Environmental efficiency has become a key indicator in describing the capacity of regional resource utilization with consideration of the negative externality to nature. Notably, with the development of urban agglomerations all over the world, the role and strategy of efficiency measurement for cities should be reorganized to deal with the complex rela-tionships among cities based on urban agglomerations. In this paper, we construct a set of data envelopment analysis (DEA) models based on a peer-evaluation mode with consideration to the cooperative relationships among cities within the same urban agglomeration together with the competitive relationships between different urban agglomerations. Then, this paper we analyze the environmental efficiency of 48 Chinese mainland cities belonging to the Beijing-Tianjin-Hebei Urb-an Agglomeration (BTHUA), Yangtze River Delta Urban Agglomerations (YRDUA), and Guangdong-Hong Kong-Ma-cao Greater Bay Area (GHMGBA). This was accomplished during 2014 to 2019 by using four inputs, two desirable out-puts, and two undesirable outputs. The results of efficiency scores indicate that the environmental efficiency trend in-creased during the time series from 2014 to 2019 while the difference on environmental efficiency among different cities and urban agglomerations are significant. The BTHUA is the best performing urban agglomeration with much higher en-vironmental efficiency scores in all the years. Besides, this paper selected 11 influencing factors based on three different angles to analyze the internal and external environments to environmental efficiency scores for providing further inspira-tion to managers.

Xiaoxing Liang;Zhixiang Zhou

School of Public Affairs,University of Science and Technology of China,Hefei 230026,China;School of Economics,Hefei University of Technology,Hefei 230009,China

中国科学技术大学学报

[1]Xiaoxing Liang;Zhixiang Zhou-.Cooperation and competition among urban agglomerations in environmental efficiency measurement: A cross-efficiency approach)[J].中国科学技术大学学报,2022(04):15-25

Urb,BTHUA,Agglomerations,YRDUA,cao,GHMGBA,inspira

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