Factors impacting producer marketing through community supported agriculture

PLoS One. 2019 Jul 9;14(7):e0219498. doi: 10.1371/journal.pone.0219498. eCollection 2019.

Abstract

Nowadays, consumers have become increasingly aware of their local food system as a result of concerning about health and nutrition, food safety and sustainability, and local economic development. This transitional shift from global to direct-to-consumer farm operations has increased the demand for locally produced foods. As an alternative, community supported agriculture (CSA), a direct and sustainable food channel, has gained tremendous popularity in the US. Despite the interest garnered by local agriculture and CSA, relatively few studies have empirically tested the determinants of why this marketing phenomenon has grown so rapidly. The purpose of this study is to explore the factors that drive producers to market their products through CSA by using a county-level data set from the US. Results using a Tobit model indicate that specific operator characteristics, such as young and female operators and those engaged in farming as primary occupation, play a strongly positive role in the likelihood of marketing through CSA; farms with small size, rented land, and engagement in growing vegetables, melons, fruits and tree nut crops are more interested in marketing via CSA; households with higher income and females significantly increase the share of farms marketing through CSA; presence of children and seniors and being married are negatively related to the demand for CSA foods. Moreover, counties with higher density of population, establishments-supermarket and other grocery stores, and legislation or active programs that encourage local food consumption tend to encourage more farms marketing through CSA.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture / economics*
  • Algorithms
  • Child
  • Crop Production / economics*
  • Crops, Agricultural / economics*
  • Humans
  • Income
  • Models, Econometric
  • Models, Theoretical*
  • United States

Grants and funding

This work was financially supported by the National Social Science Fund of China (grant no. 17CJY042) and China Postdoctoral Science Foundation (grant no. 2018M633391). We also kindly thank the China Scholarship Council for their support (grant no. 201406340144).