An empirical analysis of challenges of implementing AfCFTA on South Africa’s trade in the SADC region: evidence using the PPML Estimation Technique

Abstract

Intra-SADC trade has not met the target that was set by the African Continental Trade Agreement (AfCFTA) of achieving 22% by the year 2022 due to a myriad of various trade-related challenges. This present study aims to compare the results of using a Poisson Maximum Likelihood Estimator (PPML) with Random Effects (RE), Fixed Effects (FE), and an Ordinary Least Squares (POLS) model on a balanced panel of select eight Southern African Development Community (SADC) members that trade with South Africa over the period 2010-2022. The paper empirically examines how South Africa’s overlapping Regional Economic Community (REC) membership affects bilateral trade. Also, the examination of how the impact of distance between South Africa and its trading partners impacts bilateral trade. The study findings are that PPML provides more robust results than other estimation techniques in estimating the gravity model for a balanced micro panel. From the PPML results, distance has a significant negative impact at a 5% level on bilateral exports from South Africa which implies that SADC countries that are relatively far in terms of distance from South Africa and landlocked tend to experience a relative fall in exports from South Africa.  However, multiple REC membership has a positive and significant impact of 1% level of significance on bilateral trade contrary to the negative relationship that was expected. The study recommends the speedy conclusion of outstanding AfCFTA issues for member states to effectively benefit from the economies that economic geography presents.