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Understanding participation in farm to school programs: Results integrating school and supply-side factors

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  • Botkins, Elizabeth R.
  • Roe, Brian E.

Abstract

Despite their status as the largest and most systematic of government programs to promote local foods in the US, few studies identify the factors that are associated with the school district decision to participate in farm to school (FTS) programs. We are the first to leverage the USDA’s Farm to School Census to analyze factors associated with FTS participation, the types of FTS activities implemented, and the challenges faced by participating school districts. Because a school’s participation is circumscribed by access to local foods, we control for the supply of local foods. We use spatially articulate data to estimate the spatial spillover effects of FTS participation. The results demonstrate that both school characteristics and local farm production factors are associated with FTS participation. The estimated spatial spillover effect is positive suggesting that areas with a high penetration of FTS activities have lower barriers associated with implementing FTS programs.

Suggested Citation

  • Botkins, Elizabeth R. & Roe, Brian E., 2018. "Understanding participation in farm to school programs: Results integrating school and supply-side factors," Food Policy, Elsevier, vol. 74(C), pages 126-137.
    • Handle: RePEc:eee:jfpoli:v:74:y:2018:i:c:p:126-137
    DOI: 10.1016/j.foodpol.2017.12.006
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    References listed on IDEAS

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    Cited by:

    1. Viviany Moura Chaves & Cecília Rocha & Sávio Marcelino Gomes & Michelle Cristine Medeiros Jacob & João Bosco Araújo da Costa, 2023. "Integrating Family Farming into School Feeding: A Systematic Review of Challenges and Potential Solutions," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    2. Plakias, Zoë & Klaiber, Allen & Roe, Brian E., 2018. "Heterogeneity in Farm-to-School Spending: Drivers and Implications," 2018 Annual Meeting, August 5-7, Washington, D.C. 273854, Agricultural and Applied Economics Association.
    3. Yan Zhou & Chunjui Wei & Yong Zhou, 2022. "How Does Urban Farming Benefit Participants? Two Case Studies of the Garden City Initiative in Taipei," Land, MDPI, vol. 12(1), pages 1-27, December.
    4. Panchalingam, Thadchaigeni & Howard, Gregory & Allen Klaiber, H. & Roe, Brian E., 2023. "Food choice behavior of adolescents under parent-child interaction in the context of US school lunch programs," Food Policy, Elsevier, vol. 115(C).
    5. Bonanno, Alessandro & Mendis, Sachintha S., 2021. "Too cool for farm to school? Analyzing the determinants of farm to school programming continuation," Food Policy, Elsevier, vol. 102(C).
    6. Rushi Wang & Shigeto Yanai, 2023. "Characteristics and Roles of School Gardens in Urban Areas of Japan: Perspective of School Managers," Land, MDPI, vol. 12(3), pages 1-20, February.
    7. Kashyap, Pratyoosh & Jablonski, Becca B.R. & Bauman, Allison, 2022. "Exploring the Relationship between Stocks of Community Wealth and the Intensity of Farm to School Program Activities," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322167, Agricultural and Applied Economics Association.
    8. Duke, Joshua M. & Bernard, John C. & Vitz, Gregory, 2021. "A new food label to aid farmland preservation programs: Evidence from a field experiment," Food Policy, Elsevier, vol. 99(C).

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    More about this item

    Keywords

    Farm to school; Local foods; Spatial spillover; Policy;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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