Network Analysis for the Improvement of Food Safety in the International Honey Trade
Honey, this relatively homogenous, hard to trace product, characterised by considerable international price differences, and often regulated by high tariff barriers, lends itself to economically motivated product adulteration. The adulteration of honey can undermine confidence in products as well...
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| Format: | Article |
| Language: | English |
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Editura ASE
2018-02-01
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| Series: | Amfiteatru Economic |
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| Online Access: | http://www.amfiteatrueconomic.ro/temp/Article_2696.pdf |
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| author | József Popp Anna Kiss Judit Oláh Domicián Máté Attila Bai Zoltán Lakner |
| author_facet | József Popp Anna Kiss Judit Oláh Domicián Máté Attila Bai Zoltán Lakner |
| author_sort | József Popp |
| collection | DOAJ |
| description | Honey, this relatively homogenous, hard to trace product, characterised by considerable
international price differences, and often regulated by high tariff barriers, lends itself to
economically motivated product adulteration. The adulteration of honey can undermine
confidence in products as well as having adverse public health consequences. The aim of
this research is to demonstrate the possibilities for the utilisation of network-based
stochastic simulation methods to determine the proliferation of (accidentally or
deliberately) polluted food products, using the example of the international honey trade
network. The database for the analysis is based on the FAO dataset. The results of a
network analysis of the global honey trade system highlight the scale-free character of the
world’s honey supply system. Focussing on backbone states and product flows, it is
possible to determine the geographical distribution of polluted products as a function of the
source of pollution. This information is important for the organisation of international trade
control systems when contaminated products appear in a given state. The “polluted product
transfer capacity” and the exposure of different states to polluted honey products can, in
most cases, be efficiently forecast by the simultaneous application of different centrality
measures and indicators. |
| format | Article |
| id | doaj-art-857adcc566e8446fa7bce5411eb77dd3 |
| institution | OA Journals |
| issn | 1582-9146 2247-9104 |
| language | English |
| publishDate | 2018-02-01 |
| publisher | Editura ASE |
| record_format | Article |
| series | Amfiteatru Economic |
| spelling | doaj-art-857adcc566e8446fa7bce5411eb77dd32025-08-20T01:58:20ZengEditura ASEAmfiteatru Economic1582-91462247-91042018-02-012047849810.24818/EA/2018/47/84Network Analysis for the Improvement of Food Safety in the International Honey TradeJózsef Popp0Anna Kiss1Judit Oláh2Domicián Máté3Attila Bai 4Zoltán Lakner5University of Debrecen, HungarySzent István University, HungaryUniversity of Debrecen, HungaryUniversity of Debrecen, HungaryUniversity of Debrecen, HungarySzent István University, HungaryHoney, this relatively homogenous, hard to trace product, characterised by considerable international price differences, and often regulated by high tariff barriers, lends itself to economically motivated product adulteration. The adulteration of honey can undermine confidence in products as well as having adverse public health consequences. The aim of this research is to demonstrate the possibilities for the utilisation of network-based stochastic simulation methods to determine the proliferation of (accidentally or deliberately) polluted food products, using the example of the international honey trade network. The database for the analysis is based on the FAO dataset. The results of a network analysis of the global honey trade system highlight the scale-free character of the world’s honey supply system. Focussing on backbone states and product flows, it is possible to determine the geographical distribution of polluted products as a function of the source of pollution. This information is important for the organisation of international trade control systems when contaminated products appear in a given state. The “polluted product transfer capacity” and the exposure of different states to polluted honey products can, in most cases, be efficiently forecast by the simultaneous application of different centrality measures and indicators.http://www.amfiteatrueconomic.ro/temp/Article_2696.pdfcentrality measuresinternational tradefood safetyhoney tradescale free networkstochastic simulationvulnerability analysis |
| spellingShingle | József Popp Anna Kiss Judit Oláh Domicián Máté Attila Bai Zoltán Lakner Network Analysis for the Improvement of Food Safety in the International Honey Trade Amfiteatru Economic centrality measures international trade food safety honey trade scale free network stochastic simulation vulnerability analysis |
| title | Network Analysis for the Improvement of Food Safety in the International Honey Trade |
| title_full | Network Analysis for the Improvement of Food Safety in the International Honey Trade |
| title_fullStr | Network Analysis for the Improvement of Food Safety in the International Honey Trade |
| title_full_unstemmed | Network Analysis for the Improvement of Food Safety in the International Honey Trade |
| title_short | Network Analysis for the Improvement of Food Safety in the International Honey Trade |
| title_sort | network analysis for the improvement of food safety in the international honey trade |
| topic | centrality measures international trade food safety honey trade scale free network stochastic simulation vulnerability analysis |
| url | http://www.amfiteatrueconomic.ro/temp/Article_2696.pdf |
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