Harvest agricultural products are perishable. If they cannot be sold, there will be serious grain loss and food waste. It is an important issue related to human sustainable development and urgent to address. As the most popular way of shopping, live shopping has achieved remarkable achievements, while the existing research is relatively silent on how to promote the sales of agricultural products in the context of live streams. Based on S–O–R theory and dual-system theory, three studies investigated the intrinsic mechanism of consumers’ impulse purchase intention (IPI) in live streams. The results show that scarcity promotion (SP) and cause-related events (CRE) are positively correlated with consumers’ IPI through arousal and moral elevation. Interestingly, when SP and CRE are presented at the same time, the impact of CRE on IPI is no longer significant. Overall, the proposed model could be used to predict consumers’ willingness and provide the choice of marketing strategy to promote the sale of agricultural products, which has significant theoretical and practical value.

In recent years, people pay more and more attention to food safety. In order to study the relationship between agricultural product safety and location selection of distribution centers, this paper studies the establishment mechanism of agricultural product distribution centers based on food safety in the e-commerce environment. Based on the cost optimization perspective, the analytic hierarchy process is used to qualitatively analyze the four influencing factors of transportation cost, storage cost, processing cost and human resource cost, and the relevant weights are obtained. Then the gray correlation degree is used to evaluate the four candidate towns. The selection of the optimal distribution center site is selected to provide reference for the research of fresh and perishable products such as yak meat, and the research on the safety mechanism of agricultural products is put forward.

Agricultural product trade along the Belt and Road (B&R) is an important part of the international food security system, the vulnerabilities of which have been highlighted by the recent COVID-19 pandemic. Based on the complex network analysis, this study analyzes the characteristics of agricultural products trade network along the B&R. It also combines the effects of COVID-19 with the import trade volume of agricultural products in countries along the B&R to build a risk supply model of agricultural products. The results show that: (1) In 2021, the spatial correlation structure of agricultural products trade along the B&R became increasingly sparse, and the network connectivity and density also decreased. (2) The network showed obvious scale-free distribution characteristics and obvious heterogeneity. Five communities emerged under the influence of the core node countries, but the formation of community in 2021 had obvious geopolitical characteristics. (3) Under the influence of the COVID-19 epidemic, the number of countries with medium-risk and high-risk level along the route facing external dependence risk (REDI), import concentration risk (RHHI) and COVID-19 epidemic risk (RRICI) increased in 2021, and the number of countries with extremely low-risk level decreased. (4) The dominant risk type of external supply of agricultural products along the route changed from compound risk type in 2019 to epidemic risk in 2021. Hence, the results can be expected to prevent external risk impact from reducing excessive concentration of agricultural products trade and excessive dependence on the external market.

ObjectiveTo identify risk factors for impaired glucose regulation (IGR) and assess their impact on community residents, this study used a questionnaire to conduct cross-sectional surveys and analysis.MethodsOverall, 774 residents of an urban community in northern China (Jian city) participated in this study. Trained investigators conducted surveys using questionnaires. Based on their medical history, respondents were divided into three glucose status groups as follows: normal (NGT), IGR, and diabetes mellitus (DM). Statistical analysis of survey data was performed using SPSS v. 22.0.ResultsAge, hypertension, family history of diabetes (FHD), dyslipidemia, obesity, and cardiovascular and cerebral disease (CVD) were positively correlated with IGR in men and women. IGR was negatively correlated with a sedentary lifestyle in men and positively correlated with being overweight in women. The number of type 2 diabetes mellitus (T2D) risk factors per subject was positively correlated with age in the NGT group. Glucose status deteriorated with increasing age and the number of risk factors. FHD was the strongest risk factor in both men and women.ConclusionsPrevention of IGR includes weight control, physical activity, and prevention of hypertension and dyslipidemia, especially in subjects with FHD.

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