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Allocative Efficiency among Fadama Fluted Pumkin Farmers in Imo State, Nigeria

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  • Nwachukwu, Ifeanyi N.
  • Onyenweaku, Chris E.

Abstract

The study investigated the allocative efficiency among Fadama Fluted pumpkin farmers in Imo State, Nigeria. It specifically sought to analyze the Farmers’ socio-economic profile; estimate their allocative efficiency as well as its determinants. A multistage random sample of 120 Fadama Fluted Pumpkin farmers drawn from the three agricultural zones of the state was employed. A structured questionnaire was used to obtain information on socio-economic characteristics and other relevant variables. Allocative efficiency was deduced from the quotient between economic efficiency and technical efficiency scores and regressed against farm specific factors. The t-test statistic was employed in testing determinants of allocative efficiency. The descriptive statistical results showed that majority of the farmers are active small holders and literate with many years of farming experience. The enterprise was female dominated while household was large. The maximum likelihood estimation of the translog model revealed that allocative efficiency was influenced by education, farming experience, extension contact, credit access and household size. Given the mean allocative efficiency of 0.62, about 51.67% of the respondents are frontier farmers. Also, the average Fadama Fluted pumpkin farmer would require a cost savings of 37.37% in order to attain the status of the most allocative efficient producer. As more opportunities exist for improvement of allocative efficiency by the Fadama Farmers, the need to intensify the current family planning programme in Nigeria as well as eliminate extended bureaucratic processes associated with credit access cannot be over emphasized.

Suggested Citation

  • Nwachukwu, Ifeanyi N. & Onyenweaku, Chris E., 2009. "Allocative Efficiency among Fadama Fluted Pumkin Farmers in Imo State, Nigeria," MPRA Paper 27249, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:27249
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    File URL: https://mpra.ub.uni-muenchen.de/27249/1/MPRA_paper_27249.pdf
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    References listed on IDEAS

    as
    1. Nwachukwu, Ifeanyi Ndubuto & Onyenweaku, Chris/E, 2007. "Economic Efficiency Of Fadama Telfairia Production In Imo State Nigeria: A Translog Profit Function Approach," MPRA Paper 13469, University Library of Munich, Germany.
    2. Mubarik Ali & John C. Flinn, 1989. "Profit Efficiency Among Basmati Rice Producers in Pakistan Punjab," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 303-310.
    3. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
    4. 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.
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Fadama; Fluted Pumpkin; Allocative Efficiency;

    JEL classification:

    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

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