Climate change and Extension services' effects on farm level income in Malaysia : a time series analysis
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It is important to explore and understand the role of climate change adaptation and agricultural extension services at farm level to understand their effectiveness for outcomes like increase in farm-level income actions at the policy level. In the current study, has explored the impact of climate change adaptations and agricultural extension services on the farm level income of rice Paddy farmers in Malaysia. The study is based on collection of primary data from X farmers by use of structured interviews across Malaysia. The researcher has used logistic regression analysis to find the determinant of adaptation climate change and extension services and then use propensity score matching technique for estimation of causal impact of these factors on the from level income. the findings showed that extension services and climate change are vital factors that can affect the farm level outcomes like income and output. The differences in the education and experience levels, the dependence of the household on the crop income, resources and tenancy status of the farmers were found to be influence their status of adapting to the climate change initiatives. Whereas increased access to education and experience of farmers was related with the extension services of the farmers. The effect of the climate change and extension propensity scores were found to significantly influence the farm-level income. Moreover, the study indicates that adapters and non-adapters are both oriented towards extension services and these services include better outcomes for the performance of the crop and result in increased productivity. Overall, it can be summarized with that this study implies and increased need of farmers education, ease of access to extension services, information dissemination about role of climate change in farm outcomes and sustainable food production, local food security is needed to develop productivity in income and other crop level outcomes.
AgBioForum, 23(2): 72-81. ©2021 AgBioForum
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