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Technical efficiency of Kansas arable crop farms: a local maximum likelihood approach

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  • Bouali Guesmi
  • Teresa Serra
  • Allen Featherstone

Abstract

The present study uses local maximum likelihood (LML) methods recently proposed by Kumbhakar et al. (2007) to assess the technical efficiency of arable crop Kansas farms. LML techniques overcome the most relevant limitations associated to mainstream parametric stochastic frontier models. Results suggest that Kansas farms reach technical efficiency levels on the order of 90%. These results are compared with another flexible efficiency assessment alternative: the deterministic data envelopment analysis (DEA).
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  • 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.
  • Handle: RePEc:bla:agecon:v:46:y:2015:i:6:p:703-713
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    File URL: http://hdl.handle.net/10.1111/agec.2015.46.issue-6
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    1. Martins-Filho, Carlos & Yao, Feng, 2007. "Nonparametric frontier estimation via local linear regression," Journal of Econometrics, Elsevier, vol. 141(1), pages 283-319, November.
    2. Christopher O’Donnell & Robert Chambers & John Quiggin, 2010. "Efficiency analysis in the presence of uncertainty," Journal of Productivity Analysis, Springer, vol. 33(1), pages 1-17, February.
    3. Rowland, William W. & Langemeier, Michael R. & Schurle, Bryan W. & Featherstone, Allen M., 1998. "A Nonparametric Efficiency Analysis For A Sample Of Kansas Swine Operations," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(1), pages 1-11, July.
    4. 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.
    5. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    6. 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.
    7. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 889-905, April.
    8. Sipilainen, Timo & Oude Lansink, Alfons G.J.M., 2005. "Learning in Organic Farming - An Application on Finnish Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24493, European Association of Agricultural Economists.
    9. Chakraborty, Kalyan & Misra, Sukant & Johnson, Phillip, 2002. "Cotton Farmers' Technical Efficiency: Stochastic and Nonstochastic Production Function Approaches," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(2), pages 211-220, October.
    10. Lohr, Luanne & Park, Timothy A., 2006. "Technical Efficiency of U. S. Organic Farmers: The Complementary Roles of Soil Management Techniques and Farm Experience," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 327-338, October.
    11. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    12. Serra, Teresa & Zilberman, David & Gil, Jose Maria, 2008. "Farms' technical inefficiencies in the presence of government programs," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), pages 1-20.
    13. Fan, Yanqin & Li, Qi & Weersink, Alfons, 1996. "Semiparametric Estimation of Stochastic Production Frontier Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 460-468, October.
    14. Teresa Serra & Barry Goodwin, 2009. "The efficiency of Spanish arable crop organic farms, a local maximum likelihood approach," Journal of Productivity Analysis, Springer, vol. 31(2), pages 113-124, April.
    15. Teresa Serra & Alfons Oude Lansink & Spiro E. Stefanou, 2010. "Measurement of Dynamic Efficiency: A Directional Distance Function Parametric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 752-763.
    16. John Ruggiero & Donald F. Vitaliano, 1999. "Assessing The Efficiency Of Public Schools Using Data Envelopment Analysis And Frontier Regression," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 321-331, July.
    17. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235.
    18. Kumbhakar, Subal C. & Park, Byeong U. & Simar, Leopold & Tsionas, Efthymios G., 2007. "Nonparametric stochastic frontiers: A local maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 137(1), pages 1-27, March.
    19. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    20. Khem R. Sharma & PingSun Leung & Halina M. Zaleski, 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 20(1), pages 23-35, January.
    21. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2001. "Technical efficiency of alternative farming systems: the case of Greek organic and conventional olive-growing farms," Food Policy, Elsevier, vol. 26(6), pages 549-569, December.
    22. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    23. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    24. 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.
    25. 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.
    26. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 889-905, April.
    27. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521622448.
    28. Sharma, Khem R. & Leung, PingSun & Zaleski, Halina M., 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, Blackwell, vol. 20(1), pages 23-35, January.
    29. Tzouvelekas, Vangelis & Pantzios, Christos J. & Fotopoulos, Christos, 2002. "Empirical Evidence of Technical Efficiency Levels in Greek Organic and Conventional Farms," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 3(2), pages 1-12, August.
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    Cited by:

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    2. Soares, Pedro & Spolador, Humberto Francisco Silva, 2019. "Eficiência técnica da produção de milho no estado de São Paulo: uma abordagem por metafronteira estocástica," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 57(4), January.
    3. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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