IDEAS home Printed from https://ideas.repec.org/p/ags/aesc12/134961.html
   My bibliography  Save this paper

Estimating technical efficiency under technological heterogeneity in Hungarian crop sector

Author

Listed:
  • Baráth, Lajos
  • Ferto, Imre

Abstract

Technological heterogeneity is an important issue in studies of agricultural production. We assume that this is much more serious in transition countries, since the agricultural sector in these countries is characterized by the presence of even more different technologies and structures. Previous studies address the issue of production heterogeneity in developed countries; however, there is a clear lack in the literature concerning the effect of different technologies in transition countries. There are two common approaches to estimate different technologies: the most common one is to split the sample into groups based on some a priori information; an alternative method is the latent class models. In the present paper both approaches are used to identify different technologies and to estimate technical efficiency. It seems to be that the LCM model identified better technological differences and separated better the effect of heterogeneity and technical efficiency.

Suggested Citation

  • Baráth, Lajos & Ferto, Imre, 2012. "Estimating technical efficiency under technological heterogeneity in Hungarian crop sector," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134961, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc12:134961
    DOI: 10.22004/ag.econ.134961
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/134961/files/Lajos_Bar_th_paper_AES_BLFI.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.134961?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. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(2), pages 231-250, June.
    2. 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.
    3. Lajos Zoltan Bakucs & Laure Latruffe & Imre Fertő & Jozsef Fogarasi, 2010. "The impact of EU accession on farms' technical efficiency in Hungary," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 165-175.
    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. Ioannis Skevas, 2019. "A Hierarchical Stochastic Frontier Model for Efficiency Measurement Under Technology Heterogeneity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 513-524, September.
    2. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
    3. Zoltan Bakucs & Imre Fertő & József Fogarasi & Laure Latruffe & Yann Desjeux & Eduard Matveev & Sonia Marongiu & Mark Dolman & Rafat Soboh, 2011. "EU farms’ technical efficiency and productivity change in 1990 – 2006 [Efficacité technique et changement de productivité des exploitations agricoles européennes 1990-2006]," Post-Print hal-02808334, HAL.
    4. Lajos Baráth & Imre Fertő & Heinrich Hockmann, 2020. "Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-Producing Farms," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    5. Antonio Alvarez & Carlos Arias, 2014. "A selection of relevant issues in applied stochastic frontier analysis," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 3-11.
    6. Ioannis Skevas, 2023. "A novel modeling framework for quantifying spatial spillovers on total factor productivity growth and its components," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1221-1247, August.
    7. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    8. Skevas, Ioannis & Emvalomatis, Grigorios & Brümmer, Bernhard, 2018. "Productivity growth measurement and decomposition under a dynamic inefficiency specification: The case of German dairy farms," European Journal of Operational Research, Elsevier, vol. 271(1), pages 250-261.
    9. Miguel Angel Orduño Torres & Zein Kallas & Selene Ivette Ornelas Herrera & Bouali Guesmi, 2019. "Is Technical Efficiency Affected by Farmers’ Preference for Mitigation and Adaptation Actions against Climate Change? A Case Study in Northwest Mexico," Sustainability, MDPI, vol. 11(12), pages 1-15, June.
    10. Fertő, Imre & Baráth, Lajos, 2013. "Heterogenitás és technikai hatékonyság - a magyar specializált szántóföldi növénytermesztő üzemek esete [Heterogeneity and technical efficiency - the case of Hungarys specialized arable crop produc," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 650-669.
    11. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2022. "Modeling heterogeneous technologies in the presence of sample selection: The case of dairy farms and the adoption of agri‐environmental schemes in France," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 422-438, May.
    12. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    13. Travis A. Smith & Craig E. Landry, 2021. "Household Food Waste and Inefficiencies in Food Production," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 4-21, January.
    14. Jerzy Marzec & Andrzej Pisulewski, 2020. "Pomiar efektywności zróżnicowanych technologicznie gospodarstw rolnych w Unii Europejskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 111-137.
    15. del Corral, J. & Pérez, J.A. & Roibás, D., 2010. "The impact of land fragmentation on milk production," Efficiency Series Papers 2010/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    16. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    17. Gatti, Nicolas & Lema, Daniel & Brescia, Victor, 2015. "A Meta-Frontier Approach to Measuring Technical Efficiency and Technology Gaps in Beef Cattle Production in Argentina," 2015 Conference, August 9-14, 2015, Milan, Italy 211647, International Association of Agricultural Economists.
    18. Juan Cabas Monje & Bouali Guesmi & Amer Ait Sidhoum & José María Gil, 2023. "Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 688-703, October.
    19. Bakucs, Lajos Zoltan & Ferto, Imre & Latruffe, Laure & Desjeux, Yann & Soboh, Rafat & Dolman, Mark, 2011. "Comparative Analysis of Technical Efficiency in European Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114235, European Association of Agricultural Economists.
    20. Alvarez, Antonio & del Corral, Julio & Tauer, Loren W., 2012. "Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 41(3), pages 275-285, December.

    More about this item

    Keywords

    Crop Production/Industries; 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:aesc12:134961. 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/aesukea.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.