Assessment of factors influencing adoption of postharvest loss reduction practices along the mango value chain in Embu, Machakos, and Nairobi counties, Kenya.

Use of loss reduction practices are critical to ensuring losses are reduced significantly along the value chain. This necessitates for the need to assess the factors that influence adoption of the loss reductio practices to have better targeting and development. Therefore, the current study assessed the factors that influence adoption, and multistage sampling technique was employed. The counties and the sub-counties were purposively selected, and the mapping began from Nairobi which is the main market for mangoes. Wholesalers, and retailers were interviewed making use of snowballing, while farmers were randomly selected. A total of 70 farmers were selected, 74 wholesalers, and 98 retailers were sampled. From the study, at the farm level results revealed that about 38.7 % of the farmer respondents prefer use of stick and bag. On the other hand, about 37.1 % of farmers in Machakos had preference of hand picking as the main method of harvesting. Wholesaler preferred the use of cartons in Nairobi, while those in Embu and Machakos had higher preference of use of shades. Result from the empirical model showed that credit was a critical factor to use of the practices at the farm with a 40 % influence on use of multiple practices. Experiencing higher losses influenced adoption of the practices by 4.3 %, and would influence use of multiple practices by 19.2 %. Organized selling was the critical factor for wholesalers and influenced adoption by 43.4 %. Retailers in Embu and Machakos on the other hand, were 19.9 % less likely to take up the practices. The results further showed that higher PHL influence retailer to take up loss reduction practices by 30.2 %, and those that were more experience were 20 % more likely to take up the practices. From the result it was thus concluded that cost effectiveness, ability to reduce losses, and increase of incomes were some of the things actors were interested with before they could take up any loss reduction practice. Through the study it was evident that high PHL less to higher use of the practices, and also positively influence the intensity of use of the practices. It was thus recommended that there is need for upgrading the current low-cost technologies to make them more user friendly so that they are not time-wasting during harvest, and for the traders they are able to carry optimal quantities that lead to profit maximization.

Impact of agribusiness empowerment interventions on youth livelihoods: Insight from Africa.

This study generates evidence to understand the impact of agribusiness empowerment programmes on youth livelihoods in developing countries based on the ENABLE-TAAT programme implemented in Kenya, Nigeria, and Uganda. A multistage sampling technique was used in obtaining primary agribusiness-level data from a sample of 1435 young agripreneurs from the study countries. An Endogenous Treatment Effect Regression (ETER) model was used to assess the impact of programme participation on youth livelihoods (income and food security). Results show that participation significantly increased youth's agripreneurship income by 7% and improved food security by 75% for the pooled analysis. The country disaggregation results show that participation led to a 54% and 37% increase in the income of participants in Nigeria and Uganda, respectively. Also, positive and significant impacts were obtained for food security in the two East African countries. These findings suggest policy interventions or programmes focusing on youth agribusiness empowerment, particularly those that target young actors along different agricultural value chains. The study also suggests interventions geared towards mitigating constraints to credit access and productive resources by young agripreneurs to ease barriers to working capital and business innovation.

Access to and utilization of local digital marketing platforms in potato marketing in Kenya.

The agricultural sector in Kenya has witnessed a proliferation of marketing platforms in recent years. However, there has been a noticeable reluctance among farmers to adopt and utilize these platforms for marketing their produce. In light of this, the present study aimed to identify the factors influencing access to and utilization of agricultural marketing platforms. Specifically, the study focused on M-shamba as a representative local marketing platform. A sample of 375 potato farmers from Nakuru county participated in the study, responding to semi-structured questionnaires administered through the survey CTO platform. Descriptive statistics and the Heckprobit model were employed for data analysis. The Heckprobit model encompassed both a selection equation and an outcome equation. The results obtained from the selection equation of the Heckprobit model revealed that factors such as age, off-farm income, farm income, years of potato farming, and access to extension services significantly increased the likelihood of accessing M-shamba. Furthermore, the outcome equation indicated that age, gender of the marketing decision maker, household size, farm income, ranking of potato farming as the primary enterprise, and years of potato farming significantly influenced the utilization of M-shamba in potato marketing. Based on the findings, the study suggests that stakeholders involved in the development of digital marketing platforms should prioritize extensive training and knowledge dissemination, particularly targeting older farmers, to facilitate enhanced access and utilization of such platforms. These efforts will contribute to the promotion of efficient digital marketing practices in the agricultural sector.

Prevalence of Posttraumatic Stress Disorder and Depression Among Internally Displaced Persons in Mogadishu-Somalia.

Background: Nearly 2.6 million people have been forced into displacement camps in Somalia as a result of frequent conflicts exacerbated by climate change disasters. Although the psychological impact of war and natural disasters is well documented elsewhere, little is known about the unseen scars of psychological trauma among internally displaced persons (IDPs) in Somalia. This study was carried out between January and February 2021 and sought to determine the prevalence of post-traumatic stress disorder (PTSD) and depression among IDPs and examine the association between displacement and these psychiatric conditions. Methodology: A cross-sectional quantitative study was conducted among 401 IDPs in Mogadishu. The Harvard Trauma Questionnaire was used to determine the levels of trauma exposure and PTSD, and Hopkins Symptom Checklist-25 was used to estimate the prevalence of depression. Multivariate and bivariate analyses were performed to analyze the association between demographic and displacement variables and the outcomes of PTSD and depression. Results: More than half (59%) of participants met the symptom criteria of depression, and nearly a third (32%) of respondents met the symptom criteria for PTSD. The most prevalent traumatic event was a lack of food or water (80.2%). Important predictive factors for the development of psychiatric morbidity were unemployment, cumulative traumatic exposure, and frequency and duration of displacement. Conclusion: The study revealed high levels of depressive disorder and PTSD among IDPs in Mogadishu. Furthermore, this study provided evidence of IDPs' susceptibility to trauma exposure and lack of essential services and goods. The study highlighted the importance of the provision of Mental Health and Psychosocial Support (MHPSS) services in IDP camps.

Assessing food security among young farmers in Africa: evidence from Kenya, Nigeria, and Uganda.

Food insecurity remains a serious challenge for many households in Africa and the situation is even more prevalent among young people. However, there is a dearth of empirical evidence on youth food security status in Africa. We assessed the level and determinants of food security among young farmers in Africa. We adopted a multi-stage sampling technique to select 400, 429, and 606 young farmers in Kenya, Nigeria, and Uganda, respectively. Individual food consumption was assessed following a 7 days recall method. The Food Consumption Score, which combines dietary diversity and consumption frequency was used to assess food security status while the determinants of food security were identified using a logistic regression model. Results suggest low dietary diversity across the three countries. Also, the majority of the respondents had an unacceptable food consumption score, suggesting that despite being food producers, young farmers are still food insecure. The odds of being food secure was positively determined by access to extension services, participation in the ENABLE TAAT business incubation programme, and access to market information but, negatively by access to credit, number of employees, Covid-19 pandemic, and location. Additionally, the food security status of young female farmers was positively influenced by age, suggesting that younger youths are less food secure compared to older ones. These results suggest that more efforts should be directed towards improving the food security of young African farmers and that policy- and programme-level interventions should support access to extension services, market information, and land. Additionally, more investments should be directed towards developing need-based agribusiness incubation programmes with an effort to scale existing programmes beyond the regular one-time period.

Can young agripreneurs improve their skills through agripreneurship empowerment programmes? Evidence from Africa.

This article examined the driving forces behind young agripreneurs' participation in agripreneurship empowerment programmes and estimates the causal impact of programme participation on agripreneurship skills using data from a random cross-section sample of 1435 young agripreneurs in Kenya, Nigeria, and Uganda. Specifically, the study took evidence from the youth component of the African Development Bank Technologies for African Agricultural Transformation (TAAT) programme, Empowering Novel Agribusiness-Led Employment (ENABLE). An endogenous switching model was used to identify factors that significantly informed participation decisions and assess the programme's impact on youth agripreneurship skills. Age, education, agripreneurship experience, business level, current residence, and training perception significantly influenced participation. Even though both programme participants and non-participants had high agripreneurship skills scores, participants had higher scores across the three countries than non-participants. The causal impact estimation from the switching regression model also indicates that participation has a positive and significant impact on agripreneurship skills, which implies that the higher score achieved by participants could be attributed to their involvement in the ENABLE-TAAT programme. These results suggest raising awareness of youth agribusiness empowerment programmes and encouraging youth to participate more actively. Additionally, the result suggests the need to implement strategies that could change young people's negative perception of agricultural interventions for increased participation.

Assessment of hygiene practices and microbial safety of milk supplied by smallholder farmers to processors in selected counties in Kenya.

Smallholder farmers dominate the Kenyan dairy sector producing 95% of the total milk. However, several concerns have been raised on the quality and safety of the milk they produce. This study assessed the hygienic practices and microbial safety of milk supplied by smallholder farmers to processors in Bomet, Nyeri, and Nakuru counties in Kenya. Interviews and direct observations were carried out to assess hygiene and handling practices by farmers and a total of 92 milk samples were collected along four collection channels: direct suppliers, traders, cooperatives with coolers, and cooperatives without coolers. Microbial analysis was done following standard procedures and data analysed using GenStat and SPSS. This study revealed that farmers did not employ good hygienic practices in their routine dairy management. They used plastic containers for milking and milk storage (34.2%); they did not clean sheds (47.9%) and did not set aside cows that suffered from mastitis factors (83.6%), resulting in poor microbial quality of raw milk along the collection channels. The highest mean total viable counts (8.72 log10 cfu/ml) were recorded in Nakuru while Nyeri had the highest mean E. coli counts (4.97 log10 cfu/ml) and Bomet recorded the highest mean counts of 5.13 and 5.78 log10 cfu/ml for Staphylococcus aureus and Listeria monocytogenes respectively. Based on all above-mentioned parameters, the microbial load in most samples from all three counties exceeded the set Kenyan standards. Farmer training, improving road infrastructure, use of instant coolers at cooperatives, and quality-based payment systems are recommended as measures to curb microbial growth.

Characterization of dairy innovations in selected milksheds in Kenya using a categorical principal component analysis.

To enhance milk quantity and quality which have continued to decrease in Kenya, various stakeholders have intervened through promotion of technical dairy innovations at the farm level including improved cow feeding, health management, promotion of exotic breeds, and milking hygiene. At the milkshed level, stakeholders' focus has been on organizational innovations, specifically milk sale by farmers through groups. This study sought to characterize dairy innovations that have been adopted by farmers in the milkshed of three milk processors including New Kenya Co-operative Creameries Sotik (NKCC Sotik), Happy Cow Limited (HCL), and Mukurweini Wakulima Dairy Limited (MWDL), representing one state, private, and farmer-owned processor, respectively. Data were collected using a structured questionnaire from a sample of 1146 farmers (410, 382, and 354 in MWDL, HCL, and NKCC Sotik, respectively). A categorical principal components analysis was used to reduce 32 variables into four sets of uncorrelated components. Four categories were identified including principal component (PC) 1 (technical capacity), PC 2 (animal health management), PC 3 (organizational capacity), and PC 4 (milk hygiene). More farmers in the milkshed of MWDL adopted technical and organizational dairy innovations such as use of artificial insemination and milk sale through groups, respectively, than farmers in milkshed of NKCC and HCL. The county governments in the milkshed of HCL and NKCC Sotik need to strengthen cooperative societies to boost adoption of artificial insemination through arrangement in which milk is sold and payment of services offered on credit is settled from milk sale and ensure milk market availability throughout the year.

Quality and psychosocial factors influencing purchase of orange-fleshed sweetpotato bread.

This 2018 study, conducted in six Tusky's supermarkets in Nairobi, Kenya, combined the Just-About-Right, Penalty and Mean-End-Chain analyses to examine the quality and psychosocial factors influencing the purchase of a novel bread made from orange-fleshed sweet potato (OFSP), a biofortified crop, focusing on sixty-one male and eighty female urban OFSP bread buyers recruited at point of purchase. It finds that sensory and psychosocial factors drive purchasing decisions and that some of the bread's sensory characteristics are misaligned with consumers' expectations. It also finds that women and men's evaluations of the bread's characteristics are different, as are their motivations for purchase. However, good sensory attributes and the knowledge of the bread's nutritional value were key drivers. Some misaligned characteristics reveal levers for the reformulation of the bread and present opportunities for segmenting the market. Several other implications of the findings for policy and future improvement of the bread are discussed.

Willingness to Pay for Hexanal Technology among Banana Farmers in Meru County, Kenya.

From the perspective of food categories, fresh produce are the leading sources of food loss and waste globally. Their highly perishable nature shortens their shelf-lives leading to high postharvest losses if not properly handled. Currently, these losses are estimated at sixty-six percent based on total weight. Reduction of these losses will ensure constant supply of food along the supply chain as well as economic empowerment of the rural poor. Hexanal which is a naturally occurring compound has been developed as an intervention to prolong shelf-life of delicate tropical fruits such as bananas while also maintaining their quality. However, empirical evidence is still required on the usefulness of hexanal to farmers. It is envisaged that such evidence would inform scaling up of the technology in Kenya. This study assessed willingness to pay for hexanal and the factors influencing WTP amounts among banana farmers in Meru County, Kenya. Primary data was collected from 130 respondents who were grouped into aware and not aware of Hexanal. Results indicate that farmers who are aware of hexanal had a higher mean WTP Ksh 466.47 (US $4.66) compared to those not aware Ksh 331.86 (US $3.32). Factors such as age and income influenced the WTP amounts between subsamples. The major key policy implication of the study is the importance of stakeholders investing in the dissemination of information on hexanal among farmers to enhance uptake.

Assessment of willingness-to-pay for Aflasafe KE01, a native biological control product for aflatoxin management in Kenya.

Contamination of key staples with aflatoxins compromises the quality of food and feed, impedes trade, and negatively affects the health of consumers whereas acute exposure can be fatal. This study used the Contingent Valuation Method (CVM) on a sample of 480 farmers in counties prone to aflatoxin contamination to assess the willingness to pay (WTP) by farmers for Aflasafe KE01, a promising biological control product for the management of aflatoxin contamination of key staples in Kenya, compare its cost with that of a similar product in use in Nigeria, and determine factors likely to affect its adoption. Four hundred and eighty households from four counties identified as aflatoxin hotspots in Kenya were purposively selected and interviewed using a semi-structured questionnaire. The mean WTP per kilogram of Aflasafe KE01, using Contingent Valuation Method in the four counties ranged from Kenya Shillings (Ksh) 113 to 152/kg compared to a cost of Ksh. 130/kg, the price of a similar product, AflasafeTM, in Nigeria. Factors that positively influenced farmers' WTP included information from crop extension services and access to credit. To facilitate the adoption of Aflasafe KE01 or any other biocontrol product in Kenya and elsewhere, there is a need for increased education efforts through extension services to farmers about aflatoxins. Strategies to ensure that the biocontrol product is integrated into the credit scheme of the technological packages to farmers need to be considered.

Factors influencing economic efficiency of milk production among small-scale dairy farms in Mukurweini, Nyeri County, Kenya.

This paper highlights the factors likely to influence the economic efficiency of small-scale dairy farms in Mukurweini, Nyeri County, Kenya. A total of 91 small-scale dairy farms previously involved in a nutritional training in 2013 were administered with semi-structured questionnaires. Data collected were entered into SPSS and FRONTIER 4.1 was used to compute the technical, allocative and economic efficiency scores for each farm. The scores were then regressed against a set of variables using the Tobit model in STATA to determine the factors associated with the scores. The average age of the household members involved in dairy farming, household size, labour, cost of concentrates and size of land owned had a negative significant influence on economic efficiency. It was concluded that lowering costs, proper utilization of hired labour and intensive use of the available land for dairy farming would lead to an increase in economic efficiency. The study recommends subsidized prices for concentrates, intensive dairy farming, minimization of hired labour and organization of dairy training and workshops in order to increase the efficiency of milk production in small-scale farms in the study area and other parts of Kenya with similar agro-ecological and cultural conditions.

Data for the evaluation of irrigation development interventions in Northern Ethiopia.

This data article provides the datasets that are used in the holistic ex-ante impact evaluation of an irrigation dam construction project in Northern Ethiopia [1]. We used an expert knowledge elicitation approach as a means of acquiring the data. The data shared here captures all the parameters considered important in the impact pathway (i.e. the expected benefits, costs, and risks) of the decision to construct an irrigation dam. The dataset is disaggregated for two impact pathway models: one complementing the dam construction with catchment restoration and the other without catchment restoration. Both models are scripted in the R programming language. The data can be used to examine how the construction of an irrigation dam affects the incomes as well as the food and nutritional status of farmers that are affected by the intervention.

Stochastic impact evaluation of an irrigation development intervention in Northern Ethiopia.

Irrigation plays a significant role in achieving food and nutrition security in dry regions. However, detailed ex-ante appraisals of irrigation development investments are required to efficiently allocate resources and optimize returns on investment. Due to the inherent system complexity and uncertain consequences of irrigation development interventions coupled with limited data availability, deterministic cost-benefit analysis can be ineffective in guiding formal decision-making. Stochastic Impact Evaluation (SIE) helps to overcome the challenges of evaluating investments in such contexts. In this paper, we applied SIE to assess the viability of an irrigation dam construction project in northern Ethiopia. We used expert knowledge elicitation to generate a causal model of the planned intervention's impact pathway, including all identified benefits, costs and risks. Estimates of the input variables were collected from ten subject matter experts. We then applied the SIE tools: Monte Carlo simulation, Partial Least Squares regression, and Value of Information analysis to project prospective impacts of the project and identify critical knowledge gaps. Model results indicate that the proposed irrigation dam project is highly likely to increase the overall benefits and improve food and nutrition status of local farmers. However, the overall value of these benefits is unlikely to exceed the sum of the investment costs and negative externalities involved in the intervention. Simulation results suggest that the planned irrigation dam may improve income, as well as food and nutrition security, but would generate negative environmental effects and high investment costs. The Stochastic Impact Evaluation approach proved effective in this study and is likely to have potential for evaluating other agricultural development interventions that face system complexity, data scarcity and uncertainty.

Producers' valuation of geographical indications-related attributes of agri-food products from semi-arid lands in Kenya.

Arid and semi-arid lands comprise 84% of Kenya's land, characterised by low and erratic rainfall, and increasing human and animal population. The study sought to determine producers' willingness to pay for protection of unique terroir-based agri-food products from semi-arid lands as geographical indications. The sample products comprised two commodities: mangoes from lower Eastern region of Kenya and goats from Baringo in the North Rift region. Using random parameters logit model specification, choice experiments were used to elicit the producers' willingness to pay for attributes related to design of geographical indications (GI) for agricultural products in Kenya. Mango producers attached greater value to having minimum guaranteed payments for their products and receiving price information before the start of the season. Goat producers attached higher value to where to sell the produce as well as use of collective marketing. The producers therefore view GIs as a means to reduce market failures. GIs can enhance collective participation of producers in the semi-arid regions in delimiting the production region responsible for the unique characteristics; hence increase value accruing to producers. The voluntary nature of GI requires effective coordination and governance through GI framework that can limit parallel protection groups of the same product in the same region.

Characterization of Kenyan Honeys Based on Their Physicochemical Properties, Botanical and Geographical Origin.

Properties and composition of honey are essential in providing information regarding their quality as well as in their differentiation based on production region characteristics, e.g., floral sources. This paper presents physicochemical properties and floral sources (botanical origin) of 21 honey samples obtained from arid and semiarid areas of Kenya, specifically, West Pokot, Baringo, and Kitui Counties. Physicochemical parameters which were analyzed to determine honey quality included moisture content, hydroxymethylfurfural (HMF), diastase activity, free acidity, and electrical conductivity. Values of these parameters were compared with those of the existing local, regional, and international standards for honey. Melissopalynological analysis (pollen analysis) was also carried out to provide information on botanical origin of the honeys. Results showed mean parameter values of moisture, 16.34%; HMF, 23.28 mg/kg; diastase activity, 10.67 Schade units; free acidity, 22.95 meq/kg; and electrical conductivity, 0.40 mS/cm. Free acidity and electrical conductivity values of honey samples obtained from West Pokot were significantly lower than the values of honeys from Baringo and Kitui. Eighteen (18) honey samples had all parameter values within the limits set in the East African, Codex Alimentarius, and the European Union directive standards for honey. Results also showed a total of 29 pollen types in the honey samples analyzed, and Acacia spp. was the predominant pollen type in 4 of the 21 honey samples. Findings of this study showed that Kenyan origin honeys can tap into the existing regional and international markets based on their quality which can be attributed to their botanical origin. Results of this study also suggested that honey producers have undertaken appropriate measures in honey harvesting, processing, handling, and storage. However, there is a need to build capacity of producers whose honey were of unacceptable quality. This would involve training on proper honey production, processing, and handling practices as well establishment of honey collection and processing centres at the local level in order to improve honey quality. This will enhance access to existing honey markets. Conservation of bee floral sources would also be needed to maintain honey quality.

Determinants of access and utilisation of seasonal climate information services among smallholder farmers in Makueni County, Kenya.

Climate change is a major development challenge in sub-Saharan Africa. This region is highly vulnerable to negative impacts of climate change due to low adaptive capacity and overreliance on rain-fed agriculture for food security and livelihood. Climate information services (CIS) have been developed in Kenya to help enhance farmers' adaptation to climatic shocks, but their access and utilisation remain low. The factors that influence farmers' access and use of CIS are not well-known. Using survey data from a sample of 250 households in Makueni County, this study estimated a two-step Heckprobit model to analyse the determinants of access and use of CIS. Results showed that the age of the household head reduced the likelihood of accessing CIS whereas household size, income, farm size, livelihood activity, television ownership and group membership increased it. Age, sex of the household head, and frequent exposure to drought reduced the likelihood of using CIS whereas access to improved seed, household income, radio ownership, and livelihood activity increased it. Efforts promoting access to and utilisation of CIS would benefit by building trust among farmers through provision of accurate information; promoting adoption of improved varieties of crops; and providing incentives for formation and participation in farmers' groups.

Breeding services and the factors influencing their use on smallholder dairy farms in central Uganda.

Dairy cattle breeding is an important technology in the enhancement and promotion of dairy production in Uganda. The introduction of germplasm through AI is crucial to enhance the production potential of the local breeds. A study was conducted in six districts of Uganda in the central region using a questionnaire survey involving 450 randomly selected households to profile the dairy breeding services in use and investigate the factors that affect the success of dairy breeding focusing on AI. Adoption of the AI service was highly (P < 0.05) dependent on ava ilability of extension services, record keeping practice (P < 0.05), and availability of milk markets (P < 0.05). On the other hand AI adoption was independent of formal education, age of farmer, labor availability, and feed/water availability (P > 0.05). Use or nonuse of AI did not significantly (P > 0.05) influence the sex of the calf born. While preference for AI was marked, very few farmers actually used it. This implies that focus should be put on improved AI service delivery alongside improved extension services.

Quality of life among patients living with epilepsy attending the neurology clinic at Kenyatta National Hospital, Nairobi, Kenya: a comparative study.

BACKGROUND: Most of the studies on epilepsy in Kenya and indeed the sub-Saharan region of Africa mainly focus on prevalence, psychiatric profile, and factors associated with increased seizure burden. This being the first Kenyan and sub-Saharan African study assessing quality of life among people living with epilepsy, it will identify their 'intangible' needs and enable evidence-based intervention that would ultimately lead to a comprehensive management and better outcome. DESIGN: A cross-sectional comparative study, using the World Health Organization Quality of Life questionnaire, a socio-demographic questionnaire, seizure burden and characteristics, drug and treatment profile questionnaires and the Mini-Mental state examination, among PLWE and those accompanying them, herein referred to as the normal healthy controls, attending the neurology clinic at Kenyatta National Hospital, Nairobi. SETTING AND SUBJECTS: Study was carried out between October 2006 and February 2007 at the neurology clinic in the hospital where three hundred consecutive subjects who satisfied the inclusion criteria and gave consent were recruited.Statistical tests used: Descriptive statistics were used to compute means, standard deviations as well as frequencies. Significance of associations was tested using the Chi square test statistic (x2), an independent samples t-test, analysis of variance (ANOVA) and a step-wise (forward) regression analysis. A p < 0.05 was considered statistically significant. RESULTS: The mean quality of life among people living with epilepsy (49.90%) was significantly (p < 0.01) lower than that of the normal controls (77.60%) accompanying them and significantly impaired as compared to the hypothesized mean of 75±2.5%. Factors significantly (p < 0.05) associated with impairment of quality of life in those living with epilepsy were a low level of education, higher seizure burden, low annual income, unemployment, unskilled employment, and living in a rural residence. CONCLUSIONS: The mean quality of life of people living with epilepsy at Kenyatta National Hospital was significantly impaired and lower than that of the normal controls accompanying them. A comprehensive epilepsy management program is recommended to address this problem and its associated risk factors for the people living with epilepsy in Kenya.

Factors influencing local communities' satisfaction levels with different forest management approaches of Kakamega forest, Kenya.

Satisfaction of communities living close to forests with forest management authorities is essential for ensuring continued support for conservation efforts. However, more often than not, community satisfaction is not systematically elicited, analyzed, and incorporated in conservation decisions. This study attempts to elicit levels of community satisfaction with three management approaches of Kakamega forest in Kenya and analyze factors influencing them. Three distinct management approaches are applied by three different authorities: an incentive-based approach of the Forest Department (FD), a protectionist approach of the Kenya Wildlife Service (KWS), and a quasi-private incentive-based approach of Quakers Church Mission (QCM). Data was obtained from a random sample of about 360 households living within a 10-km radius around the forest margin. The protectionist approach was ranked highest overall for its performance in forest management. Results indicate that households are influenced by different factors in their ranking of management approaches. Educated households and those located far from market centers are likely to be dissatisfied with all the three management approaches. The location of the households from the forest margin influences negatively the satisfaction with the protectionist approach, whereas land size, a proxy for durable assets, has a similar effect on the private incentive based approach of the QCM. In conclusion, this article indicates a number of policy implications that can enable the different authorities and their management approaches to gain approval of the local communities.