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Electricity footprint of China’s industrial sectors and its socioeconomic drivers

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  • Wang, Hongxia
  • Zhang, Junfeng
  • Fang, Hong

Abstract

China has become the largest electricity consumer in the world. Existing studies focus on the direct electricity use of industrial sectors and investigate the factors that influence direct electricity consumption. However, the critical sectors that play important roles as final consumers or primary suppliers and indirectly drive up the electricity use of upstream or downstream sectors are not identified. This study comprehensively quantifies the electricity footprint of the industrial sectors using consumption-based and income-based accounting methods The key drivers of changes in the consumption-based and income-based electricity footprints are also investigated using structural decomposition analysis (SDA). The results show that the accounting of the electricity footprint using consumption-based and income-based methods is quite different from that of the production-based method (i.e., direct electricity use). Moreover, the change in the energy structure (i.e., the percentage share of electricity in total energy consumption, also known as electrification level) of industrial sectors is a major driver of the increment in electricity use in addition to the final demand level and primary input level change. Improvement in the energy efficiency of sectors is the dominant factor that reduces electricity use. However, changes in the production input/output structure, final demand structure, and primary input structure are not found to have significant effects on reducing electricity use. This indicates that the role of structure change should be explored further. China can implement policies that further stimulate structural transformation, such as encouraging the consumption of less energy-intensive products and promoting primary inputs and production allocation to less energy-intensive sectors.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:recore:v:124:y:2017:i:c:p:98-106
    DOI: 10.1016/j.resconrec.2017.04.011
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    References listed on IDEAS

    as
    1. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
    2. Jie-fang Dong & Qiang Wang & Chun Deng & Xing-min Wang & Xiao-lei Zhang, 2016. "How to Move China toward a Green-Energy Economy: From a Sector Perspective," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    3. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    4. Hu, Zhaoguang & Yuan, Jiahai & Hu, Zheng, 2011. "Study on China's low carbon development in an Economy-Energy-Electricity-Environment framework," Energy Policy, Elsevier, vol. 39(5), pages 2596-2605, May.
    5. Zheng, Yanan & Hu, Zhaoguang & Wang, Jianhui & Wen, Quan, 2014. "IRSP (integrated resource strategic planning) with interconnected smart grids in integrating renewable energy and implementing DSM (demand side management) in China," Energy, Elsevier, vol. 76(C), pages 863-874.
    6. Yi Liang & Dongxiao Niu & Ye Cao & Wei-Chiang Hong, 2016. "Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission," Energies, MDPI, vol. 9(11), pages 1-22, November.
    7. Xie, Shi-Chen, 2014. "The driving forces of China׳s energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis," Energy Policy, Elsevier, vol. 73(C), pages 401-415.
    8. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    9. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    10. Yuan, Jiahai & Kang, Junjie & Yu, Cong & Hu, Zhaoguang, 2011. "Energy conservation and emissions reduction in China—Progress and prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4334-4347.
    11. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    12. Rutger Hoekstra & Jeroen van den Bergh, 2002. "Structural Decomposition Analysis of Physical Flows in the Economy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(3), pages 357-378, November.
    13. Mark De Haan, 2001. "A Structural Decomposition Analysis of Pollution in the Netherlands," Economic Systems Research, Taylor & Francis Journals, vol. 13(2), pages 181-196.
    14. Huiru Zhao & Haoran Zhao & Sen Guo & Fuqiang Li & Yuou Hu, 2016. "The Impact of Financial Crisis on Electricity Demand: A Case Study of North China," Energies, MDPI, vol. 9(4), pages 1-13, March.
    15. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    16. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    17. Yuan, Jiahai & Hou, Yong & Xu, Ming, 2012. "China's 2020 carbon intensity target: Consistency, implementations, and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4970-4981.
    18. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013. "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 71-98, March.
    19. Gibbon, Peter, 2001. "Upgrading Primary Production: A Global Commodity Chain Approach," World Development, Elsevier, vol. 29(2), pages 345-363, February.
    20. Wang, Yafei & Zhao, Hongyan & Li, Liying & Liu, Zhu & Liang, Sai, 2013. "Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis," Energy Policy, Elsevier, vol. 58(C), pages 312-318.
    21. Manfred Lenzen & Daniel Moran & Keiichiro Kanemoto & Arne Geschke, 2013. "Building Eora: A Global Multi-Region Input-Output Database At High Country And Sector Resolution," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 20-49, March.
    22. Hu, Zhaoguang & Tan, Xiandong & Yang, Fan & Yang, Ming & Wen, Quan & Shan, Baoguo & Han, Xinyang, 2010. "Integrated resource strategic planning: Case study of energy efficiency in the Chinese power sector," Energy Policy, Elsevier, vol. 38(11), pages 6391-6397, November.
    23. Steenhof, Paul A., 2006. "Decomposition of electricity demand in China's industrial sector," Energy Economics, Elsevier, vol. 28(3), pages 370-384, May.
    24. Liang, Sai & Zhang, Tianzhu, 2011. "What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province," Energy Policy, Elsevier, vol. 39(11), pages 7078-7083.
    25. Kuishuang Feng & Steven J. Davis & Laixiang Sun & Klaus Hubacek, 2015. "Drivers of the US CO2 emissions 1997–2013," Nature Communications, Nature, vol. 6(1), pages 1-8, November.
    26. Xu, Ming & Li, Ran & Crittenden, John C. & Chen, Yongsheng, 2011. "CO2 emissions embodied in China's exports from 2002 to 2008: A structural decomposition analysis," Energy Policy, Elsevier, vol. 39(11), pages 7381-7388.
    27. Liu, Nan & Ma, Zujun & Kang, Jidong, 2015. "Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis," Energy Policy, Elsevier, vol. 87(C), pages 28-38.
    28. Asuka Yamakawa & Glen P. Peters, 2011. "Structural Decomposition Analysis Of Greenhouse Gas Emissions In Norway 1990--2002," Economic Systems Research, Taylor & Francis Journals, vol. 23(3), pages 303-318, December.
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