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Product Recalls in European Textile and Clothing Sector—A Macro Analysis of Risks and Geographical Patterns.

Authors :
Kumar, Vijay
Source :
Stats; Dec2022, Vol. 5 Issue 4, p1044-1061, 18p
Publication Year :
2022

Abstract

Textile and clothing (T&C) products contribute to a substantial proportion of the non-food product recalls in the European Union (EU) due to various levels of associated risks. Out of the listed 34 categories for product recalls in the EU's Rapid Exchange of Information System (RAPEX), the category 'clothing, textiles, and fashion items' was among the top 3 categories with the most recall cases during 2013–2019. Previous studies have attempted to highlight the issue of product recalls and their impacts from the perspective of a single company or selected companies, whereas limited attention is paid to understand the problem from a sector-specific perspective. However, considering the nature of product risks and the consistency in a higher number of recall cases, it is important to analyze the issue of product recalls in the T&C sector from a sector-specific perspective. In this context, the paper focuses on investigating the past recalls in the T&C sector reported RAPEX during 2005–2021 to understand the major trends in recall occurrence and associated hazards. Correspondence Analysis (CA) and Latent Dirichlet Allocation (LDA) were applied to analyze the qualitative and quantitative recall data. The results reveal that there is a geographical pattern for the product risk that leads to the recalls. The countries in eastern part of Europe tend to have proportionately high recalls in strangulation and choking-related issues, whereas chemical-related recalls are proportionately high in countries located in western part of Europe. Further, text-mining results indicate that design-related recall issues are more prevalent in children's clothing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2571905X
Volume :
5
Issue :
4
Database :
Complementary Index
Journal :
Stats
Publication Type :
Academic Journal
Accession number :
161003181
Full Text :
https://doi.org/10.3390/stats5040062