Abstract: The main purpose of this study was to analyse the effectiveness of import trade risk selectivity system in Ethiopian customs commission risk management process. The study aims to examine how strongly manual selection, rule base selection, random selection and list base selection method are associated with detection rate. The study employed descriptive and explanatory method with quantitative research approach. Three years secondary data from Ethiopian customs risk management system was collected. For this study there are four independent variables; manual selectivity, rule base selectivity, random selectivity and list base selectivity with one dependent variable i.e. detection rate. The collected data were analyzed using descriptive and inferential statistics. For this research, Pearson correlation coefficient was applied to examine how strongly each selectivity method is associated with detection rate. From the analysis result, it was concluded that manual and rule base selectivity’s have strong negative association with detection rate while random and list base selectivity’s have strong positive and weak positive association respectively. Recommendations were also given to compliance and risk directorate has to continue with strengthening the existing working process and procedure regarding on manual selection method, the directorate has to work more to improve efficiency and effectiveness of rule base selection through automatic risk profile analysis of importers and goods and revising the current selectivity criteria.
Abstract: The main purpose of this study was to analyse the effectiveness of import trade risk selectivity system in Ethiopian customs commission risk management process. The study aims to examine how strongly manual selection, rule base selection, random selection and list base selection method are associated with detection rate. The study employed descript...Show More
