THE RELATIONSHIP BETWEEN M&E DATA DEMAND AND USE AND SUSTAINABILITY OF AGRICULTURAL FOOD CROP PROJECTS IN KENYA: THE CASE OF NYERI COUNTY, KENYA
Journal Title: Educational Research International - Year 2018, Vol 7, Issue 3
Abstract
Many Kenyans live in poverty with most of these living in rural areas and deriving their livelihood directly from agriculture. Agriculture plays a dual role in the abolition of hunger as it enhances production of food and also serves as a source of employment that can provide families with a source of livelihood as well as providing raw materials for industries in the this sector and stimulating the formation of new industries. Being the world's single largest employer agriculture, if improved can improve the income of the marginalized. The performance of agriculture impacts on the whole economy, underlining the need for urgent revitalization of this sector. Data Use and Demand is an integral tool in managing and accessing efficiency and effectiveness of investments in agriculture sector and sustainability. In the recent times funders and development partners have increasing focused on the impact derived from implementations of project. This study aimed at assessing the influence of M & E Data Use.. The study adopted descriptive survey and correlation design and was undertaken in Nyeri South Sub-county, The target population were the Sub County agricultural officer, and four Sub County officers, four extension officers and 503 farmers in the agriculture food crops project. Among the 211 farmers 206 completed the questionnaires. Stratified random sampling was used to select the strata’s that provided the respondents using Yamane’s formula. Simple random sampling was used to identify respondents from the various agriculture food crop projects and a census/saturated sampling was used in the case of the Sub County agricultural officer in charge and other four other Sub County officers and four extension officers. Questionnaires, observation data from the farmers and extension officers and interview guides were used to collect information from the Sub County agricultural officer, and four Sub County officers. The data was analyzed using both descriptive statistics and inferential statistics. Multiple Linear regression was used for hypotheses testing. Pearson correlation tests were conducted to indicate the relationship between the main study variables .Relationship having a value of r=0.7 and above was considered very strong and between 0.5 and 0.69 strong and between 0.3 and 0.49 reasonably strong and a value of r below 0.29 was considered weak and an indicator that there was no relationship at all. Statistical Package for Social Sciences (SPSS) was used in data analysis. Based on the study findings, the study has exhibited a positive and significant influence of data use (β3=0.155, ρ<0.05) on sustainability of Agricultural food crop projects. Thus, the study concludes that with more data use of Agricultural food crop projects will be enhanced.. Moreover, there is need for increased investment in facilitating data demand and use so as to enhance project sustainability.
Authors and Affiliations
James Mugo Ndagi
Keywords
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