Assessing ecological efficiency of China's urban agglomerations using data envelopment analysis Online publication date: Thu, 06-Jul-2023
by Jie Wu; Yinghao Pan; Zhixiang Zhou; Xiaoxing Liang
International Journal of Environment and Pollution (IJEP), Vol. 70, No. 3/4, 2021
Abstract: 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.
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