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The energy efficiency advantage of foreign-invested enterprises in China and the role of structural differences

Author

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  • Jiang, Xuemei
  • Zhu, Kunfu
  • Green, Christopher

Abstract

In this paper, we use a unique input–output table that distinguishes trade mode and firm ownership to discuss the relative advantage of foreign-invested enterprises (FIEs) in Mainland China. It is found that FIEs outperform Chinese owned enterprises (COEs) in terms of total energy intensity by 16.97%, 14.97% and 42.89%, respectively, for the processing, non-processing and overall production in the industrial sector. Further decompositions show that structural differences across industries (and trade mode) contribute positively and account for 65.33%, 26.28% and 81.93% of the relative advantage of FIEs for processing, non-processing and overall production. Failure to capture heterogeneity across trade mode may lead to distortion of the picture of how final demand structure differences influence the energy efficiency advantage of FIEs over COEs in China.

Suggested Citation

  • Jiang, Xuemei & Zhu, Kunfu & Green, Christopher, 2015. "The energy efficiency advantage of foreign-invested enterprises in China and the role of structural differences," China Economic Review, Elsevier, vol. 34(C), pages 225-235.
    • Handle: RePEc:eee:chieco:v:34:y:2015:i:c:p:225-235
    DOI: 10.1016/j.chieco.2014.11.009
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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. Sonja Peterson, 2008. "Greenhouse gas mitigation in developing countries through technology transfer?: a survey of empirical evidence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(3), pages 283-305, March.
    3. Judith M. Dean & K. C. Fung & Zhi Wang, 2011. "Measuring Vertical Specialization: The Case of China," Review of International Economics, Wiley Blackwell, vol. 19(4), pages 609-625, September.
    4. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    5. Eskeland, Gunnar S. & Harrison, Ann E., 2003. "Moving to greener pastures? Multinationals and the pollution haven hypothesis," Journal of Development Economics, Elsevier, vol. 70(1), pages 1-23, February.
    6. Liu, Zhu & Geng, Yong & Lindner, Soeren & Zhao, Hongyan & Fujita, Tsuyoshi & Guan, Dabo, 2012. "Embodied energy use in China's industrial sectors," Energy Policy, Elsevier, vol. 49(C), pages 751-758.
    7. Ma, Hengyun & Oxley, Les & Gibson, John, 2010. "China's energy economy: A survey of the literature," Economic Systems, Elsevier, vol. 34(2), pages 105-132, June.
    8. He, Jie, 2006. "Pollution haven hypothesis and environmental impacts of foreign direct investment: The case of industrial emission of sulfur dioxide (SO2) in Chinese provinces," Ecological Economics, Elsevier, vol. 60(1), pages 228-245, November.
    9. Chu Wei & Jinlan Ni & Manhong Shen, 2009. "Empirical Analysis of Provincial Energy Efficiency in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(5), pages 88-103, September.
    10. Akbostanci, Eli̇f & Tunç, G. İpek & Türüt-Aşik, Serap, 2007. "Pollution haven hypothesis and the role of dirty industries in Turkey's exports," Environment and Development Economics, Cambridge University Press, vol. 12(2), pages 297-322, April.
    11. Chen, Xikang & Cheng, Leonard K. & Fung, K.C. & Lau, Lawrence J. & Sung, Yun-Wing & Zhu, K. & Yang, C. & Pei, J. & Duan, Y., 2012. "Domestic value added and employment generated by Chinese exports: A quantitative estimation," China Economic Review, Elsevier, vol. 23(4), pages 850-864.
    12. Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011. "Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
    13. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    14. Fisher-Vanden, Karen & Jefferson, Gary H. & Jingkui, Ma & Jianyi, Xu, 2006. "Technology development and energy productivity in China," Energy Economics, Elsevier, vol. 28(5-6), pages 690-705, November.
    15. repec:aen:journl:1999v20-03-a03 is not listed on IDEAS
    16. Radoslav S. Dimitrov, 2010. "Inside UN Climate Change Negotiations: The Copenhagen Conference," Review of Policy Research, Policy Studies Organization, vol. 27(6), pages 795-821, November.
    17. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    18. Cole, Matthew A., 2004. "Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages," Ecological Economics, Elsevier, vol. 48(1), pages 71-81, January.
    19. Mielnik, Otavio & Goldemberg, Jose, 2002. "Foreign direct investment and decoupling between energy and gross domestic product in developing countries," Energy Policy, Elsevier, vol. 30(2), pages 87-89, January.
    20. Hu, Baiding, 2014. "Measuring plant level energy efficiency in China's energy sector in the presence of allocative inefficiency," China Economic Review, Elsevier, vol. 31(C), pages 130-144.
    21. Koopman, Robert & Wang, Zhi & Wei, Shang-Jin, 2012. "Estimating domestic content in exports when processing trade is pervasive," Journal of Development Economics, Elsevier, vol. 99(1), pages 178-189.
    22. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    23. Sinton, Jonathan E. & Levine, Mark D., 1994. "Changing energy intensity in Chinese industry : The relatively importance of structural shift and intensity change," Energy Policy, Elsevier, vol. 22(3), pages 239-255, March.
    24. Huang, Jin-ping, 1993. "Industry energy use and structural change : A case study of The People's Republic of China," Energy Economics, Elsevier, vol. 15(2), pages 131-136, April.
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    Cited by:

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    JEL classification:

    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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