The unsafe use and misuse of pesticides in China are major threats to farmers’ health and the environment. The purpose of this study is to evaluate small-scale farmers’ practices with regard to pesticide use and identify the determinants of their behavior in Anqiu County, China. The results show that the frequency of pesticide application by local farmers is high and that the improper disposal of pesticides after use is common in the study area. Although most farmers felt that they were at some degree of risk when using pesticides, farmers were found to overuse pesticides in the study area. The probability of pesticide overuse significantly decreased with farmers’ risk perceptions, willingness to reduce pesticide use, better social relationships, and strict government monitoring. The perception of risk can thus be an important element in education and communication efforts.

This study aimed to estimate farmers’ willingness to pay (WTP) for health risk reductions of pesticide use by applying the contingent valuation method (CVM) and to explore the factors that influence farmers’ WTP in China. In total, 244 farmers were randomly selected and interviewed. The mean WTP was estimated to be $65.38 (0.94% of total household income) per household per year for a 5/10,000 reduction in morbidity risk. This study shows that farmers’ socioeconomic and attitudinal factors that significantly affect their WTP include farmers’ farming income, education, household size and risk perceptions. In particular, the results demonstrate that respondents’ social trust, social reciprocity and social networks have significant impacts on their WTP. The findings of this study can provide useful insights for policy makers to design effective policies to address health problems related to pesticide use in the developing world.

The carbon emissions trading policy is a key policy driving China’s low-carbon economic transition. Based on the policy environment of China’s carbon emissions trading pilot program from 2010 to 2021, this research selects representative heavy-polluting listed enterprises from this period as research subjects. Using the DID model, it investigates the impact of the carbon emissions trading policy on corporate ESG performance. The results of the research show that: (1) The carbon emissions trading policy significantly improves the ESG performance of heavy-polluting enterprises. (2) The carbon emissions trading policy enhances corporate ESG performance primarily by alleviating external financing constraints and stimulating green technological innovation within enterprises. (3) Due to differences in corporate characteristics and decision-making structures, the impact of carbon emissions trading policies on the ESG performance of heavily polluting enterprises exhibits heterogeneity. The findings of research are of great significance for a comprehensive understanding of the carbon emissions trading policy, facilitating fundamental changes in enterprises, promoting the construction of the carbon emissions trading market, and ensuring the timely achievement of the “dual carbon” goals.

Improving local farmers′ climate change adaptive capacity is an important policy issue in rural China. This study investigates farmers′ risk cognition, risk preferences and climate change adaptive behavior. Based on unique data from a survey and a paired lottery experiment completed by 240 rural farmers in Chongqing City of China, this paper finds that farmers have a pessimistic risk cognition towards climate change and the typical farmers are risk-averse and loss-averse. Risk cognition and adaptation cognition have significantly positive influences on climate change adaptive behavior, and loss aversion has a significantly positive influence on farmers′ adaptation decisions. Loss aversion exerts a positive impact on risk cognition and adaptation cognition, and risk aversion has a positive impact on adaptation cognition. This paper contributes to the emerging literature that relates risk preference in experiments and risk cognition to farmers′ climate change adaptive behavior.

The quality of social relationships is recognized as an important aspect of human well-being. Improving social relationships can help to promote other aspects of human well-being, such as health and income. The development of individual social relationships relies on regional social relationships. However, few studies have focused on social relationships evaluation at the regional level. Therefore, the study aims to construct a comprehensive evaluation index system and to evaluate regional social relationships by calculating the regional social relationships index (RSRI). The weights of the indicators were calculated by using the analytic hierarchy process (AHP) and entropy weight method. The social relationships of prefecture-level cities in the Qinghai–Tibet Plateau were evaluated based on statistical data. The results showed that (1) the top three indicators of comprehensive weight were number of community service agencies, number of vehicles operated on highway, and telephone penetration; (2) the regional social relationships on the Qinghai–Tibet Plateau showed an upward trend from 2010 to 2019; (3) the average RSRI scores of prefecture-level cities in Qinghai and Gansu were higher than other provinces; and (4) the number of community service agencies was the main obstacle factor for the development of regional social relationships in the Qinghai–Tibet Plateau. The finding of this study can provide further insights about social relationships research from a regional analysis perspective and cover the gap in the literature on regional social relationships.