Abstract
Objective: The objective of this study was to determine how resource allocation influences climate-smart agriculture projects in Laikipia County, Kenya. Theoretical Framework: Pareto Efficiency Theory states that at a certain level, it is not possible to utilize more resources to improve one party, without jeopardizing the other party. The study sought to heighten the level of food production to guarantee food security without threatening the environment. Method: A concurrent mixed method approach that adopted the descriptive cross-sectional survey and correlational design was employed to study two World Bank-sponsored Kenya Climate Smart Agriculture projects. Stratified and Simple random sampling were employed to get a sample of 225 small-scale farmers and purposeful sampling identified four key informants. Data was collected using questionnaires and an interview guide and analyzed using descriptive, inferential, and content data analysis techniques. Results and Discussion: The composite mean and standard deviation of the respondents' opinions on resource allocation were 3.52 and 1.143, respectively. The correlation coefficient of resource allocation and the performance of climate-smart agriculture projects was weak, with r=-0.220 and p-value p=0.000<0.05. Therefore, though resource allocation is a crucial factor in food production, judicious and effective resource allocation is critical to realizing the full potential of the projects. Research Implications: Consequently, it is critical to have policies that promote the effective allocation of public and private goods to promote food production coupled with enhanced healthy ecology. Originality/Value: This study contributes to the literature by providing reliable and triangulated empirical data through authentic methodology enhancing suitability for data generalisability and replicability. The relevance and value of this research is evidenced by the need to promote food security in a healthy ecology.
Published Version
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