ISSN(Online): 2736-0040 ISSN(Print): 2695-1975
Abstract
The study analyzed the technical efficiency of cassava farmers in Abak Local Government Area of Akwa
Ibom State, Nigeria. The specific objectives were to; describe the socio-economic characteristics of
cassava farmers; determine the technical efficiency of cassava farmers; estimate the determinants of
technical efficiency among cassava farmers and examined the constraints militating against cassava
production in the study area. Multistage sampling procedure was used in selecting 120 respondents for
the study. Primary data were obtained using structured questionnaire and the data obtained were
analyzed using descriptive statistics and stochastic frontier production function. The result showed that
the average age, household size, farming experience, and farm size of the sampled respondents were 39
years, 4 persons, 6 years and 1.9 hectares, respectively. The mean, maximum and minimum technical
efficiency were 0.73, 0.95 and 0.38. The findings on the estimated stochastic production function and the
determinants of technical inefficiency showed that farm size (p<0.01), cuttings (p<0.01) and labour
(p<0.01) were found to be significant inputs in cassava production while household size (p<0.1),
education (p<0.01), monthly income (p<0.01), membership of cooperative (p<0.01), access to credit
(p<0.01) and access to extension services (p<0.1) were the determinants of technical inefficiency of
cassava production in the study area. Also, the major constraints to cassava production were, high cost of
fertilizer (13.7%), theft (13.7%), lack of access to credit (13.7%), inadequate access to land (13.7%), and
poor road network (13.7%). The study recommends that training and capacity-building programs should
be targeted to improve farmers' knowledge and skills in efficient cassava production techniques, with a
focus on optimizing inputs such as farm size, cuttings, labour and extension services. Also outreach
programs should be strengthened to provide farmers with timely information, technical support, and best
practices for cassava production, thereby reducing technical inefficiencies.