IDEAS home Printed from
   My bibliography  Save this paper

Technological Innovation and Efficiency in the Nigerian Maize Sector: Parametric Stochastic and Non-parametic Distance Function Approaches


  • Aye, Goodness C.
  • Mungatana, Eric D.


The current food crisis all over the globe has necessitated alternative policy actions by various stakeholders in almost all countries of the world. Consequently, efforts are focused on increased investment in agricultural research and development. The study evaluates impact of technological innovations on estimates of technical, allocative and cost efficiency from a parametric stochastic and non-parametric distance functions. Inefficiency effects are modelled in a second stage endogeniety-corrected Tobit regression model as a function of technological innovation and other policy variables. The results from both approaches show there is substantial technical, allocative and cost inefficiency in maize production and that analysis of technical, allocative and cost efficiency with respect to technological innovation and other policy factors are robust. Our results show that policies aimed at maize technology development and their timely dissemination, improvement in education, access to credit and extension among others could promote technical, allocative and cost efficiency, reduce yield variability, enhance farm income, food security and reduce poverty in Nigeria.

Suggested Citation

  • Aye, Goodness C. & Mungatana, Eric D., 2010. "Technological Innovation and Efficiency in the Nigerian Maize Sector: Parametric Stochastic and Non-parametic Distance Function Approaches," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95965, African Association of Agricultural Economists (AAAE);Agricultural Economics Association of South Africa (AEASA).
  • Handle: RePEc:ags:aaae10:95965

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. D. S. Prasada Rao & Bart van Ark, 2013. "Introduction," Chapters,in: World Economic Performance, chapter 1, pages 1-6 Edward Elgar Publishing.
    2. Alene, Arega D. & Zeller, Manfred, 2005. "Technology adoption and farmer efficiency in multiple crops production in eastern Ethiopia: A comparison of parametric and non-parametric distance functions," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 6(1), January.
    3. Anupama, J. & Singh, R.P. & Kumar, Ranjit, 2005. "Technical Efficiency in Maize Production in Madhya Pradesh: Estimation and Implications," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 18(2).
    4. Daniel SolĂ­s & Boris E. Bravo-Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219.
    5. Herrero, Ines, 2005. "Different approaches to efficiency analysis. An application to the Spanish Trawl fleet operating in Moroccan waters," European Journal of Operational Research, Elsevier, vol. 167(1), pages 257-271, November.
    6. Okoye, B.C & Onyenweaku, C.E & Asumugha, G.N, 2006. "Allocative Efficiency of Small-Holder Cocoyam Farmers in Anambra State, Nigeria," MPRA Paper 17362, University Library of Munich, Germany.
    7. Mariano, Marc Jim & Villano, Renato A. & Fleming, Euan M. & Acda, Rachelle, 2010. "Metafrontier Analysis Of Farm-Level Efficiencies And Environmental-Technology Gaps In Philippine Rice Farming," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59099, Australian Agricultural and Resource Economics Society.
    8. Richard Smith & Richard Blundell, 1983. "An Exogeneity Test for the Simultaneous Equation Tobit Model With an Application to Labour Supply," Working Papers 546, Queen's University, Department of Economics.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item


    technology; efficiency; maize; parametric; non-parametric; distance function; Nigeria; Crop Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:aaae10:95965. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.