Effects of Climate and Weather Variability on Adoption of Sustainable Land Management Technologies in Kenya
Michael Ndwiga Jairo
This paper investigates the impact of climate and weather variability and other covariates on adoption and intensity of adoption of sustainable land management (SLM) technologies in Kenya. Household survey data combined with climate data that had been interpolated at household level was used in the analysis. The paper used trivariate regression and negative binomial-logit hurdle models to analyze adoption and intensity of adoption of SLM technologies respectively. The results underscores the importance of household characteristics, resource constraints, farm characteristics and market access in influencing adoption and intensity of adoption of SLM technologies. Further, the results accentuate the importance of climate and weather variability on adoption and intensity of adoption of SLM technologies. Climate variability was found to positively influence adoption and intensity of adoption while weather variability positively influenced adoption of SLM technologies. The result suggests that government should promote adoption of specific SLM technologies in specific climatic zones. In drier areas where temperatures are expected to rise, government should encourage adoption of SLM technologies that conserve water while in regions where precipitation is high SLM technologies that reduce soil erosion should be encouraged. In addition a multidisciplinary approach should be used to gather knowledge on adoption of SLM technologies in different climatic zones and knowledge shared with farmers and local leaders in order to ensure that appropriate SLM technologies are adopted. Moreover, there is need to design policies that increase access and ownership of productive resources by female headed households and policies that encourage birth control.
Project dates 2013-2015
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