Regional Differences of Digital Rural Construction in China and Driving Factors
The digital rural strategy emerged in the context of the high integration of digital economy and rural revitalization, and is an important starting point for effectively promoting rural revitalization and common prosperity. Exploring the development and evolution trend of digital rural construction...
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Editorial Committee of Tropical Geography
2025-01-01
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| Online Access: | https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003833 |
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| author | Zeng Yongming Zhong Zikang |
| author_facet | Zeng Yongming Zhong Zikang |
| author_sort | Zeng Yongming |
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| description | The digital rural strategy emerged in the context of the high integration of digital economy and rural revitalization, and is an important starting point for effectively promoting rural revitalization and common prosperity. Exploring the development and evolution trend of digital rural construction at the county level and its driving factors helps clarify the advantages and disadvantages of digital rural development in different regions, formulate targeted development measures tailored to local conditions, and realize the "equal improvement on quantity and quality" of digital rural construction." This study was based on the China County-level Digital Rural Index from 2019 to 2020, and it used spatial panel models and spatiot-emporal geographic weighted regression models to explore the regional differences and driving factors of county-level digital rural construction. The following results were obtained: 1) There are significant regional differences in the level of digital rural construction, showing a decreasing "ladder like" spatial differentiation pattern from the eastern coastal areas to the inland areas.2) The construction of digital rural areas has obvious spatial agglomeration characteristics. Specifically, it is manifested as "high concentration" in parts of the eastern and central regions, and "low concentration" in the western and northeastern regions. In addition, the four sub-dimensional indexes—rural digital infrastructure, rural economic digitalization, rural governance digitalization, and rural life digitalization—show evident spatial differentiation characteristics, with the "Hu Huanyong Line" as the boundary. 3) Regarding mechanism, the spatial panel model was used to verify that government functions, economic foundations, digital foundations, and human capital were important driving factors for the construction of county-level digital rural areas. Combined with the advantages of Geographically and Temporally Weighted Regression model for local parameter estimation, this study verified that different driving factors had significant spatial heterogeneity effects on the construction of digital rural areas in different county-level units. Based on the above-stated conclusions, this study began with the commonalities and characteristics of county-level digital rural construction and proposed that while improving the overall level of digital rural construction, each county-level unit should combine its own advantages and weaknesses, targeting their respective factor endowments and key driving factors, and collaborate to accurately facilitate rural digitization. This study explored the spatiotemporal differentiation characteristics and driving factors of China's digital rural construction at the county level. It has the advantages of reaching the grassroots level and being more detailed and comprehensive compared with provincial scale and municipal scale, which has certain supplementary value to existing research. Moreover, based on the spatial perspective, this study systematically considered the potential spatial heterogeneity characteristics of digital rural construction and used the spatial panel and spatiotemporal geographical weighted regression models to identify the driving factors of digital rural construction, which can help understand the internal driving forces of China's current county digital transformation. |
| format | Article |
| id | doaj-art-e94a0a53afdd4f3995643682cf5f96ff |
| institution | Kabale University |
| issn | 1001-5221 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Committee of Tropical Geography |
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| series | Redai dili |
| spelling | doaj-art-e94a0a53afdd4f3995643682cf5f96ff2025-01-24T08:32:20ZzhoEditorial Committee of Tropical GeographyRedai dili1001-52212025-01-01451526510.13284/j.cnki.rddl.0038331001-5221(2025)01-0052-14Regional Differences of Digital Rural Construction in China and Driving FactorsZeng Yongming0Zhong Zikang1School of Economics, Jiangxi University of Finance and Economics, Nanchang330013, ChinaSchool of Economics, Jiangxi University of Finance and Economics, Nanchang330013, ChinaThe digital rural strategy emerged in the context of the high integration of digital economy and rural revitalization, and is an important starting point for effectively promoting rural revitalization and common prosperity. Exploring the development and evolution trend of digital rural construction at the county level and its driving factors helps clarify the advantages and disadvantages of digital rural development in different regions, formulate targeted development measures tailored to local conditions, and realize the "equal improvement on quantity and quality" of digital rural construction." This study was based on the China County-level Digital Rural Index from 2019 to 2020, and it used spatial panel models and spatiot-emporal geographic weighted regression models to explore the regional differences and driving factors of county-level digital rural construction. The following results were obtained: 1) There are significant regional differences in the level of digital rural construction, showing a decreasing "ladder like" spatial differentiation pattern from the eastern coastal areas to the inland areas.2) The construction of digital rural areas has obvious spatial agglomeration characteristics. Specifically, it is manifested as "high concentration" in parts of the eastern and central regions, and "low concentration" in the western and northeastern regions. In addition, the four sub-dimensional indexes—rural digital infrastructure, rural economic digitalization, rural governance digitalization, and rural life digitalization—show evident spatial differentiation characteristics, with the "Hu Huanyong Line" as the boundary. 3) Regarding mechanism, the spatial panel model was used to verify that government functions, economic foundations, digital foundations, and human capital were important driving factors for the construction of county-level digital rural areas. Combined with the advantages of Geographically and Temporally Weighted Regression model for local parameter estimation, this study verified that different driving factors had significant spatial heterogeneity effects on the construction of digital rural areas in different county-level units. Based on the above-stated conclusions, this study began with the commonalities and characteristics of county-level digital rural construction and proposed that while improving the overall level of digital rural construction, each county-level unit should combine its own advantages and weaknesses, targeting their respective factor endowments and key driving factors, and collaborate to accurately facilitate rural digitization. This study explored the spatiotemporal differentiation characteristics and driving factors of China's digital rural construction at the county level. It has the advantages of reaching the grassroots level and being more detailed and comprehensive compared with provincial scale and municipal scale, which has certain supplementary value to existing research. Moreover, based on the spatial perspective, this study systematically considered the potential spatial heterogeneity characteristics of digital rural construction and used the spatial panel and spatiotemporal geographical weighted regression models to identify the driving factors of digital rural construction, which can help understand the internal driving forces of China's current county digital transformation.https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003833rural digitalizationcounty-leveldigital rural indexspatial panel modelgeographically and temporally weighted regression modelchina |
| spellingShingle | Zeng Yongming Zhong Zikang Regional Differences of Digital Rural Construction in China and Driving Factors Redai dili rural digitalization county-level digital rural index spatial panel model geographically and temporally weighted regression model china |
| title | Regional Differences of Digital Rural Construction in China and Driving Factors |
| title_full | Regional Differences of Digital Rural Construction in China and Driving Factors |
| title_fullStr | Regional Differences of Digital Rural Construction in China and Driving Factors |
| title_full_unstemmed | Regional Differences of Digital Rural Construction in China and Driving Factors |
| title_short | Regional Differences of Digital Rural Construction in China and Driving Factors |
| title_sort | regional differences of digital rural construction in china and driving factors |
| topic | rural digitalization county-level digital rural index spatial panel model geographically and temporally weighted regression model china |
| url | https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003833 |
| work_keys_str_mv | AT zengyongming regionaldifferencesofdigitalruralconstructioninchinaanddrivingfactors AT zhongzikang regionaldifferencesofdigitalruralconstructioninchinaanddrivingfactors |