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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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Suggested Citation

  • 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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    Cited by:

    1. 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.
    2. Caleb I. Adewale & Elias Munezero & Elly K. Ndyomugyenyi & Basil Mugonola, 2024. "Determinants of technical efficiency of pig production systems in northern Uganda: a Stochastic Frontier approach," SN Business & Economics, Springer, vol. 4(8), pages 1-21, August.
    3. 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.
    4. Yu Sun & Ruijuan Du & Xinmin Liu & Xiumei Xu, 2023. "Regional differences and threshold effects of labor transfer affecting the technical efficiency of China’s agricultural industry: A case study of the apple industry," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-18, February.
    5. 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.

    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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