Construction of Rural Governance Digital Driven by Artificial Intelligence and Big Data

Huang, Ruolan

doi:10.1155/2022/8145913

Cited by 3 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the foundation of the national governance system, rural governance is also undergoing a continuous transformation toward digitalization, networking and intelligence (22)(23)(24). The Central Internet Information Office and ten other departments jointly issued the Action Plan for the Development of the Digital Countryside (2022-2025) in January 2022, which proposes to improve the rural intelligent party building system and promote the extension of "Internet + Government Services" to the countryside (25,26). It can be seen that as a powerful tool for the government to promote reform and improve governance, digital technology empowerment has changed the culture of rural organization and service delivery, enabling villagers and multiple subjects to participate in the design of public services, and promoting a two-way interactive change in rural social governance (27).…”

Section: Introductionmentioning

confidence: 99%

How does digital governance affect the level of domestic waste separation for rural residents? Empirical evidence from rural areas in Jiangsu Province, China

Chen

Xing

Wang

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

IntroductionThe management of rural domestic waste is directly related to the quality of China's rural habitat and the ecological security of the countryside, and is one of the important tasks of rural revitalization.MethodsBased on the perspective of digital technology empowering rural governance, this study uses the China Land Economic Survey (CLES) data to empirically test the impact of digital governance on the level of domestic waste separation for rural residents by constructing the ordered probit model.Results and discussionThe results show that in the process of rural governance modernization, digital governance helps to improve the level of domestic waste separation for rural residents in the process of rural governance modernization, and the findings still hold after robustness tests. Mechanistic tests showed that digital governance can impact the level of domestic waste separation for rural residents through cadre-mass relationship and institutional trust. The findings of this study provide a new perspective on good environmental governance in China's countryside and have important implications for promoting the improvement of rural habitat quality.

show abstract

Section: Introductionmentioning

confidence: 99%

How does digital governance affect the level of domestic waste separation for rural residents? Empirical evidence from rural areas in Jiangsu Province, China

Chen

Xing

Wang

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

show abstract

The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China

Zhang

Zhao

et al. 2023

Agriculture

View full text Add to dashboard Cite

(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.

show abstract

The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China

Zhang

Zhao

et al. 2023

Land

View full text Add to dashboard Cite

(1) Background: Along with the maturity of smart cities, digital villages and smart villages are receiving more attention than ever before as the key to promote sustainable rural development. The Chinese government has made great efforts in promoting the digital development of villages in recent years, as evidenced by policies intensively introduced by the central and local governments, making China a typical representative country in the world. (2) Methods: This paper evaluates the performance and geographic pattern of rural digital development by the Geographic Information System (GIS) in Gansu, a less developed province in western China, and analyzes the driving mechanism of rural digital development using GeoDetector, providing a basis for spatial zoning and differentiated policy design for the construction, planning and management of digital villages based on the GE matrix. (3) Results: First, the development of digital villages shows a prominent geographical imbalance, with 79 counties divided into leader, follower and straggler levels. Second, digital villages show unsynchronized development in different dimensions, with the village facilities digitalization index in the lead and the village economy digitalization index lagging behind. Thirdly, the development of digital villages is characterized by significant spatial correlation and spillover effects, with cold and hot counties distributed in clusters, forming a “center-periphery” structure. Fourth, the factors show significant influence differentiation. They are classified into all-purpose, multifunctional and single-functional factors by their scope of action, and into key, important and auxiliary factors by their intensity of action. Fifth, the interaction and driving mechanism between different factors is quite complex, dominated by nonlinear enhancement and bifactor enhancement, and the synergistic effect of factor pairs helps increase the influence by 1–4 times. (4) Conclusions: It is suggested that the government develop differentiated policies for zoning planning and management based on the level of digital development of villages in combination with the factor influence and its driving mechanism and promote regional linkage and common development and governance through top-level design.

show abstract

Construction of Rural Governance Digital Driven by Artificial Intelligence and Big Data

Cited by 3 publications

References 28 publications

How does digital governance affect the level of domestic waste separation for rural residents? Empirical evidence from rural areas in Jiangsu Province, China

How does digital governance affect the level of domestic waste separation for rural residents? Empirical evidence from rural areas in Jiangsu Province, China

The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China

The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China

Contact Info

Product

Resources

About