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The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions

Author

Listed:
  • Jie Wu

    (University of Science and Technology of China)

  • Dacheng Huang

    (University of Science and Technology of China)

  • Zhixiang Zhou

    (Hefei University of Technology)

  • Qingyuan Zhu

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

Abstract

The rapid economic development of China has intensified the country’s many problems. Among them, energy shortage and environmental pollution are two main problems, which highly affects the economic growth and sustainable development. To achieve more rapid green growth, the innovative technology by reusing the environmental wastes has been widely used since doing so not only decreases the environment pollution, but also further brings more natural resource. The present paper establishes a two-stage structure for evaluating the regional green growth and sustainable development in China by calculating the efficiency of “energy saving” and “pollution treatment” separately. Specifically, a set of models based on slack-based measure approach are constructed in which non-discretionary inputs can be calculated in both resource utilization stage and pollution treatment stage. Comparing with the traditional models, the new proposed models can measure the performance of resources saving and pollution treatment with considering the influence of non-discretionary inputs. An empirical application on Chinese 30 regions during 2011–2015 have been done to illustrate the use of our framework and the performance of regional green growth and sustainable development. Based on the efficiency results, we find that the efficiency scores of the provinces in central and northeast area are lower, which is mostly caused by their poor performance on “pollution treatment”. Both the environmental efficiency scores and target values for performance improvement are obtained in this paper to enlighten the corresponding decision-makers.

Suggested Citation

  • Jie Wu & Dacheng Huang & Zhixiang Zhou & Qingyuan Zhu, 2020. "The regional green growth and sustainable development of China in the presence of sustainable resources recovered from pollutions," Annals of Operations Research, Springer, vol. 290(1), pages 27-45, July.
    • Handle: RePEc:spr:annopr:v:290:y:2020:i:1:d:10.1007_s10479-019-03226-x
    DOI: 10.1007/s10479-019-03226-x
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    Cited by:

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    2. Haochang Yang & Xuan Zhu, 2022. "Research on Green Innovation Performance of Manufacturing Industry and Its Improvement Path in China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    3. Shumin Dong & Yuting Xue & Guixiu Ren & Kai Liu, 2022. "Urban Green Innovation Efficiency in China: Spatiotemporal Evolution and Influencing Factors," Land, MDPI, vol. 12(1), pages 1-13, December.
    4. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Jiao Hou & Xinhai Lu & Shiman Wu & Shangan Ke & Jia Li, 2022. "Analysis of the Dynamic Relationship between Green Economy Efficiency and Urban Land Development Intensity in China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    6. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.
    7. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).

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