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Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China

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  • Jinpeng Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Li Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Mohan Qiu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Jiang Zhu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

In order to meet the dual requirements of economic development and energy consumption, the Chinese government has adopted a series of measures and policies to improve energy efficiency. However, the developing characteristics are not the same in different regions. Thus, it is necessary to analyze the actual energy efficiency levels in a more targeted manner. In this paper, 30 provinces in China will be adopted to study energy efficiency based on the statistical data from National Energy Administration and National Bureau of Statistics. With the trends of Chinese energy consumption and economy development, the Lorenz curve between Chinese energy consumption and GDP is fitted firstly. The Lorenz coefficient (0.1562) shows that the energy allocation in China is neither reasonable nor balanced. Then, by cluster analysis, the regions of different provinces are newly divided into five divisions from the dimensions of economy and energy, i.e., (high development level and high consumption level, HH), (moderate development level and moderate consumption level, MM), (moderate development level and low consumption level, ML), (low development level and low consumption level, LL), and (low development level and moderate consumption level, LM). Based on the division results, the provincial promotion potentialities are estimated quantitatively according to the absolute convergence feature of energy efficiency promotion. The provinces that have more promotion potentialities of energy efficiency are located, such as Hebei (56.29%) in division (HH), Liaoning (38.15%) in division (MM), Anhui (44.17%) in division (ML), Ningxia (71.63%) in division (LL), and Xinjiang (35.26%) in division (LM), According to the different provincial potentialities, energy efficiency in China needs to improve more, but the improvement approaches should be specific and differential. Driven by technology, policy and mechanism, and industrial restructuring, the Chinese economy and energy resources should be integrated afresh to promote the energy efficiency level. Some optimal strategies on energy efficiency promotion are discussed, finally, aiming to provide effective references for the Chinese government to make relative policies. The study proposes a new perspective for provincial energy efficiency research which can also provide a reference for other countries.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:741-:d:75280
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    References listed on IDEAS

    as
    1. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    2. Seog-Chan Oh & Alfred J. Hildreth, 2014. "Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches," Energies, MDPI, vol. 7(9), pages 1-27, September.
    3. Bukarica, Vesna & Robić, Slavica, 2013. "Implementing energy efficiency policy in Croatia: Stakeholder interactions for closing the gap," Energy Policy, Elsevier, vol. 61(C), pages 414-422.
    4. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    5. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    6. Peihao Lai & Minzhe Du & Bing Wang & Ziyue Chen, 2016. "Assessment and Decomposition of Total Factor Energy Efficiency: An Evidence Based on Energy Shadow Price in China," Sustainability, MDPI, vol. 8(5), pages 1-23, April.
    7. Valenzuela, Jose Maria & Qi, Ye, 2012. "Framing energy efficiency and renewable energy policies: An international comparison between Mexico and China," Energy Policy, Elsevier, vol. 51(C), pages 128-137.
    8. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    9. Peng, Lihong & Zhang, Yiting & Wang, Yejun & Zeng, Xiaoling & Peng, Najun & Yu, Ang, 2015. "Energy efficiency and influencing factor analysis in the overall Chinese textile industry," Energy, Elsevier, vol. 93(P1), pages 1222-1229.
    10. Song, ChiUng & Oh, Wankeun, 2015. "Determinants of innovation in energy intensive industry and implications for energy policy," Energy Policy, Elsevier, vol. 81(C), pages 122-130.
    11. Viholainen, Juha & Luoranen, Mika & Väisänen, Sanni & Niskanen, Antti & Horttanainen, Mika & Soukka, Risto, 2016. "Regional level approach for increasing energy efficiency," Applied Energy, Elsevier, vol. 163(C), pages 295-303.
    12. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
    13. Huang, Yun-Hsun & Chang, Yi-Lin & Fleiter, Tobias, 2016. "A critical analysis of energy efficiency improvement potentials in Taiwan's cement industry," Energy Policy, Elsevier, vol. 96(C), pages 14-26.
    14. Thoyre, Autumn, 2015. "Energy efficiency as a resource in state portfolio standards: Lessons for more expansive policies," Energy Policy, Elsevier, vol. 86(C), pages 625-634.
    15. Duc Luong, Nguyen, 2015. "A critical review on Energy Efficiency and Conservation policies and programs in Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 623-634.
    16. Yu, Xuewei & Moreno-Cruz, Juan & Crittenden, John C., 2015. "Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia, USA," Energy Policy, Elsevier, vol. 87(C), pages 250-259.
    17. 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.
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