IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v132y2025ics0306919225000600.html
   My bibliography  Save this article

Transformative policies in Brazilian agri-food systems: An analysis of family farm procurement under the national school feeding program

Author

Listed:
  • Fonseca, Camila Veneo C.
  • Proença, Yasmin
  • Luna, Ivette
  • Saes, Maria Sylvia M.

Abstract

Public procurement is a key policy tool for promoting more sustainable agri-food systems. In Brazil, the National School Feeding Program (PNAE) has played an important role in integrating family farmers into institutional markets, yet various factors affect their participation. This study investigates the most important factors influencing family farmers’ participation in public procurement under the PNAE. It examines three analytical dimensions: demographic characteristics, state capacities, and family farming features. Using logistic regressions and classification trees, the research finds that municipality density negatively impacts family farm procurement targets, while state capacities have positive effects. Agricultural characteristics such as the proportion of family farming establishments relative to all agricultural establishments, technical assistance, financing, and formalization also play significant roles. The findings underscore the importance of regional variables in Brazilian agricultural dynamics. By analyzing all Brazilian municipalities with both linear and nonlinear analytical techniques, this study contributes to understanding the effective implementation of the PNAE, providing valuable insights for researchers and public managers.

Suggested Citation

  • Fonseca, Camila Veneo C. & Proença, Yasmin & Luna, Ivette & Saes, Maria Sylvia M., 2025. "Transformative policies in Brazilian agri-food systems: An analysis of family farm procurement under the national school feeding program," Food Policy, Elsevier, vol. 132(C).
    • Handle: RePEc:eee:jfpoli:v:132:y:2025:i:c:s0306919225000600
    DOI: 10.1016/j.foodpol.2025.102856
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919225000600
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.foodpol.2025.102856?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Lyson, Helena C., 2016. "National policy and state dynamics: A state-level analysis of the factors influencing the prevalence of farm to school programs in the United States," Food Policy, Elsevier, vol. 63(C), pages 23-35.
    2. Kelly Parsons & David Barling, 2022. "Identifying the Policy Instrument Interactions to Enable the Public Procurement of Sustainable Food," Agriculture, MDPI, vol. 12(4), pages 1-21, April.
    3. Krasnoff, Shayna M. & Schmit, Todd M. & Bilinski, Cheryl B., 2023. "Economic impact assessment of public incentives to support farm-to-school food purchases," Food Policy, Elsevier, vol. 121(C).
    4. Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
    5. Kashyap, Pratyoosh & Jablonski, Becca B.R. & Bauman, Allison, 2024. "Exploring the relationships among stocks of community wealth, state farm to school policies, and the intensity of farm to school activities," Food Policy, Elsevier, vol. 122(C).
    6. Mossmann, Márcia Pozzagnol & Teo, Carla Rosane Paz Arruda & Busato, Maria Assunta & Triches, Rozane Marcia, 2017. "Interface Between Family Farming and School Feeding: barriers and coping mechanisms from the perspective of different social actors in Southern Brazil," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 55(2), January.
    7. Santos, Tatiana Tomal Brondani dos & Torres, Ricardo Lobato, 2023. "Efeitos do acesso ao mercado institucional sobre a segurança alimentar e nutricional no município de Almirante Tamandaré, Paraná," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 61(2), January.
    8. 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.
    9. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
    10. 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).
    11. Isabela Renó Jorge Moreira & Alair Ferreira de Freitas & Almiro Alves Júnior & Alan Ferreira de Freitas & Joyce Santana Bernardo & Suany Machado da Silva, 2023. "Family Farming Cooperatives and Associations and the Institutional Market Created by the National School Feeding Program (PNAE) in Minas Gerais, Brazil," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    12. Gaitán-Cremaschi, Daniel & Klerkx, Laurens & Aguilar-Gallegos, Norman & Duncan, Jessica & Pizzolón, Alejandro & Dogliotti, Santiago & Rossing, Walter A.H., 2022. "Public food procurement from family farming: A food system and social network perspective," Food Policy, Elsevier, vol. 111(C).
    13. Mossmann, Márcia Pozzagnol & Busato, Maria Assunta & Teo, Carla Rosane Paz Arruda & Triches, Rozane Marcia, 2017. "Interface Between Family Farming and School Feeding: barriers and coping mechanisms from the perspective of different social actors in Southern Brazil," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 55(2), August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Kashyap, Pratyoosh & Jablonski, Becca B.R. & Bauman, Allison, 2024. "Exploring the relationships among stocks of community wealth, state farm to school policies, and the intensity of farm to school activities," Food Policy, Elsevier, vol. 122(C).
    3. Krasnoff, Shayna M. & Schmit, Todd M. & Bilinski, Cheryl B., 2023. "Economic impact assessment of public incentives to support farm-to-school food purchases," Food Policy, Elsevier, vol. 121(C).
    4. 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.
    5. Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023. "Big data forecasting of South African inflation," Empirical Economics, Springer, vol. 65(1), pages 149-188, July.
    6. Daniel Boller & Michael Lechner & Gabriel Okasa, 2025. "The effect of sport in online dating: evidence from causal machine learning," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    7. 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).
    8. Hazar Altınbaş & Vincenzo Pacelli & Edgardo Sica, 2022. "An Empirical Assessment of the Contagion Determinants in the Euro Area in a Period of Sovereign Debt Risk," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 339-371, July.
    9. James T. E. Chapman & Ajit Desai, 2023. "Macroeconomic Predictions Using Payments Data and Machine Learning," Forecasting, MDPI, vol. 5(4), pages 1-32, November.
    10. Maximilian Maurice Gail & Phil-Adrian Klotz, 2021. "The Impact of the Agency Model on E-book Prices: Evidence from the UK," MAGKS Papers on Economics 202111, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Goller, Daniel & Lechner, Michael & Pongratz, Tamara & Wolff, Joachim, 2025. "Active labor market policies for the long-term unemployed: New evidence from causal machine learning," Labour Economics, Elsevier, vol. 94(C).
    12. Elena Ivona DUMITRESCU & Sullivan HUE & Christophe HURLIN & Sessi TOKPAVI, 2020. "Machine Learning or Econometrics for Credit Scoring: Let’s Get the Best of Both Worlds," LEO Working Papers / DR LEO 2839, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    13. Jau-er Chen & Chien-Hsun Huang & Jia-Jyun Tien, 2021. "Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    14. John Aoga & Juhee Bae & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of weather factors on migration intention using machine learning algorithms," Papers 2012.02794, arXiv.org.
    15. Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025. "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, vol. 172(C).
    16. Xie, Wen-Jie & Li, Mu-Yao & Zhou, Wei-Xing, 2021. "Learning representation of stock traders and immediate price impacts," Emerging Markets Review, Elsevier, vol. 48(C).
    17. Carlos Mendez, 2019. "Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach," Economies, MDPI, vol. 7(3), pages 1-17, July.
    18. De Lombaerde, Philippe & Naeher, Dominik & Vo, Hung Trung & Saber, Takfarinas, 2023. "Regional economic integration and machine learning: Policy insights from the review of literature," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 1077-1097.
    19. 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).
    20. Gaitán-Cremaschi, Daniel & Valbuena, Diego, 2024. "Examining purchasing strategies in public food procurement: Integrating sustainability, nutrition, and health in Spanish school meals and social care centres," Food Policy, Elsevier, vol. 129(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jfpoli:v:132:y:2025:i:c:s0306919225000600. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.