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Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator

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  • Miao, Zhuang
  • Chen, Xiaodong
  • Baležentis, Tomas
  • Sun, Chuanwang

Abstract

This paper adopts data envelopment analysis, namely the range adjusted measure (RAM) which is based on the additive structure, to measure the technical efficiency and productivity change. Note that we distinguish among energy and non-energy inputs in the analysis. The Luenberger productivity indicator is decomposed for the provinces of China for the period of 2006–2015. Specifically, we seek to identify the key directions for energy conservation and emission reduction by analyzing the environmental productivity change decomposition. The results show that sulfur dioxide and carbon dioxide emissions from primary energy consumption along with primary energy consumption are important variables contributing to atmospheric environmental inefficiency in Chinese provinces. Furthermore, static efficiency scores associated with energy consumption and atmospheric emission (sulfur dioxide, nitrogen oxides and carbon dioxide emissions) are lower for Hebei, Shandong, Henan and Shanxi in North China, whereas Beijing, Tianjin, Shanghai, Guangdong and Fujian show higher values of this kind of efficiency. Atmospheric emissions contribute to the growth in the atmospheric environmental productivity to a higher extent if compared to energy consumption. Therefore, Chinese energy policy should address the environmental regulation of energy consumption.

Suggested Citation

  • Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
  • Handle: RePEc:eee:enepol:v:132:y:2019:i:c:p:665-677
    DOI: 10.1016/j.enpol.2019.06.019
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    References listed on IDEAS

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    Cited by:

    1. Chen, Xiaodong & Wu, Ge & Li, Ding, 2019. "Efficiency measure on the truck restriction policy in China: A non-radial data envelopment model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 140-154.
    2. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, Open Access Journal, vol. 11(23), pages 1-28, November.

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