Articles

The Impact of Gross Domestic Product and Economic Growth on Tax Revenues in Five Asean Countries

The study was conducted to determine the impact of gross domestic product and economic growth on tax revenues in five ASEAN countries, namely Indonesia, the Philippines, Malaysia, Thailand, and Vietnam. Considering the importance of the influence of a country’s gross domestic product and economic growth in maximizing tax revenues, which are the main source of revenue in developing countries. In this study, variables for gross national product, economic growth, and tax revenues were used. This study used derived data and was analyzed using the Eviews app. The results of this study show that gross domestic growth and gross economic growth have a positive and significant impact on tax revenues at the same time. Gross domestic product has a positive and significant impact on tax revenues. Variable economic growth also has a positive and significant effect on tax revenues. In order to maximize tax revenue, each country’s government has strived to find different ways to increase tax revenues, such as tax reform, cooperation with ASEAN countries, improving tax administrations through a digitalization system to facilitate tax payment and reporting.

Contribution of Population Growth on Economic Growth in Rwanda (1992-2022)

This study examines the impact of changes in population size on economic growth in Rwanda between 1992 and 2022. The research methodology involves the use of secondary data from World Bank development indicators. The key variables analysed include population size, gross capital formation expenditure, and gross domestic product growth rate. A multivariate time series analysis was used to examine the impact of population on economic growth in this study. Diagnostic tests were conducted, and the results indicated that the model was sound. The variables were not significantly affected by heteroskedasticity and serial correlation problems. During the unit root test, it was found that all variables were stationary at the level using intercept and trend. This led to the use of the Ordinary Least Square model. The findings reveal a complex relationship between population dynamics, gross capital formation, and economic growth in Rwanda. The R-squared value was found to be close to one, indicating that population growth and gross capital formation explain economic growth to the greatest extent. The findings from the study showed that population has negative relationship with economic growth. Gross capital formation also plays a crucial role in driving economic growth by facilitating investment activities across different sectors.