Spatiotemporal Evolution of Urban Land Green Utilization Efficiency and Driving Factors: An Empirical Study Based on Spatial Econometrics

Green development is an inevitable choice for sustainable development under the constraints of environmental resources. This paper attempts to explore the connotation of urban land green utilization efficiency (LGUE) and reveal its spatial differentiation characteristics. This study adopts the super-SBM model to measure LGUE from 2009 to 2022 and analyzes the spatiotemporal variation rules. Then, the study reveals the spatial influencing factors of LGUE, drawing the following conclusions: (1) the average efficiency value of LGUE at the national level is still at a low level, but it is on an upward trend. There are significant differences in LGUE among the eastern, central, and western regions, with the highest LGUE in the eastern region and the lowest in the western region. (2) The spatial distribution of LGUE in various cities across the country is not entirely random but shows significant spatial autocorrelation characteristics. The improvement in LGUE in a region can improve the surrounding region’s LGUE. (3) Economic development level promotes the improvement of local city LGUE, but its impact on LGUE of surrounding neighboring cities is not significant; local city industrial structure upgrading can improve LGUE in both local and neighboring cities; foreign investment in local cities can promote LGUE in both local and neighboring cities; the increase in population density will hinder LGUE in local cities but improve surrounding cities LGUE. The intervention degree of local city government will suppress the improvement of LGUE in both local and neighboring cities.

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Publication Details

Journal
Land
Published
2024-08-12
DOI
https://doi.org/10.3390/land13081272
Citations
4
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
1.13
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article

Spatiotemporal Evolution of Urban Land Green Utilization Efficiency and Driving Factors: An Empirical Study Based on Spatial Econometrics

Junlan Tan, Xiang Su, Rong Wang
4 citations
Land
Land Use and Ecosystem Services
1.13
article

Spatiotemporal Evolution of Urban Land Green Utilization Efficiency and Driving Factors: An Empirical Study Based on Spatial Econometrics

Junlan Tan, Xiang Su, Rong Wang
article en
4 citations

Abstract

Green development is an inevitable choice for sustainable development under the constraints of environmental resources. This paper attempts to explore the connotation of urban land green utilization efficiency (LGUE) and reveal its spatial differentiation characteristics. This study adopts the super-SBM model to measure LGUE from 2009 to 2022 and analyzes the spatiotemporal variation rules. Then, the study reveals the spatial influencing factors of LGUE, drawing the following conclusions: (1) the average efficiency value of LGUE at the national level is still at a low level, but it is on an upward trend. There are significant differences in LGUE among the eastern, central, and western regions, with the highest LGUE in the eastern region and the lowest in the western region. (2) The spatial distribution of LGUE in various cities across the country is not entirely random but shows significant spatial autocorrelation characteristics. The improvement in LGUE in a region can improve the surrounding region’s LGUE. (3) Economic development level promotes the improvement of local city LGUE, but its impact on LGUE of surrounding neighboring cities is not significant; local city industrial structure upgrading can improve LGUE in both local and neighboring cities; foreign investment in local cities can promote LGUE in both local and neighboring cities; the increase in population density will hinder LGUE in local cities but improve surrounding cities LGUE. The intervention degree of local city government will suppress the improvement of LGUE in both local and neighboring cities.

LandVol. 13(8)
Jiangsu University of Science and Technology (CN), Nanjing Xiaozhuang University (CN)
Openalex Percentile: Top 23%
Land Use and Ecosystem Services
1.13
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Spatiotemporal Evolution of Urban Land Green Utilization Efficiency and Driving Factors: An Empirical Study Based on Spatial Econometrics — Junlan Tan, Xiang Su, et al. · Land (2024) | TGRS Research Map | TGRS