Yuan Jiang

Against the backdrop of evolving global climate patterns, the frequency and intensity of extreme weather events have increased significantly, posing unprecedented threats to agricultural production. This change has particularly profound impacts on agricultural systems in developing countries, making the enhancement of farmers’ capacity to withstand extreme weather events a crucial component for achieving sustainable agricultural development. As an essential safeguard for agricultural production, agricultural insurance plays an indispensable role in risk management. However, a pronounced gap persists between policy aspirations and actual adoption rates among farmers in developing economies. This study employs the integrated theory of planned behavior (TPB) and protection motivation theory (PMT) to construct an analytical framework incorporating psychological, socio-cultural, and risk-perception factors. Using Jiangsu Province—a representative high-risk agricultural region in China—as a case study, we administered 608 structured questionnaires to farmers. Structural equation modeling was applied to identify determinants influencing insurance adoption decisions. The findings reveal that farmers’ agricultural insurance purchase decisions are influenced by multiple factors. At the individual level, risk perception promotes purchase intention by activating protection motivation, while cost–benefit assessment enables farmers to make rational evaluations. At the social level, subjective norms can significantly enhance farmers’ purchase intention. Further analysis indicates that perceived severity indirectly enhances purchase intention by positively influencing attitude, while response costs negatively affect purchase intention by weakening perceived behavior control. Although challenges such as cognitive gaps and product mismatch exist in the intention-behavior transition, institutional trust can effectively mitigate these issues. It not only strengthens the positive impact of psychological factors on purchase intention, but also significantly facilitates the transformation of purchase intention into actual behavior. To promote targeted policy interventions for agricultural insurance, we propose corresponding policy recommendations from the perspective of public intervention based on the research findings.

Addressing energy poverty is integral to the United Nations Millennium Development Goals, and clean energy technology serves as an essential tool in mitigating this issue. Existing studies pay less attention to the correlation between the two. In this study, we quantify the spread of clean energy technology using patent citation information and analyze balanced panel data from 30 provinces in China spanning the years 2004 to 2019. The findings reveal that the diffusion of clean energy technology not only directly reduces energy poverty but also indirectly alleviates it by enhancing energy efficiency and fostering employment. However, the positive impact of technology on poverty is affected by human capital. Specifically, when the number of college students per 10,000 people in a province surpasses 179, technology diffusion becomes effective in alleviating energy poverty. Furthermore, the efficacy of this mitigation varies significantly based on different regions. Technologies originating from developed economies such as the United States, Japan, and the European Union exhibit a more substantial impact than domestic alternatives. Additionally, the effect of alleviating energy poverty is more significant in the eastern region. Therefore, we make policy recommendations for alleviating energy poverty through the use of incentive policies, exploring differentiated models of clean energy technology development, and strengthening international cooperation.

Introduction: In the context of COVID-19 epidemic, household-level emergency supplies are becoming a critical link in the national emergency response mechanism for public health emergencies. The main goal of this study is to analyze the forming process of household emergency supplies storage intention and behavior based on the theory of planned behavior.Methods: A total of 486 valid questionnaires were obtained from China and analyzed using structural equation modeling.Results: The study found that subjective norms and perceived behavioral control had a positive impact on residents’ intention to store emergency supplies, while attitudes did not play a significant role. Community institutional trust and community network play significant moderating roles in the transformation from intentions to behaviors.Discussion: This study explored the influencing factors of residents’ household emergency supplies storage, and introduced community institutional trust and community network as moderating variables to analyze the process of transformation of residents’ household emergency supplies storage intentions to behaviors from the perspective of community situation, and initially constructed a two-stage integration model including intention formation and behavior transformation. By analyzing the forming process of household emergency supplies behavior, this paper revealed the effective paths for the formation of household emergency supplies storage intention, and put forward policy suggestions from the government and community levels.