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Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China
The cross-regional transfer of food safety risks has become more prominent, bringing new challenges to food safety regulation. This study used a social network analysis to delve into the nuanced features and determinants of the cross-regional transfer of food safety risks based on the food safety in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138065/ https://www.ncbi.nlm.nih.gov/pubmed/37107391 http://dx.doi.org/10.3390/foods12081596 |
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author | Li, Kai Yin, Shijiu Chen, Yuanyan |
author_facet | Li, Kai Yin, Shijiu Chen, Yuanyan |
author_sort | Li, Kai |
collection | PubMed |
description | The cross-regional transfer of food safety risks has become more prominent, bringing new challenges to food safety regulation. This study used a social network analysis to delve into the nuanced features and determinants of the cross-regional transfer of food safety risks based on the food safety inspection data of five provinces in East China from 2016 to 2020, thus contributing to the establishment of effective cross-regional cooperation in food safety regulation. The main findings are as follows: First, the cross-regional transfer of unqualified products accounts for 36.09% of all unqualified products. Second, the food safety risk transfer network presents a typical complex network—a relatively low but increasing network density, heterogeneous nodes, numerous subgroups, and a dynamic structure—bringing more difficulties to food safety cross-regional cooperation. Third, territorial regulation and intelligent supervision both contribute to restricting cross-regional transfers. However, the advantages of intelligent supervision have not yet been brought into play due to low data utilization. Fourth, the development of the food industry helps to mitigate the cross-regional transfer of food safety risks. To achieve effective cross-regional cooperation in food safety risks, it is essential to use food safety big data as a guide and to maintain synchronization between the development of the food industry and the improvement of regulations. |
format | Online Article Text |
id | pubmed-10138065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101380652023-04-28 Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China Li, Kai Yin, Shijiu Chen, Yuanyan Foods Article The cross-regional transfer of food safety risks has become more prominent, bringing new challenges to food safety regulation. This study used a social network analysis to delve into the nuanced features and determinants of the cross-regional transfer of food safety risks based on the food safety inspection data of five provinces in East China from 2016 to 2020, thus contributing to the establishment of effective cross-regional cooperation in food safety regulation. The main findings are as follows: First, the cross-regional transfer of unqualified products accounts for 36.09% of all unqualified products. Second, the food safety risk transfer network presents a typical complex network—a relatively low but increasing network density, heterogeneous nodes, numerous subgroups, and a dynamic structure—bringing more difficulties to food safety cross-regional cooperation. Third, territorial regulation and intelligent supervision both contribute to restricting cross-regional transfers. However, the advantages of intelligent supervision have not yet been brought into play due to low data utilization. Fourth, the development of the food industry helps to mitigate the cross-regional transfer of food safety risks. To achieve effective cross-regional cooperation in food safety risks, it is essential to use food safety big data as a guide and to maintain synchronization between the development of the food industry and the improvement of regulations. MDPI 2023-04-09 /pmc/articles/PMC10138065/ /pubmed/37107391 http://dx.doi.org/10.3390/foods12081596 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Kai Yin, Shijiu Chen, Yuanyan Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China |
title | Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China |
title_full | Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China |
title_fullStr | Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China |
title_full_unstemmed | Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China |
title_short | Analysis of Cross-Regional Transfer of Food Safety Risks and Its Influencing Factors—An Empirical Study of Five Provinces in East China |
title_sort | analysis of cross-regional transfer of food safety risks and its influencing factors—an empirical study of five provinces in east china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138065/ https://www.ncbi.nlm.nih.gov/pubmed/37107391 http://dx.doi.org/10.3390/foods12081596 |
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