IDEAS home Printed from https://ideas.repec.org/p/upf/upfgen/503.html
   My bibliography  Save this paper

Measuring and explaining farm inefficiency in a panel data set of mixed farms

Author

Listed:

Abstract

This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific costs and overhead costs are introduced into the model as inputs. Stochastic frontier estimates are compared with those obtained using a linear programming method using a two-stage approach. The specification of the translog stochastic frontier model appears as an appropriate representation of the data, technical change was rejected and the technical inefficiency effects were statistically significant. The mean technical efficiency in the period analyzed was estimated to be 64.0%. Farm inefficiency levels were found significantly at 5% level and positively correlated with the number of economic size units.

Suggested Citation

  • Jaume Puig & Josep M. Argilés, 2000. "Measuring and explaining farm inefficiency in a panel data set of mixed farms," Economics Working Papers 503, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:503
    as

    Download full text from publisher

    File URL: https://econ-papers.upf.edu/papers/503.pdf
    File Function: Whole Paper
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ferrantino, Michael J. & Ferrier, Gary D., 1995. "The technical efficiency of vacuum-pan sugar industry of India: An application of a stochastic frontier production function using panel data," European Journal of Operational Research, Elsevier, vol. 80(3), pages 639-653, February.
    2. 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(3), pages 1-27, December.
    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. Jean-Louis Brangeon & Guenhaël Jégouzo & Bernard Roze, 1994. "Les revenus agricoles négatifs," Économie rurale, Programme National Persée, vol. 224(1), pages 32-38.
    5. 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(1), pages 88-101, April.
    6. George E. Battese & Sohail J. Malik & Manzoor A. Gill, 1996. "An Investigation Of Technical Inefficiencies Of Production Of Wheat Farmers In Four Districts Of Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 37-49, January.
    7. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    8. Weiming Tian & Guang Wan, 2000. "Technical Efficiency and Its Determinants in China's Grain Production," Journal of Productivity Analysis, Springer, vol. 13(2), pages 159-174, March.
    9. 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.
    10. 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.
    11. William E. Foster & Gordon C. Rausser, 1991. "Farmer Behavior under Risk of Failure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 276-288.
    12. Allen, Douglas W & Lueck, Dean, 1998. "The Nature of the Farm," Journal of Law and Economics, University of Chicago Press, vol. 41(2), pages 343-386, October.
    13. Kumbhakar, Subal C. & Heshmati, Almas & Hjalmarsson, Lennart, 1997. "Temporal patterns of technical efficiency: Results from competing models," International Journal of Industrial Organization, Elsevier, vol. 15(5), pages 597-616, August.
    14. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    15. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    16. Schmitt, Gunther, 1991. "Why Is the Agriculture of Advanced Western Economies Still Organized by Family Farms? Will This Continue to Be So in the Future?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 18(3-4), pages 443-458.
    17. Shujie Yao & Zinan Liu, 1998. "Determinants of Grain Production and Technical Efficiency in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 171-184, June.
    18. Luther G. Tweeten, 1969. "Theories Explaining the Persistence of Low Resource Returns in a Growing Farm Economy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(4), pages 798-817.
    19. James J. Wadsworth & Boris E. Bravo-Ureta, 1992. "Financial performance of New England dairy farms," Agribusiness, John Wiley & Sons, Ltd., vol. 8(1), pages 47-56.
    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. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    2. Bouali Guesmi & Teresa Serra, 2015. "Can We Improve Farm Performance? The Determinants of Farm Technical and Environmental Efficiency," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 692-717.
    3. Bouali Guesmi & Teresa Serra & Allen Featherstone, 2015. "Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(6), pages 703-713, November.
    4. Saldias, Rodrigo & von Cramon-Taubadel, Stephan, 2012. "Access to credit and the determinants of technical inefficiency among specialized small farmers in Chile," DARE Discussion Papers 1211, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    5. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Andreu, Monica Lopez & Grunewald, Orlen C., 2006. "Sources of Inefficiency in Kansas Farms," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35283, Southern Agricultural Economics Association.

    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. Puig-Junoy, Jaume & Argiles, Josep M., 2004. "The influence of management accounting use on farm inefficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(2), pages 1-20, August.
    2. 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.
    3. Hong, Yu & Heerink, Nico & Zhao, Minjuan & van der Werf, Wopke, 2019. "Intercropping contributes to a higher technical efficiency in smallholder farming: Evidence from a case study in Gaotai County, China," Agricultural Systems, Elsevier, vol. 173(C), pages 317-324.
    4. Thiam, Abdourahmane & Bravo-Ureta, Boris E. & Rivas, Teodoro E., 2001. "Technical efficiency in developing country agriculture: a meta-analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 235-243, September.
    5. Basanta R. Dhungana & Peter L. Nuthall & Gilbert V. Nartea, 2004. "Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 347-369, June.
    6. Gabriela Pérez Quesada, 2017. "Technical efficiency of dairy farms in Uruguay: a stochastic production frontier analysis," Documentos de Trabajo (working papers) 0517, Department of Economics - dECON.
    7. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2011. "Productivity and Subsidies in European Union Countries: An Analysis for Dairy Farms Using Input Distance Frontiers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114396, European Association of Agricultural Economists.
    8. Pierani, Pierpaolo & Rizzi, Pier Luigi, 2003. "Technology and efficiency in a panel of Italian dairy farms: an SGM restricted cost function approach," Agricultural Economics, Blackwell, vol. 29(2), pages 195-209, October.
    9. repec:ags:bdbjaf:258303 is not listed on IDEAS
    10. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    11. Alene, Arega D. & Manyong, Victor M. & Gockowski, James, 2006. "The production efficiency of intercropping annual and perennial crops in southern Ethiopia: A comparison of distance functions and production frontiers," Agricultural Systems, Elsevier, vol. 91(1-2), pages 51-70, November.
    12. Villano, Renato A. & Fleming, Euan M., 2004. "Analysis of Technical Efficiency in a Rainfed Lowland Rice Environment in Central Luzon Philippines Using a Stochastic Frontier Production Function with a Heteroskedastic Error Structure," Working Papers 12906, University of New England, School of Economics.
    13. Latruffe, Laure & Bravo-Ureta, Boris E. & Moreira, Victor H. & Desjeux, Yann & Dupraz, Pierre, 2012. "Productivity and Subsidies in the European Union: An Analysis for Dairy Farms Using Input Distance Frontiers," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126846, International Association of Agricultural Economists.
    14. Renato Villano & Euan Fleming, 2006. "Technical Inefficiency and Production Risk in Rice Farming: Evidence from Central Luzon Philippines," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 29-46, March.
    15. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    16. Chirwa Ephraim W., 2007. "Sources of Technical Efficiency among Smallholder Maize Farmers in Southern Malawi," Working Papers 172, African Economic Research Consortium, Research Department.
    17. Seyoum, E. T. & Battese, G. E. & Fleming, E. M., 1998. "Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa-Global 2000 project," Agricultural Economics, Blackwell, vol. 19(3), pages 341-348, December.
    18. repec:mth:jas888:v:7:y:2019:i:1:p:115-127 is not listed on IDEAS
    19. Goyal, S.K. & Suhag, K.S. & Pandey, U.K., 2006. "An Estimation of Technical Efficiency of Paddy Farmers in Haryana State of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(1), pages 1-15.
    20. Medhin, Haileselassie A. & Köhlin, Gunnar, 2008. "Soil Conservation and Small-Scale Food Production in Highland Ethiopia: A Stochastic Metafrontier Approach," RFF Working Paper Series dp-08-22-efd, Resources for the Future.
    21. Wasantha Athukorala & Clevo Wilson, 2012. "Groundwater overuse and farm-level technical inefficiency: evidence from Sri Lanka," School of Economics and Finance Discussion Papers and Working Papers Series 279, School of Economics and Finance, Queensland University of Technology.
    22. Bekele, Abate & Viljoen, Machiel F. & Ayele, Gezahegn & Ali, Syed, 2009. "Effect of Farm Size on Efficiency of Wheat Production in Moretna-Jirru District in Central Ethiopia," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 64(1), pages 1-11.

    More about this item

    Keywords

    Technical efficiency; stochastic frontier approach; agricultural economics; frontier productions; farm efficiency;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:upf:upfgen:503. 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: the person in charge (email available below). General contact details of provider: http://www.econ.upf.edu/ .

    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.