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Promoting energy conservation in China's metallurgy industry

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  • Lin, Boqiang
  • Du, Zhili

Abstract

China is undergoing rapid industrialization and urbanization, with consequent dramatic increase in energy demand. Given energy scarcity, environmental pollution, energy security and energy cost constraints, energy conservation will be the major strategy in China's transition to a low-carbon economy. Since the metallurgy industry is a main sector of energy consumption, the efficiency of energy conservation in this industry will affect the future prospects of energy savings. This paper analyzes the energy conservation potential of China's metallurgy industry. First, seemingly unrelated regression method is applied to investigate the relationship between energy relative price, R&D input, enterprise ownership structure, enterprise scale and energy intensity of the metallurgy industry. Then, based on the SUR results, we use the scenario analysis method to predict energy consumption and savings potential in the industry in different scenarios. This paper provides references for China's government and metallurgy industry in formulating relevant energy conservation policies.

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  • Lin, Boqiang & Du, Zhili, 2017. "Promoting energy conservation in China's metallurgy industry," Energy Policy, Elsevier, vol. 104(C), pages 285-294.
  • Handle: RePEc:eee:enepol:v:104:y:2017:i:c:p:285-294
    DOI: 10.1016/j.enpol.2017.02.005
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    as
    1. Fisher-Vanden, Karen & Jefferson, Gary H. & Liu, Hongmei & Tao, Quan, 2004. "What is driving China's decline in energy intensity?," Resource and Energy Economics, Elsevier, vol. 26(1), pages 77-97, March.
    2. Lin, Boqiang & Zhang, Guoliang, 2013. "Estimates of electricity saving potential in Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 60(C), pages 558-568.
    3. Lenzen, Manfred, 1998. "Primary energy and greenhouse gases embodied in Australian final consumption: an input-output analysis," Energy Policy, Elsevier, vol. 26(6), pages 495-506, May.
    4. Galindo, Luis Miguel, 2005. "Short- and long-run demand for energy in Mexico: a cointegration approach," Energy Policy, Elsevier, vol. 33(9), pages 1179-1185, June.
    5. Ma, Hengyun & Oxley, Les & Gibson, John & Kim, Bonggeun, 2008. "China's energy economy: Technical change, factor demand and interfactor/interfuel substitution," Energy Economics, Elsevier, vol. 30(5), pages 2167-2183, September.
    6. Zhang, Liang, 2012. "Electricity pricing in a partial reformed plan system: The case of China," Energy Policy, Elsevier, vol. 43(C), pages 214-225.
    7. Lin, Boqiang & Wang, Xiaolei, 2014. "Promoting energy conservation in China's iron & steel sector," Energy, Elsevier, vol. 73(C), pages 465-474.
    8. Jiang, Zhujun & Lin, Boqiang, 2012. "China's energy demand and its characteristics in the industrialization and urbanization process," Energy Policy, Elsevier, vol. 49(C), pages 608-615.
    9. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    10. Ren, Shenggang & Hu, Zhen, 2012. "Effects of decoupling of carbon dioxide emission by Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 43(C), pages 407-414.
    11. Liu, Hongtao & Xi, Youmin & Guo, Ju'e & Li, Xia, 2010. "Energy embodied in the international trade of China: An energy input-output analysis," Energy Policy, Elsevier, vol. 38(8), pages 3957-3964, August.
    12. Kuswardhani, Nita & Soni, Peeyush & Shivakoti, Ganesh P., 2013. "Comparative energy input–output and financial analyses of greenhouse and open field vegetables production in West Java, Indonesia," Energy, Elsevier, vol. 53(C), pages 83-92.
    13. Kulshreshtha, Mudit & Parikh, Jyoti K., 2000. "Modeling demand for coal in India: vector autoregressive models with cointegrated variables," Energy, Elsevier, vol. 25(2), pages 149-168.
    14. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    15. Pao, Hsiao-Tien, 2009. "Forecast of electricity consumption and economic growth in Taiwan by state space modeling," Energy, Elsevier, vol. 34(11), pages 1779-1791.
    16. Nässén, Jonas & Holmberg, John & Wadeskog, Anders & Nyman, Madeleine, 2007. "Direct and indirect energy use and carbon emissions in the production phase of buildings: An input–output analysis," Energy, Elsevier, vol. 32(9), pages 1593-1602.
    17. Sinton, Jonathan E. & Fridley, David G., 2000. "What goes up: recent trends in China's energy consumption," Energy Policy, Elsevier, vol. 28(10), pages 671-687, August.
    18. González Palencia, Juan C. & Furubayashi, Takaaki & Nakata, Toshihiko, 2013. "Analysis of CO2 emissions reduction potential in secondary production and semi-fabrication of non-ferrous metals," Energy Policy, Elsevier, vol. 52(C), pages 328-341.
    19. Yuan, Chaoqing & Liu, Sifeng & Wu, Junlong, 2009. "Research on energy-saving effect of technological progress based on Cobb-Douglas production function," Energy Policy, Elsevier, vol. 37(8), pages 2842-2846, August.
    20. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    21. Ghosh, Sajal, 2006. "Future demand of petroleum products in India," Energy Policy, Elsevier, vol. 34(15), pages 2032-2037, October.
    22. Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
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