Behavioral decision-making of government, agricultural product producers, and consumers on agricultural product quality and safety regulation in a digital environment.

The quality and safety of agricultural products are related to people's lives and health, economic development, and social stability, and have always been a hot issue of concern to the government and society. The rapid development of digital traceability technology in the digital environment has brought new opportunities for the supervision of agricultural product quality and safety, but the frequent occurrence of agricultural product safety incidents in recent years has exposed many problems such as the lack of governmental supervision, unstandardized production process of enterprises, and weak consumer awareness. To improve the cooperation efficiency of stakeholders and ensure the quality and safety of agricultural products, this paper proposes a dynamic model based on evolutionary game theory. The model incorporates the government, agricultural product producers, and farmers, and evaluates the stability and effectiveness of the system under different circumstances. The results of the study show that there are multiple evolutionary stabilization strategies in the tripartite evolutionary game model of agricultural product quality and safety supervision, and there are corresponding evolutionary stabilization conditions. There are several factors affecting the stability of the system, the most important of which are government regulation, severe penalties for agricultural product producers, and incentives. When these factors reach a certain threshold, the stakeholder cooperation mechanism can establish an evolutionarily stable strategy. This study contributes to the understanding of the operational mechanism of stakeholder cooperation in agricultural product quality and safety regulation in the digital environment and provides decision support and policy recommendations for stakeholders to promote the sustainable development and optimization of agricultural product quality and safety regulation.

Construction of Chinese Herbal Medicine Traceability System Based on Influencing Factors of Chinese Herbal Medicine Quality / 中国实验方剂学杂志

As a Chinese saying goes， "good Chinese medicinal material makes good medicine"， the quality of Chinese herbal medicines is related to the development prospect of Chinese medicine industry in China. With the rapid development of new technologies such as traceability methods and monitoring instruments， it is imperative to integrate and innovate traditional Chinese herbal medicines with new-generation information technology in view of the quality problems existing in the current production and circulation of Chinese herbal medicines， and it is of great significance for the construction of traceability system to ensure the quality and safety of Chinese herbal medicines and to promote the industry of Chinese herbal medicines to move towards high-quality development. This paper reviews the development history of the traceability system of Chinese herbal medicines in China， takes the influencing factors of the quality of Chinese herbal medicines as the entry point， and proposes that the construction of the traceability system should satisfy the traceability requirements of the characteristics of Chinese herbal medicines and their traditional medication experience. By analyzing the influencing factors of the quality of Chinese herbal medicines， it is pointed out that focusing on the influencing factors to build a traceability system is of great significance for targeting the problematic links at a later stage and exploring the interrelationship between environmental factors and the quality of Chinese herbal medicines. Based on the previous explorations， the author summarizes the system framework， functional modules and practical applications of the traceability system of Chinese herbal medicines， and looks forward to the development of a traceability system with risk early warning function and expert decision-making function in its functional development. Finally， based on the factors affecting the quality of Chinese herbal medicines， the author puts forward several thoughts on construction of the traceability system， and makes an in-depth analysis and puts forward a solution for the current situation that a unified， standardized and universal traceability system has not yet been built， with a view to providing ideas and references for the construction of traceability system of Chinese herbal medicines.

Dual-Layer Index for Efficient Traceability Query of Food Supply Chain Based on Blockchain.

Blockchain techniques have been introduced to achieve decentralized and transparent traceability systems, which are critical components of food supply chains. Academia and industry have tried to enhance the efficiency of blockchain-based food supply chain traceability queries. However, the cost of traceability queries remains high. In this paper, we propose a dual-layer index structure for optimizing traceability queries in blockchain, which consists of an external and an internal index. The dual-layer index structure accelerates the external block jump and internal transaction search while preserving the original characteristics of the blockchain. We establish an experimental environment by modeling the blockchain storage module for extensive simulation experiments. The results show that although the dual-layer index structure introduces a little extra storage and construction time, it significantly improves the efficiency of traceability queries. Specifically, the dual-layer index improves the traceability query rate by seven to eight times compared with that of the original blockchain.

Design of Meat Product Safety Information Chain Traceability System Based on UHF RFID.

As a result of the current imperfection of the meat traceability system, there have been numerous food safety events with serious consequences. In this paper, a meat product information traceability system is designed to efficiently prevent such problems. This system develops an identification tag information reader based on ultra-high frequency (UHF) Radio Frequency Identification (RFID). It is compatible with LoRa wireless, USB serial port, RS485, and RJ45 Ethernet connection. Among them, the efficiency analysis of the Q-value algorithm finds that the recognition rate of the system reaches a maximum of about 0.367 when the number of tags n is about the frame length. The multi-tag anti-collision algorithm design based on the algorithm improves the efficiency of information collection in production and distribution links. The traceability code identification scheme is designed to effectively match various links, and the platform of system is built using LabVIEW2014 software, which has five sub-modules including user management, farm management, slaughter management, logistics management, and sales management. The system uses MySQL databases to store traceability information so that users can complete their queries by entering the traceability code on the system platform. The system not only has a low cost and a broad range of applications, but it also realizes the tracking record of meat product traceability information from breeding to selling, completes the function from information collection to information inquiry, and solves the problem of the incomplete traceability information chain. In addition, the system not only enhances the informational transparency of meat products in the product supply chain but also provides information for the regulatory authorities to effectively monitor safety.

Determinants of the willingness to buy products certified by omics technology: differences between regular and occasional consumers of organic food.

Consumers' demand for organic food has increased in the last years, together with a growing request for food authentication and safety. Omics technologies represent a viable analytical strategy to respond to such needs, strengthen food safety information transmission between consumers and industry, and differentiate between organic and conventional products. However, little is known about consumers' perception of such a novel certification approach. The present research ought to provide insights into the perspectives of consumers, exploring the antecedents of their intention to purchase organic vegetables certified through omics technologies and differentiating between regular and occasional consumers of organic foods. Data were collected from a representative sample of 807 Italian respondents who completed a self-report questionnaire, and Structural Equation Modeling was performed to analyze the data. Results show that several factors influence consumers' approach to omics technology, among which trust in actors in the food industry, attitudes towards the technology and environmental food concerns. In addition, the study drew attention to the differential path impacting consumers with distinct eating habits. Indeed, the degree of importance attributed to food in one's life and the interest towards innovative food are significant predictors of the intention to adopt omics technology only for people consuming organic products with higher frequency. Also, trust in industry actors follows a different path for regular and occasional organic food consumers. The present study sheds light on consumers' perspective on omics technologies, a relatively unexplored topic. Moreover, it allowed to differentiate consumers based on their organic consumption habits, which has been rarely done in previous research. The evidence collected suggests the need for tailored communication programs to stimulate the adoption of omics technologies and foster consumers' confidence in novel food technologies.

Does a Traceability System Help to Regulate Pig Farm Households' Veterinary Drug Use Behavior? Evidence from Pig Farms in China.

In China, there is a renewed interest in traceability systems as an efficient tool to guarantee pork safety. One of the pathways through which a traceability system can benefit consumers is by easing information asymmetry. However, past literature on the traceability system in China pays more attention to theoretical analysis and less to empirical analysis. Using a large-scale survey of pig farms in China, we investigate the effects influencing farmers' participation in the traceability system. Findings show that a traceability system can influence the safety of pork indirectly through its impacts on farmers' production behaviors. Another important finding is that unsafe pork is a result of non-standard use of veterinary drugs, and the traceability system works well for farmers by pushing them to take stricter safety measurements.

Microbial spore genetic marker technology, a potential technology for traditional Chinese medicine traceability system.

Traditional Chinese medicine (TCM) has a long history, rich clinical experience, and unique advantages in the prevention and treatment of diseases. The quality and safety of Chinese medicinal materials (CMMs) directly affect the clinical efficacy and development of the TCM industry. However, confused provenance, counterfeiting and adulteration of CMMs hinder the acceptance of its therapeutic benefits in modern society. Therefore, the establishment and improvement of a TCM traceability system would be conducive to the transparency of the CMMs production, distribution, and circulation, thereby improving drug safety and promoting industry development. This review discusses the challenges faced in the development of TCM traceability system, the technologies currently available for tracing CMMs, and the potential application of Barcoded Microbial Spores (BMS) to improve CMMs origin traceability and TCM traceability systems.

Construction of a Traceability System for Food Industry Chain Safety Information Based on Internet of Things Technology.

The continuous development of the social economy, has stimulataed an increase in the satndard of living and increased the deman for consumption resulting in the demand for high-quality and safe food has continued to increase. The so-called food safety means that the food that people eat under certain conditions will not harm human health. Frequent food safety incidents have highlighted the seriousness of my country's food safety problems and exposed loopholes in my country's food safety supervision. This article aims to study the construction of the Internet of Things technology in the food industry chain safety information traceability system, research on the RFID technology, GPS technology, and sensor technology in the Internet of things technology, and also conduct some research on the modules of the food industry chain safety information traceability system. This paper proposes to integrate the Internet of Things technology into the construction of the food industry chain safety information traceability system. First, a detailed analysis of some of the technologies that may be used is carried out, and then through the investigation of people on food safety and other aspects, and the food traceability system satisfaction survey. The experimental results in this article show that 40% of women pay more attention to food safety. Of course, in the satisfaction survey of the food safety traceability system based on the Internet of Things technology, it has been recognized by more than 20% of the people.

Quality Control System of Red Jujube by Hybrid Model: Development of an Efficient Framework.

Food traceability is very important for the quality and safety of agricultural products, which is related to the people's livelihood and national economy and has drawn great attention from governments and scientists around the world. The existing studies have not yet overcome the crisis characteristics comprehensively and systematically. A traceability system of red jujube is constructed by a hybrid mode of blockchain and the Internet of Things (IoTs). The system integrates the blockchain and the IoT technologies with characteristics of tamper-proof, decentralization, and distributed storage and solves the problem of date quality traceability by designing the technical process and architecture of date quality traceability and the big data of red jujube, jujube plantation, processing enterprise, commercial enterprises, and market administration. The whole process from planting to processing and sales of red jujube are recorded in the block to ensure the realization of quality traceability of red dates in the process. Through the whole process of big data processing, the key information collected in each process is stored in the database to ensure the realization of quality traceability of red dates in the framework. The system can help to minimize the production and distribution of unsafe or poor-quality products, thereby minimizing the potential for bad publicity, liability, and recalls.

Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models.

Scientists believed the outbreak of COVID-19 could be linked to the consumption of wild animals, so food safety and hygiene have become the top concerns of the public. An agri-food traceability system becomes very important in this context because it can help the government to trace back the entire production and delivery process in case of food safety concerns. The traceability system is a complicated digitalized system because it integrates information and logistics systems. Previous studies used the technology acceptance model (TAM), information systems (IS) success model, expectation confirmation model (ECM), or extended model to explain the continuance intention of traceability system users. Very little literature can be found integrating two different models to explain user intention, not to mention comparing three models in one research context. This study proposed the technology acceptance model (TAM), technology acceptance model-information systems (TAM-IS) success, and technology acceptance model-expectation confirmation model (TAM-ECM) integrated models to evaluate the most appropriate model to explain agri-food traceability system during the COVID-19 pandemic. A questionnaire was designed based on a literature review, and 197 agri-food traceability system users were sampled. The collected data were analyzed by partial least square (PLS) to understand the explanatory power and the differences between the three models. The results showed that: (1) the TAM model has a fair explanatory power of continuance intention (62.2%), but was recommended for its' simplicity; (2) the TAM-IS success integrated model had the best predictive power of 78.3%; and (3) the system providers should raise users' confirmation level, so their continuance intention could be reinforced through mediators, perceived value, and satisfaction. The above findings help to understand agri-food traceability system user intention, and provide theoretical and practical implications for system providers to refine their system design.

Food Traceability Systems, Consumers' Risk Perception, and Purchase Intention: Evidence from the "4-label-1-Q" Approach in Taiwan.

ABSTRACT: Many food safety issues have arisen in Taiwan during the past decade. Therefore, in 2016, the Taiwan government proposed the "five rings of food safety" policy to comprehensively protect consumer food supply. Among these policies, the "4-labels-1-Q" approach was adopted to ensure the selection of foods with traceable labels for retrospective study. Hence, this study investigated the association between the degree of familiarity with the 4-labels-1-Q food traceability system and risk perceptions and also investigated whether a consumer's purchase intention toward fresh foods with food labels changed after viewing an educational film on food labels. This study defined subjects as the main food purchasers for their families; 290 valid questionnaire interviews were administered and educational films shown in Tainan markets and stores. Results showed that knowledge about labels significantly affected risk perception for labeling. Age, educational level, and degree of risk perception influenced purchase intention. Results also showed that after viewing the video, subjects' label knowledge and purchase intention increased significantly. However, after adjustment for age, educational level, income, and purchase places, the effect of film education on risk perception was insignificant, especially for those who had lower educational levels, including those older than 65 years. Public trust can be boosted through label education among age groups using different channels and methods, and encouraging the sale of labeled foods in traditional markets would be a useful strategy. Age, educational level, income, and risk perception of participants significantly affected purchase intention. This study can be a reference for designing risk communication strategies and promoting traceable agricultural products.

Can imported cold food cause COVID-19 recurrent outbreaks? A review.

The coronavirus disease 2019 (COVID-19) pandemic is still spreading all over the world. Although China quickly brought the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) under control in 2020, sporadic outbreaks have recurred from time to time. Outbreaks since June 2020 have suggested that the imported cold food supply chain is a major cause for the recurrence and spread of COVID-19. Here we review recurrent outbreaks in China from June 2020 to March 2021, and we analyse the main causes for recurrence and transmission by the supply of imported cold food from port to fork. Contaminated cold food or food packaging material can transmit the virus through 'person-to-thing-to-person', by contrast with the classical 'person-to-person' pathway. We decribe safety precautions for the food system, operating environment and people along the cold chain logistics. Surface disinfection and nucleic acid inspection are needed in each stage of the logistics of imported cold food supply.

Region-wise analysis of dairy cow movements in Japan.

BACKGROUND: Animal movement is considered the most significant factor in the transmission of infectious diseases in livestock. A better understanding of its effects would help provide a more reliable estimation of the disease spread and help develop effective control measures. If the movement pattern is heterogeneous, its characteristics should be considered in epidemiological analyses, such as when using simulation models to obtain reliable outputs. In Japan, following the bovine spongiform encephalopathy epidemic, a traceability system for cattle was established in 2003, and the registration of all cattle movements in the national database began. This study is the first to analyze cattle movements in Japan. We examined regional and seasonal heterogeneity in dairy cow movements, which accounted for most Japanese breeding cattle. RESULTS: In the 14 years from April 2005 to March 2018, 4,577,709 between-farm movements of dairy cows were recorded, and the number of movements was counted by month and age for both inter- and intra-regional movements. As a result, two characteristic round-trip movements were observed: one was non-seasonal and inter-regional movements related to cattle-breeding ranches in Hokkaido (the northern region of Japan), which consists of the movement of cows around ages 6 to 8 and 21 to 23 months old. In addition, the seasonal movement of heifers for summer grazing within Hokkaido occurred in May and October at the peak ages of 13 to 14 and 19 to 20 months old, respectively. The observed heterogeneity seemed to reflect the suitability of raising the Holstein breed in Hokkaido and the shortage of supply of replacement heifers and available farming areas outside Hokkaido. CONCLUSIONS: Understanding the patterns of dairy cow movements will help develop reliable infectious disease models and be beneficial for developing effective control measures against these diseases.

A Traditional Chinese Medicine Traceability System Based on Lightweight Blockchain.

BACKGROUND: Recently, the problem of traditional Chinese medicine (TCM) safety has attracted attention worldwide. To prevent the spread of counterfeit drugs, it is necessary to establish a drug traceability system. A traditional drug traceability system can record the whole circulation process of drugs, from planting, production, processing, and warehousing to use by hospitals and patients. Once counterfeit drugs are found, they can be traced back to the source. However, traditional drug traceability systems have some drawbacks, such as failure to prevent tampering and facilitation of sensitive disclosure. Blockchain (including Bitcoin and Ethernet Square) is an effective technology to address the problems of traditional drug traceability systems. However, some risks impact the reliability of blockchain, such as information explosion, sensitive information leakage, and poor scalability. OBJECTIVE: To avoid the risks associated with the application of blockchain, we propose a lightweight block chain framework. METHODS: In this framework, both horizontal and vertical segmentations are performed when designing the blocks, and effective strategies are provided for both segmentations. For horizontal segmentation operations, the header and body of the blockchain are separated and stored in the blockchain, and the body is stored in the InterPlanetary File System. For vertical segmentation operations, the blockchain is cut off according to time or size. For the addition of new blocks, miners only need to copy the latest part of the blockchain and append the tail and vertical segmentation of the block through the consensus mechanism. RESULTS: Our framework could greatly reduce the size of the blockchain and improve the verification efficiency. CONCLUSIONS: Experimental results have shown that the efficiency improves compared with ethernet when a new block is added to the blockchain and a search is conducted.

Knowledge, Utility, and Preferences for Beef Label Traceability Information: A Cross-Cultural Market Analysis Comparing Spain and Brazil.

The consumer environment determines consumers' buying behavior and product preferences, and understanding these factors allows businesses in the industry to identify market demands. In view of the different contexts, Spain and Brazil, there are differences in the consumption of beef, in the production and the regulatory process concerning beef, and in particular the traceability system. The traceability system is mandatory in Spain and voluntary in Brazil. From these prerogatives, this cross-cultural study carried out through a self-administered questionnaire with 2132 Spanish and Brazilian beef buyers/consumers, aimed at comparing and understanding the familiarity with the bovine traceability system and traceability information of the label as a food security indicator. It is concluded that traceability information is well received by consumers as an attribute of credibility, and consumers are interested in ensuring that the item they buy is of known and reliable origin. But more incentives may help clarify the advantages of purchasing food with certified traceability, making it more effective for consumers to use this knowledge.

Consumers' Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products.

Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers' intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions' influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS' usage intention.

The Effect of Traceability System and Managerial Initiative on Indonesian Food Cold Chain Performance: A Covid-19 Pandemic Perspective.

This study aims to determine the effect of managerial initiatives on the adoption of traceability systems on food cold chain performance during the Covid-19 pandemic. Managerial initiatives are allegedly needed to improve the company's performance because it improves the traceability system in the supply chain. In addition, the effect of the traceability system adoption on the Indonesian food cold-chain performance during the Covid-19 pandemic is also discussed in this study. This study uses a quantitative approach and purposive sampling with a questionnaire research instrument obtained 250 statements of Indonesian consumers and retail employees. Partial least squares for structural equation modeling (PLS-SEM) were used to analyze latent variables' relationships. This study indicates that the traceability system has a significant effect on the performance of the food cold-chain during the Covid-19 pandemic. In addition, the adoption of electronic data exchange (EDI), radio frequency identification (RFID), and blockchain significantly impacted traceability systems during the Covid-19 pandemic. The managerial application of the initiative showed a positive and significant impact on the performance of the food cold-chain during the Covid-19 pandemic. However, the managerial initiative is not able to moderate the adoption of the traceability system.

Considerations from FDA Food Traceability to Chinese Medicinal Materials Traceability / 中国实验方剂学杂志

As a Chinese saying goes， "good Chinese medicinal material makes good medicine"， the traceability of Chinese medicinal materials is closely related to the high-quality development of Chinese medicine industry. This article intends to analyze the "new era of smarter food safety blueprint" and Proposed Rule for Food Traceability related to food traceability of the U.S. Food and Drug Administration （FDA）， including food traceability list， critical tracking events， and examples of exemptions. By studying the process and consideration of the construction of the FDA food traceability system， as well as the specific traceability requirements of fresh herbs， vegetables and fruits in the FDA food traceability system that are related to Chinese medicinal materials， on the one hand， it provides research materials for the communication and discussion of Chinese medicinal materials traceability， on the other hand， it also provides reference for the construction of food traceability system in China. To sort out the idea of constructing a traceability system for Chinese medicinal materials suitable for the current development status of traditional Chinese medicine， the contents to be considered are as follows：①To determine the traceability list of Chinese medicinal materials based on the risk control of Chinese medicinal materials. ②Determine the critical tracking links and information in the Chinese medicinal materials industry chain， and standardize the traceability information of Chinese medicinal materials. ③The quality information of Chinese medicinal materials should be reflected in the traceability of Chinese medicinal materials. ④Within the scope of the traceability list of Chinese medicinal materials， enterprises should be encouraged to make voluntary traceability by selecting Chinese medicinal materials with a good foundation of traceability work.

Evaluation of seafood traceability system in Korea: demand-oriented analysis.

The Korean government tried to secure food safety by revitalization of seafood traceability system since there has been growing dissatisfaction toward of food system related to seafood in Korea. This study examines the consumers' perspective on seafood traceability system and the value of seafood traceability in Korea using contingent valuation method. The model includes preference and recognition of respondents for the seafood traceability system, and socio-demographic characteristics. The result of the model shows that respondents think positively about seafood traceability system and it is expected that approximately $44.94 million can be generated annually from the seafood traceability system. The result implies that it is necessary to promote the system in order to make this system known, the benefit of which is helpful in food safety.

[Application of traditional Chinese medicine(TCM) traceability system based on TCM quality characteristics and HACCP system].

It is crucial to establish a complete set of traditional Chinese medicine(TCM) quality traceability management process system, in order to stabilize the pricing order of TCM market and reconstruct the transmission path of TCM quality signals. In this study, we reviewed the mature experience of food and drug supervision at home and abroad, analyzed the quality characteristics of TCM, and put forward that the quality control of TCM products can learn from the hazard analysis and critical control point(HACCP) system in food safety quality control. This study points out that the HACCP system provides not only technical guidance for the traceability management of TCM, but also ideas for improving the quality of TCM products and the safety risk control of TCM. The application of the HACCP system in TCM quality control can help establish an international dialogue platform for TCM and help realize the modernization and internationalization of TCM industry.