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The nonlinear impacts of industrial structure on China's energy intensity

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  • Li, Ke
  • Lin, Boqiang

Abstract

Adjusting industrial structural is crucial for Chinese government's effort to reduce energy intensity. This paper, based on the fact that the Chinese industrial structure's two V-pattern evolutions and the nonlinear fluctuation of the declining rate of energy intensity, specifies a nonlinear threshold cointegration model for EI (energy intensity), IS (industrial structure), TECH (technological progress), and PRICE (energy price) in order to investigate whether, and under which conditions, industrial structure is beneficial for reducing energy intensity. Results show that IS has different effects on EI when IS is greater or smaller than 40.435%. Specifically, in 1980–1982, 1995–1997, and 2003–2008, IS and PRICE produced positive effects on EI, but produced negative effects in 1983–1994, 1998–2002, and 2009. TECH, including both capital embodied technological progress and Hicks-neutral technological progress, produced a negative effect on EI in 1980–2009. Thus, the industrial structure has a structural bonus or negative effects on energy intensity only when IS is smaller than 40.435%. Therefore, China should reduce the ratio of industry added value to the GDP and stimulate technological progress to continuously reduce energy intensity.

Suggested Citation

  • Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
    • Handle: RePEc:eee:energy:v:69:y:2014:i:c:p:258-265
    DOI: 10.1016/j.energy.2014.02.106
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    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Birol, Fatih & Keppler, Jan Horst, 2000. "Prices, technology development and the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 457-469, June.
    3. Liao, Hua & Fan, Ying & Wei, Yi-Ming, 2007. "What induced China's energy intensity to fluctuate: 1997-2006?," Energy Policy, Elsevier, vol. 35(9), pages 4640-4649, September.
    4. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.
    5. Saikkonen, Pentti & Choi, In, 2004. "Cointegrating Smooth Transition Regressions," Econometric Theory, Cambridge University Press, vol. 20(2), pages 301-340, April.
    6. Wu, Yanrui, 2012. "Energy intensity and its determinants in China's regional economies," Energy Policy, Elsevier, vol. 41(C), pages 703-711.
    7. In Choi & Pentti Saikkonen, 2004. "Testing linearity in cointegrating smooth transition regressions," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 341-365, December.
    8. Hang, Leiming & Tu, Meizeng, 2007. "The impacts of energy prices on energy intensity: Evidence from China," Energy Policy, Elsevier, vol. 35(5), pages 2978-2988, May.
    9. Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng & Wu, Junlong, 2009. "Research on the energy-saving effect of energy policies in China: 1982-2006," Energy Policy, Elsevier, vol. 37(7), pages 2475-2480, July.
    10. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    11. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    12. repec:dau:papers:123456789/10972 is not listed on IDEAS
    13. Lin, Boqiang & Moubarak, Mohamed, 2014. "Estimation of energy saving potential in China's paper industry," Energy, Elsevier, vol. 65(C), pages 182-189.
    14. Zhao, Xiaoli & Ma, Chunbo & Hong, Dongyue, 2010. "Why did China's energy intensity increase during 1998-2006: Decomposition and policy analysis," Energy Policy, Elsevier, vol. 38(3), pages 1379-1388, March.
    15. Zhou, Nan & Levine, Mark D. & Price, Lynn, 2010. "Overview of current energy-efficiency policies in China," Energy Policy, Elsevier, vol. 38(11), pages 6439-6452, November.
    16. Zhang, Na & Lior, Noam & Jin, Hongguang, 2011. "The energy situation and its sustainable development strategy in China," Energy, Elsevier, vol. 36(6), pages 3639-3649.
    17. 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.
    18. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    19. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    20. Lin, Boqiang & Liu, Jianghua, 2011. "Principles, effects and problems of differential power pricing policy for energy intensive industries in China," Energy, Elsevier, vol. 36(1), pages 111-118.
    21. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    22. Feng, Taiwen & Sun, Linyan & Zhang, Ying, 2009. "The relationship between energy consumption structure, economic structure and energy intensity in China," Energy Policy, Elsevier, vol. 37(12), pages 5475-5483, December.
    23. Sue Wing, Ian, 2008. "Explaining the declining energy intensity of the U.S. economy," Resource and Energy Economics, Elsevier, vol. 30(1), pages 21-49, January.
    24. Kahrl, Fredrich & Roland-Holst, David, 2009. "Growth and structural change in China's energy economy," Energy, Elsevier, vol. 34(7), pages 894-903.
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