IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/276969.html
   My bibliography  Save this paper

Effects of the Pluriativity of Brazilian Rural Establishments on Technical Efficiency

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/276969/files/391.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.276969?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
    ---><---

    References listed on IDEAS

    as
    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 M. & Magalhaes, Marcelo M. & Rada, Nicholas E., 2015. "Brazil's Agricultural Total Factor Productivity Growth by Farm Size," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204875, Agricultural and Applied Economics Association.
    8. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
    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.
    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. Freitas, C.O.D. & Silva, F.F. & Braga, M.J., 2018. "The effect of rural extension on farm technical efficiency in Brazil," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277271, International Association of Agricultural Economists.
    2. Freitas, Carlos Otavio de & Silva, Felipe de Figueiredo & Braga, Marcelo Jose & Neves, Mateus de Carvalho Reis, 2021. "Rural extension and technical efficiency in the Brazilian agricultural sector," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(2), January.
    3. Chisom Lotanna Ubabukoh & Katsushi S. Imai, 2023. "Are farmers ‘efficient but poor’? The impact of crop choices on technical efficiency and poverty in Nigeria," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 191-213, February.
    4. Paul, Satya & Shankar, Sriram, 2018. "Modelling Efficiency Effects in a True Fixed Effects Stochastic Frontier," MPRA Paper 87437, University Library of Munich, Germany.
    5. Satya Paul & Sriram Shankar, 2020. "Estimating efficiency effects in a panel data stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 53(2), pages 163-180, April.
    6. Solis, Daniel & Bravo-Ureta, Boris E. & Quiroga, Ricardo E., 2006. "The Effect Of Soil Conservation On Technical Efficiency: Evidence From Central America," 2006 Annual meeting, July 23-26, Long Beach, CA 21345, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Basurto Hernandez, Saul & Maddison, David & Banerjee, Anindya, 2018. "The effect of PROCAMPO on farms’ technical efficiency: A Stochastic Frontier Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274376, Agricultural and Applied Economics Association.
    8. Juliana de Sales Silva, 2021. "Technical Efficiency and Public Policies in Agriculture: An Analysis for the Eastern Amazon Region," Ensayos de Economía 19349, Universidad Nacional de Colombia Sede Medellín.
    9. Chisom Ubabukoh & Katsushi S. Imai, 2021. "Are Farmers "Efficient but Poor"? The Impact of Crop Choices on Agricultural Productivity and Poverty in Nigeria," Economics Discussion Paper Series 2109, Economics, The University of Manchester.
    10. Lakner, Sebastian & Breustedt, Gunnar, 2015. "Efficiency analysis of organic farming systems- a review of methods, topics, results, and conclusions," 2015 Conference, August 9-14, 2015, Milan, Italy 212025, International Association of Agricultural Economists.
    11. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    12. Sébastien Marchand, 2011. "Technical Efficiency, Farm Size and Tropical Deforestation in the Brazilian Amazonian Forest," Working Papers halshs-00552981, HAL.
    13. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    14. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    15. Sandrine Kablan & Ouidad Yousfi, 2015. "Performance of Islamic Banks across the World: An Empirical Analysis over the Period 2001-2008," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(1), pages 27-46.
    16. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    17. Adegbite, O. & Adeoye, I. B., 2015. "Technical Efficiency of Pineapple Production in Osun State, Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(1), pages 1-10, March.
    18. Helvoigt, Ted L. & Adams, Darius M., 2009. "A stochastic frontier analysis of technical progress, efficiency change and productivity growth in the Pacific Northwest sawmill industry," Forest Policy and Economics, Elsevier, vol. 11(4), pages 280-287, July.
    19. Moritz Flubacher & George Sheldon & Adrian Müller, 2015. "Comparison of the Economic Performance between Organic and Conventional Dairy Farms in the Swiss Mountain Region Using Matching and Stochastic Frontier Analysis," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 7(1), pages 76-84.
    20. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.

    More about this item

    Keywords

    Research and Development/ Tech Change/Emerging Technologies;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae18:276969. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.