, vol. 82(C), pages 264-277.
    17. Polemis, Michael L. & Dagoumas, Athanasios S., 2013. "The electricity consumption and economic growth nexus: Evidence from Greece," Energy Policy, Elsevier, vol. 62(C), pages 798-808.
    18. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    19. Huiru Zhao & Haoran Zhao & Xiaoyu Han & Zhonghua He & Sen Guo, 2016. "Economic Growth, Electricity Consumption, Labor Force and Capital Input: A More Comprehensive Analysis on North China Using Panel Data," Energies, MDPI, vol. 9(11), pages 1-21, October.
    20. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    21. Wang, Wenchao & Mu, Hailin & Kang, Xudong & Song, Rongchen & Ning, Yadong, 2010. "Changes in industrial electricity consumption in china from 1998 to 2007," Energy Policy, Elsevier, vol. 38(7), pages 3684-3690, July.
    22. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    23. Yang, Xue & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Zou, Yafeng, 2016. "Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China," Applied Energy, Elsevier, vol. 184(C), pages 714-726.
    24. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    25. Cheng-Lang, Yang & Lin, Hung-Pin & Chang, Chih-Heng, 2010. "Linear and nonlinear causality between sectoral electricity consumption and economic growth: Evidence from Taiwan," Energy Policy, Elsevier, vol. 38(11), pages 6570-6573, November.
    26. Yuan, Jiahai & Zhao, Changhong & Yu, Shunkun & Hu, Zhaoguang, 2007. "Electricity consumption and economic growth in China: Cointegration and co-feature analysis," Energy Economics, Elsevier, vol. 29(6), pages 1179-1191, November.
    27. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    28. Lee, Chien-Chiang & Chang, Chun-Ping, 2008. "Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data," Resource and Energy Economics, Elsevier, vol. 30(1), pages 50-65, January.
    29. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    30. 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.
    31. Yoo, Seung-Hoon & Lee, Joo-Suk, 2010. "Electricity consumption and economic growth: A cross-country analysis," Energy Policy, Elsevier, vol. 38(1), pages 622-625, January.
    32. Yoo, Seung-Hoon & Kwak, So-Yoon, 2010. "Electricity consumption and economic growth in seven South American countries," Energy Policy, Elsevier, vol. 38(1), pages 181-188, January.
    33. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    34. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    35. Zhang, Chengsi, 2013. "Money, housing, and inflation in China," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 75-87.
    36. Apergis, Nicholas & Payne, James E., 2011. "A dynamic panel study of economic development and the electricity consumption-growth nexus," Energy Economics, Elsevier, vol. 33(5), pages 770-781, September.
    37. Wolde-Rufael, Yemane, 2014. "Electricity consumption and economic growth in transition countries: A revisit using bootstrap panel Granger causality analysis," Energy Economics, Elsevier, vol. 44(C), pages 325-330.
    38. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
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