Modeling Effects of some Factors that Contribute to Cereals Yields in Nigeria using Toda-Yamamoto Techniques.

dc.contributor.authorGarba, M. K.
dc.contributor.authorAkanni, S. B.
dc.contributor.authorYahya, W. B.
dc.contributor.authorKareem, K. Y.
dc.contributor.authorAfolayan, R. B.
dc.date.accessioned2021-10-12T12:06:35Z
dc.date.available2021-10-12T12:06:35Z
dc.date.issued2020-03-20
dc.description.abstractIn this study, we employed the techniques of Toda-Yamamoto causality test to determine the direction of causality among Cereals Production (CP), Land used for Cereals Production (LP) and Cereal Yields (CY) in Nigeria for the period of 50 years (1966 to 2016).The maximum order of integration and optimal lag order of the series confirmed that VAR (2+1) model best fitted the data. Results from the fitted model estimates revealed that two year past values t-2 (2014 and 2015) of CP is the major determinant of CP series in current time period t (2016) while one year past value t-1 (2015) of CY and two year past values t-2 (2014 and 2015) of CP and LP are major determinants of CY series in current time period t (2016).The results of Toda-Yamamoto causality test showed that CY is Granger-caused by both CP and LP.en_US
dc.identifier.urihttps://www.slujst.com.ng/index.php/jst/issue/view/2
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/6604
dc.publisherSLU Journal of Science and Technology (SLUJST). Published by the Faculty of Natural and Applied Sciences, Sule Lamido University, Kafin-Hausa, Jigawa Stateen_US
dc.relation.ispartofseries1;1
dc.subjectCereals Productionen_US
dc.subjectOrder of Integrationen_US
dc.subjectOptimal Lag Orderen_US
dc.subjectToda-Yamamoto Causalityen_US
dc.subjectNigeriaen_US
dc.titleModeling Effects of some Factors that Contribute to Cereals Yields in Nigeria using Toda-Yamamoto Techniques.en_US
dc.typeArticleen_US

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