Shitu, Adenipekun Gabriel and Olasehinde, Toba Stephen and Kolawole, A. E. (2018) Driver Factors of Climate Change Household Perception in Southwest, Nigeria: An Application of Interaction Probit Model. Asian Journal of Multidisciplinary Studies, 6 (1). pp. 48-56. ISSN 2321-8819; 2348-7186
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Abstract
Policymakers in many developing countries have been preoccupied with the task of ending hunger, achieving food security and improved nutrition and promote sustainable agriculture as one of the Sustainable Development Goals (SDGs). This paper examine the drivers’ factors that influence the perception of climate change in southwest Nigeria. A well structural questionnaire was used to obtain information from 180 farming households in the study area. Descriptive statistics and interaction probit regression were employed for data analyses. Result showed that (89.9%) of the male respondents perceived the change in climate while about 70% of the female respondents perceived that there is change in climate. Also all educated farming household perceived a change in climate. The binary response of climate change perception is regressed on a range of variables including age, gender, years of education, farmer experience, farm size, income, access to credit, contact with extension agent, access to climate information, increases in temperature, incidence of flood, pest and drought produced good fits as revealed by statistical significance (p<0.01) of the likelihood ratio chi square. This show the need to integrate interactions among household variables in activity-based predicting models. It was concluded that efforts at increasing awareness and perception of climate change by promoting education of farming households will go a long way in increasing the awareness and perception of the climate change in the study area.
Item Type: | Article |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Depositing User: | Mr DIGITAL CONTENT CREATOR LMU |
Date Deposited: | 25 Sep 2019 10:53 |
Last Modified: | 25 Sep 2019 10:53 |
URI: | https://eprints.lmu.edu.ng/id/eprint/2393 |
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