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Effects of the Pluriativity of Brazilian Rural Establishments on Technical Efficiency

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  • Silva, J.D.S.
  • Freitas, C.O.D.
  • Costa, L.V.

Abstract

This paper examines Brazilian rural establishments that perform agricultural and non-agricultural activities. The combination of these activities, in the same agricultural unit, characterizes and defines pluriactivity. In this way, this research aims to verify the effect of pluriactivity on the efficiency of rural establishments, in technical terms. In order to reach the proposed goal, the Propensity Score Matching (PSM) was used to pair the sample in two groups, treated (pluriative) and untreated (non-pluriative). After the identification of these groups, a Probit model was estimated, followed by estimation of the production stochastic frontier to obtain the technical efficiency scores. The data used refer to a special tabulation based on the micro-data of the 2006 Census of Agriculture. Among the results found, establishments that carry out exclusively agricultural activities make better use of the available resources compared to the pluriactive ones, being technically more efficient. Acknowledgement :

Suggested Citation

  • Silva, J.D.S. & Freitas, C.O.D. & Costa, L.V., 2018. "Effects of the Pluriativity of Brazilian Rural Establishments on Technical Efficiency," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276969, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:276969
    DOI: 10.22004/ag.econ.276969
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    References listed on IDEAS

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    1. Carlos Otávio De Freitas & Erly Cardoso Teixeira & Marcelo José Braga, 2016. "Tamanho Do Estabelecimento E Eficiência Técnica Na Agropecuária Brasileira," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 191, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. José Graziano da Silva, 1997. "O novo rural brasileiro," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 7(1), pages 43-81, May.
    3. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    4. Helfand, Steven M. & Levine, Edward S., 2004. "Farm size and the determinants of productive efficiency in the Brazilian Center-West," Agricultural Economics, Blackwell, vol. 31(2-3), pages 241-249, December.
    5. Reardon, Thomas & Berdegue, Julio & Escobar, German, 2001. "Rural Nonfarm Employment and Incomes in Latin America: Overview and Policy Implications," World Development, Elsevier, vol. 29(3), pages 395-409, March.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Helfand, Steven & Magalhaes, Marcelo & Rada, Nicholas, 2015. "Brazil's Agricultural Total Factor Productivity Growth by Farm Size," 2015 Conference, August 9-14, 2015, Milan, Italy 211719, International Association of Agricultural Economists.
    8. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, October.
    9. Escher, Fabiano & Schneider, Sergio & Scarton, Luciana Maria & Conterato, Marcelo Antonio, 2014. "Caracterização da Pluriatividade e dos Plurirrendimentos da Agricultura Brasileira a partir do Censo Agropecuário 2006," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 52(4), pages 1-26, December.
    10. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    11. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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