Digital governance and its benchmarking college talent training under the rural revitalization in China—A case study of Yixian County (China)

Abstract

Rural digital governance has been the favorite subject of social governance with the aim of sustainable development of rural revitalization. Therefore, an indicator system is constructed to evaluate its satisfaction in Yixian County (China) based on principal component analysis, multiple regression analysis, and SEM structural equation analysis. The study finds that (1) the four dominant observation indicators, namely, “satisfaction of participation,” “satisfaction of diversification,” “satisfaction of legal norms,” and “satisfaction of technical support,” have a significant impact on the satisfaction of rural digital governance, and there is a linkage effect among the four observation indicators; (2) in terms of the four potential variables, “value guidance satisfaction” (0.772), “regulatory constraint satisfaction” (0.756), “satisfaction of support guarantee,” (0.699) and “multiple collaboration satisfaction” (0.676) have a decreasing influence on the overall satisfaction of rural digital governance, and there is much room for improvement. This study deepens the understanding of digital governance, and the following countermeasures are formed: strengthening the leading role of value concept; perfecting the constraint efficiency of “four governance” rule system; creating a new pattern of social “intelligent governance”; promoting the enabling effect of digital governance technology.

An Analysis Method of System Coupling and Spatio-Temporal Evolution of County New Urbanization and Logistics Industry

“…Xing et al developed an evaluation index system to determine how satisfied people were with digital governance in rural areas. He then used principal component analysis, multiple regression, and SEM structural equation modeling to analyze the data comprehensively [32].…”

The Dynamics and Driving Mechanisms of Rural Revitalization in Western China

“…The economic development of western China lags behind, and the development of rural revitalization relies more on government investment and transfer payments, so government financial expenditure is adopted in this paper to represent the government's ability to intervene [70]. In addition, poverty and return to poverty in the context of common prosperity and the urban-rural gap remain long-term challenges to rural revitalization in the western region, and this paper borrows the urban-rural income gap index to measure their impact [71]. In this paper, the rural revitalization index and evolution model of the rural revitalization index are used as dependent variables in the driving mechanism analysis, and the independent variables are chosen to combine demand creativity with supply support (Table 2).…”

“…The economic development of western China lags behind, and the development of rural revitalization relies more on government investment and transfer payments, so government financial expenditure is adopted in this paper to represent the government's ability to intervene [70]. In addition, poverty and return to poverty in the context of common prosperity and the urban-rural gap remain long-term challenges to rural revitalization in the western region, and this paper borrows the urban-rural income gap index to measure their impact [71].…”

Digital village construction, human capital and the development of the rural older adult care service industry

“…Merging big data technology with rural older adult care service governance fosters conditions that encourage diverse stakeholders in the rural older adult care service industry to supervise its healthy development. Additionally, this fusion allows for the possibility of communal construction and shared governance within the rural older adult care service industry (43,44). This multi-tiered governance system expands communication channels between government and public, refines the precision of rural pension policies and measures, upgrades the social security system, and assists in safeguarding the fundamental rights and interests of older adults (45).…”

“…These measures aim to provide personalized care for more older adults and broaden the scope of industrial development. On this basis, the government should hasten the training of new digitally-driven professional farmers, enhance data technology training for the rural labor force, improve their ability to apply digital resources and technology to fortify the link between digital villages and the rural older adult care service industry, promoting the in-depth development of the industry (43).…”