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Corporate harm and embedded labour exploitation in agri-food supply networks

DAVIES, Jonathan (2020) Corporate harm and embedded labour exploitation in agri-food supply networks. European Journal of Criminology, 17 (1). pp. 70-85. ISSN 1741-2609

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Official URL: http://dx.doi.org/10.1177/1477370819874416

Abstract or description

Harm facilitated by corporations has received increased attention in recent years. However, corporate crime and harm remain under-researched themes in relation to labour exploitation, both in theoretical and empirical terms. The purpose of this paper is to argue that in the context of agricultural and food supply networks, harmful labour practices result from structural problems associated with the demand for products. While individual employers and businesses have a role in facilitating these harmful practices, they also emerge from otherwise legitimate agri-food supply network dynamics, such as subcontracted labour which results in fragmented responsibility. Therefore, labour practices have significant implications for the nature, organisation, and control of corporate harms, whereby harmful consequences become normalised, accepted, and embedded in agri-food supply network practices. Criminological analyses of food production and contemporary markets more widely can begin to address the systemic challenges of harmful labour practices, both in domestic and global supply networks.

Item Type: Article
Additional Information: "This is the Authors Accepted manuscript of the following article: Davies, J. (2020) ‘Corporate harm and embedded labour exploitation in agri-food supply networks’, European Journal of Criminology, 17(1), pp. 70–85. doi: 10.1177/1477370819874416. the final published version is provided by SAGE at https://doi.org/10.1177%2F1477370819874416
Faculty: School of Law, Policing and Forensics > Criminal Justice and Forensic Science
Depositing User: Jonathan DAVIES
Date Deposited: 16 Dec 2020 11:21
Last Modified: 24 Feb 2023 14:00
URI: https://eprints.staffs.ac.uk/id/eprint/6694

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