Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2478
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dc.contributor.authorDanso-Abbeam, Gideon-
dc.contributor.authorBosiako, Joshua Antwi-
dc.contributor.authorEhiakpor, Dennis Sedem-
dc.contributor.authorMabe, Franklin Nantui-
dc.date.accessioned2019-10-21T11:20:32Z-
dc.date.available2019-10-21T11:20:32Z-
dc.date.issued2018-
dc.identifier.issn2332-2039-
dc.identifier.urihttp://hdl.handle.net/123456789/2478-
dc.description.abstractThis study aims to identify the determinants of adoption of improved maize variety (IMV) among farmers in the northern region of Ghana and subsequently assess the factors influencing the intensity of IMV adoption. The study used two econometric techniques to address its objectives. Firstly, a multinomial logit was employed to identify factors affecting the adoption of IMV. Secondly, Tobit regression was used to analyze the determinants of the intensity of IMV adoption. A fractional regression model through the procedure proposed by Papke and Wooldridge was also used to test the robustness of the results obtained from the Tobit model. Results from the study revealed that variables such as the age of the household head, household size, level of experience, farm workshop attendance, the number of years in formal education, access to agricultural credit, membership of a farmer-based organization, availability of labor and extension contacts influence theen_US
dc.language.isoenen_US
dc.publisherCogent OAen_US
dc.relation.ispartofseriesVol. 5;Issue 1-
dc.subjectAdoptionen_US
dc.subjectImproved maize varietyen_US
dc.subjectRelative risk ratioen_US
dc.subjectIntensityen_US
dc.subjectMultinomial logiten_US
dc.subjectTobit modelen_US
dc.titleADOPTION OF IMPROVED MAIZE VARIETY AMONG FARM HOUSEHOLDS IN THE NORTHERN REGION OF GHANAen_US
dc.typeArticleen_US
Appears in Collections:School of Applied Economics and Management Sciences

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