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Estimates of the potential for energy conservation in the Chinese steel industry

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  • Lin, Boqiang
  • Wu, Ya
  • Zhang, Li

Abstract

The study evaluates the energy saving potential of the Chinese steel industry by studying its potential future energy efficiency gap. In order to predict the future energy efficiency gap, a multivariate regression model combined with risk analysis is developed to estimate future energy intensity of China's steel industry. It is found that R&D intensity, energy saving investment, labor productivity and industry concentration are all important variables that affect energy intensity. We assess the possible measures as to how China's steel industry can narrow the energy efficiency gap with Japan by means of scenario analysis. Using Japan's current energy efficiency level as baseline, the energy saving potential of China's steel industry is more than 200 million ton coal equivalent in 2008, and it would fall to zero in 2020. However, if greater efforts were made to conserve energy, it would be possible to narrow down the energy efficiency gap between China and Japan by around 2015. Finally, using the results of the scenario analysis, future policy priorities for energy conservation in China's steel industry are assessed in this paper.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:6:p:3680-3689
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    as
    1. Lai, T.M. & To, W.M. & Lo, W.C. & Choy, Y.S., 2008. "Modeling of electricity consumption in the Asian gaming and tourism center—Macao SAR, People's Republic of China," Energy, Elsevier, vol. 33(5), pages 679-688.
    2. Al-Ghandoor, A. & Al-Hinti, I. & Jaber, J.O. & Sawalha, S.A., 2008. "Electricity consumption and associated GHG emissions of the Jordanian industrial sector: Empirical analysis and future projection," Energy Policy, Elsevier, vol. 36(1), pages 258-267, January.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    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. Hidalgo, Ignacio & Szabo, Laszlo & Carlos Ciscar, Juan & Soria, Antonio, 2005. "Technological prospects and CO2 emission trading analyses in the iron and steel industry: A global model," Energy, Elsevier, vol. 30(5), pages 583-610.
    7. Cai, Wenjia & Wang, Can & Liu, Wenling & Mao, Ziwei & Yu, Huichao & Chen, Jining, 2009. "Sectoral analysis for international technology development and transfer: Cases of coal-fired power generation, cement and aluminium in China," Energy Policy, Elsevier, vol. 37(6), pages 2283-2291, June.
    8. Boyd, Gale A. & Pang, Joseph X., 2000. "Estimating the linkage between energy efficiency and productivity," Energy Policy, Elsevier, vol. 28(5), pages 289-296, May.
    9. Mukherjee, Kankana, 2008. "Energy use efficiency in the Indian manufacturing sector: An interstate analysis," Energy Policy, Elsevier, vol. 36(2), pages 662-672, February.
    10. 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.
    11. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    12. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    13. Yih-Liang Chan, David & Yang, Kuang-Han & Lee, Jenq-Daw & Hong, Gui-Bing, 2010. "The case study of furnace use and energy conservation in iron and steel industry," Energy, Elsevier, vol. 35(4), pages 1665-1670.
    14. Hasanbeigi, Ali & Menke, Christoph & Therdyothin, Apichit, 2010. "The use of conservation supply curves in energy policy and economic analysis: The case study of Thai cement industry," Energy Policy, Elsevier, vol. 38(1), pages 392-405, January.
    15. Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
    16. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio, 2009. "Electricity consumption forecasting in Italy using linear regression models," Energy, Elsevier, vol. 34(9), pages 1413-1421.
    17. Pacudan, Romeo & de Guzman, Elaine, 2002. "Impact of energy efficiency policy to productive efficiency of electricity distribution industry in the Philippines," Energy Economics, Elsevier, vol. 24(1), pages 41-54, January.
    18. Lady, George M., 2010. "Evaluating long term forecasts," Energy Economics, Elsevier, vol. 32(2), pages 450-457, March.
    19. Ghosh, Sajal, 2006. "Future demand of petroleum products in India," Energy Policy, Elsevier, vol. 34(15), pages 2032-2037, October.
    20. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
    21. Crompton, Paul & Lesourd, Jean-Baptiste, 2008. "Economies of scale in global iron-making," Resources Policy, Elsevier, vol. 33(2), pages 74-82, June.
    22. Zhang, Jianling & Wang, Guoshun, 2008. "Energy saving technologies and productive efficiency in the Chinese iron and steel sector," Energy, Elsevier, vol. 33(4), pages 525-537.
    23. Al-Ghandoor, A. & Jaber, J.O. & Al-Hinti, I. & Mansour, I.M., 2009. "Residential past and future energy consumption: Potential savings and environmental impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1262-1274, August.
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