Comprehensive Measurement and Regional Imbalance of China’s Green Development Performance

This study adopted the two-stage super-efficiency network slack-based model (SBM) to measure the green development performance index (GDPI) of 30 provinces in China. The Dagum Gini coefficient decomposition was used to analyze the regional differences and their sources in China’s green development p...

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Bibliographic Details
Main Authors: Shengyun Wang, Yaxin Zhang, Huwei Wen
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/3/1409
Description
Summary:This study adopted the two-stage super-efficiency network slack-based model (SBM) to measure the green development performance index (GDPI) of 30 provinces in China. The Dagum Gini coefficient decomposition was used to analyze the regional differences and their sources in China’s green development performance. The results are as follows: first, the green development performance showed a declining trend from 1997 to 2017. The improvement of environmental governance efficiency was the key to achieving green development progress. The green development levels of coastal areas were significantly higher than those of inland provinces. Second, the regional imbalance in China’s green development performance was gradually worsening. The inter-regional differences were the primary source of the overall differences. The intra-regional difference of green development within the northwest was the largest. Third, among the eight regions, only the southwest region had <i>σ</i> convergence in green development performance; in addition, absolute <i>β</i> convergence and conditional <i>β</i> convergence were divergent, thereby confirming the regional imbalance of the widening regional differences in China’s green development performance. This study aimed to provide a scientific basis and effective reference for further advancing China’s regional coordinated development strategy.
ISSN:2071-1050