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논문 기본 정보

자료유형
학술저널
저자정보
邵欣欣(Shao xinxin) (군산대학교 국제창업학과) 高阔(Gao Kuo) (군산대학교) 강태원
저널정보
한중사회과학학회 한중사회과학연구 한중사회과학연구 제17권 제1호
발행연도
2019.1
수록면
7 - 24 (18page)

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In recent years, fresh agricultural products have increasingly become one of the indispensable foods on the table of consumers. However, due to the natural attributes of fresh agricultural products, fresh agricultural supply chain has higher risks than general supply chain. Therefore, it is particularly important to identify and evaluate the risks of fresh agricultural supply chain. This paper firstly combs the relevant domestic and foreign literatures on the risk of fresh agricultural product supply chain. On this basis, on the basis of building the fresh agricultural products supply chain risk evaluation system, involved 4 first-level indicators (demand risk, supply risk, logistics risk, information risk) and 12 secondary indicators, through the questionnaire survey to get the data by using AHP to determine the index weight, and the three different cases of fresh agricultural products supply chain risk assessment analysis, the results showed that: (1) in the risk system of fresh agricultural product supply chain, the weight of demand risk is the largest (0.5174), followed by supply risk (0.2490), logistics risk (0.1279), and information risk (0.1057). (2) among the 12 secondary risk indicator systems, the top six are price fluctuation (0.2753), product quality safety (0.1942), consumer preference (0.1894), delivery delay (0.0627), competition for the same product(0.0527) and information distortion (0.0518). (3) in the case study, the fresh agricultural products supply chain with BoLai agriculture as the core has the strongest risk resistance ability, followed by YiXiangnong and XianKelai. Finally, this paper puts forward some countermeasures and Suggestions from the aspects of supply and demand, logistics technology and mode, informatization and so on. In this paper, the risk assessment system of fresh agricultural supply chain is constructed by combining qualitative and quantitative methods and conducts empirical analysis, which provides theoretical basis for scientific risk avoidance countermeasures and effectively guarantees the continuous and stable operation of fresh agricultural supply chain.

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