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Stochastic meta-frontier function analysis of the regional efficiency and technology gap ratios (TGRs) of small-scale cassava producers in Liberia

Author

Listed:
  • Dogba, Kollie B.
  • Kosura, Willis Oluoch
  • Chumo, Chepchumba

Abstract

To enrich agriculture reform and reap its benefits, policy makers need to localise policy issues within and across their domestic zones. Using a stochastic meta-frontier function, this study analysed the production efficiency of the cassava subsector of cassava growers from Bomi and Nimba counties in Liberia. The paper contributes to the domestication of agriculture policy issues within a country. The study found different scales of production returns for cassava growers in Bomi and Nimba counties. Farmer age, gender, household size and access to credit were key determinants of the technical gap ratio of the cassava subsector. The study recommends that relevant stakeholders (in a multi-stakeholder partnership) design a holistic approach of innovative finance (including microfinance, agriculture insurance and a grouped loan scheme) and social enterprise development that will encourage more women and young people to grow cassava efficiently for the higher productivity of the cassava subsector.

Suggested Citation

  • Dogba, Kollie B. & Kosura, Willis Oluoch & Chumo, Chepchumba, 2021. "Stochastic meta-frontier function analysis of the regional efficiency and technology gap ratios (TGRs) of small-scale cassava producers in Liberia," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 16(1), March.
    • Handle: RePEc:ags:afjare:333933
    DOI: 10.22004/ag.econ.333933
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    References listed on IDEAS

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