| dc.description.abstract | The purpose of this study was to analyze the factors that influence effectiveness of CDF projects implementation in Kenya. The research was survey study that used a mixed mode approach for collecting qualitative and quantitative secondary and primary data from the projects. Data collection instruments included document analysis and survey questionnaires. The target population was 283 CDF funded projects at the constituency level. The sampling design was cluster sampling, simple random sampling and purposive sampling. The sample size was 28 CDF funded projects.
From the study, the correlation between the project budgeting and dependent variables - project cost, project implementation time, project implementation status and compliance with specifications were 0.845, 0.842, 0.730 and 0.800 respectively. The correlation between the project fund allocation and the same dependent variables were 0.619, 0.506, 0.705 and 0.634 respectively. The correlation between the project fund disbursement and the dependent variables were 0.410, 0.739, 0.279 and 0.374 respectively. The correlations were found to be statistically significant at 0.05 level of significance.
From the study findings there is a strong positive correlation between project funding and effectiveness of CDF project implementation. Project budget, funding allocation and funding disbursement as funding variables were found to influence effectiveness of CDF projects implementation in Kenya. There should therefore be adequate budget, adequate allocation, prompt disbursement, clear selection and allocation criteria and involvement of all the stakeholders in all the stages of CDFproject cycle for effectiveness of implementation of the projects.
The research information provides vital data to assist and benefit researchers, development practitioners, academicians, policy makers, planners and programme implementers to monitor and evaluate existing devolved funding mechanisms and to design new strategies and policies for competitive project funding and resources allocations. | en_US |
