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Farmers Market Locations and Their Determinants: An Empirical Analysis in New England

  • Alessandro Bonanno, Joshua Berning and Hamideh Etemaadnia

After a strong expansion across the United States, farmers markets’ (FMs) growth rate has declined in spite of policymakers’ interest in promoting them. In this study we model farmers’ participation in FMs and investigate what market factors affect FMs’ location using zip-code-level data for the New England states. Our results suggest that market size, education, presence of children in the household and SNAP participation lend to the establishment of FMs, more than income per se. Farming activities has a positive association with the likelihood of FMs, while proxies for establishment costs and the presence of traditional distribution channels may play a limiting role in their formation.

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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Corresponding author
Corresondence: Alessandro Bonanno ■ Associate Professor of Agricultural EconomicsDepartment of Agricultural and Resource Economics; Colorado State University; Clark Building, Room B327Fort Collins, CO 80524 ■ Phone: 970.491.5543 ■ Email
Joshua Berning ■ Associate Professor; Department of Agricultural and Applied EconomicsUniversity of Georgia, Conner Hall147 Cedar StreetAthens, GA 30602 ■ Phone: 706.542.0768 ■ Email;
Hamideh EtemaadniaSenior Transportation ModelerC&M AssociatesTollway Towers NorthSuite 870 15770 North Dallas Parkway DallasTexas 75248 ■ Tel: 214.245.5300 Ext. 428 ■ Email
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The authors would like to thank Hualu Zheng for help with data collection, Stephan Goetz and Rebecca Cleary for comments on previous versions of the manuscript, participants at the 2013 AAEA & CAES Joint Annual Meeting, 2014 NAREA Annual Meeting, and seminar participants at Wageningen University for discussions on early versions of this work. Funding from the Agricultural Experiment Station of Colorado State University and the University of Georgia is gratefully acknowledged. Last, we would like to thank the editor, Todd Schmidt, and two anonymous reviewers, for comments and suggestions that have improved the paper during the review process. All remaining errors, are, of course, ours.

The views expressed are the authors’ and do not necessarily represent the policies or views of any sponsoring agencies.

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Agricultural and Resource Economics Review
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