The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China
(1) Background: Digitalization is the key to sustainable village development, posing a new challenge for village planning, construction, and governance in all countries. The construction of digital villages is currently in the stage of experimentation and exploration; China is the largest developing...
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MDPI AG
2023-03-01
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Series: | Agriculture |
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Online Access: | https://www.mdpi.com/2077-0472/13/3/659 |
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author | Weiwei Li Ping Zhang Kaixu Zhao Hua Chen Sidong Zhao |
author_facet | Weiwei Li Ping Zhang Kaixu Zhao Hua Chen Sidong Zhao |
author_sort | Weiwei Li |
collection | DOAJ |
description | (1) Background: Digitalization is the key to sustainable village development, posing a new challenge for village planning, construction, and governance in all countries. The construction of digital villages is currently in the stage of experimentation and exploration; China is the largest developing country and a pioneer in the digitization of villages. (2) Methods: Based on a combination of the Boston Consulting Group Matrix and GeoDetector, we conducted an empirical study on 70 counties in Guangxi, aiming to analyze the construction level, evolution model, and driving mechanism of digital villages and to provide a basis for decisions on government investment and social participation. (3) Results: First, Conspicuous disequilibrium in rural digitalization has manifested in Guangxi, and counties at different levels (leader, follower, and straggler) show significant clustering and correlation effects in their geographical distribution. Second, digital village construction in Guangxi has evolves in diversified modes (divided into four types: star, gazelle, cow, and dog), with hot and cold areas forming a center–periphery structure. Third, rural digitalization has a very complex driving mechanism, with high heterogeneity in the direct influencing factors, significant synergistic enhancement of factors, and nonlinear enhancement dominating the interaction’s relationship. (4) Conclusions: According to the results of analysis, we suggest highlighting the government-driven mechanism and regional linkage in the construction of digital villages, formulating differentiated management policies and development plans based on the combination of top-level design and grassroots innovation, establishing joint meetings or development associations and service alliances, and stimulating the enthusiasm of the whole of society, especially farmers and enterprises, in order to achieve rapid and sustainable rural digitalization. |
first_indexed | 2024-03-11T07:04:25Z |
format | Article |
id | doaj.art-9ea8177c6acd4925a351e0da5dd4db83 |
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issn | 2077-0472 |
language | English |
last_indexed | 2024-03-11T07:04:25Z |
publishDate | 2023-03-01 |
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spelling | doaj.art-9ea8177c6acd4925a351e0da5dd4db832023-11-17T09:01:39ZengMDPI AGAgriculture2077-04722023-03-0113365910.3390/agriculture13030659The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, ChinaWeiwei Li0Ping Zhang1Kaixu Zhao2Hua Chen3Sidong Zhao4Urban–Rural Construction College, Guangxi Vocational University of Agriculture, Nanning 530007, ChinaCollege of Civil Engineering and Architecture, Jiaxing University, Jiaxing 314001, ChinaCollege of Urban and Environmental Sciences, Northwest University, Xi’an 710127, ChinaCollege of Civil Engineering and Architecture, Jiaxing University, Jiaxing 314001, ChinaSchool of Architecture, Southeast University, Nanjing 210096, China(1) Background: Digitalization is the key to sustainable village development, posing a new challenge for village planning, construction, and governance in all countries. The construction of digital villages is currently in the stage of experimentation and exploration; China is the largest developing country and a pioneer in the digitization of villages. (2) Methods: Based on a combination of the Boston Consulting Group Matrix and GeoDetector, we conducted an empirical study on 70 counties in Guangxi, aiming to analyze the construction level, evolution model, and driving mechanism of digital villages and to provide a basis for decisions on government investment and social participation. (3) Results: First, Conspicuous disequilibrium in rural digitalization has manifested in Guangxi, and counties at different levels (leader, follower, and straggler) show significant clustering and correlation effects in their geographical distribution. Second, digital village construction in Guangxi has evolves in diversified modes (divided into four types: star, gazelle, cow, and dog), with hot and cold areas forming a center–periphery structure. Third, rural digitalization has a very complex driving mechanism, with high heterogeneity in the direct influencing factors, significant synergistic enhancement of factors, and nonlinear enhancement dominating the interaction’s relationship. (4) Conclusions: According to the results of analysis, we suggest highlighting the government-driven mechanism and regional linkage in the construction of digital villages, formulating differentiated management policies and development plans based on the combination of top-level design and grassroots innovation, establishing joint meetings or development associations and service alliances, and stimulating the enthusiasm of the whole of society, especially farmers and enterprises, in order to achieve rapid and sustainable rural digitalization.https://www.mdpi.com/2077-0472/13/3/659smart villagerural digitalizationdriving mechanismpolicy designChina |
spellingShingle | Weiwei Li Ping Zhang Kaixu Zhao Hua Chen Sidong Zhao The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China Agriculture smart village rural digitalization driving mechanism policy design China |
title | The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China |
title_full | The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China |
title_fullStr | The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China |
title_full_unstemmed | The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China |
title_short | The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China |
title_sort | evolution model of and factors influencing digital villages evidence from guangxi china |
topic | smart village rural digitalization driving mechanism policy design China |
url | https://www.mdpi.com/2077-0472/13/3/659 |
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