Mitigating agricultural carbon emissions is pivotal for attaining the objectives of carbon peak and carbon neutrality. Utilizing a time-varying parametric Cobb-Douglas (C-D) production function, this study employs an enhanced Logarithmic Mean Divisia Index (LMDI) decomposition approach, the Tapio decoupling model, and Monte Carlo simulations to investigate the determinants and decoupling dynamics of agricultural carbon emissions within Sichuan Province from 2010 to 2020. The findings reveal that: (1) Factors such as carbon emission intensity, agricultural structure, labor inputs, and capital stock played a significant role in suppressing agricultural carbon emissions, collectively contributing to a reduction of 484.12 million tonnes. (2) The unstable decoupling of agricultural carbon emissions from economic development in Sichuan Province. Capital stock, alongside carbon emission intensity and agricultural structure, significantly contributed to this decoupling. To harmonize agricultural economic growth with carbon emission reduction, emphasis should be placed on manure management and resource utilization in livestock and poultry farming. Furthermore, leveraging technological advancements to enhance resource efficiency is crucial for reducing carbon emissions. Simultaneously, strategic management of fixed asset growth, focused on energy conservation, can catalyze the synergistic effects of economic development and technological spillovers.

Effective biosecurity measures are crucial in controlling and preventing major pig diseases, ultimately ensuring farm income and social stability. This study extracted data from 205 farmer surveys in Sichuan Province, China, to construct a biosecurity index system for pig farms. The biosecurity levels of pig farms were evaluated using a projection pursuit method to identify weak areas. The Tobit model was then utilized to determine the factors that influenced the biosecurity levels. The results indicated that the overall biosecurity levels of the pig farms were low. The study found that the average biosecurity score among farms was 0.61, with a minimum score of 0.37 and a maximum score of 0.89 (on a scale of 0 to 1). These results suggest that there are significant differences in biosecurity levels among the farms. The study also found that the scores for first-level indicators related to breeding environment management, as well as second-level indicators related to personnel management and awareness of African swine fever prevention and control, were significantly lower than scores for other indicators in the farmers’ biosecurity systems. This study investigated the factors influencing biosecurity on farms and found that technical training, farm size, income share, production organization, and government inspections had a significant impact on the level of biosecurity implemented. This study emphasizes the significance of biosecurity in enhancing pig farm biosecurity and its role in improving farm resilience to major animal diseases like African swine fever. It also provides valuable insights for policymakers to make informed decisions regarding related policies.

African Swine Fever (ASF) is a highly infectious disease, severely affecting domestic pigs and wild boar. It has significantly contributed to economic losses within the pig farming industry. As a critical component of biosecurity measures, the selection of cleaning and disinfection (C&D) procedures is a dynamic and long-term decision that demands a deeper knowledge base among pig farmers. This study uses a binary logit model to explore the effect of epidemic prevention training on the adoption of C&D procedures among pig farmers with irregular and regular C&D procedures based on micro-survey data obtained from 333 pig farmers from Sichuan. The endogeneity issue was handled using propensity score matching, resulting in solid conclusions. In addition, the critical mediating impact of biosecurity cognition was investigated using a bootstrap analysis. The empirical study demonstrated that epidemic prevention training encourages pig farmers to adopt C&D procedures, with biosecurity cognition significantly mediating. Furthermore, epidemic prevention training was more likely to promote the adoption of C&D procedures among pig farmers with shorter breeding experiences and those having breeding insurance. Our study emphasized the importance of implementing epidemic prevention training to improving pig farmers’ biosecurity cognition and promoting the adoption of C&D procedures. The results included suggested references for preventing ASF and the next epidemic of animal diseases.

This paper examined the effects of household technology on child health using evidence from the Chinese government’s “Home Appliances Going to the Countryside” policy. A difference-in-differences approach was employed to examine 2000 to 2015 data from the China Health and Nutrition Survey data from before the policy in 2007 to after the policy was implemented. It was found that the policy-induced household technology adoption significantly increased child health, especially girls’ health. Various sensitivity tests proved this finding to be robust. The potential paths through which household technology improved child health were also examined from which it was found that parental care for children and increased nutrition were effective paths between household technology and health status. These results could guide policymakers when constructing and developing a supportive child health system in China.

Cultivating and strengthening agricultural new quality productive forces (ANQPF) has become a key pathway for driving high-quality agricultural development (HQAD), ensuring food security, and advancing agricultural modernization. To investigate the spatiotemporal evolution and underlying mechanisms linking ANQPF and HQAD in the Tuojiang River Basin, this study employs panel data from 37 counties in the Tuojiang River Basin over the period 2011–2020. The entropy method and the DEA-BCC model are used to measure the levels of ANQPF and HQAD, while the fixed effects model, the mediating effect model, and the spatial econometric model are applied to examine the mechanisms through which ANQPF affect HQAD. The findings indicate the following: (1) The level of ANQPF is relatively low but has shown continuous growth, whereas the level of HQAD is relatively high but exhibits considerable fluctuation. Moreover, both dimensions display uneven development across regions. (2) ANQPF significantly promote HQAD at the 1% level, with agricultural technology development and green development serving as mediating mechanisms. However, a suppression effect is identified in agricultural technology development, and ANQPF exhibit a short-term inhibitory effect on agricultural green development. (3) Heterogeneity analysis indicates that the promoting effect of ANQPF is statistically significant in upstream and downstream regions but is not yet significant in the midstream region. (4) Further analysis reveals that ANQPF have a significant positive effect on HQAD within local regions. However, the spatial spillover effect across regions has not been fully realized. Therefore, to better leverage ANQPF in advancing HQAD, efforts should focus on addressing the challenges of agricultural technology extension and implementation, and on fostering new agricultural business entities. A special subsidy mechanism should be established with green transition as the guiding orientation to alleviate ecological protection pressure in the early stages of agricultural development. With regional coordination as the overarching goal, differentiated support policies should be implemented to promote overall basin development.

The resource utilization of swine manure represents a critical pathway for advancing sustainable agricultural development. This study, based on survey data from 509 swine farmers in Sichuan Province, employs the Ordered Probit (Oprobit) model and the Conditional Mixed Process (CMP) model to analyze the mechanisms and pathways through which cognition about manure treatment, environmental regulation, and their interaction influence farmers’ behaviors towards manure resource utilization. It further delves into the heterogeneous characteristics of influencing factors. The findings reveal the following: (1) Farmers possess a high level of cognition regarding manure treatment, while environmental regulation is moderately implemented. The principal methods of manure resource utilization focus on recycling to fields and organic fertilizer production, with over 95% of farmers adopting at least one method of resource utilization. (2) Both cognition of manure treatment and environmental regulation significantly promote the behavior of manure resource utilization. There are substitutive or complementary effects between moral cognition and constraint regulation, as well as capability cognition and guidance regulation. (3) Among the farming community, the behavior of large-scale farmers is mainly influenced by moral cognition, whereas non-large-scale farmers are more affected by capability cognition and guidance regulation; middle-aged and young farmers are predominantly influenced by capability cognition, incentives, and guidance regulation, whereas the older generation of farmers is driven more by moral cognition and guidance regulation. Based on these insights, this study proposes targeted strategies for enhancing cognition and regulatory alignment across different groups, aiming to elevate the level of manure resource utilization and promote the green transformation of livestock farming.