Comparative Analysis of Technical Efficiency (Bootstrapping Fear Model) among Maize Farmers in Oyo and Osun States of Nigeria
- September 25, 2019
- Posted by: RSIS
- Categories: IJRSI, Social Science
International Journal of Research and Scientific Innovation (IJRSI) | Volume VI, Issue IX, September 2019 | ISSN 2321–2705
Olapade-Ogunwole, Folayimi
Senior Lecturer, Department of Agricultural Economics & Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
Abstracts:-Agriculture is the mainstay of the Nigeria economy and is characterized by mixed farming system. Expected increases in agriculture require increase in agricultural productivity. Agricultural productivity very much depends on the efficiency of the production process. Policies designed to educate farmers through proper agricultural extension service could have a great impact in increasing the level of efficiency and hence agricultural productivity.
The bootstrap introduced by Efron (1979) is a method of repeatedly drawing with replacement from a sample. The sample is said to be representative if the moments of its distribution match the moment of the underlying unobservable population. The moment of the bootstrap on the other hand, tend to approach the moments of the observable sample. Therefore, if the sample is a representative one, the bootstrap will yield meaningful results. If it is not representative then the bootstrap will still be consistent in terms of approaching the sample moments, but the results will be counterintuitive.
The need therefore to examine improved maize production technologies vis-à-vis some management practices becomes pertinent in order to identify the factor responsible for the inefficiency of maize farmers. This research therefore focused on the technical efficiency of mazie farmers in Oyo and Osun State Nigeria using fear model.
A multistage sampling technique was used in collecting data from a cross-sectional sample of 300 maize farming households in Oyo and Osun State. Data Envelopment Analysis (DEA) including bootstrapping using FEAR model, Tobit regression analysis were employed in analyzing the data. Results from the Tobit analysis showed that the sigma level for CRS, VRS and scale efficiencies were significant at 1 percent with 24.536, 24.433 and 24.466 respectively.
Keywords: Maize, Bootstrapping, Oyo and Osun
