To promote the sustainable development of agriculture and forestry economy, it is of great significance to guide farmers to consciously pursue pro-environmental behaviors in the development of the understory economy. Based on field survey data from Yong’an city of Fujian Province and Luoshan County of Henan Province, factor analysis and Oprobit models were mainly used to analyze the influencing factors and influencing the degree of the pro-environmental behaviors of farmer households participating in the understory economy. Quantitative data showed that individual characteristics of farmers (i.e., gender, education, career, feasibility evaluation, and the proportion of farming labor to household labor) and forest land management status (i.e., forest land transfer, the working time in understory economy, and proportion of understory economic income) have an obvious effect on the adoption of pro-environmental behaviors. Findings also revealed three key variables (i.e., the farmers’ environmental perception, social constraints, and government incentives) that are associated with the willingness to adopt pro-environmental behaviors. The contribution ratios of the influencing factors were environmental perception, social constraints, and government incentives. In addition to economic benefits, perceptual factors and informal institutions also play an important role in driving farmers to adopt pro-environmental behaviors. Based on the findings, it is necessary to strengthen the publicity and the education of farmers, increase environmental responsibility, accelerate the establishment and improvement of ecological reward-and-punishment mechanisms, and enhance the training of green production techniques.

Tea farmers in Wuyishan National Park face the dual challenges of promoting sustainable tea production while adhering to strict ecological protection policies. This study investigates the key factors influencing tea farmers’ pro-environmental behavior and the transmission mechanisms that encourage the adoption of sustainable development. Based on the theory of planned behavior, the theory of externalities, and place attachment theory, 346 valid questionnaires were collected through household interviews across 12 villages within Wuyishan National Park and its surrounding areas. The results indicate that environmental responsibility and concern for community well-being are major motivators of pro-environmental behavior. Market orientation, production intensification, and adoption of clean technologies significantly enhance environmental outcomes at the farm level. While ecological compensation policies help offset the costs of conservation, their impact is constrained by inconsistencies in standard-setting and implementation. The establishment of the national park has enhanced pro-environmental behavior among farmers within the park and influenced those in peripheral areas by strengthening place attachment and social norms. Tea farmers in the core areas of the national park exhibit higher levels of pro-environmental behavior compared to those on the periphery. This study offers several policy recommendations and contributes new insights into understanding the mechanisms behind tea farmers’ pro-environmental behavior within national park contexts, providing valuable reference for pro-environmental practices in the global protected area system.

The resilience of forests refers to the ability of a forest to withstand disturbance and maintain its function and control. After an early phase of historical logging to support economic development, changes in the socio-ecological resilience of key state-owned forest areas in Northeastern China (later collectively referred to as Northeastern state-owned forests) after implementing a total logging ban policy remain unknown. In this study, the Northeast state-owned forest area was selected as the study area, and based on the panel data from 2008 to 2021, the indicator system at both social and ecological levels was established, and the socio-ecological resilience of the Northeast state-owned forest area was assessed using comprehensive weights and set-pair analysis. The results show that (1) the logging ban policy effectively improves socio-ecological resilience, which reached the highest point of the whole measurement period in 2018. (2) The socio-ecological system has a certain self-adjustment and resilience but has shown a decreasing trend in recent years. By exploring the causes behind the results, we can provide guidance and suggestions for the further implementation of the logging ban policy and, at the same time, provide some lessons for other developing countries with similar problems.

Forest tickets refer to a type of forest resource usufruct certificate characterized by “cooperative operation, quantification of rights and interests, free circulation, and guaranteed dividends”. It is an important means to build a market-oriented mechanism for realizing the value of ecological resources. Incomplete information, based on field survey data from thirteen villages in eight townships (towns) in Sanming City, Fujian Province, China, and a binary logit model were used to explore the moderating effects of factors affecting farmers’ willingness to participate in forest ticket trading, the heterogeneity of farmers, and social capital. We found the following: In an environment with incomplete information, farmers’ willingness to participate in forest ticket trading is influenced by heterogeneity expectations, social capital, government propaganda, and individual family characteristics. There are certain differences in the influencing factors and degree of farmers’ willingness to participate in forest ticket trading among different groups of farmers with different levels of education and part-time employment. Social capital can strengthen the positive impact of income expectations and policy sustainability expectations, and alleviate the negative impact of risk expectations.

As a kind of proof of the rights and interests of forest resources, the implementation of forest ticket is an important measure for China to revitalise collective forest land resources and promote the transformation of forest resources into economic development advantages, which is of great significance to the sustainable development of forestry. Based on the dynamic evolutionary game method of multiple subjects, this paper constructs an evolutionary game model of state-owned forest farms, village collective economic organisations, and forest farmers; analyses their strategy choices and the stability of the equilibrium point of the game system; and examines the influence of different parameter values on the model strategy evolution through combination with numerical simulation methods. The results show that the level of knowledge and participation in the forest ticket system significantly influence the optimal equilibrium strategy of each subject of forest cooperative management. The optimal strategy is only when the evolution of the game model is stable at a high level of input, participation, and high willingness to participate. In addition, the forest market environment and the level of inputs from the agents also affect the rate of stabilisation of behavioural strategies.