Automation of revenue collection, revenue mapping, revenue legislations and revenue generation in Pallisa district local government

Abstract

The study examined the effect of automation of revenue collection, revenue mapping and revenue legislations on revenue generation in PDLG. The study was guided by the following objectives; to examine the effect of automation of revenue collection on revenue generation, to assess the effect of revenue mapping on revenue generation, to evaluate the effect of revenue legislations on revenue generation in PDLG. The study used a cross-sectional research design and a quantitative approach. Data was collected from a target population of 73 employees with accessible sample size of 62, using simple random and purposive sampling techniques. Data was collected with the aid of a closed ended questionnaire and the statistical package for social sciences (SPSS) was employed to analyze data from which frequency tables, descriptive statistics (mean and standard deviation), reliability and validity, correlation and regression results were obtained. The study findings revealed that there is a positive and significant effect of automation of revenue collection on revenue generation; revenue mapping on revenue generation; and revenue legislations on revenue generation. The study recommends that to improve revenue generation in District Local Governments, automation of revenue collection, revenue mapping and revenue legislations should be embraced. Finally, the study concludes that there is a strong predictive power that automation of revenue collection, revenue mapping and revenue legislations contribute towards enhancing revenue generation in PDLG.