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Quality, Nature, and Embeddedness: Some Theoretical Considerations in the Context of the Food Sector*

Murdoch, Jonathan, Marsden, Terry, Banks, Jo·2000·Economic Geography

Abstract

Abstract: In this paper we analyze a turn to “quality” in both food production and consumption. We argue that quality in the food sector, as it is being asserted at the present time, is closely linked to nature and the local embeddedness of supply chains. We thus outline the broad contours of this shift and discuss the most appropriate theoretical approaches. We consider political economy, actor‐network theory, and conventions theory and argue that, whereas political economy has proved useful in the analysis of globalization, it may prove less so in the examination of quality. We concentrate, therefore, upon actor‐network theory and conventions theory and show that the former allows nature to be brought to the center of analytical attention but provides few tools for the analysis of quality, especially in the context of the food sector. Conventions theory, on the other hand, links together a range of aspects found in food supply chains and allows us to consider the establishment of quality as a system of negotiation between specific qualities. We illustrate possible uses of the approach through a brief consideration of food supply chains in Wales.

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Metadata

Authors
Murdoch, J., Marsden, T., & Banks, J.
Venue
Economic Geography
Publisher
Wiley
Published
2000-04
Volume
76
Issue
2
Pages
107-125
ISSN
  • 0013-0095 (ISSN-L)
  • 1944-8287
OpenAlex
W2113544074
Cited by
749
References
0
FWCI
55.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Quality, Nature, and Embeddedness: Some Theoretical Considerations in the Context of the Food Sector*. https://app.cochat.ai/papers/10.1111/j.1944-8287.2000.tb00136.x
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Murdoch, J., Marsden, T., & Banks, J. (2000). Quality, Nature, and Embeddedness: Some Theoretical Considerations in the Context of the Food Sector*. Economic Geography. https://doi.org/10.1111/j.1944-8287.2000.tb00136.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.