African Journal of Agricultural and Resource Economics Volume 16 Number 1 pages 64-79 Stochastic meta-frontier function analysis of the regional efficiency and technology gap ratios (TGRs) of small-scale cassava producers in Liberia Kollie B. Dogba* Department of Agricultural and Applied Economics, College of Agricultural and Veterinary Sciences, University of Nairobi, Nairobi, Kenya. E-mail:
[email protected] Willis Oluoch Kosura Department of Agricultural and Applied Economics, College of Agricultural and Veterinary Sciences, University of Nairobi, Nairobi, Kenya. E-mail:
[email protected] Chepchumba Chumo Department of Agricultural Economics and Resource Management, School of Agricultural and Natural Resources, Moi University, Eldoret, Kenya. E-mail:
[email protected] * Corresponding author 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.