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Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach

Author

Listed:
  • Ying-yu Lu

    (Department of Public Course Teaching, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China)

  • Yue He

    (School of International Business & Languages, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China)

  • Bo Wang

    (School of International Business & Languages, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China)

  • Shuang-shuang Ye

    (School of International Business & Languages, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China)

  • Yidi Hua

    (School of International Business & Languages, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China
    Institue of Environmental Economics Research, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China)

  • Lei Ding

    (School of International Business & Languages, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China
    Institue of Environmental Economics Research, Ningbo Polytechnic, Ningbo 315800, Zhejiang, China)

Abstract

In order to sustainably and reasonably evaluate the characteristics and efficiency of regional atmospheric environment, this paper calculated the atmospheric environmental efficiency and regional differences, which is based on the non-radial directional distance function DEA model, among 11 cities in Zhejiang Province from 2006 to 2016 in both static and dynamic dimensions. Compared with existing researches, the atmospheric environmental efficiency evaluation system constructed in this paper not only considered the development of regional economy, but also focused on the air quality output so as to constrain the emission of atmospheric pollutants. The results showed that the average value of the static efficiency of atmospheric environment in Zhejiang was 0.6824 over the past ten years, and there was still about 32 percentage difference from the production frontier. The room for improvement in pollution reduction and control was still huge. The pure technical efficiency was the main factor to impede the improvement of atmospheric environment’s static efficiency in Zhejiang. Meanwhile the dynamic efficiency of atmospheric environment in Zhejiang reached an average annual rate of 7.60%, with a cumulative increase of 93.28%. As well, there were significant urban differences in the growth rate, of which Hangzhou was the fastest, followed by Ningbo and Jiaxing. The improvement of atmospheric environmental efficiency was mainly driven by technological advancement and scale efficiency expansion. The distribution of 11 cities in the four high and low environmental efficiency matrices was relatively uniform, and there was no “Matthew Effect” of H/H or L/L polarization. In the future, Zhejiang needs to formulate corresponding measures to control the atmospheric pollution by fully considering the actual conditions at different cities, and effectively strengthen the environmental management exchanges and collaboration within the province to enhance the overall atmospheric environment efficiency.

Suggested Citation

  • Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4544-:d:259689
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    References listed on IDEAS

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    Cited by:

    1. Lei Ding & Xuejuan Fang, 2022. "Spatial–temporal distribution of air-pollution-intensive industries and its social-economic driving mechanism in Zhejiang Province, China: a framework of spatial econometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1681-1712, February.
    2. Lei Ding & Kunlun Chen & Yidi Hua & Hongan Dong & Anping Wu, 2020. "Investigating the Relationship between the Industrial Structure and Atmospheric Environment by an Integrated System: A Case Study of Zhejiang, China," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    3. Heng Zhang & Qian Chang & Sui Li & Jiandong Huang, 2022. "Determining the Efficiency of the Sponge City Construction Pilots in China Based on the DEA-Malmquist Model," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    4. Wenjie Zou & Liqin Zhang & Jieying Xu & Yufeng Xie & Huangxin Chen, 2022. "Spatial–Temporal Evolution Characteristics and Influencing Factors of Industrial Pollution Control Efficiency in China," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    5. Yingyu Lu & Bo Cao & Yidi Hua & Lei Ding, 2020. "Efficiency Measurement of Green Regional Development and Its Influencing Factors: An Improved Data Envelopment Analysis Framework," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
    6. Manli Cheng & Zhen Shao & Changhui Yang & Xiaoan Tang, 2019. "Analysis of Coordinated Development of Energy and Environment in China’s Manufacturing Industry under Environmental Regulation: A Comparative Study of Sub-Industries," Sustainability, MDPI, vol. 11(22), pages 1-20, November.

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