IDEAS home Printed from https://ideas.repec.org/p/anp/en2005/137.html
   My bibliography  Save this paper

Determinants Of Technical Efficiency In Agriculture And Cattle Ranching: A Spatial Analysis For The Brazilian Amazon

Author

Listed:
  • Danilo Camargo Igliori

Abstract

The determinants of technical efficiency in agriculture and cattle ranching are closely related with the debate involving the conservation-development trade-off in the Brazilian Amazon. Concerned with balancing development and environmental conservation, policy makers and academics have emphasized the importance of choosing ways of selecting areas where land use restrictions would be established. In order to understand the relationship between spatial patterns of deforestation and the associated distribution and characteristics of economic activity, issues regarding technical efficiency are clearly important. This paper aims to identify the socio-economic and environmental determinants of technical efficiency in agriculture and cattle ranching in the Brazilian Amazon emphasizing their relationship with spatial processes of deforestation and development. The study is structured in two parts. The first part is concerned with measuring technical efficiency for agriculture and cattle ranching in each geographical unit focusing on the production relationship between inputs and outputs. The second one focuses on the variation in the efficiency measure explained by exogenous factors and includes the spatial analysis. We adopt the model proposed by Battese and Coelli (1995) where the production function and the exogenous effects influencing technical efficiency are estimated simultaneously.

Suggested Citation

  • Danilo Camargo Igliori, 2005. "Determinants Of Technical Efficiency In Agriculture And Cattle Ranching: A Spatial Analysis For The Brazilian Amazon," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 137, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2005:137
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2005/artigos/A05A137.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Mester, Loretta J., 1993. "Efficiency in the savings and loan industry," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 267-286, April.
    2. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    3. Otsuki, Tsunehiro & Hardie, Ian W. & Reis, Eust quio J., 2002. "The implication of property rights for joint agriculture timber productivity in the Brazilian Amazon," Environment and Development Economics, Cambridge University Press, vol. 7(02), pages 299-323, May.
    4. van der Vlist, Arno & Withagen, Cees & Folmer, Henk, 2005. "Testing Porter's Hypothesis: A Stochastic Frontier Panel Data Analysis of Dutch Horticulture," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24641, European Association of Agricultural Economists.
    5. Florax, Raymond & Folmer, Henk, 1992. "Specification and estimation of spatial linear regression models : Monte Carlo evaluation of pre-test estimators," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 405-432, September.
    6. Pascual, Unai, 2005. "Land use intensification potential in slash-and-burn farming through improvements in technical efficiency," Ecological Economics, Elsevier, vol. 52(4), pages 497-511, March.
    7. Eustaquio Reis & Diana Weinhold, 2004. "Land Use and Transportation Costs in the Brazilian Amazon," Urban/Regional 0410003, EconWPA.
    8. Mester, Loretta J., 1997. "Measuring efficiency at U.S. banks: Accounting for heterogeneity is important," European Journal of Operational Research, Elsevier, vol. 98(2), pages 230-242, April.
    9. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(03), December.
    10. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
    11. Nelson, Gerald C., 2002. "Introduction to the special issue on spatial analysis for agricultural economists," Agricultural Economics, Blackwell, vol. 27(3), pages 197-200, November.
    12. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(01), pages 88-101, April.
    13. Chomitz, Kenneth M. & Thomas, Timothy S., 2001. "Geographic patterns of land use and land intensity in the Brazilian Amazon," Policy Research Working Paper Series 2687, The World Bank.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
    16. Pfaff, Alexander S. P., 1999. "What Drives Deforestation in the Brazilian Amazon?: Evidence from Satellite and Socioeconomic Data," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 26-43, January.
    17. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    18. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    19. Mertens, B. & Poccard-Chapuis, R. & Piketty, M.G. & Lacques, A.E. & Venturieri, A., 2002. "Crossing spatial analyses and livestock economics to understand deforestation processes in the Brazilian Amazon: the case of Sao Felix do Xingu in South Para," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 27(3), November.
    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. Imori, Denise & Guilhoto, Joaquim José Martins & Postali, Fernando Antonio Slaibe, 2012. "Production efficiency of family farms and business farms in the Brazilian regions," MPRA Paper 46995, University Library of Munich, Germany.
    2. Maurice Ogada & Dianah Muchai & Germano Mwabu & Mary Mathenge, 2014. "Technical efficiency of Kenya’s smallholder food crop farmers: do environmental factors matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(5), pages 1065-1076, October.
    3. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63(1).
    4. Imori, Denise & Guilhoto, Joaquim José Martins & Postali, Fernando Antonio Slaibe, 2012. "Eficiência técnica das agropecuárias familiar e patronal – diferenças regionais no Brasil
      [Technical efficiency of agricultural households and business - regional differences in Brazil]
      ," MPRA Paper 46954, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:anp:en2005:137. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rodrigo Zadra Armond). General contact details of provider: http://edirc.repec.org/data/anpecea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.