Browsing by Author "Kayode Ayantoye"

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    AGRICULTURAL LAND-USE SYSTEMS AND CLIMATE CHANGE AMONG SMALL FARMERS IN NIGERIA
    (Proceedings of the Satellite conference of the International Association for Statistical Education (IASE), August 2019, Kuala Lumpur, Malaysia., 2019-08-10) Kayode Ayantoye; Apata T. G.; Idowu S. O.; G. Y. N’Guessan
    In sub-Saharan-Africa (SSA), agriculture land-use supports the livelihoods of the majority of people. Landuse for agricultural-activity is an economic-activity that is highly dependent upon weather and climate that produce food and fibre necessary to sustain human life. Hence, land-use for agriculture is expected to be vulnerable to climate variability. This paper examines this relationship. The paper presents data and generated evidence-based decision making under risk and uncertainty as influenced by climate change and its effects on agricultural land-use/outputs. Farm-level cost-route survey of cross-sectional national-data of 800 respondents was used for analysis. Data were analyzed and presented using the tools of descriptive statistics, trans-logarithms model and multivariate probit model (MVP). The study indicated a strong relationship between efficient use of agricultural-land and adaptive-processes to climate-change. Thus, providing data and analysis that strengthen policy decisions on land-use and climate change. Hence, policies of promoting and motivating sustainable land-use management need to be entrenched.
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    Determinants of livelihood diversification among rural households in Kwara State, Nigeria
    (International Journal of Advance Agricultural Research, 2017-09-15) Kayode Ayantoye; Amao J. O.; Fanifosi G. E.
    The study presented empirical findings on the factors determining livelihood diversification among rural households in Kwara State, Nigeria. The study used multistage random sampling techniques and data were collected using well-structured questionnaire administered on a total sample of 132 households for the analysis. Distributive statistics, Herfindahl index and Tobit regression model were used to analyse the data. Most of the respondents are males. About 68.9% were married with the average age of 41.15%. The study showed that 68.9% of the respondents were married. Respondents who engaged in livelihood diversification had different household sizes; the majority of the respondents (66.7%) had a household ranging from 1‒5 with a mean household size of 5. The result further showed that 62.12% of the respondents moderately diversify their means of livelihood, while 34.85% did not diversify. Gender, marital status, poverty status, primary occupation and membership of association were significant factors that influenced livelihood diversification of the rural households in the study area. Therefore, there is need to sensitize rural households to diversify their income source in other to improve their livelihood.