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On China's energy intensity statistics: Toward a comprehensive and transparent indicator

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  • Wang, Xin

Abstract

A transparent and comprehensive statistical system in China would provide an important basis for enabling a better understanding of the country. This paper focuses on energy intensity (EI), which is one of the most important indicators of China. It firstly reviews China's GDP and energy statistics, showing that China has made great improvements in recent years. The means by which EI data are released and adjusted are then explained. It shows that EI data releases do not provide complete data for calculating EI and constant GDP, which may reduce policy transparency and comprehensiveness. This paper then conducts an EI calculation method that is based on official sources and that respects the data availability of different data release times. It finds that, in general, China's EI statistics can be considered as reliable because most of the results generated by author's calculations match the figures in the official releases. However, two data biases were identified, which may necessitate supplementary information on related constant GDP values used in the official calculation of EI data. The paper concludes by proposing short- and long-term measures for improving EI statistics to provide a transparent and comprehensive EI indicator.

Suggested Citation

  • Wang, Xin, 2011. "On China's energy intensity statistics: Toward a comprehensive and transparent indicator," Energy Policy, Elsevier, vol. 39(11), pages 7284-7289.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:11:p:7284-7289
    DOI: 10.1016/j.enpol.2011.08.050
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    References listed on IDEAS

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    Cited by:

    1. Lei Jiang & Minhe Ji, 2016. "China’s Energy Intensity, Determinants and Spatial Effects," Sustainability, MDPI, Open Access Journal, vol. 8(6), pages 1-15, June.
    2. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    3. Radovanović, Mirjana & Filipović, Sanja & Pavlović, Dejan, 2017. "Energy security measurement – A sustainable approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1020-1032.
    4. repec:eee:chieco:v:48:y:2018:i:c:p:102-113 is not listed on IDEAS
    5. 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.
    6. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    7. Li, Huimin & Wu, Tong & Zhao, Xiaofan & Wang, Xiao & Qi, Ye, 2014. "Regional disparities and carbon “outsourcing”: The political economy of China's energy policy," Energy, Elsevier, vol. 66(C), pages 950-958.
    8. repec:eee:enepol:v:116:y:2018:i:c:p:337-343 is not listed on IDEAS

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    Keywords

    Energy intensity; Statistics; China;

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