In order to establish a green and low-carbon agricultural economic system based on the principles of recycling, reduction and resource utilization, to promote a comprehensive green transformation of the economic development and to achieve carbon peaking and carbon neutrality, this article examines the farmers’ willingness to participate in rural environmental governance. Through a questionnaire survey in the Fujian, Anhui and Shanxi provinces, this article explores the influence of homogeneous and heterogeneous relationships in social networks on the farmers’ willingness to participate in rural environmental governance using a logit model and tries to reveal the deeper mechanisms. The results show that: (1) heterogeneous relationships have a significant positive effect on farmers’ participation in rural environmental governance, but homogeneous relationships do not have a significant effect. (2) The larger the size of the social network, the weaker the farmers’ willingness to participate in rural environmental governance. (3) Age and education level have significant effects on willingness to participate. The older the age, the weaker the willingness to participate; the higher the education level, the stronger the willingness to participate. (4) The larger the number of family members, the stronger the farmers’ willingness to participate in environmental governance. (5) The subjective cognitive status of farmers also has an important influence on their willingness to participate. The more environmental knowledge is acquired, the stronger the willingness to participate in rural environmental governance. Therefore, to promote rural environmental management, there is an urgent need to keep modern farmers on rural land and to make the countryside a beautiful space for living and working with complete living functions.

It is important to investigate the influence of incentives and penalties on farmers’ willingness and behavior towards domestic waste separation and the mechanism of influence. It is helpful for the government to formulate policies to guide farmers to actively participate in domestic waste separation, solve the problem of rural domestic waste pollution, and improve the effectiveness of rural waste separation management. By using the public data of 2020CLES, we analyzed the influence of incentives and penalties on farmers’ willingness and behavior towards domestic waste separation by using the Probit model, based on the technology acceptance model, using a chain of multiple mediating effects. The results are as follows. Firstly, the net effect of incentives and penalties on farmers’ willingness and behavior to separate household waste was 6.86%, and the net effect of separation behavior was 33.37%. Relatively speaking, the strengthening effect of incentives and penalties on farmers’ domestic waste sorting behavior is stronger than the promotion effect on farmers’ domestic waste sorting intention. Secondly, perceived ease of use and perceived usefulness had significant chain mediating effects, with perceived ease of use having the strongest mediating effect. Thirdly, the incentives and penalties have a stronger effect on promoting the willingness of female farmers, elderly farmers, and farmers with low education to separate domestic waste. Finally, the influence of individual and household characteristics of farmers on their willingness and behavior to separate household waste varies. Accordingly, suggestions for improving the willingness and behavior of farmers to separate domestic waste are proposed in the following aspects: improving the reward and punishment system, making good use of market instruments, and increasing farmers’ awareness level and value recognition of domestic waste separation.

Accurate identification of the influencing factors and the mechanisms of the willingness-behavior paradox in rural residents in waste separation is conducive to stimulating rural residents to participate in rural environmental governance, which is important for solving the willingness-behavior paradox problem. By using CLES data, we analyzed the factors influencing rural residents’ willingness to separate garbage and behavioral paradoxes using the combined LOGIT-ISM-MICMAC model. The results of the study showed that (1) the regression results showed that eight factors, including publicity means, reward and punishment means, policy effect perception, villagers’ environmental protection behavior perception, gender, age, socio-economic status, and ecological livability status, affect the paradox of villagers’ willingness to separate garbage and behavior; (2) the results of the ISM model show that there are four main transmission paths, and the commonality lies in the common transmission paths of “policy publicity effect factor, villagers’ perception of environmental protection behavior, village ecological habitability, and deviation of willingness and behavior”; (3) the results of MICMAC model show that we should focus on strengthening the ecological habitat of villages, ensuring the effectiveness of policy promotion, and encouraging villagers’ environmental protection behavior to reduce the deviation of rural residents’ behavior and intention.

Promoting green development and promoting harmonious coexistence between humans and nature are strategic tasks for the construction of ecological civilization in China in the new era. Currently, the growing environmental governance investment in China has not performed well, and the low efficiency of environmental governance has become the main problem facing the development of ecological civilization in China. Therefore, it is of great practical significance to scientifically measure the efficiency of environmental governance and improve the efficiency of environmental governance input factors to achieve green development and overcome the difficulties in the construction of ecological civilization. In this study, an improved three-stage SBM model and cloud model combined with the Theory of production, life, and ecology were used to measure the environmental governance efficiency of 27 provinces in China from 2003 to 2020 and conduct in-depth analysis and evaluation. The results show that: First, the influence of random error factors and external environmental conditions on the efficiency of rural domestic sewage treatment in China is significant. Their existence will underestimate the environmental governance efficiency in the central and western regions of China and overestimate the environmental governance efficiency in the eastern regions of China, except for Hainan Province. Second, after excluding the influence of random errors and external environment conditions, the adjusted efficiency mean value of the central and western regions significantly increases, while the environmental governance efficiency of most provinces in the eastern region, except for Hainan Province, decreases significantly. Third, the overall environmental governance efficiency of the 27 provinces in China still presents a situation wherein the western region is ranked first in efficiency, the eastern region ranks second, and the central region ranks third. The environmental governance efficiency of the 27 provinces shows a “large at both ends, small in the middle” and “low efficiency in the eastern and central regions, and instability in the western region” state, and there is a large difference in the degree of environmental governance efficiency among the various provinces. In this regard, for the eastern and central regions, special attention should be paid to their government’s transformation of development thinking, placing greater emphasis on balanced and coordinated development between urbanization, industrialization, and the environment. As for the western region, due to its harsh environmental conditions, it attaches more importance to environmental governance. However, efforts should be made to strengthen its economic development to ensure sufficient provision of material conditions such as infrastructure and equipment required for environmental governance in order to achieve stable environmental governance efficiency in the western region. For the central region, both the economy and the environment need to be further strengthened.

As an essential subject of rural environmental governance, farmers’ environmental governance behavior directly affects the level and efficiency of rural environmental governance. In traditional rural society, the characteristics of “acquaintance society”, “circle doctrine”, and “clan society” have led to farmers’ behaviors being influenced and constrained by their surrounding social support and social relations. Therefore, the interaction between farmers will affect the effectiveness of rural environmental governance, and the interaction effect will also affect the implementation of policies in rural environmental governance. In the strategic context of the policy of “building a beautiful and harmonious countryside that is desirable to live and work in” and “promoting green development and harmonious coexistence between human beings and nature” put forward by the 20th National Congress, we follow the principles of Reduce, Reuse, and Recycle from the perspective of circular economy, taking farmers as our research subject. We take the behavior of domestic garbage disposal as an example and, relying on the National Social Science Foundation project, use field research data and refer to neighbor groups and neighboring village groups. We use the Manski model to test the interaction effect of the two groups, analyze the interaction between individual farmers and the interaction between neighboring villages, and, finally, prove that there is an endogenous interaction effect and a situational interaction effect between the neighbor group and neighboring villages. Endogenous interaction effects, contextual interaction effects, and association effects exist between neighbor groups, while only contextual interaction effects and association effects exist between neighboring village groups. The above conclusions provide a policy reference for rural household waste and environmental management.

Using panel data from 31 provinces and municipalities in China spanning the period from 2002 to 2021, this study constructs a comprehensive indicator system to assess the level of agricultural sustainable development from the dimensions of economic, social, and ecological. A panel threshold regression model is developed, with rural labor transfer serving as the threshold variable, to explore the nonlinear effects of rural population aging on agricultural sustainable development. The empirical findings indicate that the overall level of agricultural sustainable development in China has shown a consistent upward trend over the study period, with the highest level observed in the main grain-consuming areas, followed by the main grain-producing areas, and the lowest in the grain-producing and consuming balance areas. Moreover, rural population aging exhibits a significant nonlinear and positive effect on agricultural sustainable development. Based on two identified threshold values of labor transfer, the results suggest that as the proportion of labor transfer increases, the positive impact also increases. Against the backdrop of intensified rural labor migration and the consequent acceleration of rural population aging, it is imperative to promote the scaling-up of agricultural operations, foster a new generation of professional farmers, and implement region-specific sustainable agricultural development strategies to support long-term sustainability in the agricultural sector.