6 research outputs found

    A Gendered Analysis of the Effect of Peanut Value Addition on Household Income in Rongo and Ndhiwa Districts of Kenya

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    Agriculture constitutes a significant amount of the Kenya’s Gross Domestic Product (GDP). However, a major characteristic of Kenyan agriculture is the predominance of primary production with a high concentration of women in the sector. Peanut production for instance is widespread in western Kenya under rural crop production system; serving as a cover, subsistence and commercial crop. As a commercial crop, peanut has the potential of generating income for rural households and thus help in reducing poverty and improving livelihoods. Moreover, higher incomes can be obtained through value addition activities. Despite the known benefits from value addition, farmers produce and market peanuts with little or no processing. Using survey data from 310 randomly selected peanut producers from two divisions; Ndhiwa and Rongo; a Propensity Score Method (PSM) was used to determine the gendered effect of peanut value addition on household income. From the results, farmers were found to undertake only one form of value addition, shelling. Although they appreciated the higher profitability associated with other forms of value addition like processing, inadequate capital to purchase processing equipment was a major constraint. The PSM results suggest that value addition raises household per capita income by Kshs.88 per day. Male headed households recorded higher levels of income compared to female headed households. This indicates that potential exists in peanut value addition as a possibility to raise farmers’ household incomes. However, a diversity of value adding options should be promoted for adoption by farmers to sustainably improve peanut farmers’ livelihoods

    Socioeconomic Factors Influencing Meat Value Addition by Rural Agribusinesses in Kenya.

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    Abstract: The aim of this study was to determine and quantify the socio-economic factors influencing decision by meat agribusiness operators to add value to their products, describe and characterize the existing systems of value addition in rural Kenya. The study carried out a census of 120 butchery operators in Igembe north district. Data was collected with the help of a structured questionnaire. Using a probit model to evaluate the socioeconomic factors influencing the decision to add value, the study found that credit, management's level of education and age significantly influenced the decision to engage in value addition. The study therefore recommends policy interventions to enhance access to credit, reduce illiteracy levels among rural entrepreneurs through training and extension services

    Drivers of small scale farmers participation in agricultural land rental markets in Kenya

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    The study used a sample size of 386 small-scale farmers to jointly determine the drivers of small-scale farmers’ rental market participation in Kenya. The results of a bivariate probit model show that renting in participants were young, more educated and owned relatively small farms while renting out participants were relatively old, less educated and owned large pieces of land. Transaction costs, access to extension services and ownership to oxen were the main determinants of land rental market participation. To heighten land equalization, policies that enhance reinvestment in agricultural assets, access to extension services and reduce transaction cost are important

    Exploring the nexus between tourism, remittances and growth in Kenya

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    Recently there has been a surge in remittances inflow to Kenya while tourism receipts appears to be declining, albeit gradually. In light of these developments, the paper explores the plausible effects of tourism and remittances on per worker output. We use the annual data over 1978–2010 periods and the ARDL bounds approach within the augmented (Solow in Q J Econ 70:65–94, 1956) framework. The regression results show that tourism has a marginal net negative effect in the short-run however positive effect in the long-run. Remittances, on the other hand, have a net positive effect in short-run and negative effect in the long-run. The key results from the Toda–Yamamoto Granger non-causality (Toda and Yamamoto in J Econom 66:225–250, 1995) results show a unidirectional causation from remittances to output per worker; and from output per worker to tourism. A unidirectional ‘combined effect’ of all variables causing output and remittances, respectively are evident as well. Conclusively, tourism is one of the leading drivers of Kenyan economy. To boost gains from tourism, the sector needs to align policies to the Kenya 2030 strategic framework with significant focus on expanding markets, boosting investment, and growth. Remittances market need to be further developed strategically with the view to improving Kenyan migrant led growth initiatives with plausible links to tourism development
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