IDEAS home Printed from https://ideas.repec.org/a/nov/artigo/v26y2016i3p721-746.html
   My bibliography  Save this article

Assessment of rural credit impact on land and labor productivity for Brazilian family farmers [Assessment of rural credit impact on land and labor productivity for Brazilian family farmers]

Author

Listed:
  • Marcos de Oliveira Garcias

    (UNILA)

  • Ana Lucia Kassouf

    (USP)

Abstract

The objective of this study was to evaluate the impact of rural credit on land and labor productivity for Brazilian family farmers and assess factors influencing the rural credit approval process. The study employs data contained in the 2006 Brazilian Municipality1 Agricultural Census and a “trade index” (TI) specifically constructed to differentiate family farmers. The impact of credit on land and labor productivity was calculated by comparing the productivity of a group of family farmers that received credit with the productivity of a group of family farmers that were credit restricted. The groups were constructed with the aid of propensity score matching. When statistically significant, the average effect of credit was found to increase the recipient’s productivity of land and labor. It was also found that productivity increases due to the use of credit aligned with the level of the family farmer’s integration into the commercial market and, therefore, one credit policy does not fit for all Brazilian family farmers.

Suggested Citation

  • Marcos de Oliveira Garcias & Ana Lucia Kassouf, 2016. "Assessment of rural credit impact on land and labor productivity for Brazilian family farmers [Assessment of rural credit impact on land and labor productivity for Brazilian family farmers]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 26(3), pages 721-746, September.
    • Handle: RePEc:nov:artigo:v:26:y:2016:i:3:p:721-746
    as

    Download full text from publisher

    File URL: http://www.scielo.br/pdf/neco/v26n3/1980-5381-neco-26-03-00721.pdf
    Download Restriction: no
    File URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-63512016000300721&lng=en&nrm=iso&tlng=en
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernando de Mendonça Dias & André Matos Magalhães & Raul Silveira Neto & Alexandre Rands Barros, 2004. "A Experiência Recente Do Pronaf Em Pernambuco: Uma Análise Através De Propensity Score," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 108, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. Alexandre Manoel Angelo da Silva & Guilherme Mendes Resende & Raul da Mota Silveira Neto, 2007. "Eficácia do Gasto Público: Uma Avaliação do FNE, FNO e FCO," Discussion Papers 1259, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Assunção, Juliano Junqueira & Alves, Luciana Sampaio, 2007. "Restrições de Crédito e Decisões Intra-Familiares," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 61(2), November.
    4. Chaves, R.A. & Sanchez, S. & Schor, S. & Tesliuc, E., 2001. "Financial Markets, Credit Constraints, and Investment in Rural Romania," Papers 499, World Bank - Technical Papers.
    5. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    6. Rodrigo A. Chaves & Susana Sanchez & Saul Schor & Emil Tesliuc, 2001. "Financial Markets, Credit Constraints, and Investment in Rural Romania," World Bank Publications - Books, The World Bank Group, number 13893.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ghinoi, S. & Piras, S. & Wesz, V.J.J., 2018. "Political debates and agricultural financing policies. Evaluating the crea-tion of Brazil s Pronaf through Discourse Network Analysis," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277274, International Association of Agricultural Economists.
    2. Berchin, Issa Ibrahim & Nunes, Nei Antonio & de Amorim, Wellyngton Silva & Alves Zimmer, Gabriel Alfredo & da Silva, Franciani Rodrigues & Fornasari, Vitória Haendchen & Sima, Mihaela & de Andrade Gue, 2019. "The contributions of public policies for strengthening family farming and increasing food security: The case of Brazil," Land Use Policy, Elsevier, vol. 82(C), pages 573-584.
    3. Ghinoi, Stefano & Wesz Junior, Valdemar João & Piras, Simone, 2018. "Political debates and agricultural policies: Discourse coalitions behind the creation of Brazil’s Pronaf," Land Use Policy, Elsevier, vol. 76(C), pages 68-80.

    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. Klapper, Leora & Sarria-Allende, Virginia & Sulla, Victor, 2002. "Small and medium size enterprise financing in Eastern Europe," Policy Research Working Paper Series 2933, The World Bank.
    2. Klapper, Leora & Sarria-Allende, Virginia & Zaidi, Rida, 2006. "A firm-level analysis of small and medium size enterprise financing in Poland," Policy Research Working Paper Series 3984, The World Bank.
    3. Irac, D. & Minoiu, C., 2006. "Risk Insurance in a Transition Economy: Evidence from Rural Romania," Working papers 154, Banque de France.
    4. Honohan, Patrick, 2005. "Measuring microfinance access : building on existing cross-country data," Policy Research Working Paper Series 3606, The World Bank.
    5. Neves, Mateus de Carvalho & Braga, Marcelo J., 2015. "Assessing public policy impacts: one application of Cooperatives Participating of Agricultural Cooperatives Capitalization Program (Procap-Agro) in Brazil," 2015 Conference, August 9-14, 2015, Milan, Italy 212528, International Association of Agricultural Economists.
    6. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    7. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    8. Amarendra Sharma, 2019. "Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching," ASARC Working Papers 2019-05, The Australian National University, Australia South Asia Research Centre.
    9. Hirota, Haruaki & Iwata, Kazuyuki & Tanaka, Kenta, 2022. "Is public official training effective at reducing costs? Evidence from survey data on Japanese municipal mergers," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 145-158.
    10. Kalaj, Ermira Hoxha, 2009. "Do Remittances Alter Labor Market Participation? A Study of Albania," MPRA Paper 48271, University Library of Munich, Germany.
    11. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    12. Shapiro, Joseph & Trevino, Jorge Moreno, 2004. "Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching," Policy Research Working Paper Series 3334, The World Bank.
    13. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    14. Joan-Ramon Borrell & Juan Luis Jiménez & Carmen García, 2014. "Evaluating Antitrust Leniency Programs," Journal of Competition Law and Economics, Oxford University Press, vol. 10(1), pages 107-136.
    15. Domadenik, Polona & Far?nik, Daša & Pastore, Francesco, 2013. "Horizontal Mismatch in the Labour Market of Graduates: The Role of Signalling," IZA Discussion Papers 7527, Institute of Labor Economics (IZA).
    16. Francesco Serti & Chiara Tomasi, 2008. "Self-Selection and Post-Entry Effects of Exports: Evidence from Italian Manufacturing Firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(4), pages 660-694, December.
    17. Asad K. Ghalib & Issam Malki & Katsushi S. Imai, 2012. "Microfinance and its role in household poverty reduction: findings from Pakistan," Global Development Institute Working Paper Series 17312, GDI, The University of Manchester.
    18. Cédric Afsa & Pauline Givord, 2009. "Le rôle des conditions de travail dans les absences pour maladie : le cas des horaires irréguliers," Économie et Prévision, Programme National Persée, vol. 187(1), pages 83-103.
    19. Guo, Qian & Song, Yang & Sun, Wenkai & Wang, Yijie, 2016. "Gender differences in performance-based pay: Evidence from a Chinese University," China Economic Review, Elsevier, vol. 41(C), pages 104-113.
    20. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.

    More about this item

    Keywords

    family farming; trade index; rural credit; propensity score matching;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    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:nov:artigo:v:26:y:2016:i:3:p:721-746. 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: Lucas Resende de Carvalho (email available below). General contact details of provider: https://edirc.repec.org/data/fufmgbr.html .

    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.