A comprehensive evaluation of regional carbon emission based on the composite model in China: a case study of Huaibei city (China).

Formulating carbon emission reduction at the regional level is key to achieving the "dual carbon" strategy. A composite model is used to analyze the carbon emission reduction in Huaibei City based on the data from 2012 to 2021 and predict its change trend of carbon emission from 2022 to 2030. The study finds that: (1) the effects of observed factors on carbon emission in Huaibei City are complicated. Among them, the secondary industry has the greatest impact on carbon emission (weight is 0.32), and it is the key constraint factor of carbon emission. Population has the smallest impact on carbon emission (weight is 0.13), but its obstacle effect is significant. (2) The observed factors have a significant positive effect on the "dual carbon" strategy, but the improvement pressure is high. Among them, the conditions of all indicators have been improved except population, and it is found that each indicator can reach the level I before 2030, the "dual carbon" strategy can be achieved. This study deepens the understanding of regional carbon emission in China and the following conclusions are formed: (1) Grasping the carbon reduction effect of urbanization on the population to consolidate the new model of low-carbon development. (2) Identifying the key areas of carbon emission reduction to build a low-carbon emission oriented industrial system. (3) Strengthening the technological innovation of carbon emission reduction to achieve the strategic goal of "dual-carbon".

Evaluation of linkage relationships between carbon emissions and economic development based on the decoupling model and the VAR model: a case study of Shanxi Province (China).

Economic development is the core driver of carbon emissions. It is of great significance to clarify the linkage relationship between economic development and carbon emissions. Therefore, the static and dynamic relationship between carbon emissions and economic development in Shanxi Province is analyzed by using the VAR model and decoupling model combined with data from 2001 to 2020. The results show that economic development and carbon emissions in Shanxi Province have mainly presented a weak decoupling state in the past 20 years, but the decoupling state is gradually increasing. Meanwhile, carbon emissions and economic development constitute a bidirectional cycle dynamic system. The impact of economic development on itself and carbon emissions account for 60% and 40%, respectively, while the impact of carbon emissions on itself and economic development accounts for 71% and 29%, respectively. This study provides a relevant theoretical basis for solving the problem of excessive dependence on energy consumption in economic development.

Evaluation of synergy between low-carbon development and socio-economic development based on a composite system: a case study of Anhui Province (China).

Low-carbon development has been the favorite subject with the aim of making a synergy environment. Extensive research on low-carbon development and socio-economic synergy has been conducted by scholars from different perspectives. This paper explores the synergy between low-carbon development and socio-economic development as a composite system from four levels: resource, energy, economy and society, and improves the theory of low-carbon economic development in a "dual-carbon" perspective. Meanwhile, based on the theoretical research, this paper constructs a synergy model and evaluation index system of low-carbon development and socio-economic development, and conducts an empirical analysis by combining the relevant data of low-carbon governance and socio-economic development in Anhui Province from 2011 to 2020. After obtaining the level of synergistic development and constraints of the composite system, the trend of changes in the level of synergy of the composite system is verified by R/S model. It is found that: (1) the composite system composed of low-carbon development and socio-economic development in Anhui Province has certain synergistic effects, and the level of synergistic development is increasing; (2) the studied time series has significant correlation over a long period of time, while it will continue the past development trend. The contribution of this paper is to take the synergy model as the basis and build the R/S model to extend the time cycle of synergy level, which extends the previous theoretical research system of low-carbon development, helps to deepen the theoretical understanding of the synergy between low-carbon development and socio-economic development, and improves the discussion on building ecological civilization and helping to achieve the goal of "dual-carbon".

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

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.

Air quality assessment based on R/S-SPA composite model: A case study of the Hebei province (China).

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.

Assessment of the coordination of low-carbon development and socio-economic development based on a comprehensive model: A case study of Anhui Province (China).

The coordination of low-carbon development and socio-economic development has been the favorite subject of carbon emission reduction with the proposal of "dual carbon" goal. So an evaluation indicator system based on four dimensions of resource environmental endowment, energy environmental endowment, economic development endowment and social development endowment was constructed. And then, entropy weight method, coupling coordination level model, synergy degree model and gray forecasting method were used for comprehensive analysis based on the data from 2011 to 2020 in Anhui Province (China). The results show: 1) Low-carbon development lagged behind socio-economic development; 2) Low-carbon development and socio-economic were mutually beneficial; 3) The coordinated level of low-carbon development and socio-economic development in Anhui province was continuously improved, and the ordered structure will be realized in 2024 and 2029 respectively. This study deepens the theoretical cognition of carbon emission reduction, and the following countermeasures are formed: Highlighting the strategic guidance of sustainable development, perfecting the new regulatory mechanisms for carbon emission reduction, and innovating the science and technology to resolve major development crises.