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Factors Affecting Technical Efficiency of Passion Fruit Producers in the Kenya Highlands

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  • Karani-Gichimu, Charles
  • Macharia, Ibrahim
  • Mwangi, Maina

Abstract

The importance of passion fruit in livelihood improvement has been a key driver among rural households production participation in Kenya. The frequency of harvest and income flows compared to other farm enterprises in the fruit growing regions has been high. However, the productivity of the fruit remains low; an indicator of low technical efficiency. Using a semi-structured questionnaire, cross sectional data from 123 randomly selected passion fruit producers was used in the study to assess factors that contribute to purple passion fruit production efficiency in the Kenyan highlands. The study established a mean technical efficiency of 58.66%. Orchard age, credit amount used, non-passion fruit income and County variables significantly and positively influenced TE at 5% level. The level of education, extension advice use frequency and market access positively and significantly influenced technical efficiency at 10% level. In order to amend the current efficiency status upwards, passion fruit producers and support institutions should incorporate innovative measures towards resource use efficiency for increased productivity.

Suggested Citation

  • Karani-Gichimu, Charles & Macharia, Ibrahim & Mwangi, Maina, 2015. "Factors Affecting Technical Efficiency of Passion Fruit Producers in the Kenya Highlands," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 5(3).
    • Handle: RePEc:ags:ajaees:357404
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    References listed on IDEAS

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    1. repec:aer:wpaper:163 is not listed on IDEAS
    2. Nchare, Amadou, 2007. "Analysis of factors affecting the technical efficiency of arabica coffee producers in Cameroon," Working Papers 47c40492-b722-4ca1-8958-e, African Economic Research Consortium.
    3. repec:aer:wpaper:e0c8d8167fba is not listed on IDEAS
    4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    5. Sibiko, Kenneth Waluse, 2012. "Determinants of Common Bean Productivity and Efficiency: A Case of Smallholder Farmers in Eastern Uganda," Research Theses 134500, Collaborative Masters Program in Agricultural and Applied Economics.
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