ASSESSMENT OF TRANSMISSION EFFECTS BETWEEN “CORRUPTION-DIGITIZATION-ECONOMIC GROWTH”

Abstract

The last decade has seen the rapid development of digital information technology, the intellectualization of control systems, the increase in the number and capacity of mobile and computer devices, and the accumulation of large amounts of data and its processing through machine learning algorithms, which inevitably leads to new opportunities for economic development. Rapid digitalization and its penetration into various spheres of public life contributed to increasing the level of transparency of public administration, strengthening public control, and reducing the bureaucratization of society. Hence, digital technologies can serve as tools to fight corruption and create conditions for intensive economic growth. Therefore, the topic based on the study of transmission effects in the chain "corruption-digitization-economic growth" is relevant. The work aims to develop methodological tools for assessing the transmission effects between digitalization, corruption level decrease, and economic growth. The following methods were used for the study: Levin-Lin-Chu, Hadri, Pesaran, and Chin tests, Dickey-Fuller tests - to check stationary variables; statistical criterion Kao - to check the existence of cointegration relationship between variables; modified least-squares method - to estimate regression coefficients based on panel data; coefficient of determination and Jarque-Bera test – to verify the adequacy of the econometric model. An empirical study confirmed the hypothesis of the presence of transmission effects between indicators that characterize the level of corruption in the economy, digitalization, and economic growth. It has been proven that the reduction of corruption and the growth of digitalization in studied countries contributes to economic growth.

Keywords

• digitalization
• corruption
• economic growth
• panel regression model