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<title>Ph.D. in Environmental Planning &amp; Management</title>
<link href="http://hdl.handle.net/123456789/15722" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/15722</id>
<updated>2026-04-05T18:46:56Z</updated>
<dc:date>2026-04-05T18:46:56Z</dc:date>
<entry>
<title>THE ROLE OF WILDLIFE CONSERVATION ACTIVITIES ON LIVELIHOOD DEVELOPMENT IN THE MAASAI MARA NATIONAL RESERVE, NAROK COUNTY, KENYA</title>
<link href="http://hdl.handle.net/123456789/13588" rel="alternate"/>
<author>
<name>KIPKOSGEI MESHACK LAGAT</name>
</author>
<id>http://hdl.handle.net/123456789/13588</id>
<updated>2024-07-26T12:23:38Z</updated>
<published>2022-01-01T00:00:00Z</published>
<summary type="text">THE ROLE OF WILDLIFE CONSERVATION ACTIVITIES ON LIVELIHOOD DEVELOPMENT IN THE MAASAI MARA NATIONAL RESERVE, NAROK COUNTY, KENYA
KIPKOSGEI MESHACK LAGAT
Maasai Mara National Reserve (MMNR) is a tourist attraction site and brings revenue to&#13;
the Kenyan economy. This study, therefore, assessed wildlife conservation and livelihood&#13;
development in the Maasai Mara Ecosystem (Siana, Naikarra and Mara Wards), Narok&#13;
County in order to understand the benefits distribution, success and failures of socioeconomic projects, community conservation efforts, livelihood activities and wildlife&#13;
livestock depredation. The study used Mixed Method’s concurrent design. From a&#13;
population of 135130, a sample size of 115 respondents for Siana Ward, 114 respondents&#13;
for Mara Ward and 114 respondents for Naikarra Ward were selected. Stratified sampling&#13;
was used to identify the sublocations while systematic random sampling was used to select&#13;
subjects within the different geographically formed strata or sublocations. Purposive&#13;
sampling was used to select conservation key informants within the region. The main data&#13;
collection tools were questionnaires, structured interviews and Focused Group Discussions&#13;
(FGDs). Pilot test was conducted in Oldonyo Rasha Sublocation to ascertain the validity&#13;
and reliability of the research instruments. Descriptive analysis was done where&#13;
frequencies, chi-squares, measure of central tendencies, linear correlation and Ordinal&#13;
Logistic Regression were computed and presented in tables, pie-charts and bar-graphs. To&#13;
test the hypothesis Spearman’s rank coefficient and ordinal logistic regression (x&#13;
2&#13;
tests)&#13;
were done. Among the key findings were that there were socio-economic benefits derived&#13;
from the MMNR (r = -.180, df = 284, p = 0.002) and since p &lt; 0.01, revealed that socioeconomic benefits vary significantly with distance from MMNR boundary, ( x&#13;
2= 6.36, df&#13;
= 1, p = 0.012) while p &lt; 0.05 at 95 % CL, indicated that socio-economic factors influence&#13;
the success of wildlife conservation projects in Siana, Mara and Naikarra wards.&#13;
Additionally, the local community in their effort to support conservation has developed&#13;
local strategies and activities that demonstrate the value of wildlife conservation in form&#13;
of community projects that support and exist in the forms of school bursary, construction&#13;
of class rooms and community water projects. However, there were community projects&#13;
that could not be established whether they were initiated to support conservation or they&#13;
were political projects. Livestock depredation and other economic costs were conspicuous,&#13;
especially closer to MMNR and the intensity of disturbance reduced with advancing&#13;
distance from MMNR. The local community were participating in livelihood activities that&#13;
were in support of wildlife conservation and at the same time earning them alternative&#13;
income, like land leasing, pastoralism, among others. It is concluded that, socio-economic&#13;
benefits vary with distance from MMNR boundary; livestock depredation vary&#13;
significantly from MMNR boundary and there are livelihood activities in Siana, Mara and&#13;
Naikarra ward related to wildlife conservation. The study then recommends that; the&#13;
County Government of Narok should enhance the 19 % policy on compensation to&#13;
equitably cover most of the deserving cases; the establishments within the MMNR (hotels&#13;
and camps) should consider partnering with the local community especially in trade; and&#13;
the National Government and the private sector should invest in the financial sector, that&#13;
is, establishment of banks and micro-finance institutions in major trading centres within&#13;
the Maasai Mara Ecosystem (MME) to enhance credit access.
</summary>
<dc:date>2022-01-01T00:00:00Z</dc:date>
</entry>
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