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The study applied stochastic production frontier (SPF) analysis to measure the technical efficiency of beef suya producers in Edo State, Nigeria. Specifically, it described the socio-economic characteristics of beef Suya producers, estimated the maximum likelihood function of the SPF of beef suya production, determined the technical efficiency (TE) of beef suya producers, and examined the determinants of technical inefficiency (TIE) of the suya producers in the study area. A multi-stage sampling procedure that combined purposive and random sampling techniques was employed to sample 277 respondents from the sample frame of 900 beef Suya producers for the study. However, 255 beef producers provided useful information for analysis, which was done using descriptive statistics, SPF and TIE model. The maximum likelihood estimates of the SPF showed that labour, fresh beef and ingredients positively and significantly influenced the output of beef suya. The log-likelihood ratio test indicated the significant (p<0.01) presence of inefficiency parameters in the SPF model used, thus, justifying its application in the analysis. About 22% of the variation in output of the beef suya was due to TIEs of the suya producers, and their mean technical efficiency was 72%. On determinants of the producers’ technical inefficiencies, age, experience and level of involvement in suya production negatively influenced their TIE while household size positively influenced their TIE. The study concluded that there was still room for increasing the TE of the suya producers by 28% through improvement in the use of inputs and level of their socio-economic characteristics, which are the determinants of the producers’ inefficiency. It was recommended that the beef suya producers should be trained on efficient production process to further improve their technical efficiency.