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Measurement and decomposition of energy efficiency of Northeast China—based on super efficiency DEA model and Malmquist index

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Abstract

Nowadays, environment problem has become the international hot issue. Experts and scholars pay more and more attention to the energy efficiency. Unlike most studies, which analyze the changes of TFEE in inter-provincial or regional cities, TFEE is calculated with the ratio of target energy value and actual energy input based on data in cities of prefecture levels, which would be more accurate. Many researches regard TFP as TFEE to do analysis from the provincial perspective. This paper is intended to calculate more reliably by super efficiency DEA, observe the changes of TFEE, and analyze its relation with TFP, and it proves that TFP is not equal to TFEE. Additionally, the internal influences of the TFEE are obtained via the Malmquist index decomposition. The external influences of the TFFE are analyzed afterward based on the Tobit models. Analysis results demonstrate that Heilongjiang has the highest TFEE followed by Jilin, and Liaoning has the lowest TFEE. Eventually, some policy suggestions are proposed for the influences of energy efficiency and study results.

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Notes

  1. DEA-SBM refers to Data Envelopment Analysis Slacks-Based Measure.

  2. Da Hinggan Ling region data is not included in it.

  3. Science-technology three-expense refers to the subsidized trial manufacture of new products, interlocutory costs of experiments, and major scientific projects allowance in order to support the development of science and technology.

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Acknowledgments

This work was supported by the National Social Science Foundation of China (Grant564 No.13&ZD171).

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Correspondence to Xiaoxue Wei.

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Responsible editor: Philippe Garrigues

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Ma, X., Liu, Y., Wei, X. et al. Measurement and decomposition of energy efficiency of Northeast China—based on super efficiency DEA model and Malmquist index. Environ Sci Pollut Res 24, 19859–19873 (2017). https://doi.org/10.1007/s11356-017-9441-3

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  • DOI: https://doi.org/10.1007/s11356-017-9441-3

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