Joint Effect of Monitoring and Evaluation Tools, Capacity Building, Stakeholder Participation on Performance of Agricultural Programs in Kenya
Abstract
The main objective of the study was to assess the joint effect of monitoring and evaluation tools, capacity building, and stakeholder participation on the performance of the Climate-Smart Agricultural Productivity Program in Kitui County, Kenya. Descriptive survey, cross-sectional, and correlational research designs were adopted for the study. The unit of analysis was five projects under the Climate-Smart Agricultural Productivity Program in Kitui County. The sample size was 260 respondents. Data were collected and analyzed using descriptive and inferential statistics. The results revealed that the overall regression model of the joint influence of monitoring and evaluation tools, capacity building, and stakeholder participation had high explanatory power. The coefficient of determination was R = 0.841, R² = 0.707, and adjusted R² = 0.704. That is, the joint effect of the study variables explained 70.4 percent of the changes in the performance of the Climate-Smart Agricultural Productivity Program in Kitui County; therefore, 29.6 percent of the changes in performance were explained by other variables not considered in this study.An ANOVA test was conducted, and the results indicated that the overall model was significant, since F = 195.076, p = 0.000 < 0.05. Therefore, the null hypothesis was rejected, meaning that there was a significant joint effect of M&E tools, capacity building, and stakeholder participation on the performance of the Climate-Smart Agricultural Productivity Program in Kitui County, Kenya.Regarding individual significance, the constant (p = 0.811) and stakeholder participation (p = 0.603) were not significant, since their p-values were greater than the 0.05 significance level. In contrast, monitoring and evaluation tools and capacity building were significant, because their p-values (0.000) were less than the 0.05 level of significance. In conclusion, and using the standardized coefficients, it is more prudent to enhance capacity building, as a one-unit change in it has, on average, more impact on the performance of the Climate-Smart Agricultural Productivity Program in Kitui County.
Keywords:Monitoring And Evaluation Tools, Capacity Building, Stakeholder Participation, Performance