Technical Efficiency and Technological Gaps of Rice Production in Anambra State, Nigeria

The traditional approach to modeling productive efficiency assumes that technology is constant across the sample. However, farms in different regions may face production opportunities, and technologies they employ differ due environmental factors. Therefore, rather than using a stochastic frontier model such cases, meta-frontier (SMF) analysis recommended account for factors between regions. It follows differences upland lowland Anambra State, Nigeria, result farmers producing rice under conditions. Using SMF model, this study, first time, determines technical (TE) technological gap ratios (TGRs) of from Awka North Local Government Area Nigeria. Our data are cross-section sample randomly selected farmers. Results reveal regional producers on average, significantly more technically efficient (91.7%) their counterparts (84.2%). Additionally, mean TGRs associated with higher (92.1%) corresponding (84.7%). While less further away full potential, results indicate both sets do not use advanced match industry’s potential. We suggest agricultural policy should focus providing regionally specific technologies, as improved varieties fit working environment lagging area, help improve resource minimize gaps.