Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution
As a highly developed spatial form of integrated cities, urban agglomeration has become an important fulcrum for promoting economic development and regional growth. Green urban efficiency is the key to achieving green growth in a country. This study propose a slack-based model with undesirable outpu...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.1121333/full |
| _version_ | 1797948105096691712 |
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| author | Xiaofei Lv Lu Wang |
| author_facet | Xiaofei Lv Lu Wang |
| author_sort | Xiaofei Lv |
| collection | DOAJ |
| description | As a highly developed spatial form of integrated cities, urban agglomeration has become an important fulcrum for promoting economic development and regional growth. Green urban efficiency is the key to achieving green growth in a country. This study propose a slack-based model with undesirable output to evaluate the green urbanization of 18 urban agglomerations in China. Analysis was performed using the integrated barycenter coordinate method, standard deviation ellipses, and the geographic detector model to determine the spatial–temporal characteristics of green urbanization efficiency and the factors that influence urban agglomerations. We found that the green urbanization efficiency of urban agglomerations in China, when plotted, revealed a curve with the shape of “∧,” which increased at first and then decreased. The spatial differentiation characteristics were not obvious as the gap was narrowing. The center of green urbanization efficiency in China’s urban agglomerations has always been located in the Central Plains, with a small overall span and a relatively fixed position. The barycenter coordinates showed a trend of shifting from east to north, but the transfer speed and rhythm were relatively slow. The explanatory power of the various factors influencing the spatial differentiation of green urbanization efficiency of urban agglomerations differed markedly. The magnitude of importance was in the order of: urban population scale > investment growth > technology level > economic development > industrial structure. |
| first_indexed | 2024-04-10T21:39:21Z |
| format | Article |
| id | doaj.art-82a02f8f2a104e3cabd4cc97f6c3b198 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-10T21:39:21Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-82a02f8f2a104e3cabd4cc97f6c3b1982023-01-19T07:35:58ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-01-011010.3389/feart.2022.11213331121333Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolutionXiaofei LvLu WangAs a highly developed spatial form of integrated cities, urban agglomeration has become an important fulcrum for promoting economic development and regional growth. Green urban efficiency is the key to achieving green growth in a country. This study propose a slack-based model with undesirable output to evaluate the green urbanization of 18 urban agglomerations in China. Analysis was performed using the integrated barycenter coordinate method, standard deviation ellipses, and the geographic detector model to determine the spatial–temporal characteristics of green urbanization efficiency and the factors that influence urban agglomerations. We found that the green urbanization efficiency of urban agglomerations in China, when plotted, revealed a curve with the shape of “∧,” which increased at first and then decreased. The spatial differentiation characteristics were not obvious as the gap was narrowing. The center of green urbanization efficiency in China’s urban agglomerations has always been located in the Central Plains, with a small overall span and a relatively fixed position. The barycenter coordinates showed a trend of shifting from east to north, but the transfer speed and rhythm were relatively slow. The explanatory power of the various factors influencing the spatial differentiation of green urbanization efficiency of urban agglomerations differed markedly. The magnitude of importance was in the order of: urban population scale > investment growth > technology level > economic development > industrial structure.https://www.frontiersin.org/articles/10.3389/feart.2022.1121333/fullgreen urbanization efficiencygreen developmentspatial–temporal evolutioninfluencing factorurban agglomeration |
| spellingShingle | Xiaofei Lv Lu Wang Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution Frontiers in Earth Science green urbanization efficiency green development spatial–temporal evolution influencing factor urban agglomeration |
| title | Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution |
| title_full | Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution |
| title_fullStr | Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution |
| title_full_unstemmed | Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution |
| title_short | Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution |
| title_sort | green urbanization efficiency of 18 urban agglomerations in china evidence from spatial temporal evolution |
| topic | green urbanization efficiency green development spatial–temporal evolution influencing factor urban agglomeration |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.1121333/full |
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