Kwara Case Study
3.1 AREA OF STUDY
Kwara State was created in May (1967). It comprises of 16 Local Government Area with a population estimate of about 2.3 million people (2006 census). The state shares boundaries with Oyo, Ondo and Osun to the South, Kebbi and Niger to the North, Kogi to the East and Republic of Benin on the West side. The daily temperature ranges between 210c to 330c. The State has two distinct climate seasons, the West (Rainy) and the Dry (Harmattan) seasons (Kwara Ministry of Agriculture 2004). The rainfall pattern across the State extends between the months of March to October with a short break in August, while the dry seasons falls between November and February. These climatic conditions as well as fertile soil make the State favourable
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The annual rainfall ranges between 1000mm and 1500mm. average temperature ranges between 300C and 350C. It also has an estimated figure of 203, 833 farm families with the majority living in rural areas (KWADP 1996).
3.2 POPULATION OF THE STUDY, SAMPLING TECHNIQUE AND SAMPLE SIZE Kwara State is divided into four (4) zones by the Kwara State Agricultural Development Project (KWADP) in consonance with ecological characteristics cultural practices and projects administrative convenience.
Zone A: Baruteen and Kaima Local Government Areas.
Zone B: Edu and Patigi Local Government
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Identity various sources of risk among rice farmers in the study area PRIMARY DATA on various sources of risk among rice farmers Descriptive statistics (Multiple response)
2. Determine the farmer’s attitude towards risk in the study Area. Input output data on rice production is require Estimate a risk aversion index for each farmer using a hybrid equation of cobb. Douglas and a (utility function model) were used (Johnson and Covello 1987).
3. Examine the factors influencing farmer’s attitude towards the risk in rice production Data on risk aversion index and socio-economic and demographic variables like age, household size, leadership position, proportion of rice income. The tobit model was used in analysis the data.
4. Profile farmer’s strategies of combating the risks associated with rice farming in the study area Primary Data on various strategies for combating the risk associated with rice farming like preventive mitigation and coping strategies. Descriptive statistics (Multiple
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