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In a bid to strengthen the agricultural sector in Nigeria, the Kwara State Government invited thirteen Zimbabwean farmers to participate in agricultural production in Kwara State in 2004. The main objective of this study therefore was to examine the effect of the activities of these foreign farmers on local farmers’ poverty status. A questionnaire was administered on the heads of farming households. A total of 240 respondents were used for the study, which was comprised of 120 contact and 120 non-contact heads of farming households. The analytical tools employed included descriptive statistics and the Foster, Greer and Thorbecke method. The result indicated that the non-contact farming households are poorer than the contact farming households. Using the disaggregated poverty profile, poverty is most severe among the age group of above 60 years. The intensity of poverty is also higher among the married group than the singles. Based on the education level, poverty seems to be most severe among those without any formal education. It is therefore recommended that a minimum of secondary school education should be encouraged among the farming households to prevent higher incidence of poverty in the study area.
Nigeria, like most African countries, has engaged in agricultural liberalization since 1986 in the hope that reforms emphasizing price incentives will encourage producers to respond. Thus far, the reforms seem to have introduced greater uncertainty into the market given increasing rates of price volatility. This study amongst other things therefore seeks to determine and model the responsiveness of rice supply to price risk in Nigeria. Statistical information on domestic and imported quantities of rice was obtained for 41 years (1970 to 2011) from various sources, such as the Food and Agriculture Organization (FAO) database, Federal Ministry of Agriculture statistical bulletins, Central Bank of Nigeria statistical bulletins and National Bureau of Statistic (NBS). Data were analyzed using equilibrium output supply function, co-integration models, and vector autoregressive distributed lag model. Rice importation was statistically significant and changes in output were also responsive to changes in price. The results indicate that producers are more responsive not only to price and non-price factor but also to price risk and exchange rate. It is therefore imperative to reduce the effects of price risk as to increase the response of producer to supply by bridging the gap in production.
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