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Ex-post assessment of China's industrial energy efficiency policies during the 11th Five-Year Plan

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  • Yu, Yuqing
  • Wang, Xiao
  • Li, Huimin
  • Qi, Ye
  • Tamura, Kentaro

Abstract

China implemented a package of policies during the 11th Five-Year Plan (2006–2010) to improve industrial energy efficiency. This assessment provides a methodology that establishes a causal relationship between policy implementation and energy conservation effects. To enhance the confidence in the research findings, this assessment applies two distinctive and independent approaches: one top-down and the other bottom-up. This assessment finds that industrial energy efficiency policies collectively achieved energy savings of 322Mtce (9.4EJ) against the baseline scenario. This accounted for 59% of the sector's total energy savings from 2006 to 2010. The remaining energy savings were realised through autonomous technology improvement (33%) and sector-level structural shift (8%). Correspondingly, cumulative avoided CO2 emissions realised through energy efficiency policies amounted to 760 million tons. This assessment concludes that industrial energy efficiency policies were effective in realising energy conservation targets, but energy conservation effects were not achieved in a cost-effective way. Command and control measures were dominantly implemented, with economic incentives and informational measures taking a complementary role; while market based instruments did not play an important role. As China is planning on implementing a nationwide emissions trading scheme, special attention needs to be paid to policy interaction and coordination.

Suggested Citation

  • Yu, Yuqing & Wang, Xiao & Li, Huimin & Qi, Ye & Tamura, Kentaro, 2015. "Ex-post assessment of China's industrial energy efficiency policies during the 11th Five-Year Plan," Energy Policy, Elsevier, vol. 76(C), pages 132-145.
  • Handle: RePEc:eee:enepol:v:76:y:2015:i:c:p:132-145
    DOI: 10.1016/j.enpol.2014.11.010
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    3. Liu, Nan & Ma, Zujun & Kang, Jidong, 2015. "Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis," Energy Policy, Elsevier, vol. 87(C), pages 28-38.
    4. Fujii, Hidemichi & Cao, Jing & Managi, Shunsuke, 2016. "Firm-level environmentally sensitive productivity and innovation in China," Applied Energy, Elsevier, vol. 184(C), pages 915-925.
    5. Kong, Gaowen & Ji, Mianmian & Guo, Yuemei, 2021. "Political promotion events and energy conservation decisions: Evidence from China," Energy Economics, Elsevier, vol. 95(C).
    6. Li, Huimin & Zhao, Xiaofan & Yu, Yuqing & Wu, Tong & Qi, Ye, 2016. "China's numerical management system for reducing national energy intensity," Energy Policy, Elsevier, vol. 94(C), pages 64-76.
    7. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.
    8. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    9. Khanna, Nina Zheng & Zhou, Nan & Fridley, David & Ke, Jing, 2016. "Quantifying the potential impacts of China's power-sector policies on coal input and CO2 emissions through 2050: A bottom-up perspective," Utilities Policy, Elsevier, vol. 41(C), pages 128-138.
    10. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).
    11. Jinpeng Liu & Li Wang & Mohan Qiu & Jiang Zhu, 2016. "Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China," Sustainability, MDPI, vol. 8(8), pages 1-17, August.

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