IDEAS home Printed from https://ideas.repec.org/p/ags/aare94/148110.html
   My bibliography  Save this paper

Identification of Factors which Influence the Technical Inefficiency of Indian Farmers

Author

Listed:
  • Coelli, Tim J.
  • Battese, George E.

Abstract

The agricultural production of Indian farmers is investigated using a stochastic frontier production function which incorporates a model for the technical inefficiency effects. Farm-level data from the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) are used. Variables considered in the model for the inefficiency effects include the age and level of education of the farmers, farm size and the year of observation. The parameters of the stochastic frontier production function are estimated simultaneously with those involved in the model for the inefficiency effects. This approach differs from the usual practice of predicting farm-level inefficiency effects and then regressing these upon various factors in a second-stage of modelling. The results indicate that the above factors do have a significant influence upon the inefficiency effects of farmers in two of the three villages considered.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Coelli, Tim J. & Battese, George E., 1994. "Identification of Factors which Influence the Technical Inefficiency of Indian Farmers," 1994 Conference (38th), February 8-10, 1994, Wellington, New Zealand 148110, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare94:148110
    DOI: 10.22004/ag.econ.148110
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/148110/files/1994-04-06-08.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.148110?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
    2. 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.
    3. Bardhan, Pranab K, 1973. "Size, Productivity, and Returns to Scale: An Analysis of Farm-Level Data in Indian Agriculture," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1370-1386, Nov.-Dec..
    4. A. Parikh & K. Shah, 1994. "Measurement Of Technical Efficiency In The North‐West Frontier Province Of Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 132-138, January.
    5. 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.
    6. 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.
    7. 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.
    8. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    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. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    12. 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.
    13. 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.
    14. Battese, George E. & Coelli, Tim J. & Colby, T.C., 1989. "Estimation of Frontier Production Functions and the Efficiencies of Indian Farms Using Panel Data from ICRISAT's Village Level Studies," 1989 Conference (33rd), February 7-9, 1989, Christchurch, New Zealand 144383, Australian Agricultural and Resource Economics Society.
    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. 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.
    2. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    3. Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    4. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    5. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    6. 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.
    7. Carlo Altomonte & Marcella Nicolini & Armando Rungi & Laura Ogliari, 2010. "Assessing the Competitive Behaviour of Firms in the Single Market: A Micro-based Approach," European Economy - Economic Papers 2008 - 2015 409, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    8. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    9. Lachaal, Lassaad & Chebil, Ali & Dhehibi, Boubaker, 2004. "A Panel Data Approach to the Measurement of Technical Efficiency and its Determinants: Some Evidence from the Tunisian Agro-Food Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(1), pages 1-9, January.
    10. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    11. Kashiwagi, Kenichi & Mtimet, Nadhem & Zaibet, Lokman & Nagaki, Masakazu, 2010. "Technical efficiency of olive oil manufacturing and efficacy of modernization programme in Tunisia," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96195, African Association of Agricultural Economists (AAAE).
    12. Nguyen Hung Anh & Wolfgang Bokelmann & Do Thi Nga & Nguyen Van Minh, 2019. "Toward Sustainability or Efficiency: The Case of Smallholder Coffee Farmers in Vietnam," Economies, MDPI, vol. 7(3), pages 1-25, July.
    13. Phu Nguyen-Van & Nguyen To-The, 2016. "Technical efficiency and agricultural policy: evidence from the teaproduction in Vietnam," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 97(3), pages 173-184.
    14. Vangelis Tzouvelekas & Konstantinos Giannakas & Peter Midmore & Konstantinos Mattas, 1997. "Technical efficiency measures for olive-growing farms in Crete, Greece," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 3(2), pages 154-169, May.
    15. Madau, Fabio A., 2011. "Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).
    16. 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.
    17. Gian Carlo Scarsi, 1999. "Local Electricity Distribution in Italy: Comparative Efficiency Analysis and Methodological Cross-Checking," Working Papers 1999.16, Fondazione Eni Enrico Mattei.
    18. 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.
    19. Dhehibi, Boubaker & Telleria, Roberto & Aw-Hassan, Aden & Hatem Mohamed, Saad & Ziadat, Feras & Wu, Weicheng, 2015. "Impacts of Soil Salinity on the Productivity of Al-Musayyeb Small Farms in Iraq: An Examination of Technical, Economic, and Allocative, Efficiency," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-14.
    20. Afanasiev, Mikhail, 2007. "A Stochastic Frontier Model of a Scientist’s Production Potential," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 6(2), pages 36-59.

    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:aare94:148110. 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/aaresea.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.