29
Views
0
CrossRef citations to date
0
Altmetric
Research Article

“EMPLACED” WASTE: A CONTENT ANALYSIS OF FOOD WASTE HOUSEHOLD SURVEYS

Published online: 09 Apr 2024
 

ABSTRACT

Waste materials are ontologically inseparable from the context of their production. While much early food waste research has focused on quantification and consumer psychology, researchers in a range of disciplines would now benefit from alternate frameworks in which to spatialize the chimerical matter of food waste. To suggest generative paths for the future of food waste research, this study investigates spatial concepts already engaged in “emplaced” household food waste surveys published between 2012 and 2022. Surveys administered within defined geographic areas are considered emplaced. Sixty-eight relevant papers were identified in a systematic literature review. Resulting themes, including regional memberships, questions of scale and synecdoche, qualities of place, food cultures resulting from specific socio-spatial arrangements, and temporal consequences for organic matter, were structured according to Massey’s 2005 spatial provocations and propose fruitful directions for geographers to continue advancing the study of food waste.

Acknowledgments

Thank you to Dr. Shannon O’Lear and Dr. Joane Nagel for thoughtful feedback to early drafts. Many thanks to anonymous reviewers for insightful comments.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 174.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.