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Scientific Article details

Title Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China
ID_Doc 33399
Authors Cheng, YY; Shao, TY; Lai, HL; Shen, MH; Li, Y
Title Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China
Year 2019
Published International Journal Of Environmental Research And Public Health, 16.0, 20
DOI 10.3390/ijerph16203814
Abstract Urban agglomerations are not only the core areas leading economic growth but also the fronts facing severe resource and environmental challenges. This paper aimed to increase our understanding of urban eco-efficiency and its influencing factors and thus provide the scientific basis for green development. We developed a model that incorporates super-efficiency, slacks-based-measure, and global-frontier technology to calculate the total-factor eco-efficiency (TFEE) and used a spatial panel Tobit model to take into account spatial spillover effects. An empirical study was conducted utilizing a prefecture-level dataset in the Yangtze River Delta Urban Agglomeration (YRDUA) from 2003 to 2016. The main findings reveal that significant spatial differences exist in TFEE in the YRDUA: high-TFEE cities were majorly located in the coastal areas, while low-TFEE cities were mostly situated inland. Overall, TFEE shows a trend of "decline first and then rise with fluctuation"; the disparity between inland and coastal regions has expanded. Further regression analysis suggests that industrial structure, environmental regulation, and innovation were positively related to TFEE, while foreign direct investment was not conducive to the growth in TFEE. The relationship between population intensity and urban eco-efficiency is an inverted U-shaped curve. Finally, several specific policy implications were raised based on the results.
Author Keywords sustainable development; urban; eco-efficiency; influencing factors; SBM; DEA; spatial panel model; Tobit model; Yangtze River Delta Urban Agglomeration
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000494779100028
WoS Category Environmental Sciences; Public, Environmental & Occupational Health
Research Area Environmental Sciences & Ecology; Public, Environmental & Occupational Health
PDF https://www.mdpi.com/1660-4601/16/20/3814/pdf?version=1570697665
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