LAPSE:2023.28174
Published Article

LAPSE:2023.28174
Study on Spatiotemporal Features and Factors Influencing the Urban Green Total Factor Productivity in the Yellow River Basin under the Constraint of Pollution Reduction and Carbon Reduction
April 11, 2023
Abstract
Whether cities can attain a win-win situation with simultaneous environmental protection and economic growth is a compelling issue in current urban development. It will be of great practical significance to comprehensively evaluate the implementation effect of the multi-dimensional goals of an urban development from the perspective of a green total factor productivity (GTFP) evaluation. The paper places pollution reduction and carbon reduction into the research framework of GTFP, introduces the SBM-DDF model to evaluate the urban GTFP of 58 cities in the Yellow River Basin (YRB) from 2006 to 2020, and employs the panel regression model to empirically study the factors influencing the urban GTFP of the region. The results are obtained as follows: (1) from the perspective of time range, the urban GTFP in the basin displays an evolutionary trend of first declining and then mounting, demonstrating the highest GTFP in the downstream, the second-highest in the midstream and the lowest in the upstream; (2) regarding the spatial distribution characteristics, the urban GTFP in the basin presents obvious spatial differences, showing the regional differences by increasing from the upstream to the downstream; (3) from the perspective of the whole basin, the advancement of economic development, urbanization processes, environmental regulations and the ecological background have significantly positive effects in improving the urban GTFP, while the improvement of the industrial structure, opening-up and energy intensity affects the urban GTFP of the basin negatively; and (4) from the perspective of the regional heterogeneity of the effects of the various influencing factors, the improvement of the opening-up and industrial structure expedites the growth of the urban GTFP of the downstream, the advancement of urbanization process restrains the urban GTFP in the upstream and the impact of the ecological background on the urban GTFP in different regions is relatively complex. This study is of great importance to improve the urban GTFP and boost the high-quality development of the cities in the basin.
Whether cities can attain a win-win situation with simultaneous environmental protection and economic growth is a compelling issue in current urban development. It will be of great practical significance to comprehensively evaluate the implementation effect of the multi-dimensional goals of an urban development from the perspective of a green total factor productivity (GTFP) evaluation. The paper places pollution reduction and carbon reduction into the research framework of GTFP, introduces the SBM-DDF model to evaluate the urban GTFP of 58 cities in the Yellow River Basin (YRB) from 2006 to 2020, and employs the panel regression model to empirically study the factors influencing the urban GTFP of the region. The results are obtained as follows: (1) from the perspective of time range, the urban GTFP in the basin displays an evolutionary trend of first declining and then mounting, demonstrating the highest GTFP in the downstream, the second-highest in the midstream and the lowest in the upstream; (2) regarding the spatial distribution characteristics, the urban GTFP in the basin presents obvious spatial differences, showing the regional differences by increasing from the upstream to the downstream; (3) from the perspective of the whole basin, the advancement of economic development, urbanization processes, environmental regulations and the ecological background have significantly positive effects in improving the urban GTFP, while the improvement of the industrial structure, opening-up and energy intensity affects the urban GTFP of the basin negatively; and (4) from the perspective of the regional heterogeneity of the effects of the various influencing factors, the improvement of the opening-up and industrial structure expedites the growth of the urban GTFP of the downstream, the advancement of urbanization process restrains the urban GTFP in the upstream and the impact of the ecological background on the urban GTFP in different regions is relatively complex. This study is of great importance to improve the urban GTFP and boost the high-quality development of the cities in the basin.
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Keywords
pollution reduction and carbon reduction, SBM-DDF model, the Yellow River Basin, urban green total factor productivity
Subject
Suggested Citation
Yang Y, Chen L, Su Z, Wang W, Wang Y, Luo X. Study on Spatiotemporal Features and Factors Influencing the Urban Green Total Factor Productivity in the Yellow River Basin under the Constraint of Pollution Reduction and Carbon Reduction. (2023). LAPSE:2023.28174
Author Affiliations
Yang Y: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Chen L: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Su Z: School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Wang W: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Wang Y: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Luo X: School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Chen L: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Su Z: School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Wang W: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Wang Y: School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Luo X: School of Public Administration, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Journal Name
Processes
Volume
11
Issue
3
First Page
730
Year
2023
Publication Date
2023-03-01
ISSN
2227-9717
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Original Submission
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PII: pr11030730, Publication Type: Journal Article
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LAPSE:2023.28174
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https://doi.org/10.3390/pr11030730
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Apr 11, 2023
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