Abstract: With the continuous development of e-commerce, the e-commerce model of fresh agricultural products gradually integrates from online to offline. O2O (combination of online and offline) is a new e-commerce model that has emerged rapidly in recent years. Consumers can search for nearby businesses by using the smart phone positioning function, place orders on the mobile phone, and make mobile payments, so as to have a consumer experience in the business. This model can greatly shorten consumers' purchase path and decision-making time, and provide consumers with a better shopping experience. Therefore, based on the analysis of the development status of O2O e-commerce model for fresh agricultural products, this paper constructs a relevant theoretical model based on consumer behavior theory and the characteristics of O2O e-commerce model for fresh agricultural products. Through analysis, it is concluded that consumer behavior is affected by their purchase intention, which is also affected by perceived ease of use, perceived usefulness, perceived risk, platform trust The impact of personal innovation and the accessibility of offline delivery, etc., and based on the data of online and offline questionnaires as the analysis sample, SPSS and AMOS software were used to analyze and verify the proposed assumptions, so as to analyze the key influencing factors of consumer behavior under the O2O e-commerce environment of fresh agricultural products.Abstract: With the continuous development of e-commerce, the e-commerce model of fresh agricultural products gradually integrates from online to offline. O2O (combination of online and offline) is a new e-commerce model that has emerged rapidly in recent years. Consumers can search for nearby businesses by using the smart phone positioning function, place or...Show More
Abstract: E-commerce provides a number of sales channels for fresh agricultural products, which not only promotes agricultural development, but also improves the income level of farmers. With the rise of new consumer groups, the new generation of fresh agricultural products’ consumers will pay more attention to quality and convenience rather than low prices. The e-commerce model of community fresh agricultural products, which is deeply integrated online and offline, is increasingly welcomed by a new generation of consumers. Online to offline (O2O) e-commerce distribution efficiency of fresh agricultural products is high, but there are also problems such as high supply foundation and cold chain logistics construction costs, difficulty in standardizing agricultural products, large storage and transportation losses, and the need to cultivate user consumption habits. Community fresh food e-commerce needs to study the influencing factors of consumers' purchase behavior. According to the research results, there are many factors that affect consumers' purchase behavior of O2O fresh agricultural products. O2O e-commerce distribution efficiency of fresh agricultural products is high, but there are also problems such as high supply foundation and cold chain logistics construction costs. Based on the analysis of the consumers' behaviors, this study analyzed the influencing factors of fresh agricultural product consumer behaviors under new e-commerce mode and discussed the problems existed in fresh agricultural products and the e-commerce platform. The study results will help further promote the development of e-commerce of fresh agricultural products in China, and make the sales of fresh agricultural products in the e-commerce model of China create a new brilliance.Abstract: E-commerce provides a number of sales channels for fresh agricultural products, which not only promotes agricultural development, but also improves the income level of farmers. With the rise of new consumer groups, the new generation of fresh agricultural products’ consumers will pay more attention to quality and convenience rather than low prices....Show More
Abstract: The objective of this paper is to, empirically; determine the factors that influence food security in the Kayes and Koulikoro Regions of Mali. The study is based on data from EMOP-2019, a permanent survey conducted by the National Institute of Statistics (INSTAT). The sample consists of 970 households, including 421 households in the Kayes region and 549 households in the Koulikoro region that responded to the food insecurity question. The descriptive statistics indicate that the prevalence of food insecurity is higher in female-headed households than in male-headed households in both regions. They also show that the prevalence of food insecurity is higher in households headed by people with no education in Kayes than in households headed by people with education. In contrast, in the Koulikoro region, it is higher in households headed by people with primary education. The results of the regression of the Logit model reveal that, among the factors that determine food insecure households in the Kayes and Koulikoro regions are the nature of the job, the practice of secondary activities, the type of activity practiced by the household, the size of the household, and the share of food expenditures in total expenditures. These factors significantly increase the probability that the household will become food insecure. These determinants work against food security. The level of education of the head of the household has a positive influence on the level of food insecurity of the household but in a decreasing manner.Abstract: The objective of this paper is to, empirically; determine the factors that influence food security in the Kayes and Koulikoro Regions of Mali. The study is based on data from EMOP-2019, a permanent survey conducted by the National Institute of Statistics (INSTAT). The sample consists of 970 households, including 421 households in the Kayes region a...Show More