JOURNAL OF AGRICULTURAL EXTENSION AND RURAL ECONOMICS
Integrity Research Journals
Model: Open Access/Peer Reviewed
DOI: 10.31248/JAERE
Start Year: 2024
Email: jaere@integrityresjournals.org
Effect of climate-smart agricultural practices adoption on livelihood strategies of rice farmers' along Bakalori Irrigation Valley of Zamfara State, Nigeria
https://doi.org/10.31248/JAERE2025.016 | Article Number: 835C41D92 | Vol.2 (2) - April 2025
Received Date: 26 February 2025 | Accepted Date: 21 April 2025 | Published Date: 30 April 2025
Authors: Sulaiman Muhammad Gusau* and Yusuf Habibu
Keywords: Climate Smart Agricultural, rice farmers., Bakalori Irrigation Valley, Zamfara State.
Research on the adoption of climate-smart agriculture practices among rice farmers and their implications on the livelihood status of farmers in Zamfara State is very scant. This study, therefore, will bridge the existing gap in the literature by assessing the effect of climate-smart agricultural practice adoption on rice farmers' livelihood strategies in Zamfara State, Nigeria. Primary data were collected from a survey of 293 rice farmers across 12 selected Communities from three (3) Local Government Areas along the Bakalori irrigation valley of Zamfara State. The results show that the majority of the respondents were within 20-69 years of age and married with household sizes of between 1-27 persons. The finding of this study witnesses the existence of diverse livelihood activities in the study area. The result of the multinomial logit model indicates that among the hypothesized variables, education status, household size, size of farm holding, access to credit, and extension contact were the factors influencing livelihood strategies choice in the study area. The estimated multinomial logit model indicates a Pseudo R2 of 0.71, which implies that all the explanatory variables included in the model were able to explain about 71% of the variability in the livelihood strategies choice of the respondents. The likelihood ratio represented by chi-square statistics indicated the overall model is highly significant (p<0.00), which implies the strong explanatory power of the model. This study therefore recommends that there is a need to train rice farmers across the state on climate-smart agricultural practice adoption. The training can be carried out by extension agents during their regular visits to respondents. However, there is a need for improving the extension agents-farmer contact by the state governments.
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