Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China

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 develop...

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Published inInternational journal of environmental research and public health Vol. 16; no. 20; p. 3814
Main Authors Cheng, Yongyi, Shao, Tianyuan, Lai, Huilin, Shen, Manhong, Li, Yi
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 10.10.2019
MDPI
Subjects
China
Cities
Consumption
Data envelopment analysis
Economic Development
Economic models
Efficiency
Environmental regulations
Humans
Industrial plant emissions
Linear programming
Models, Theoretical
Population Density
Power plants
Regression Analysis
Regulation
Rivers
Sustainable Development
Urbanization
China
Cities
Yangtze River Delta
Yangtze River
Yangtze River Delta Urban Agglomeration
influencing factors
sustainable development
DEA
eco-efficiency
urban
spatial panel model
Tobit model
SBM
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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.
AbstractList 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.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.
According to Kuosmanen [5], eco-efficiency emphasizes acquiring economic output with minimal natural resources consumption and environmental degradation. Since eco-efficiency essentially reflects the effectiveness of input and output, it is suitable for the application of frontier analysis methods, which mainly including the Data Envelopment Analysis (DEA) method [6] and the Stochastic Frontier Analysis (SFA) method. [...]compared with numerous studies that focused on the provincial and sectoral level [21], much less attention has been paid to the eco-efficiency of cities, especially that of the emerging cities in developing countries [26]. To address these limitations of extant studies, this paper extends research at the provincial and sectoral level to the urban level utilizing a prefecture-level panel dataset in the Yangtze River Delta Urban Agglomeration (YRDUA), China, during the period of 2003–2016, and constructs a model that incorporated the super-efficiency DEA model with slacks-based-measure and global-frontier technology (SSBM-GF) to estimate total-factor eco-efficiency (TFEE). [...]to take into account spatial spillover effects, a spatial panel Tobit model is constructed to analyze the influencing factors of urban eco-efficiency. Furthermore, Pastor and Lovell [15] introduced a global benchmark technology to address the “technical regress” problem [11,12]. [...]to ensure that the calculations were accurate, we combined the super-efficiency SBM model with global frontier technology to construct a Super-efficiency Slacks-based Measure Global Frontier (SSBM-GF) model.
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 Lai, Huilin
Shao, Tianyuan
Shen, Manhong
Cheng, Yongyi
Li, Yi
AuthorAffiliation 4 International United Faculty between Ningbo University and University of Angers, Ningbo University, Ningbo 315211, China
3 East China Sea Institute, Ningbo University, Ningbo 315211, China
2 Center for Ecological Civilization of Yangtze River Delta, Ningbo University, Ningbo 315211, China
1 School of Business, Ningbo University, Ningbo 315211, China; styka1@163.com (T.S.); laihuilin1125@outlook.com (H.L.); smh@nbu.edu.cn (M.S.)
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/31658650$$D View this record in MEDLINE/PubMed
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Keywords Yangtze River Delta Urban Agglomeration
influencing factors
sustainable development
DEA
eco-efficiency
urban
spatial panel model
Tobit model
SBM
Language English
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Snippet Urban agglomerations are not only the core areas leading economic growth but also the fronts facing severe resource and environmental challenges. This paper...
According to Kuosmanen [5], eco-efficiency emphasizes acquiring economic output with minimal natural resources consumption and environmental degradation. Since...
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SubjectTerms China
Cities
Consumption
Data envelopment analysis
Economic Development
Economic models
Efficiency
Environmental regulations
Humans
Industrial plant emissions
Linear programming
Models, Theoretical
Population Density
Power plants
Regression Analysis
Regulation
Rivers
Sustainable Development
Urbanization
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Title Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China
URI https://www.ncbi.nlm.nih.gov/pubmed/31658650
https://www.proquest.com/docview/2329644319
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