Fresh Agricultural Products Research Articles

Research on cooperative advertising strategies for dual channel supply chain of fresh agricultural products considering carbon reduction efficiency under retailer leadership.

With the development of low-carbon economy and the dominant position of retailers, through the establishment and comparison of three cooperative advertising models: model of supplier's independent advertising, model of supplier's independent advertising and model of retailer's and supplier's cooperative advertising, this paper studies the cooperative advertising decision-making of fresh agricultural products supply chain with two channels, and the demand of both channels is affected by the level of advertising investment, the proportion of advertising cost sharing and the efficiency of carbon emission reduction. The results show that when supplier and retailer adopt the two-way cooperative advertising mode, the demand and profit level of the two channels reach the optimal level. Numerical analysis shows that carbon emission reduction efficiency has an important impact on profits and market demand, which is closely related to cooperative advertising strategy.

Impact of Geographical Indications on Consumers’ Online Purchase of Fresh Agricultural Products

Impact of Geographical Indications on Consumers’ Online Purchase of Fresh Agricultural Products

Factors Influencing on the Evaluation System of Cold Chain Logistics Services for Agricultural Products in Guangxi Province, The People’s Republic of China

The objectives of this study were: (1) To study the factors that affect the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (2) To study the relationships between influence factors and the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. (3) To build a model of relationship between quality management and the evaluation system of cold chain logistics services and propose suggestion for improving the evaluation system of cold chain logistics services for agricultural products in Guangxi Province, the People’s Republic of China. The study employed a mixed research methodology. In the quantitative analysis section, a questionnaire survey was conducted using simple random sampling. In the qualitative part of the analysis, in-depth interviews were conducted with eight senior managers from agricultural production departments, logistics management companies, fresh agricultural product sales companies, hotels, and government departments. The data analysis utilized statistics including frequency, percentage, mean, standard deviation, and structural equation model. Major Findings: the factors influencing the evaluation system of cold chain logistics services for agricultural products in Guangxi Province were examined. The identified influencing factors included agricultural product cold chain logistics quality management, logistics environment, and transportation efficiency. It was found that agricultural product cold chain logistics quality management has a significant positive impact on the logistics environment, transportation efficiency, and agricultural product cold chain logistics service evaluation system. At the same time, the logistics environment and transportation efficiency have a significant positive impact on the agricultural product cold chain logistics service evaluation system. This study presents the issues with the development of the cold chain logistics service evaluation system for agricultural products in Guangxi, along with countermeasures and suggestions for improvement.(1)Full utilization of existing resources to promote industrialization and modernization of fresh agricultural product logistics; (2) Development of a systematic agricultural product cold chain logistics system to support the agricultural product industry; (3)Strengthening the construction of cold chain supply chains for urban and rural agricultural products; (4)Expediting the introduction of energy-efficient and environmentally sustainable long- and short-distance cold chain transport vehicles; (5)The application of information technology is To be encouraged with a view to enhancing the efficiency and transparency of cold chain logistics.

Research on Supplier Selection of Fresh Food Supermarkets under New Retail Mode

Under the new retail mode, the market competition in the fresh produce industry is fierce. Optimizing the procurement of fresh agricultural products and selecting high-quality suppliers are conducive to reducing costs and enhancing market competitiveness of fresh supermarkets under the new retail mode. This paper constructs a supplier selection index system for fresh produce supermarkets, uses hierarchical analysis and entropy weight method to determine the comprehensive weight of the indexes, and establishes the TOPSIS supplier selection model with gray correlation improvement. And the model is applied to A fresh food supermarket under the new retail mode, and the best supplier is selected for this supermarket from four strawberry suppliers.

The influence of online information on consumers’ channel migration behavior of fresh agricultural products

IntroductionCompliance with the latest patterns in online consumption of fresh agricultural products should prioritize the shifts in consumer behavior. This study aimed to clarify the influencing factors of consumers’ channel migration behavior of fresh agricultural products. While the migration of consumers’ consumption of fresh agricultural products to online channels is an undeniable fact, and this trend continues, literature on this topic remains limited.MethodsBased on SOR theory, and from the dual perspectives of information transmission and information reception, this study exploratively introduced the network affinity of consumers, and constructed the concept model of the influencing factors of consumers’ channel migration behavior of fresh agricultural products including information acquisition and risk perception. 416 valid questionnaires were used to conduct structural equation model analysis.ResultsThe results confirm that product information and platform information significantly affect consumers’ channel migration behavior of fresh agricultural products. Product information including feature information and price information has a positive influence on consumers’ channel migration behavior of fresh agricultural products. The same is true for such behavior and the platform information including service information and logistics information. Risk perception plays a partial mediating role in the influence of product information variables and platform information variables on consumers’ online purchasing and migration behavior of fresh agricultural products. Network affinity negatively moderates the causal relationship between product information and risk perception as well as that between platform information and risk perception. The effect is more pronounced for consumers with high network affinity than those with low network affinity.DiscussionThe study presented in this paper offers a replicable theoretical framework for future discussions on consumer channel migration behavior, and enriches the literature on consumer online consumption behavior. It is highly meaningful for further improving the online consumption stickiness, tapping the potential of online consumption and improving the circulation efficiency of fresh agricultural products in the post-pandemic era.

A Review of Research on The Reliability Assessment of Fresh Product Distribution Networks Considering Product Perishability Constraint

A reliable and stable distribution network is fundamental for the effective operation of fresh agricultural product logistics, and network reliability is a crucial metric for determining whether fresh agricultural product logistics can complete specified tasks promptly and smoothly. To further clarify the current research status on the reliability of fresh agricultural product distribution networks considering transportation losses, this study reviews the literature from three aspects: research on transportation losses of fresh agricultural products, reliability of stochastic distribution networks, and methods for assessing the reliability of stochastic distribution networks considering transportation losses. The studies indicate that few documents introduce both quantity deterioration and quality deterioration simultaneously into network reliability research, which tends to overlook the market demand under reduced freshness, and seldom considers the dynamic changes of deterioration factors in complex environments.

Vulnerability of fresh agricultural products supply chain: Assessment, interrelationship analysis and control strategies

Most research in fresh agricultural products supply chain (FAPSC) vulnerability identification and evaluation is based on independent perspectives. Few studies have studied the interrelationships, transmission mechanisms, and control strategies from a network approach. Given this, this paper first identifies 7 vulnerability categories and 36 vulnerability factors based on empirical data collected from practitioners of FAPSC using grounded theory (GT). The interrelationships among the identified vulnerability factors are established immediately afterward based on complex network theory. Finally, key vulnerability factors and vulnerability impact transmission paths are identified based on the results by calculating the basic network characteristic indicators. The results show that market supply-demand imbalance and human resources issues are the key vulnerability factors. The five factors of market supply-demand imbalance, environmental pollution, socio-economic downturn, human resources issues, and arable land area as the intermediate transmission factors of the vulnerability network play a key role in vulnerability transmission. Based on this, strategies such as information sharing and measuring the environmental performance of fresh agricultural product suppliers are proposed. This study can help stakeholders control the vulnerabilities and ensure the stable operation of the FAPSC.

Fresh Agricultural Products Cold Chain Logistics Development Status and Countermeasures Research

With the improvement of the living standard of consumers in China, people are more and more concerned about the demand and quality of fresh agricultural products, and the market scale of cold chain logistics of fresh agricultural products is growing explosively. However, China's cold chain logistics still exists such as insufficient cold chain logistics infrastructure, low level of information technology, high cost, low degree of standardization of fresh agricultural products production and other problems, resulting in China's fresh agricultural products cold chain logistics is facing serious challenges. This paper analyzes the development status quo of cold chain logistics and puts forward some solutions to provide some references for subsequent research.

Fresh agricultural products cold chain logistics distribution and path optimization

Based on the reference to the existing research results, combined with the enterprise's current distribution path, to minimize the cost as the research objective, to establish the relevant model, and put forward the control of logistics costs, increase the infrastructure investment in cold chain logistics, the optimization of the path of countermeasure proposals, to further improve the efficiency of the enterprise distribution and increase customer satisfaction at the same time reduces the cost of distribution, increase the core competitiveness of the industry.

Optimization of fresh produce delivery path based on C-W saving algorithm

Because fresh agricultural products have the characteristics of difficulty in preserving freshness, short shelf life, and are perishable and fragile, so they have extremely high requirements for warehousing, distribution, and other multiple links, and their distribution costs have caused some economic pressure on Z. To reduce the distribution costs of Z's distribution centers and to maximize the satisfaction of customers' needs, it is very important to carry out reasonable planning of the distribution paths. How to scientifically and reasonably formulate the vehicle distribution plan and arrange the distribution path program, shorten the time of fresh agricultural products in transit and reduce the company's logistics and distribution costs, maximize customer satisfaction, and accurately and timely provide customers with high-quality fresh agricultural products and high-quality distribution services are of great significance. In this paper, by summarizing the existing literature on the optimization of the distribution path of fresh agricultural products cold chain logistics, the C.W saving algorithm is used to optimize the path of the distribution center of Z company.

Fabrication of polyvinyl alcohol/vanillin/Ti3C2Tx/ZnONPs composite film with excellent antimicrobial properties for pepper preservation

Novel food packaging materials with antimicrobial properties must be developed to ensure that fresh agricultural products are free from microbial contamination during the process from “farm” to “table”. Herein, we synthesized an antimicrobial composite packaging film by employing a green in situ synthesis method. The method involves the in situ reduction of zinc oxide nanoparticles (ZnONPs) on the substrate Ti3C2Tx by Lactobacillus plantarum fermentation broth, which was then blended with polyvinyl alcohol and vanillin to obtain the polyvinyl alcohol/vanillin/Ti3C2Tx/ZnONPs (PVA/VAN/T-Z) composite film. The incorporation of crosslinker VAN and antimicrobial material Ti3C2Tx/ZnONPs did not affect the transparency and color of the film, but improved its mechanical strength, hydrophobicity, and antimicrobial ability of the film. Antimicrobial experiments demonstrated that the PVA/VAN/T-Z composite film exhibited significant antimicrobial activity against bacteria (Gram-negative E. coli and Gram-positive S. aureus) and fungi isolated from peppers. Furthermore, pepper preservation experiments demonstrated that the PVA/VAN/T-Z composite film exhibited commendable antimicrobial and preservation performance compared to commercially available film. As a novel antimicrobial packaging material, the multifunctional PVA/VAN/T-Z composite film has a broad application prospect in food preservation.

Economic optimization of fresh logistics pick-up routing problems with time windows based on gray prediction

The rapid development of modern cold chain logistics technology has greatly expanded the sales market of agricultural products in rural areas. However, due to the uncertainty of agricultural product harvesting, relying on the experience values provided by farmers for vehicle scheduling can easily lead to low utilization of vehicle capacity during the pickup process and generate more transportation cost. Therefore, this article adopts a non-linear improved grey prediction method based on data transformation to estimate the pickup demand of fresh agricultural products, and then establishes a mathematical model that considers the fixed vehicle usage cost, the damage cost caused by non-linear fresh fruit and vegetable transportation damage and decay rate, the cooling cost generated by refrigerated transportation, and the time window penalty cost. In order to solve the model, a hybrid simulated annealing algorithm integrating genetic operators was designed to solve this problem. This hybrid algorithm combines local search strategies such as the selection operator without repeated strings and the crossover operator that preserves the best substring to improve the algorithm’s solving performance. Numerical experiments were conducted through a set of benchmark examples, and the results showed that the proposed algorithm can adapt to problem instances of different scales. In 50 customer examples, the difference between the algorithm and the standard value in this paper is 2.30%, which is 7.29% higher than C&S. Finally, the effectiveness of the grey prediction freight path optimization model was verified through a practical case simulation analysis, achieving a logistics cost savings of 9.73%.

Exploring Symbiosis: Innovatively Unveiling the Interplay between the Cold Chain Logistics of Fresh Agricultural Products and the Ecological Environment

Cold chain logistics are crucial for reducing agricultural product loss, yet the environmental impact of energy and packaging consumption, among others, demands attention, making the search for eco-friendly development modes essential. Based on data from 30 provinces in China from 2015 to 2021, this study analyzes the basic correlation between the development of cold chain logistics of fresh agricultural products (CCLFAP) and the ecological environment (EE) by using a random forest regression model in comparison with the XGBoost model. Correlation heatmaps were used to analyze the relationships between the cold chain logistics of fresh agricultural products and various factors of the ecological environment. The generalized additive model was then used to establish the connection between cold chain logistics and the ecological environment, identifying significant factors impacting EE. The results demonstrate that a higher development level of cold chain logistics corresponds to a better development trend of EE. The economic efficiency and technical aspects of cold chain logistics for fresh agricultural products are closely related to ecological pressures and responses. The number of employees in the logistics industry, the trading volume of fresh agricultural products, the number of refrigerated vehicles, and the capacity of the cold room have significant positive correlations with the ecological environment, while the per capita consumption of fresh agricultural products, the number of cold chain logistics patent applications, and the road density had significant negative correlations with the ecological environment. The effects of the number of cold chain logistics enterprises and the freight turnover of agricultural products transported by the cold chain on the ecological environment fluctuated. These findings contribute to reducing climate and environmental emergencies throughout the life cycle, offering sustainable development solutions for the fresh agricultural product cold chain logistics industry.

Optimal government subsidy strategy for fresh agricultural products supply chain under adverse weather: a two-stage dynamic game model

ABSTRACT To investigate the effects of various government subsidies on the decision of agricultural products supply chain under adverse weather, this paper depicts the random profit function of adverse weather affecting the output of fresh agricultural products. Then, both the centralised and decentralised decision-making models are set with various government subsidies, i.e. no subsidy, output subsidy, procurement subsidy, one-time subsidy to company and one-time subsidy to farmer. Through comparative analysis and numerical analysis, we explore the effects of adverse weather and different government subsidies on the supply chain decisions including planting effort, procurement price and retail price.

Cold Chain Logistics Demand Forecasting for Fresh Agricultural Foods in Fujian Province, China

China's current cold chain infrastructure for fresh agricultural products faces numerous challenges, particularly within the context of Fujian Province. The cold chain logistics sector in the region is characterized by limited development and requires immediate improvements in its foundational supporting infrastructure. The establishment of a comprehensive cold chain logistics system tailored for fresh agricultural goods remains incomplete, resulting in inefficiencies within the supply network. An in-depth examination of the necessity for refrigerated transportation networks for fresh agricultural products through scientific inquiry reveals the potential for strategic investments in the industry. To address this gap, a study employing the GM (1,1) model is conducted to forecast the future demand for cold chain logistics in fresh agricultural items specifically within Fujian Province, China, over the next five years. The findings of the study indicate that by 2027, the demand for cold chain logistics services for fresh produce in Fujian Province is projected to reach 4765.6 million tons. These insights furnish valuable information for optimizing investment planning in cold chain logistics infrastructure and formulating pertinent legislative measures to stimulate industry growth. In summary, the integration of these findings into the context of Fujian Province underscores the significance of enhancing cold chain logistics capabilities to address existing challenges and capitalize on future opportunities within the region's fresh agricultural sector.

生鲜农产品冷链集货车辆路径与货物配载联合优化研究

As a bridge connecting agricultural production and consumption, the circulation of agricultural products has the function of connecting supply and demand, guiding production and promoting consumption. However, the development of rural logistics in China is slow, and most logistics centers still rely on experience to plan the pick-up vehicle routings, resulting in long transport time and high cost. In order to improve the efficiency of pick-up and reduce transportation costs, a joint optimization model of cold-chain pick-up vehicle routing and cargo allocation for fresh agricultural products was proposed in this study. Soft time window constraint and three-dimensional loading constraints were considered, and the lowest pick-up cost was used as optimization goals in this model. In addition, adaptive large neighborhood search algorithm (ALNS) and heuristic depth-first search algorithm (HDFS) were combined to solve the model. A case study of Kunming International Flower Auction Center was conducted to compare the schemes of pick-up vehicle routing before and after optimization. Results demonstrate that the pick-up cost after optimization decreases by 9.6 %, the number of vehicles decreases by one, the total volume utilization rate of vehicles increases by 23 %, and the total load utilization rate of vehicles increases by 15 %. This study provides a model reference and solution method for enterprise operators to formulate schemes of pick-up vehicle routing quickly and reasonably.

Consumers’ behavior to purchase fresh agriculture products in the e-commerce platform in Indonesia

Consumers’ behavior to purchase fresh agriculture products in the e-commerce platform in Indonesia

Analysis of Fruit Consumer Satisfaction in an Online Purchasing System Using an E-commerce Platform: A Naive Bayes Approach

E-commerce platforms have now developed into fresh agricultural products, one of which is fruit. Purchasing online means customers cannot choose their own products like in offline stores. Therefore, the aim of this research is to identify the attributes that consumers often talk about and analyze consumer satisfaction with fruit on e-commerce platforms. Data analysis in this research was carried out using descriptive statistical methods and the Naïve Bayes approach. Data was taken from the Tokopedia platform with a total of 316 reviews using random sampling. The research results show that the attributes most frequently reviewed by consumers are service attributes (49%) and product attributes (44%), while the price attribute is reviewed the least (7%). Attributes related to product, price and service were assessed as having negative performance overall because nine of the twelve attributes analyzed indicated consumer dissatisfaction. Seller reviews are very important for business continuity so that sellers can improve their services and pay more attention to product quality so that the reviews appear positive. Research using the naive Bayes approach to determine customer satisfaction sentiment towards fruit products has not been widely carried out so the results of this research can complement previous studies.

Decisions of dual-channel fresh agricultural product supply chains based on information sharing

PurposeThis paper studies the optimal decision-making and coordination problem of a dual-channel fresh agricultural product (FAP) supply chain. The purpose is to analyze the impact of information sharing on optimal decisions and propose a coordination mechanism to encourage supply chain members to share information.Design/methodology/approachThe two-echelon dual-channel FAP supply chain includes a manufacturer and a retailer. By using the Stackelberg game theory and the backward induction method, the optimal decisions are obtained under information symmetry and asymmetry and the coordination contract is designed.FindingsThe results show that supply chain members should comprehensively evaluate the specific situation of product attributes, coefficient of freshness-keeping cost and network operating costs to make decisions. Asymmetric information can exacerbate the deviation of optimal decisions among supply chain members and information sharing is always beneficial to manufacturers but not to retailers. The improved revenue-sharing and cost-sharing contract is an effective coordination mechanism.Practical implicationsThe conclusions can provide theoretical guidance for supply chain managers to deal with information asymmetry and improve the competitiveness of the supply chain.Originality/valueThis paper combines the three characteristics that are most closely related to the reality of supply chains, including horizontal and vertical competition of different channels, the perishable characteristics of FAPs and the uncertainty generated by asymmetric demand information.

A Study of the Distribution of <i>Listeria</i> spp. in Fresh Agricultural Products Distributed in the Busan Area, the Republic of Korea

A Study of the Distribution of <i>Listeria</i> spp. in Fresh Agricultural Products Distributed in the Busan Area, the Republic of Korea