IDEAS home Printed from https://ideas.repec.org/a/fgv/epgrbe/v76y2022i1a81975.html
   My bibliography  Save this article

Heterogeneity in Agricultural Factor Productivity Across and Within Farm Size Groups in Brazil

Author

Listed:
  • Meiners, Pedro Gabriel
  • Torres, Marcelo de Oliveira

Abstract

A key issue in evaluating agricultural factor productivity in Brazil is the existing wide variation in farm sizes. In this study, we follow a quantile regression approach and use bootstrapping techniques to estimate a flexible production function to show that factor productivity does vary across and within land size groups. This happens not only because farms of different sizes use different input proportions but rather due to the existence of inter and intragroup farm-specific effects. Our results suggest that usual average measures of factor productivity of previous studies may then be poorly describing the Brazilian agriculture, likely leading to confounding conclusions.

Suggested Citation

  • Meiners, Pedro Gabriel & Torres, Marcelo de Oliveira, 2022. "Heterogeneity in Agricultural Factor Productivity Across and Within Farm Size Groups in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 76(1), June.
  • Handle: RePEc:fgv:epgrbe:v:76:y:2022:i:1:a:81975
    as

    Download full text from publisher

    File URL: https://periodicos.fgv.br/rbe/article/view/81975
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tauer, Loren W. & Belbase, Krishna P., 1987. "Technical Efficiency Of New York Dairy Farms," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 16(1), pages 1-7, April.
    2. Aly, Hassan Y. & Belbase, Krishna & Grabowski, Richard & Kraft, Steven, 1987. "The Technical Efficiency of Illinois Grain Farms: An Application of a Ray-Homothetic Production Function," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(1), pages 69-78, July.
    3. Mike Waugh & David Lagakos & Doug Gollin, 2011. "The Agricultural Productivity Gap in Developing Countries," 2011 Meeting Papers 1397, Society for Economic Dynamics.
    4. Krinsky, Itzhak & Robb, A Leslie, 1991. "Three Methods for Calculating the Statistical Properties of Elasticities: A Comparison," Empirical Economics, Springer, vol. 16(2), pages 199-209.
    5. Douglas Gollin & David Lagakos & Michael E. Waugh, 2014. "The Agricultural Productivity Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 939-993.
    6. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    7. Thiele, Holger & Brodersen, Claus M, 1999. "Differences in Farm Efficiency in Market and Transition Economies: Empirical Evidence from West to East Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 26(3), pages 331-347, August.
    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. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    2. Carson, Richard T. & Czajkowski, Mikołaj, 2019. "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 57-61.
    3. Karlygash Kuralbayeva, 2013. "Effects of carbon taxes in an economy with large informal sector and rural-urban migration," OxCarre Working Papers 125, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    4. Berthold Herrendorf & Todd Schoellman, 2015. "Why is Measured Productivity so Low in Agriculture?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(4), pages 1003-1022, October.
    5. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    6. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.
    7. Czajkowski, Mikołaj & Meade, Norman & Seroa da Motta, Ronaldo & Ortiz, Ramon Arigoni & Welsh, Mike & Blanc, Gleiciane Carvalho, 2023. "Estimating environmental and cultural/heritage damages of a tailings dam failure: The case of the Fundão dam in Brazil," Journal of Environmental Economics and Management, Elsevier, vol. 121(C).
    8. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    9. Czajkowski, Mikołaj & Zawojska, Ewa & Meade, Norman & da Motta, Ronaldo Seroa & Welsh, Mike & Ortiz, Ramon Arigoni, 2024. "On the inference about a willingness-to-pay distribution using contingent valuation data," Ecological Economics, Elsevier, vol. 222(C).
    10. Torres-Miralles, M. & Grammatikopoulou, I. & Rescia, A.J., 2017. "Employing contingent and inferred valuation methods to evaluate the conservation of olive groves and associated ecosystem services in Andalusia (Spain)," Ecosystem Services, Elsevier, vol. 26(PA), pages 258-269.
    11. Hussain, Jakir & Bernard, Jean-Thomas, 2017. "Regional productivity convergence: An analysis of the pulp and paper industries in U.S., Canada, Finland, and Sweden," Journal of Forest Economics, Elsevier, vol. 28(C), pages 49-62.
    12. J. G. Hirschberg, J. N. Lye & D. J. Slottje, 2008. "Confidence Intervals for Estimates of Elasticities," Department of Economics - Working Papers Series 1053, The University of Melbourne.
    13. David S. Bullock & Klaus Salhofer & Jukka Kola, 1999. "The Normative Analysis of Agricultural Policy: A General Framework and Review," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 512-535, September.
    14. Poe, Gregory L. & Giraud, Kelly L. & Loomis, John B., 2001. "Simple Computational Methods for Measuring the Difference of Empirical Distributions: Application to Internal and External Scope Tests in Contingent Valuation," Staff Papers 121130, Cornell University, Department of Applied Economics and Management.
    15. Desmet, Klaus & Rossi-Hansberg, Esteban, 2015. "On the spatial economic impact of global warming," Journal of Urban Economics, Elsevier, vol. 88(C), pages 16-37.
    16. Czajkowski, Mikołaj & Ahtiainen, Heini & Artell, Janne & Meyerhoff, Jürgen, 2017. "Choosing a Functional Form for an International Benefit Transfer: Evidence from a Nine-country Valuation Experiment," Ecological Economics, Elsevier, vol. 134(C), pages 104-113.
    17. John Dagsvik & Tom Kornstad & Terje Skjerpen, 2013. "Labor force participation and the discouraged worker effect," Empirical Economics, Springer, vol. 45(1), pages 401-433, August.
    18. Yujin Jeong & Jordan I. Siegel & Sophie Yu‐Pu Chen & Whitney K. Newey, 2020. "A recentering approach for interpreting interaction effects from logit, probit, and other nonlinear models," Strategic Management Journal, Wiley Blackwell, vol. 41(11), pages 2072-2091, November.
    19. Nicholas E. Piggott, 2003. "Measures of precision for estimated welfare effects for producers from generic advertising," Agribusiness, John Wiley & Sons, Ltd., vol. 19(3), pages 379-391.
    20. Ghazalian, Pascal & Tamini, Lota & Larue, Bruno & Gervais, Jean-Philippe, 2007. "A Gravity approach to evaluate the significance of trade liberalization in vertically-related goods in the presence of non-tariff barriers," MPRA Paper 2744, University Library of Munich, Germany.

    More about this item

    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:fgv:epgrbe:v:76:y:2022:i:1:a:81975. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/epgvfbr.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.