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.
Ecological compensation has been the favorite subject of ecological depletion caused in mining areas with the aim of sustainable development. So, an analytical model is presented to assess the knowledge innovation of ecological compensation. Later, the methods of factor analysis, resistance diagnosis, and multiple regressions are integrated to evaluate its satisfaction in the Huainan mining area. The study found that (1) the influence of factors related to work mechanism is identical, while the influence of factors related to strategic planning and action skills is heterogenous; and (2) in terms of the relative importance of the three dimensions of work mechanism (0.479), strategic planning (0.467), and action skills (0.351), their influence decreases in order. The results can provide reference materials for the effective governance of ecological compensation and its scientific management of ecological safety in the mining area. So, the findings can help for better improvement of ecological compensation, and then the following strategies are proposed to improve its knowledge innovation: First, the harmonious development of individual behavior and overall interests needs to be realized; Second, the coordinated development of top-level design and adherence to faith needs to be optimized; Third, the interactive development guided by competence and mass entrepreneurship and innovation needs to be achieved.
Air pollution has been the favorite subject of pollution prevention and control measures with the aim of sustainable development. Therefore, a composite model of rescaled range (R/S) and set pair analysis (SPA) was constructed to evaluate the air pollution situation based on the data from 2013 to 2020 in the Hebei province and then predict its air quality development trend. The results show that (1) the air pollution situation is severe, but the development trend is good and (2) the main pollutants are the core factors affecting air quality, and it is necessary to focus on intervention. The innovation of this paper lies on the combination of R/S and SPA to jointly predict the development trend of air quality in the Hebei province and ensure its scientific prediction. Meanwhile, this paper does not point out the continuation cycle of development state, which is the limitation of this paper. Finally, this study deepens the understanding of air quality evaluation, and the following countermeasures are formed: adherence to the problem- and goal-oriented approach to help the transformation of low-carbon development and enhancing the awareness of energy conservation and environmental protection to practice low-carbon lifestyle.
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