The green production behavior of pig farmers is the basis for high-quality development in animal husbandry. In order to solve the problem of poor green production behaviors in small- and medium-sized pig farmers, it is necessary to analyze the influencing factors and how they interact with each other. The Rational Peasant Theory and Prospect Theory were used in this paper to analyze the occurrence motivation of the green production behaviors of small- and medium-sized pig farmers. The Logit model and the ISM analysis method were used to test the influencing factors and their mechanisms. This was conducted using data from a study of 747 small- and medium-sized pig farmers in Henan Province. The results show that the green production behaviors of small- and medium-sized pig farmers are motivated by internal expected return, affected by the monitoring pressure from external stakeholders and limited by their own resource capacity; the influencing factors of different green production behaviors are different, and there are more influencing factors of scientific disease control, standardized management and waste recycling than of rational feeding. The following shows how the influencing factors on pig farmers’ green production behavior interact with one another: level of education → external pressure, farming conditions and operating characteristics → cognition of return → green production behavior (i.e., cognition of return is the direct factor; external pressure, farming conditions and operating characteristics are indirect factors; and level of education is the underlying factor). Some measures should be implemented to promote green production behaviors, such as the continuation of the support for green production, the strengthening of supervision and publicity, the increasing of investment in technology and equipment, and the improving of the green production literacy of farmers. In conclusion, this paper deepens the understanding of the mechanism of green production behaviors of small- and medium-sized pig farmers, and provides the theoretical basis and concrete measures for the government and for pig farmers.

The dramatic fluctuations in grain prices and the threat to grain security caused by global economic policy uncertainty have been a social concern and a challenging area for price management authorities to regulate. Based on general equilibrium analysis in microeconomics, this paper constructs a mathematical model of the impact of global economic policy uncertainty on grain price fluctuation. It then examines the micro mechanism of non-linear grain price fluctuation under the dominant market mechanism and measures the non-linear shock effect of global economic policy uncertainty on grain prices using a threshold regression model. The results show that soybean and corn prices are subject to a two-zone fluctuation pattern due to global economic policy uncertainty. The impact has significant non-linear characteristics and is significantly greater in the high zone than that in the low zone. Accordingly, this paper offers government departments advice on better regulating and managing the market supply and demand and smoothing out sharp fluctuations in grain prices caused by changes in global economic policies.

Introduction: With the rapid development of digital agriculture, digitalization has gradually become a key factor affecting the resilience of China’s pig farming industry.Methods: From both the test results and the theoretical point of view, the individual fixed-effect model is more suitable for this paper’s study. Therefore, based on the panel data of 31 provinces in China from 2011 to 2022, this study constructs an individual fixed-effect model to examine how digitization affects the resilience of China’s pig farming industry.Results and discussion: The findings indicated that digitization significantly enhanced the resilience of China’s hog breeding industry, especially in potential growth areas. Improving breeding technology and scale is a crucial avenue for digitalization to bolster the industry’s resilience. Digitalization exerts a double threshold effect on the industry’s resilience, with its promotional impact only realized within a specific range. The article proposes policy suggestions, such as strengthening infrastructure construction and giving play to regional advantages.

【目的】数字乡村建设被视为农业绿色转型的重要途径，但其对农业碳减排的影响尚未明确。本文旨在厘清数字乡村建设影响农业碳减排的直接效果、间接传导路径与空间溢出特征。【方法】基于2009—2022年中国省级面板数据，利用中介模型、门槛模型和空间计量模型实证研究数字乡村建设对农业碳减排的影响。【结果】①基准回归表明，数字乡村建设显著促进农业碳减排；且该影响存在基于自身发展水平的双重门槛特征。当跨越特定发展阶段后，其对农业碳排放由初期的促进作用转为显著的抑制作用。从碳排放结构看，数字乡村建设在农资投入、稻田甲烷和牲畜养殖3类主要排放源上均表现出显著的减排效果，对秸秆燃烧的影响不显著，而在能源利用方面则表现出显著的增排效应。②数字乡村建设主要通过促进人力资本提升、技术进步与城乡融合来推动农业碳减排。③农业碳排放表现出显著的空间关联特征，数字乡村建设对农业碳减排兼具本地效应与空间溢出效应。④数字乡村建设的农业碳减排效应在不同作物产区和环境规制强度下存在差异，碳减排效应在小麦玉米主产区及强环境规制地区更为显著。【结论】推进数字乡村建设是促进农业碳减排的重要途径，据此建议加大农业数字化转型力度，快速越过数字乡村建设对农业碳减排效应的作用拐点；在数字乡村建设中重点促进农民数字素养提升、推动技术应用深化、推进城乡深度融合；强化区域之间数据平台链接及数据共享，以更好地推动农业碳减排。