Digital transformation and the relationship with economic growth

Abstract

bject: The main purpose of this article is to identify and assess the impact of digital transformation indicators on economic growth in Kazakhstan. Methods: For this study, we used methods of statistical multiple correlation and regression analysis based on the software package “Data Analysis” offered by MS Excel. We used data from the official website of the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the RK at stat.gov.kz. Findings: The primary selection of statistical indicators was carried out and a group of factors (and corresponding indicators) was determined hypothetically influencing economic growth for the period 2007-2020. There are 14 factors that have a significant impact on gross value added. Based on the selection of the most significant factors, a regression equation is constructed that demonstrates the degree of influence on the resulting GVA. The obtained regression model was evaluated. The found regression equation is significant according to the Fisher criterion, all its parameters, including the free term, are significant according to the Student's criterion with a maximum error of 0.07. The multiple correlation coefficient is 0.99. The obtained results can be useful in planning GDP and GVA, both at the regional and national level. Conclusions: In the system of gross value added indicators, an important place is occupied by the indicators of the number of organizations using the Internet, the unemployment rate and computer literacy of the population. The analysis demonstrates a strong relationship between these indicators. As a result, we saw that the relationship between these indicators can be explained by a linear equation with an average accuracy of 97%. At the same time, for a more adequate analysis of the situation, it is also necessary to take into account the inverse relationship between changes in unemployment rates in the Republic of Kazakhstan and added gross value. The negative correlation between these indicators confirms the vulnerability and instability of the economy from changes in the unemployment rate.