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

  • Jie Wu
  • Dacheng Huang
  • Zhixiang ZhouEmail author
  • Qingyuan Zhu
S.I.: SOME
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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.

Keywords

Green growth Environmental efficiency Non-discretionary input Technology innovation Slack based measure 

Notes

Acknowledgement

The research is supported by the National Natural Science Foundation of China under Grants (Nos. 71701059 and 71571173).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Jie Wu
    • 1
  • Dacheng Huang
    • 1
  • Zhixiang Zhou
    • 2
    Email author
  • Qingyuan Zhu
    • 3
    • 4
  1. 1.School of ManagementUniversity of Science and Technology of ChinaHefeiPeople’s Republic of China
  2. 2.School of EconomicsHefei University of TechnologyHefeiPeople’s Republic of China
  3. 3.College of Economics and ManagementNanjing University of Aeronautics and AstronauticsNanjingPeople’s Republic of China
  4. 4.Research Center for Soft Energy ScienceNanjing University of Aeronautics and AstronauticsNanjingChina

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