ABSTRACT
The purpose of this article is to discuss the purchasing behavior (PB), influencing factors, and personal factors of Chinese consumers through literature review, questionnaire survey, and research results. The frequency and amount of purchasing behavior (FPB and APB) are studied in the consumption behavior. In the influencing factors, channel cognitions (CC), product cognitions (PC), and the influence of personal factors on consumer consumption behavior of fresh agricultural products. The FPB and APB are significantly and positively correlated with the CC, PC, and advantage cognition (AC). The FPB and APB are significantly and negatively correlated with disadvantage cognitions (DC). People's CC, PC, and DC significantly affect their FPB and APB. © 2022 IEEE.
ABSTRACT
Forecasting the demand for cold chain logistics of agricultural products will help to achieve the balance between supply and demand of agricultural products and promote the healthy development of the cold chain logistics industry of agricultural products. This paper collects relevant data from 2015 to 2020 in Shanghai, and uses grey correlation analysis to conduct correlation analysis on the factors influencing the demand for cold chain logistics of fresh agricultural products. The traditional GM (1,1) model, the new information GM (1,1) model and the metabolism GM (1,1) model are used to forecast the demand for cold chain logistics of agricultural products in Shanghai in the next five years respectively. The grey correlation analysis shows that the employees of the tertiary industry and the total import and export of goods have the greatest impact on the market demand of cold chain logistics and the results of the three GM (1,1) models show that the sum of squared errors of using the new information GM (1,1) model is smaller. Finally, using the new information GM (1,1) model to forecast the demand for cold chain logistics of agricultural products in Shanghai from 2021 to 2025, and it is found that the overall demand for agricultural cold chain in Shanghai is on an upward trend. © 2022 IEEE.
ABSTRACT
During COVID-19, the explosive growth of demand for fresh agricultural products on E-commerce platform has increased the difficulty of maintaining the greenness and freshness in delivery. The traditional cold chain delivery is effective in keeping greenness, but its information asymmetry makes the freshness-keeping activities unable to be regulated, which may lead to the supply chain members giving up their freshness-keeping efforts. Can the blockchain technology effectively solve these problems? We consider a fresh agricultural product supply chain consisting of a supplier and an E-commerce platform (retailer). The retailer is responsible for the wholesale and sales of fresh agricultural products, and determines the blockchain adoption degree and advertising effort. The supplier is responsible for delivering fresh agricultural products to consumers, and determines the greenness investment and freshness-keeping effort. Based on the traditional and blockchain-based fresh agricultural product supply chain, we discuss the dynamic optimization of freshness-keeping effort, advertising effort, and blockchain adoption degree. Results show that the supplier will give up the freshness-keeping effort after receiving the wholesale funds in the traditional fresh agricultural product supply chain, which will naturally worsen the fresh agricultural products. When adopting blockchain technology, the supplier continues to make the freshness-keeping effort in delivery. And five specific settings are proved that blockchain is effective in maintaining freshness. But two other specific settings are determined that it is not suited for adopting blockchain. In addition, compared with the traditional fresh agricultural product supply chain, blockchain adoption can effectively reduce the freshness-keeping effort, advertising investment and goodwill for achieving the same profit margin level, and will not affect the greenness investment decision of the supplier. Our research can provide some insights into the cold chain logistics management of fresh blockchain. © 2022
ABSTRACT
Under the background of COVID-19, this paper constructs an evolutionary game model of strategic management of logistics enterprises and local governments from cost and revenue to ensure the effective distribution of fresh agricultural products. It analyzes the evolution path of decision-making behavior and the stable parts that promote the model to achieve equilibrium. The results show that the decisions of game players will affect each other, and the final strategy choice is directly related to the input cost, the value-added amplification factor of income, the reward, and punishment. Because the model eventually has two evolutionary stable states, strengthening the cooperation between logistics enterprises and local governments will help to improve the efficiency of the effective distribution of fresh agricultural products and provide a theoretical reference for the effective distribution of fresh agricultural products under other public health events. At the same time, it is also of certain significance to further solve the problem of farmers’ income in the three rural issues. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
BACKGROUND: The COVID-19 outbreak caused short-term disruptions in the supply chain of fresh agricultural products (FAPs), which exposed the vulnerability of the existing FAP supply chain. With pandemic control being widely coordinated, the supply chain of FAPs was gradually optimized and improved. However, after the outbreak of COVID-19, achieving an effective supply of FAPs in future pandemics has become a key issue. The present work therefore aimed to construct a three-level supply chain based on the Stackelberg game model, consisting of suppliers, third-party logistics (TPL), and retailers, to guarantee the supply of FAPs. COVID-19 pandemic factors such as virus infection coefficients and pandemic prevention efforts were fully integrated into the model. RESULTS: Compared with the wholesale prices of FAPs, preservation efforts and pandemic prevention efforts have huge impacts on the retail prices of FAPs. When suppliers are in the leading position, the quality assurance effort level is positively correlated with the optimal profit. Compared with this situation, when FAP retailers are in the leading position, TPL providers show higher levels of pandemic prevention effort and FAP preservation effort. With an increase in consumer preference for pandemic prevention, the profits of supply-chain members when FAP retailers are in the leading position will gradually increase. CONCLUSION: This study reveals an effective supply mechanism for FAPs in metropolitan areas during the COVID-19 pandemic and describes the authors' experience of guaranteeing the quality and safety of FAPs for future pandemic cases. © 2021 Society of Chemical Industry.