Mandila, B.Hitimana, J.Kiplagat, K.Mengich, E.Namaswa, T.2024-06-212016Mandila, B., Hitimana, J., Kiplagat, K., Mengich, E., & Namaswa, T. (2016). Cost-Benefit Analysis of Agroforestry Technologies in Semi-Arid Regions of West-Pokot County, Kenya.https://repository.nrf.go.ke/handle/123456789/915West-Pokot County, Kenya experiences harsh arid andsemi-arid climatic conditions associated with high povertyindicators. To alleviate poverty, Non-GovernmentalOrganizations initiated projects to promote agroforestryin order to increase sustainable farm forestry managementfor food, energy security and wealth creation. However,adoption of agroforestry technologies has been slowin these regions due to scanty information on theirprofitability. This study determined costs, benefits andbenefit-cost ratios (B/C) of agroforestry technologies inWest-Pokot with the aim of scaling up of profitable andsustainable agroforestry. Purposive sampling techniquewas used to select two sub-locations of the county, Lelanand Chepareria. Systematic random sampling techniquewas used to select 91 and 90 households respectively.Questionnaire based interviews and field observationswere used in collecting data. Mann–Whitney U test wasused for pair wise analysis to determine B/C ratios ofagroforestry technologies in Chepareria and Lelan thatwere significantly different. Boundary tree planting hadthe highest B/C in Lelan (9.4) and Chepareria (6.88),while scattered trees on farm had the lowest B/C of 0.68in Lelan and 1.11 in Chepareria. Mann Whitney U testindicated that the B/C ratios of agroforestry technologiesin Chepareria and Lelan were significantly different (U=210.500, P < 0.005). Boundary planting and fodder banktechnologies had higher B/C in Lelan as compared toChepareria. In conclusion, all agroforestry technologies,except scattered trees on farms in Lelan were profitable inWest-Pokot as they had a B/C greater than 1.enAgroforestrytechnologiesprofitabilitycost-benefitASALsArticle