Technological innovation and efficiency in the Nigerian maize sector : parametric stochastic and non-parametric distance function approaches

dc.contributor.authorAye, Goodness Chioma
dc.contributor.authorMungatana, Eric Dada
dc.contributor.emaileric.mungatana@up.ac.zaen_US
dc.date.accessioned2012-09-19T06:31:13Z
dc.date.available2012-12-14T00:20:04Z
dc.date.issued2011
dc.description.abstractThe current world food crisis has necessitated alternative policy actions in most countries, including increased investment in agricultural research and development. This study uses duality theory to obtain allocative and cost efficiency from the parametric stochastic distance function, and results are then compared to estimates from the non-parametric distance function. The study further evaluates the impact of technological innovations and other policy variable on technical, allocative and cost efficiency from both approaches in a second-stage endogeneity-corrected Tobit regression model. Mean technical, allocative and cost efficiency ranges from 80.1 per cent to 86.7 per cent, from 57.8 per cent to 73.8 per cent, and from 50.3 per cent to 62.3 per cent respectively. The analysis of technical, alloctive and cost efficiency with respect to technological innovation and other policy factors is robust. Results show that policies aimed at maize technology development and its timely dissemination, as well as improvements in education and access to credit and extension, could promote technical, allocative and cost efficiency, reduce yield variability, enhance farm income and food security and reduce poverty in Nigeria.en_US
dc.description.sponsorshipThe German Academic Exchange Service (DAAD) fellowship awarden_US
dc.description.urihttp://www.tandfonline.com/loi/ragr20en_US
dc.identifier.citationAye, GC & Mungatana, ED 2011, 'Technological innovation and efficiency in the Nigerian maize sector : parametric stochastic and non-parametric distance function approaches', Agrekon, vol. 50, no. 4, pp. 1-24.en_US
dc.identifier.issn0303-1853 (print)
dc.identifier.issn2078-0400 (online)
dc.identifier.other10.1080/03031853.2011.617870
dc.identifier.urihttp://hdl.handle.net/2263/19802
dc.language.isoenen_US
dc.publisherRoutledgeen_US
dc.rights© Taylor & Francis. This is an electronic version of an article published in Agrekon, vol. 50, no. 4, pp.1- 24, 2011. Agrekon is available online at: http://www.tandfonline.com/loi/ragr20.en_US
dc.subjectTechnologyen_US
dc.subjectEfficiencyen_US
dc.subjectMaizeen_US
dc.subjectParametricen_US
dc.subjectnon-parametricen_US
dc.subjectDistance functionen_US
dc.subjectNigeriaen_US
dc.titleTechnological innovation and efficiency in the Nigerian maize sector : parametric stochastic and non-parametric distance function approachesen_US
dc.typePostprint Articleen_US

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