Treffer: Longitudinal Poisson Assessment of Factors Influencing Farmers’ Market Counts.

This study uses secondary longitudinal data and a first difference pooled Poisson regression model to explain annual counts for farmers’ markets in the United States. Data were collected for all 50 states and the District of Columbia for 10 years, from 2004 to 2013, leading to a longitudinal data set with 510 observations. Results indicate that population growth and funds routed toward Women, Infants, and Children (WIC) farmers’ market nutrition programs increase farmers’ markets’ annual counts. The rate ratio of farmers’ markets’ counts for highly populated states that have both WIC and senior farmers’ market nutrition programs is approximately three times greater than their counterparts. Areas with high agriculture output experience a significant increase in counts. States located in the south and in desert areas have lower counts than other regions. This study suggests important recommendations to policy makers, farmers’ market managers, and researchers. [ABSTRACT FROM PUBLISHER]

Copyright of Journal of International Food & Agribusiness Marketing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)