Preferences of locavores favoring community supported agriculture in the United States and France

Hikaru Hanawa Peterson, Mykel R. Taylor, Quentin Baudouin

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Various retail outlets are available for consumers to access local foods including grocery stores, farmers' markets, and community supported agriculture (CSA) programs. This study purports that consumers' selection of retail outlets for local foods depends on a tradeoff between the degree of assurance on credence attributes offered at the outlet, and the associated time and convenience costs. Empirically, survey responses from U.S. and French individuals are analyzed. Ordered logit model results suggest distinct motivators for local food consumption in our samples: support for local farmers among U.S. respondents and respect for the environment among French respondents. Latent class models identified consumer segments that valued CSA participation consisting of a quarter of the U.S. sample and three fifths of the French sample. Individuals within these CSA-inclined segments in both samples preferred bundle mixes with greater variety and the ability to provide input on the content of the bundle.

Original languageEnglish (US)
Pages (from-to)64-73
Number of pages10
JournalEcological Economics
Volume119
DOIs
StatePublished - Nov 1 2015

Bibliographical note

Funding Information:
The authors gratefully acknowledge financial support from U.S. Department of Agriculture Agricultural Marketing Service through Farmers Market Promotion Program grant #KS-063-2008-G-0709 . Research was conducted while Peterson was at Kansas State University.

Publisher Copyright:
© 2015 Elsevier B.V.

Keywords

  • Community supported agriculture
  • France
  • Latent class model
  • Local food
  • Ordered logit model
  • United States

Fingerprint

Dive into the research topics of 'Preferences of locavores favoring community supported agriculture in the United States and France'. Together they form a unique fingerprint.

Cite this