Recent performance appraisal of six Nigerian seaports using multivariate and data envelopment analysis

Abstract

Performance appraisal is a regular check which every organization adapts to regulate the performance of its establishment. It shows the relationships between outputs and input variables in organizations. The objective of the study is to review the performance of six Nigerian seaports between the periods of 2012-2017 by applying Data Envelopment Analysis (DEA), General Linear Model (GLM), and Multivariate Analysis (MVA) models. Data collected from Nigerian Ports Authority (NPA) statistics covers the periods (2012-2017) for each port. The empirical result shows that the following Seaports performed efficiently: Lagos Port (LP) in 2014, Tin Can Island Port (TCP) in 2014, Onne Port (OP) in 2014, and Calabar Port (CP) in 2012, 2013, 2014 and 2016. The least efficient performed seaport is Delta Port (DP) in 2012. Hence, the most efficient port over the years under study is Calabar Port (CP) while least performed port is Delta Port (DP). The results of the regression model and the multivariate analysis reject the null hypothesis and accept that at 5% level of significance there is a significant relationship between the input variables and output variables of each port, even that P-value is less than 0.005 (P<0.05).