Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/7882
Title: Stochastic meta-frontier function analysis of the regional efficiency and technology gap ratios (TGRs) of small-scale cassava producers in Liberia
Authors: Dogba, Kollie B.
Kosura, Willis Oluoch
Chumo, Chepchumba
Keywords: Technology gap ratio
Cassava farming
Issue Date: 2021
Publisher: AgEcon
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.
URI: http://ir.mu.ac.ke:8080/jspui/handle/123456789/7882
Appears in Collections:School of Agriculture and Natural Resources

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