CHALLENGES OF AGRICULTURAL ENTREPRENEURSHIP IN URBAN KANO, NIGERIA: A MULTINOMIAL LOGISTIC REGRESSION APPROACH

Ibrahim Musa Gwadabe

Abstract


This paper analysed the determinants of agricultural entrepreneurial intentions of the unemployed in urban Kano, Nigeria, using three different multinomial logistic models fitted to the primary data obtained via structured questionnaire from the 173 out of 200 targeted respondents. The results suggest that age explains the likelihood of starting or engaging in agricultural business. Gender and educational levels were not significant in explaining the likelihood of starting the business. Inadequate capital was found to explain the likelihood. Family and cognitive ability (self) as motivational variables were insignificant in explaining the likelihood. Risk tolerance was found to explain the likelihood of starting the agricultural business. Employment status was found significant in explaining the likelihood. Innovative ability was insignificant in explaining the likelihood. The paper recommends that entrepreneurial support should be geared toward young ages as against old age; as the size of youth unemployed outweighed that of old age in the study area. Promoters of entrepreneurship could use risk tolerance behaviour in selecting people to support. Capital should be made available by the concerned institutions to enable persons preparing to start the agricultural business to start. Researchers could also incorporate other predictor variables in analysing the determinants or employ different models, like nested models against non-nested models used in this study.

 

JEL: Q13, Q16, L26

 

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Keywords


agricultural, entrepreneurial, multinomial, logistic, likelihood

References


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