As a major ecological project with the largest investment scale, strongest policy support, most extensive involvement, and the highest level of public participation in the world, the Sloping Land Conversion Program (SLCP) implemented by China is important for protecting the ecological environment and achieving long-term stability. Consolidating the SLCP’s achievements is key to its sustainable operation. Based on a sample of 612 farmers in Guizhou Province, this paper discusses the impact of value perception and government regulation on farmers’ behavior in terms of their continued SLCP maintenance. The results show that (1) value perception and government regulation are important factors affecting the sustainability of farmers’ behavior of continuing to maintain the SLCP. Perceived economic value and perceived cost input, as dimensions of value perception, and policy publicity and economic incentives, as dimensions of government regulation, have important influences on farmers’ continued SLCP maintenance. (2) There are complementary effects between value perception and government regulation. Policy publicity and perceived ecological value, technical guidance and perceived economic and social value, and economic incentives and perceived economic value can have complementary effects on farmers’ continued maintenance behavior. (3) Value perception and government regulation heterogeneously impact different groups of farmers. In terms of intergenerational differences, perceived cost inputs and punitive measures significantly affect only new-generation farmers. In terms of farmer type, perceived economic value does not significantly affect nonfarmers; perceived cost input significantly affects part-time farmers engaged mainly in off-farm employment, and technical guidance and economic incentives have the greatest impact on pure farmers. In terms of tree species, perceived cost input and policy publicity significantly impact only ecological forest farmers, while technical guidance has a greater impact on economic forest farmers. The findings provide an in-depth understanding of the mechanism underlying farmers’ behavior in maintaining the SLCP and offer a reference for promoting the goals of forestry ecological policies against the background of rural revitalization and green development.

The sloping land conversion program (SLCP) is one of the most important payment for ecosystem services (PESs) in the world, as direct stakeholders and the final implementers of the SLCP, farmers’ willingness to maintain the achievements is the basis for the consolidation and sustainable operation of the SLCP. Based on a survey of 975 farmers in Hunan Province, Gansu Province, and the Ningxia Hui Autonomous Region, this study used the elastic net model to accurately select the influencing factors of farmers’ willingness to maintain the SLCP and the logit model to measure these factors. Finally, combined with the interpretative structural model (ISM), we further analyzed the hierarchical structure of each significant influencing factor. The main results are as follows. Firstly, off-farm employment, whether the head of the household is a village cadre, labor number, land area, income level, subjective norms from the organization, altruistic rationality, active ability, and policy perception had significant and positive impacts on farmers’ willingness to maintain the SLCP. In contrast, whether the head of the household is an ethnic minority and the expiration of the SLCP subsidy had significant and negative impacts on farmers’ willingness to maintain the SLCP. Secondly, the factors affecting farmers’ willingness to maintain the SLCP are at different levels, being both independent and interrelated. Among them, the deep-rooted factors are whether the head of the household is an ethnic minority, the expiration of the SLCP subsidy, the labor number, and whether the head of the household is a village cadre. Based on the above results, government departments should broaden the income channels of farmers in ethnic minority areas, strengthen the publicity to maintain the SLCP in ethnic minority areas, and improve the SLCP’s follow-up policy to enhance the farmers’ willingness to maintain the SLCP and ensure the program’s sustainability.

Based on the air pollutant spatial and temporal data of 16 major cities in the Chengdu-Chongqing region from 2015-2021, using the analysis methods of the spatial autocorrelation model and the characteristic radar chart, this paper analyzes the spatial and temporal characteristics of air pollution in the Chengdu-Chongqing region and the main sources and causes of air pollutants in different cities. The research results show: (1) temporally, the overall air quality in the Chengdu-Chongqing region shows an improving trend from 2015 to 2021, but the pollution is more serious in winter, and the air pollutants fine particulate matter(PM2.5) and sulfur dioxide(SO2) pollution are prominent. (2) Spatially, the spatial distribution pattern of pollutants PM2.5, inhalable particles (PM10), nitrogen dioxide(NO2) and SO2 in Chengdu-Chongqing region shows the distribution characteristics of high in the west and low in the east, while pollutant carbon monoxide(CO) shows the characteristics of high in the east and low in the west. (3) In 2021, the air quality index (AQI index) of cities in Chengdu-Chongqing region show the spatial clustering characteristics of "high - high" and "low - low". (4) The urban air pollution in Chengdu-Chongqing region mainly includes four types: secondary-biased, coal-fired, motor vehicle-biased and dust-biased, among which, coal-fired is the main type of air pollution in Chengdu-Chongqing region.The findings of the study can provide decision support for targeted treatment of air pollution and high-quality economic and social development in the Chengdu-Chongqing region.

Based on the data of the a-share national listed forestry enterprises in 2023, this paper uses the social network-analysis method to study the network structure characteristics of the national listed forestry enterprises and the role positioning and functional differences of the internal member enterprises from the perspective of network relations. The results show that Chinese listed forestry enterprises have formed a relatively close cross-regional inter-enterprise relationship network, and two cohesive regions have been formed at the same time, and there are some differences in the tightness of the ties among forestry enterprises with different main businesses in the relationship network. The results of this paper are intended to provide a reference basis for the upgrading of forestry industry chain and the coordinated development of forestry industry among regions under the “double-loop” pattern.

Using survey data from 626 households participating in the New Round of the Sloping Land Conversion Program (SLCP) in Guizhou Province, this study examines factors associated with farmers’ management-entity choices and their hierarchical relationships. A Lasso-Logistic model identifies key variables, and Interpretive Structural Modeling (ISM) characterizes their hierarchical structure and potential influence pathways. The results show that the proportion of off-farm employment, SLCP-converted forestland area, risk preference, irrigation convenience, and possession of a forest tenure certificate are positively associated with organized management, whereas the number of acquaintances managing the same tree species is negatively associated with this choice. ISM places risk preference and SLCP-converted forestland area at the deep foundational level, the number of acquaintances and irrigation convenience at the intermediate transmission level, and off-farm employment and forest tenure certificate at the surface proximate level. These findings show how labor allocation, resource endowments, social networks, management conditions, and tenure security jointly structure farmers’ management choices. Differentiated management support, improved infrastructure and tenure services, and stronger technical and market services may improve the management of SLCP-converted forestland and support household income.