Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi
Urbanization has an abundant connotation in dimensions such as population, economy, land, and society and is an important sign to measure regional economic development and social progress. The use of Night Light Data from remote sensing satellites as a proxy variable can significantly improve the ac...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/3/415 |
| _version_ | 1797446142690066432 |
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| author | Lin Li Kaixu Zhao Xinyu Wang Sidong Zhao Xingguang Liu Weiwei Li |
| author_facet | Lin Li Kaixu Zhao Xinyu Wang Sidong Zhao Xingguang Liu Weiwei Li |
| author_sort | Lin Li |
| collection | DOAJ |
| description | Urbanization has an abundant connotation in dimensions such as population, economy, land, and society and is an important sign to measure regional economic development and social progress. The use of Night Light Data from remote sensing satellites as a proxy variable can significantly improve the accuracy and comprehensiveness of the measurement of urbanization development dynamics. Based on the Night Light Data and statistical data from 2015 to 2019, this paper quantitatively analyzes the spatio-temporal evolution pattern of urbanization in Guangxi and its driving mechanism using exploratory time-space data analysis, GeoDetector and Matrix: Boston Consulting Group, providing an important basis for sustainable urban development planning and scientific decision-making by the government. The findings show that (1) there is a high level of spatial heterogeneity and spatial autocorrelation of urbanization in Guangxi, with the Gini index of urban night light index and urban night light expansion vitality index always greater than 0.5, the global Moran’s I greater than 0.17, the spatial differentiation converging but the spatial correlation increasing. (2) The spatial pattern of urbanization in Guangxi has long been solidified, but there is a differentiation in urban development trend, with the coexistence of urban expansion and shrinkage, requiring differentiated policy design for urban governance. (3) The development and evolution of urbanization in Guangxi present a complex intertwined dynamic mechanism of action, with interaction effects of bifactor enhancement and non-linear enhancement among factors. It should be noted that the influence of factors varies greatly, with the added value of the tertiary industry, gross domestic product, total retail sales of social consumer goods having the strongest direct effect on the urban night light index, while the added value of secondary industry, per capita GDP, gross domestic product having the strongest direct effect on the urban night light expansion vitality index. All of them are key factors, followed by some significant influence factors such as government revenue, population urbanization rate, per government revenue, population urbanization rate, per capita disposable income of urban and rural residents that should not be ignored, and the rest that play indirect roles mainly by interaction. |
| first_indexed | 2024-03-09T13:35:58Z |
| format | Article |
| id | doaj.art-54fafa3ac0974375b2c24a15c1aae88b |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T13:35:58Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-54fafa3ac0974375b2c24a15c1aae88b2023-11-30T21:11:34ZengMDPI AGLand2073-445X2022-03-0111341510.3390/land11030415Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from GuangxiLin Li0Kaixu Zhao1Xinyu Wang2Sidong Zhao3Xingguang Liu4Weiwei Li5Hualan Design & Consulting Group, Nanning 530011, ChinaCollege of Urban and Environmental Science, Northwest University, Xi’an 710127, ChinaHualan Design & Consulting Group, Nanning 530011, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaHualan Design & Consulting Group, Nanning 530011, ChinaCollege of Landscape and Architectural Engineering, Guangxi Agricultural Vocational University, Nanning 530007, ChinaUrbanization has an abundant connotation in dimensions such as population, economy, land, and society and is an important sign to measure regional economic development and social progress. The use of Night Light Data from remote sensing satellites as a proxy variable can significantly improve the accuracy and comprehensiveness of the measurement of urbanization development dynamics. Based on the Night Light Data and statistical data from 2015 to 2019, this paper quantitatively analyzes the spatio-temporal evolution pattern of urbanization in Guangxi and its driving mechanism using exploratory time-space data analysis, GeoDetector and Matrix: Boston Consulting Group, providing an important basis for sustainable urban development planning and scientific decision-making by the government. The findings show that (1) there is a high level of spatial heterogeneity and spatial autocorrelation of urbanization in Guangxi, with the Gini index of urban night light index and urban night light expansion vitality index always greater than 0.5, the global Moran’s I greater than 0.17, the spatial differentiation converging but the spatial correlation increasing. (2) The spatial pattern of urbanization in Guangxi has long been solidified, but there is a differentiation in urban development trend, with the coexistence of urban expansion and shrinkage, requiring differentiated policy design for urban governance. (3) The development and evolution of urbanization in Guangxi present a complex intertwined dynamic mechanism of action, with interaction effects of bifactor enhancement and non-linear enhancement among factors. It should be noted that the influence of factors varies greatly, with the added value of the tertiary industry, gross domestic product, total retail sales of social consumer goods having the strongest direct effect on the urban night light index, while the added value of secondary industry, per capita GDP, gross domestic product having the strongest direct effect on the urban night light expansion vitality index. All of them are key factors, followed by some significant influence factors such as government revenue, population urbanization rate, per government revenue, population urbanization rate, per capita disposable income of urban and rural residents that should not be ignored, and the rest that play indirect roles mainly by interaction.https://www.mdpi.com/2073-445X/11/3/415urbanizationland-use changenight lightspatio-temporal patternsChina |
| spellingShingle | Lin Li Kaixu Zhao Xinyu Wang Sidong Zhao Xingguang Liu Weiwei Li Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi Land urbanization land-use change night light spatio-temporal patterns China |
| title | Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi |
| title_full | Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi |
| title_fullStr | Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi |
| title_full_unstemmed | Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi |
| title_short | Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi |
| title_sort | spatio temporal evolution and driving mechanism of urbanization in small cities case study from guangxi |
| topic | urbanization land-use change night light spatio-temporal patterns China |
| url | https://www.mdpi.com/2073-445X/11/3/415 |
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