Assessing ecological efficiency of China's urban agglomerations using data envelopment analysis

被引：4
作者：
Wu, Jie [1 ]
Pan, Yinghao [1 ]
Zhou, Zhixiang [2 ]
Liang, Xiaoxing [3 ]
机构：
[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
[2] Hefei Univ Technol, Sch Econ, Hefei 230009, Peoples R China
[3] Univ Sci & Technol China, Sch Publ Affairs, Hefei 230026, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION | 2021年 / 70卷 / 3-4期
关键词：
air pollution; efficiency assessment; DEA; data envelopment analysis; urban agglomeration;
D O I：
10.1504/IJEP.2021.132007
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Air pollution is an increasingly serious problem in urban areas as urban agglomerations develop. Ecological efficiency assessment is a key method of regional environmental regulation, and data envelopment analysis (DEA) models are widely utilised to compute ecological efficiency scores in the presence of stochastic factors. This paper focuses on two kinds of relationships among cities within urban agglomerations and constructs DEA models by inserting the different relationship matrices. The new models are utilised to assess the ecological efficiency of China's three major urban agglomerations, namely "Beijing-Tianjin-Hebei", "Yangtze River Delta", and "Guangdong-Hong Kong-Macao Greater Bay Area", using a system with pollution emission indexes. The results of our empirical study illustrate the performance of urban agglomerations from 2014 to 2019 and provide details about efficiency scores for their member cities.
引用
收藏
页码：184 / 202
页数：20
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