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Energy Conservation in China’s Cement Industry

Author

Listed:
  • Boqiang Lin

    (Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, School of Management, Xiamen University, Xiamen 361005, Fujian, China)

  • Zihan Zhang

    (The School of Energy, Xiamen University, Xiamen 361005, Fujian, China)

  • Fei Ge

    (State Grid Anhui Electric Power Company, Hefei 230061, Anhui, China)

Abstract
China, as the world’s largest cement producer, accounts for more than 60% of global cement production. With the continuous development of the Chinese economy, resource and environmental constraints are becoming increasingly serious, and energy saving and emission reduction has become one of the choices with which all industries are faced in the process of development. The cement industry is one of the major sources of China’s carbon dioxide emissions and its effect on energy saving and emissions’ reduction determines the realization of the national goals of energy conservation and emissions reduction. Taking China’s cement industry as the main focus, this paper carries out quantitative analysis of the relationship between energy consumption in the cement industry and a number of variables: energy structure, energy prices, energy efficiency and total output value of the cement industry based on a cointegration model. The study further analyzes the energy saving potential of the cement industry by assuming different scenarios. The research results show that the energy saving potential of the cement industry is 19.06% and 33.69%, with medium and high energy efficiency, respectively.

Suggested Citation

  • Boqiang Lin & Zihan Zhang & Fei Ge, 2017. "Energy Conservation in China’s Cement Industry," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:668-:d:96529
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    References listed on IDEAS

    as
    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. 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.
    3. Bhaskara Rao, B. & Rao, Gyaneshwar, 2009. "Cointegration and the demand for gasoline," Energy Policy, Elsevier, vol. 37(10), pages 3978-3983, October.
    4. Amarawickrama, Himanshu A. & Hunt, Lester C., 2008. "Electricity demand for Sri Lanka: A time series analysis," Energy, Elsevier, vol. 33(5), pages 724-739.
    5. 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.
    6. Cagno, Enrico & Trianni, Andrea, 2013. "Exploring drivers for energy efficiency within small- and medium-sized enterprises: First evidences from Italian manufacturing enterprises," Applied Energy, Elsevier, vol. 104(C), pages 276-285.
    7. Lin, Boqiang & Xu, Lin, 2015. "Energy conservation of electrolytic aluminum industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 676-686.
    8. Norman, G, 1979. "Economies of Scale in the Cement Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 27(4), pages 317-337, June.
    9. 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.
    10. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
    11. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    12. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    13. Belloumi, Mounir, 2009. "Energy consumption and GDP in Tunisia: Cointegration and causality analysis," Energy Policy, Elsevier, vol. 37(7), pages 2745-2753, July.
    14. Lin, Boqiang & Yang, Lisha, 2013. "The potential estimation and factor analysis of China′s energy conservation on thermal power industry," Energy Policy, Elsevier, vol. 62(C), pages 354-362.
    15. Alves, Denisard C. O. & De Losso da Silveira Bueno, Rodrigo, 2003. "Short-run, long-run and cross elasticities of gasoline demand in Brazil," Energy Economics, Elsevier, vol. 25(2), pages 191-199, March.
    16. Peri, Massimo & Baldi, Lucia, 2010. "Vegetable oil market and biofuel policy: An asymmetric cointegration approach," Energy Economics, Elsevier, vol. 32(3), pages 687-693, May.
    17. Lin, Boqiang & Wesseh, Presley K., 2013. "Estimates of inter-fuel substitution possibilities in Chinese chemical industry," Energy Economics, Elsevier, vol. 40(C), pages 560-568.
    18. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    19. 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.
    20. 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.
    21. Akinboade, Oludele A. & Ziramba, Emmanuel & Kumo, Wolassa L., 2008. "The demand for gasoline in South Africa: An empirical analysis using co-integration techniques," Energy Economics, Elsevier, vol. 30(6), pages 3222-3229, November.
    22. Ramanathan, R., 1999. "Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 21(4), pages 321-330, August.
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    Cited by:

    1. Li, Wei & Gao, Shubin, 2018. "Prospective on energy related carbon emissions peak integrating optimized intelligent algorithm with dry process technique application for China's cement industry," Energy, Elsevier, vol. 165(PB), pages 33-54.
    2. Kopatz, Michael & Wagner, Oliver & Drissen, Isabel & Wiegand, Julia & Theuer, Laura, 2017. "Guthabenzahlung für Strom: Studie über den Breiteneinsatz von Prepaidzählern," Wuppertal Reports 11, Wuppertal Institute for Climate, Environment and Energy.
    3. Theocharis, Dimitrios & Rodrigues, Vasco Sanchez & Pettit, Stephen & Haider, Jane, 2019. "Feasibility of the Northern Sea Route: The role of distance, fuel prices, ice breaking fees and ship size for the product tanker market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 111-135.
    4. Pandžić, H. & Dvorkin, Y. & Carrión, M., 2018. "Investments in merchant energy storage: Trading-off between energy and reserve markets," Applied Energy, Elsevier, vol. 230(C), pages 277-286.
    5. Shamsi, Mohammad Haris & Ali, Usman & Mangina, Eleni & O’Donnell, James, 2020. "A framework for uncertainty quantification in building heat demand simulations using reduced-order grey-box energy models," Applied Energy, Elsevier, vol. 275(C).
    6. Smith, Kate & Liu, Shuming & Liu, Ying & Guo, Shengjie, 2018. "Can China reduce energy for water? A review of energy for urban water supply and wastewater treatment and suggestions for change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 41-58.

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