RESOURCE CAPACITY PLANNING AND CLIMATE SMART AGRICULTURE IN LAIKIPIA COUNTY, KENYA

Abstract

Objective: The purpose of this study was to establish the extent to which capacity planning influences the performance of climate-smart agriculture projects in Laikipia County. Theoretical Framework: The study was anchored on the theory of change whose pillars are planning, participation, and evaluation. These factors are critical in capacity planning of scarce resources and evaluating the effectiveness of the process. 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 interview guide and analyzed using descriptive, inferential, and content data analysis techniques. Results and Discussion: The respondent’s opinion on capacity planning had a composite mean and standard deviation of 2.88 and 1.219 respectively. Capacity planning and the performance of climate-smart agriculture projects had a strong correlation coefficient of r=0.644 and p-value p=0.000<0.05. Therefore, resource capacity planning is fundamental in enhancing climate-smart projects, through proactive decisions, risk management, and cost reduction. Research Implications: Consequently, it is imperative to have policies that prioritize and promote capacity planning of the scarce public and private goods to enhance their allocation. 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 was evidenced by the need to promote food security in pursuance of the achievement of sustainable development goals.