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Agri-Food Policies and Family Farms’ Commercialization: Insights from Brazil

Author

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  • Valdemar João Wesz Junior

    (Latin American Institute of Economy, Society and Politics, Federal University of Latin American Integration, Rua Aluísio Souza, n. 765-Residencial Araras, Casa 101-Jardim Florença, Foz do Iguaçu 85867-295, PR, Brazil)

  • Simone Piras

    (Social, Economic and Geographical Sciences Department, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, Scotland, UK)

  • Catia Grisa

    (Litoral Norte Campus, Federal University of Rio Grande do Sul, Rua Dona Adda Mascarenhas 741, Ap. 404, Jardim Planalto, Porto Alegre 91220-240, RS, Brazil)

  • Stefano Ghinoi

    (Department of Communication and Economics, University of Modena and Reggio Emilia, Viale Antonio Allegri 9, Reggio Emilia, 41121 Modena, Italy
    Department of Economics and Management, University of Helsinki, Latokartanonkaari 5, P.O. Box 27, 00100 Helsinki, Finland
    Trieste Laboratory on Quantitative Sustainability, c/o ICTP, Strada Costiera 11, 34151 Trieste, Italy)

Abstract

Brazil is one of the main agricultural producers in the world, and its agri-food system has been experiencing concentration and intensification. Since the beginning of the 1990s, the Brazilian government has implemented different interventions to support family agriculture, such as the National Programme for Strengthening Family Farming (PRONAF), the Technical Assistance and Rural Extension Programme (ATER), and different seed distribution programs. Despite the social and economic relevance of these programs, there is a lack of quantitative studies investigating their impact on the resilience of family farms, primarily the promotion of commercialization. We aim to fill this gap by applying propensity score matching techniques to household-level data from the 2014 Brazilian National Household Sample Survey. Only this survey has recorded this type of information to date. We compare the commercialization behavior of policy recipients with that of non-recipients, accounting for interaction effects between different policies. Our results show that PRONAF has had a significant positive impact on family farmers’ propensity to engage in commercialization, and the effect increases if they also have access to technical assistance. Technical assistance alone has a positive effect, while seed distribution appears not to make a significant difference. Our results suggest that an appropriate policy mix can increase the resilience of family farms in emerging countries.

Suggested Citation

  • Valdemar João Wesz Junior & Simone Piras & Catia Grisa & Stefano Ghinoi, 2024. "Agri-Food Policies and Family Farms’ Commercialization: Insights from Brazil," Sustainability, MDPI, vol. 16(24), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:11102-:d:1546666
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    References listed on IDEAS

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    1. Kuhfuss, Laure & Subervie, Julie, 2018. "Do European Agri-environment Measures Help Reduce Herbicide Use? Evidence From Viticulture in France," Ecological Economics, Elsevier, vol. 149(C), pages 202-211.
    2. Sikhulumile Sinyolo & Maxwell Mudhara & Edilegnaw Wale, 2019. "The role of social grants on commercialization among smallholder farmers in South Africa: Evidence from a continuous treatment approach," Agribusiness, John Wiley & Sons, Ltd., vol. 35(3), pages 457-470, July.
    3. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    4. Pingali, Prabhu & Khwaja, Yasmeen & Meijer, Madelon, 2005. "Commercializing small farms: reducing transaction cost," ESA Working Papers 289070, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    5. Prasnee Tipraqsa & Pepijn Schreinemachers, 2009. "Agricultural commercialization of Karen Hill tribes in northern Thailand," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 43-53, January.
    6. Alexandra Lesnikowski & James D. Ford & Robbert Biesbroek & Lea Berrang-Ford, 2019. "A policy mixes approach to conceptualizing and measuring climate change adaptation policy," Climatic Change, Springer, vol. 156(4), pages 447-469, October.
    7. Ogutu, Sylvester Ochieng & Okello, Julius Juma & Otieno, David Jakinda, 2014. "Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity: The Case of Kenya," World Development, Elsevier, vol. 64(C), pages 311-321.
    8. Alexander, Kim S. & Parry, Lucy & Thammavong, Phomma & Sacklokham, Silinthone & Pasouvang, Somphanh & Connell, John G. & Jovanovic, Tom & Moglia, Magnus & Larson, Silva & Case, Peter, 2018. "Rice farming systems in Southern Lao PDR: Interpreting farmers’ agricultural production decisions using Q methodology," Agricultural Systems, Elsevier, vol. 160(C), pages 1-10.
    9. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    11. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    12. Frank Ellis, 1998. "Household strategies and rural livelihood diversification," Journal of Development Studies, Taylor & Francis Journals, vol. 35(1), pages 1-38.
    13. Varga, Mihai, 2020. "Poverty reduction through land transfers? The World Bank’s titling reforms and the making of “subsistence” agriculture," World Development, Elsevier, vol. 135(C).
    14. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    15. Edinete Rita Folle Cecconello & Leila Dal Moro & Cristian Rogério Foguesatto & Raquel Breichtenbach & Alcindo Neckel & Caroline Pauletto Spanhol & José Eustáquio Ribeiro Vieira-Filho & Giana de Vargas, 2023. "Challenges and Potentialities of Sustainability in the Institutional Food Market of Family Farming," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    16. Niemeyer, Julia & Vale, Mariana M., 2022. "Obstacles and opportunities for implementing a policy-mix for ecosystem-based adaptation to climate change in Brazil's Caatinga," Land Use Policy, Elsevier, vol. 122(C).
    17. Bobojonov, Ihtiyor & Teuber, Ramona & Hasanov, Shavkat & Urutyan, Vardan & Glauben, Thomas, 2016. "Farmers’ export market participation decisions in transition economies: a comparative study between Armenia and Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(1), pages 25-35.
    18. Poole, Nigel D. & Chitundu, Maureen & Msoni, Ronald, 2013. "Commercialisation: A meta-approach for agricultural development among smallholder farmers in Africa?," Food Policy, Elsevier, vol. 41(C), pages 155-165.
    19. Carolina Milhorance & Eric Sabourin & Jean-François Le Coq & Priscylla Mendes, 2020. "Unpacking the policy mix of adaptation to climate change in Brazil’s semiarid region: enabling instruments and coordination mechanisms," Climate Policy, Taylor & Francis Journals, vol. 20(5), pages 593-608, May.
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