National Drought Management Authority Strategies in Drought Mitigation in Isiolo County, Kenya
| dc.contributor.author | Huka, Abdulkarim | |
| dc.date.accessioned | 2025-02-21T12:04:52Z | |
| dc.date.available | 2025-02-21T12:04:52Z | |
| dc.date.issued | 2024-11 | |
| dc.description | A Research Project Submitted to the School of Law, Arts and Social Sciences in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Public Policy and Administration of Kenyatta University, November 2024. Supervisor Heather Kipchumba | |
| dc.description.abstract | Isiolo County is one of the 23 Arid and Semi-Arid Lands(ASAL) counties in Kenya that face perennial droughts affecting both the human and livestock populations and translating to social, health, and economic negative consequences. The problems of drought have seen several stakeholders engage in drought mitigation in the county, among them is the National Drought Management Authority (NDMA), a government parastatal covering ASAL counties. However, aside from their research and reports, specific studies seeking to establish the relationship between NDMA practices and their effect on mitigation of drought are minimal. The study’s objectives focused on investigating NDMA’s coordination, risk reduction, and early warning system practices and their effects on mitigating drought in Isiolo County. The study was anchored on The APFM model and Protection Motivation Theory. The targeted population was the NDMA technical team, composed of 11 members, 9 key informants from drought mitigation stakeholders, both local and international and 58,072 household heads. A census was done among the NDMA technical team and the stakeholders while simple random sampling was done to select 100 household heads determined using the Yamane Taro Formula (1967), using a precision level of +/-10%. A preliminary investigation was conducted in Marsabit County to assess the validity and reliability of the research tools. Semi-structured questionnaires were employed as a means of data collection from the participants. The study utilized a descriptive research methodology, in which quantitative data was subjected to analysis using both descriptive and inferential statistics. Additionally, qualitative data was analyzed thematically and presented in narrative form. Tables and respondent voices were used to present the data. Ethical consideration was adhered to. First, research authorization was sought from graduate school, Kenyatta University, and then a research permit from NACOSTI. Confidentiality and anonymity were adhered to throughout the research process. The findings of the study indicated that about 63.0% of the variations in drought mitigation in Isiolo County can be accounted for by the entry criterion elements. The remaining 37.0% of the variance can be ascribed to additional factors that were not included in the study; therefore, the study recommends that there is a need to strengthen the formal structure in Isiolo County to allow all stakeholders to participate in drought Mitigation and ensure that coordination of the mitigation activities is effective. Additionally, the community should be allowed to participate in each of the drought management coordination efforts and ensure the use of implementation of drought responses that are informed by research findings as these types of responses are not only effective but are also efficient. Moreover, there is also a need for NDMA to rely on historical data in providing early warning information on agriculture, livestock among others, and include increased use of other data, get real-time updates on drought conditions, and the identification of the most appropriate channel to convey any message on early warning on possible drought. | |
| dc.description.sponsorship | Kenyatta University | |
| dc.identifier.uri | https://ir-library.ku.ac.ke/handle/123456789/29627 | |
| dc.language.iso | en | |
| dc.publisher | Kenyatta University | |
| dc.title | National Drought Management Authority Strategies in Drought Mitigation in Isiolo County, Kenya | |
| dc.type | Thesis |