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Assessment analysis of green development level based on S-type cloud model of Beijing-Tianjin-Hebei, China

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  • Li, Ye
  • Chen, Yiyan
  • Li, Qun

Abstract

As the environment suffers from various forms of destruction, especially irreversible destruction, the idea of green development is getting more and more attention by all countries over the world. Nevertheless, for the coexistence of fuzziness of evaluation grade thresholds' selecting and evaluation indexes’ random error, the existing research on green development evaluation has not been involved. Therefore, aiming at this practical problem, this study proposes an evaluation method based on S-type cloud model, which be able to deal with the uncertainties of fuzziness and randomness concurrently. Furthermore, this method is adopted to assess the green development level of Beijing-Tianjin-Hebei (BTH) region, including 13 cities in China. The evaluation index system is established in terms of five dimensions: living environment, pollutant treatment and utilization, ecological efficiency, economic growth and innovative potential. The empirical results show that the overall level of pollutant treatment and utilization in Beijing-Tianjin-Hebei region is high while it is seemed to lack coordination between cities in other dimensions. This evaluation method proposed by this study can play the following key role: providing a new entry point for researches of green development, and also providing reference or guidance for the government in formulating public policies on green development.

Suggested Citation

  • Li, Ye & Chen, Yiyan & Li, Qun, 2020. "Assessment analysis of green development level based on S-type cloud model of Beijing-Tianjin-Hebei, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:rensus:v:133:y:2020:i:c:s1364032120305347
    DOI: 10.1016/j.rser.2020.110245
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    7. Long, Ruyin & Li, Haifeng & Wu, Meifen & Li, Wenbo, 2021. "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, Elsevier, vol. 74(C).

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