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Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables

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  • Meng, F.Y.
  • Zhou, D.Q.
  • Zhou, P.
  • Bai, Y.

Abstract

China's electricity generation is mainly dependent on fossil fuel. Promoting electricity conservation in different sectors and regions plays a vital role in reducing China's energy-related CO2 emissions and other pollutants. This paper contributes to identify the sectors and economic regions with larger electricity-saving potential and make policy recommendations for promoting electricity conservation. Two indicators, namely TEC (technical elasticity coefficient) and PSC (price sensitivity coefficient), are constructed within an input–output analysis framework to measure the electricity-saving potential. The proposed indicators are applied to analyze the electricity-saving potentials of 20 sectors and 30 provinces in China. We also use EFC (electricity forward correlation coefficient) to examine the relationship between power consumption and electricity-saving potential. Our empirical results show that Mechanical industry, Construction industry and Chemical industry have the largest electricity-saving potential. Meanwhile, the east region of China also shows greater electricity-saving potential. It is suggested that Chinese government adopt pricing regulation and technology innovation policies jointly to promote China's energy conservation. Some important policy implications according to our empirical study are also proposed.

Suggested Citation

  • Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    • Handle: RePEc:eee:energy:v:72:y:2014:i:c:p:772-782
    DOI: 10.1016/j.energy.2014.05.112
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    as
    1. McKane, Aimee & Hasanbeigi, Ali, 2011. "Motor systems energy efficiency supply curves: A methodology for assessing the energy efficiency potential of industrial motor systems," Energy Policy, Elsevier, vol. 39(10), pages 6595-6607, October.
    2. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    3. Lin, Boqiang & Wu, Ya & Zhang, Li, 2011. "Estimates of the potential for energy conservation in the Chinese steel industry," Energy Policy, Elsevier, vol. 39(6), pages 3680-3689, June.
    4. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    5. Blumstein, Carl & Stoft, Steven E, 1995. "Technical efficiency, production functions and conservation supply curves," Energy Policy, Elsevier, vol. 23(9), pages 765-768, September.
    6. Alcántara, Vicent & Tarancón, Miguel-Angel & del Río, Pablo, 2013. "Assessing the technological responsibility of productive structures in electricity consumption," Energy Economics, Elsevier, vol. 40(C), pages 457-467.
    7. Tarancón, Miguel Ángel & del Río, Pablo & Callejas, Fernando, 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case," Energy, Elsevier, vol. 36(1), pages 46-52.
    8. Lim, Seul-Ye & Yoo, Seung-Hoon, 2013. "The impact of electricity price changes on industrial prices and the general price level in Korea," Energy Policy, Elsevier, vol. 61(C), pages 1551-1555.
    9. Lin, Boqiang & Wu, Ya & Zhang, Li, 2012. "Electricity saving potential of the power generation industry in China," Energy, Elsevier, vol. 40(1), pages 307-316.
    10. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    11. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    12. Meier, Alan & Rosenfeld, Arthur H. & Wright, Janice, 1982. "Supply curves of conserved energy for California's residential sector," Energy, Elsevier, vol. 7(4), pages 347-358.
    13. Su, Bin & Ang, B.W., 2011. "Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects," Ecological Economics, Elsevier, vol. 71(C), pages 42-53.
    14. Liang, Sai & Zhang, Tianzhu & Wang, Yafei & Jia, Xiaoping, 2012. "Sustainable urban materials management for air pollutants mitigation based on urban physical input–output model," Energy, Elsevier, vol. 42(1), pages 387-392.
    15. Jiang, Zhujun & Tan, Jijun, 2013. "How the removal of energy subsidy affects general price in China: A study based on input–output model," Energy Policy, Elsevier, vol. 63(C), pages 599-606.
    16. Huang, Yun-Hsun & Wu, Jung-Hua, 2013. "Analyzing the driving forces behind CO2 emissions and reduction strategies for energy-intensive sectors in Taiwan, 1996–2006," Energy, Elsevier, vol. 57(C), pages 402-411.
    17. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2014. "The changing trend and influencing factors of energy efficiency: The case of nine countries," Energy, Elsevier, vol. 64(C), pages 1026-1034.
    18. Alcántara, Vicent & del Río, Pablo & Hernández, Félix, 2010. "Structural analysis of electricity consumption by productive sectors. The Spanish case," Energy, Elsevier, vol. 35(5), pages 2088-2098.
    19. Dong, Huijuan & Geng, Yong & Fujita, Tsuyoshi & Jacques, David A., 2014. "Three accounts for regional carbon emissions from both fossil energy consumption and industrial process," Energy, Elsevier, vol. 67(C), pages 276-283.
    20. Lin, Boqiang & Zhang, Li & Wu, Ya, 2012. "Evaluation of electricity saving potential in China's chemical industry based on cointegration," Energy Policy, Elsevier, vol. 44(C), pages 320-330.
    21. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    22. Olanrewaju, O.A. & Jimoh, A.A. & Kholopane, P.A., 2013. "Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model," Energy, Elsevier, vol. 63(C), pages 225-232.
    23. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    24. Tarancón Morán, Miguel Ángel & del Ri­o, Pablo & Albiñana, Fernando Callejas, 2008. "Tracking the genealogy of CO2 emissions in the electricity sector: An intersectoral approach applied to the Spanish case," Energy Policy, Elsevier, vol. 36(6), pages 1915-1926, June.
    25. Mu, Tao & Xia, Qing & Kang, Chongqing, 2010. "Input-output table of electricity demand and its application," Energy, Elsevier, vol. 35(1), pages 326-331.
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