Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data
BackgroundThis study is significant for improving the accuracy of Customs’ cross-border supervision of emergency supplies and ensuring the timely clearance of these essential goods.MethodsTo ensure both the convenience and security of Customs oversight regarding emergency supplies, this study first...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1520705/full |
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| author | Xia Zheng Quan Cao Xin Zhou |
| author_facet | Xia Zheng Quan Cao Xin Zhou |
| author_sort | Xia Zheng |
| collection | DOAJ |
| description | BackgroundThis study is significant for improving the accuracy of Customs’ cross-border supervision of emergency supplies and ensuring the timely clearance of these essential goods.MethodsTo ensure both the convenience and security of Customs oversight regarding emergency supplies, this study first systematically collects and organizes representative data on the import and export trade of these supplies. Proposed an enhanced Recency Frequency Monetary (RFM) cluster analysis model, building on the principles of k-means clustering. Subsequently, the model is employed to cluster the import and export trade data of emergency supplies. Finally, the paper offers optimization suggestions for customs clearance supervision based on the analysis results.ResultsThe study primarily focuses on the collection and organization of import and export trade data across six major categories of representative emergency supplies. By employing K-means clustering techniques, the research develops an improved RFM cluster analysis model, referred to as TR-TF-TV, and subsequently proposes strategies for customs supervision of emergency supplies. By integrating K-means clustering techniques, this study develops an advanced RFM cluster analysis model, referred to as TR-TF-TV. It subsequently proposes customs supervision strategies for emergency supplies. These strategies include a clustering analysis of trade data to ensure safe and efficient customs clearance, the preservation of integrity and stability within the emergency supplies supply chain, the enhancement of the national emergency management system, and the improvement of response capabilities to public health emergencies.ConclusionThis analysis of trade data concerning the import and export of emergency supplies, based on the enhanced RFM clustering model, represents an exploratory initiative in original model design. Recognizing the inherent limitations associated with the model’s index design and data sample selection, we intend to refine these elements in future research, aiming to improve and validate the model to further optimize related countermeasures. |
| format | Article |
| id | doaj-art-cc91c432d21b4d8da2c8a6c1cd3c3c76 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-cc91c432d21b4d8da2c8a6c1cd3c3c762025-01-24T07:13:54ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011310.3389/fpubh.2025.15207051520705Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade dataXia Zheng0Quan Cao1Xin Zhou2Department of Customs and Public Administration, Shanghai Customs College, Shanghai, ChinaDepartment of Science and Technology, General Administration of Customs of the People’s Republic, Beijing, ChinaDepartment of Customs and Public Administration, Shanghai Customs College, Shanghai, ChinaBackgroundThis study is significant for improving the accuracy of Customs’ cross-border supervision of emergency supplies and ensuring the timely clearance of these essential goods.MethodsTo ensure both the convenience and security of Customs oversight regarding emergency supplies, this study first systematically collects and organizes representative data on the import and export trade of these supplies. Proposed an enhanced Recency Frequency Monetary (RFM) cluster analysis model, building on the principles of k-means clustering. Subsequently, the model is employed to cluster the import and export trade data of emergency supplies. Finally, the paper offers optimization suggestions for customs clearance supervision based on the analysis results.ResultsThe study primarily focuses on the collection and organization of import and export trade data across six major categories of representative emergency supplies. By employing K-means clustering techniques, the research develops an improved RFM cluster analysis model, referred to as TR-TF-TV, and subsequently proposes strategies for customs supervision of emergency supplies. By integrating K-means clustering techniques, this study develops an advanced RFM cluster analysis model, referred to as TR-TF-TV. It subsequently proposes customs supervision strategies for emergency supplies. These strategies include a clustering analysis of trade data to ensure safe and efficient customs clearance, the preservation of integrity and stability within the emergency supplies supply chain, the enhancement of the national emergency management system, and the improvement of response capabilities to public health emergencies.ConclusionThis analysis of trade data concerning the import and export of emergency supplies, based on the enhanced RFM clustering model, represents an exploratory initiative in original model design. Recognizing the inherent limitations associated with the model’s index design and data sample selection, we intend to refine these elements in future research, aiming to improve and validate the model to further optimize related countermeasures.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1520705/fullpublic health emergenciesemergency suppliesk-means algorithmRFM modelcustoms supervision |
| spellingShingle | Xia Zheng Quan Cao Xin Zhou Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data Frontiers in Public Health public health emergencies emergency supplies k-means algorithm RFM model customs supervision |
| title | Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data |
| title_full | Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data |
| title_fullStr | Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data |
| title_full_unstemmed | Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data |
| title_short | Research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on Chinese trade data |
| title_sort | research on optimization of emergency supplies customs clearance strategy from the perspective of public health security based on chinese trade data |
| topic | public health emergencies emergency supplies k-means algorithm RFM model customs supervision |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1520705/full |
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