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    Use of agent banking services and its effect on agricultural performance among small scale farmers in Nyandarua County

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    Date
    2014
    Author
    Maina, J M
    Type
    Thesis; en
    Language
    en
    Metadata
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    Abstract
    In Kenya, financial inclusion has become key in development policy with the belief that access to financial services is a powerful means of reducing poverty. About 32% of the population is excluded from access to financial services with the situation being worse in the rural areas. With the introduction of mobile phone based money transfer services and agent banking models of financial intermediation, there is now a wider choice from the financial provision modes (FPM) that existed before. Agent banking model is an ICT enabled model where formal banks provide financial services through non-bank agents, such as grocery stores, retail outlets, post offices, pharmacies, or lottery outlets. It allows banks to expand services into areas where they do not have sufficient incentive or capacity to establish a formal branch, which is particularly true in rural and poor areas. Access to financial services has been argued to raise both technical and allocative efficiency in agricultural sector since farmers can adopt more capital-intensive methods of production in addition to allowing farmers to substitute non-market inputs with market inputs therefore increasing a farmer’s ability to bear risk. This study examined use of agent banking and its effect on agricultural performance of small scale farmers. The analysis was done using different regression models. Descriptive analysis was used to characterize users of different FPMs, Multinomial logistic model was used to analyse factors that influence use of different FPMs while a profit function was estimated jointly with fertilizer share equation using Seemingly Unrelated Regression (SUR) for comparison of efficiency among households using different FPMs. The study used data collected from 186 households in Nyandarua County through face to face interview using pretested questionnaires. The dominant FPMs included mobile phone based money transfer services (MMT) (41%), agency banking (40%), convectional banking (14%), rotating savings and credit associations (ROSCAS) (3%), and microfinance institutions (1%). The descriptive results show that there is a significant difference in age, proximity the FPM, access to extension and level of education between users of different FPMs. Multinomial logistic regression results show that gender, age, years of active participation in group activities, access to extension, income, distance to the bank agent outlet and cost of accessing the nearest convectional bank influences choice of a specific FPM. Analysis of variance (ANOVA) results show that households using agent banking services make higher profits in crop enterprises than households using other FPMs. SUR results show that the relative degree of efficiency of households using agent banking is similar to that of households using convectional banking but agent bank users are more efficient than MMT services users. In production elasticity estimation, land and capital (pesticides, herbicides, and machinery) were the most limiting factors of production. The implication of the findings is that access to formal financial services to the rural areas enhances agricultural performance of small scale farmers. In addition to improving access to government and other development agencies projects like youth and women development fund to the rural populace, sensitization and training to the rural agricultural population should be biased towards investing in land and capital productivity enhancing modern technology.
    URI
    http://hdl.handle.net/11295/72749
    Citation
    MSc. (Agricultural and Applied Economics ) Thesis
    Sponsorhip
    University of Nairobi
    Publisher
    Faculty of Agriculture, University of Nairobi
    Subject
    Multinomial logit
    Efficiency
    Financial inclusion
    Agent banking
    Description
    MSc Thesis
    Collections
    • Faculty of Agriculture & Veterinary Medicine (FAg / FVM) [3084]

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