The implementation of effective waste separation policy is an important pathway to guide the public to actively participate in the waste separation action. This study focused on exploring the Chinese public’s response to the rigid and flexible waste separation policies from the perspectives of understanding, willingness to support, and willingness to implement. We used a big data mining technique to obtain 10,057 entries of the Chinese public’s response to the mandatory waste separation policy. The results showed that “public’s understanding–support willingness-implement willingness” regarding mandatory waste separation policy was characterized by a U-shaped response. Specifically, the public’s understanding and willingness to implement the rigid waste separation policy were relatively high in the short term, but their willingness to support this policy was relatively low and became increasingly low over time. Particularly, “troublesome” implementation was deemed to the main reason for the public’s low willingness to support the rigid waste separation policy. In addition, we further obtained the sample data of the Chinese public regarding the flexible waste separation policy through the situational survey. Contrary to the response characteristics of mandatory waste separation policy, the results showed that “public’s understanding-support willingness-implement willingness” regarding flexible waste separation policy was characterized by an inverted U-shaped response, and the Chinese public showed more positive sentiment regarding the willingness to support and implement. The results have important implications for guiding the public to actively participate in the waste separation action.

It is of great value to study consumer demand for safe foods in promoting the development of a safe food market system and the reduction of food safety risks, as well as foodborne diseases in China. This paper takes traceable pork as an example and constructs food safety information attributes with ex ante quality verification and ex post traceability. Interactions between safety information attributes and the consumer’s response to cost-driven price changes were investigated for 345 consumers in Wuxi City, Jiangsu Province, China, using a menu-based choice (MBC) experiment and multivariate probit (MVP) model as analysis tools. The results suggest that food safety information attributes are important to consumers, as the consumers preferred pork quality inspection attributes to pre-incident quality assurance functions. Therefore, it is beneficial to include pork quality inspection attributes in the traceable pork attribute systems during the initial construction of traceable pork markets in China. Attribute price was an important factor that affected consumers’ choice of information attributes. When customization cannot be achieved, a profile composed of elastic pork quality inspection attribute and supply chain–internal traceability attribute would be the most preferred traceable pork product in the market based on the need of building a fully functional traceable food system and reducing food safety risks. In addition, there was a strong substitution relationship between different information attributes, and there was heterogeneity in consumers’ choice of information attributes. Therefore, the government should support manufacturers in producing multi-level safe food to meet diverse consumer demand.

Frequent food safety problems in recent years have seriously affected China’s public health. The complexity, diversity, and technicality of food safety problems are intertwined, which constantly promotes the Chinese government and the food industry to explore effective food safety governance mechanisms. As the dominant form of vertical coordination in agri-food supply chain, contract farming is conducive to promoting farmers’ safe production behavior, improving food quality and safety, and ensuring public health. However, the low contract performance rate seriously restricts the effect of contract farming on reducing the risk of food safety in China. This paper empirically investigates the role of farmers’ risk attitude and contract arrangements in their enforcement. The data is derived from a household survey and economic field experiment of fruit farmers participating in contract farming in Anhui and Jiangsu provinces of China. We measure farmers’ risk attitude by using an economic field experiment, and examine how risk attitude and contract arrangements affect contract enforcement with a probit model. The results show that contract enforcement is significantly (1% level) influenced by farmers’ risk attitude. Farmers with greater risk aversion and loss aversion and farmers who are more accurate in evaluating probability information are more likely to fulfill the contract. Additionally, most contract arrangements have a significant effect on contract enforcement at the 5% level. Contract arrangements with floor pricing, bonus, and long duration are related to a higher rate of farmers’ contract performance. Furthermore, the factors influencing contract enforcement differ based on the levels of farmer’ risk attitude. The findings of the study may be conducive to formulating relevant agricultural policy to influence farmers’ decision-making and thus improving food safety and ensuring public health.

Exploring the inherent mechanisms by which the digital economy fosters rural environmental governance holds paramount importance for driving the sustainable development of rural regions and elevating the living standards of rural residents. Drawing upon theoretical frameworks and extensive literature reviews, we have devised comprehensive indicator systems for quantifying the development trajectory of the digital economy and the efficacy of rural environmental governance, employing the entropy method for measurement. Leveraging panel data that spans from 2011 to 2022, encompassing 31 provinces across China, we empirically delve into the influence of the digital economy on rural environmental governance, along with its underlying mechanisms, by employing a fixed effects model. The baseline regression results reveal that the development of the digital economy can significantly promote the improvement of rural environmental governance, even after considering potential endogeneity issues. Moreover, the test results of the mediation effect show that the digital economy can enhance the level of rural environmental governance by accelerating industrial structure optimization and improving green technology innovation. Furthermore, the test result of the regulatory effect implies that the urban–rural dual structure may inhibit the positive effect of the digital economy on rural environmental governance. Additionally, there exists regional disparities in which the digital economy influences rural environmental governance, with the eastern region exhibiting a more pronounced effect compared to other regions.

The attention regarding individuals’ external appearance and social identity provides a unique perspective to reveal the cause of their behavior. This study explored the formation mechanism of individual food waste behavior in China from the perspective of appearance image construction and social image construction, especially considering the role of emotion, education level, and body mass index (BMI) in relationship transmission. This study collected data by questionnaire in 133 cities in 32 provinces of China. By using the methods of factor analysis, correlation analysis, and hierarchical regression analysis, the results show that individuals with high need for external appearance image (r = 0.242, p < 0.001) and social image construction (r = 0.31, p < 0.001) are more likely to waste food. In terms of transmission mechanisms, positive emotions (e.g., excitement) (β = 0.104~0.187, 95% confidence interval) and negative emotions (e.g., anxiety and disgust) (β = 0.08~0.177, 95% confidence interval) are the intermediary factors of image construction affecting food waste behavior, and emotional fluctuations can aggravate individuals’ food waste behavior. In terms of interaction effects, BMI significantly positively regulates the predictive effect of image construction on food waste behavior, while the level of education buffers this predictive effect. Finally, relevant policy suggestions are put forward to guide individuals to reduce food waste.

Reducing pesticide use is of great significance for ensuring the quality and safety of agricultural products, as well as alleviating agricultural non-point source pollution. Exploring the mechanisms by which environmental regulation drives pesticide reduction under different scenarios can help improve policy effectiveness and promote the sustainable development of agriculture. Utilizing panel data from 30 Chinese provinces spanning the period of 2010 to 2023, this study empirically analyzed the impact of environmental regulation on pesticide use through a fixed-effect model and further explored the moderating role of agricultural economic scale in this process. Moreover, a heterogeneity analysis was conducted based on regional and environmental regulation dimensions, respectively. The findings reveal that, overall, there exists an inverted U-shaped relationship between environmental regulation and pesticide use, where it initially increases and then decreases. Agricultural economic scale, serving as a moderating variable, amplifies the promotional effect of environmental regulation on pesticide reduction and accelerates the attainment of the inflection point of the inverted U-shaped curve. Regional heterogeneity analyses reveal an inverted U-shaped relationship between environmental regulation and pesticide use in the eastern and central regions, while this relationship is not significant in the western region. Notably, market-based environmental regulation exhibits a more pronounced impact compared to command-and-control environmental regulation.