Literature DB >> 33629159

Evaluation index system design and coordinated development analysis for the industrial green development system and regional non-waste system in the Yangtze River Economic Zone.

Xiaolu Wang1, Yawen He2, Congjun Rao3.   

Abstract

Based on the research background of the new economic norm and the construction of "non-waste city" in China, this paper studies the coordinated development between the industrial green development system and the regional "non-waste" system of the Yangtze River Economic Zone. First, using the data from 11 provinces from 2013 to 2017 as samples, the comprehensive evaluation index systems for the industrial green development system and the regional "non-waste" system are constructed, respectively. Then, considering the multi-source heterogeneous characteristics of the evaluation index data, the two-tuple linguistic entropy weight method, and gray relational analysis method are applied to filter the evaluation indexes and determine the index weights respectively. Third, combined with the dynamic TOPSIS idea, a new improved coupling coordination degree model is proposed to study the coordination development between the two systems. Finally, an empirical analysis is made, and the result shows that the overall degree of coupling coordination of the two systems shows a fluctuating upward trend. Moreover, the provinces are mainly low-level coupling coordination, and the factors that are hindered in various regions are different.

Keywords:  Improved coupling coordination model; Industrial green development system; Linguistic two-tuple; Regional “non-waste” system; Yangtze River Economic Zone

Year:  2021        PMID: 33629159     DOI: 10.1007/s11356-021-12807-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.

Authors:  Rui Zhang; Yong Ma; Jie Ren
Journal:  Int J Environ Res Public Health       Date:  2022-07-29       Impact factor: 4.614

  1 in total

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