Multivariate analysis of the determinants of e-government

Abstract

This study aims to determine the correlation between four variables, gross domestic product per capita (GDP), population (Pop.), Individuals using the Internet (It.net.user) and the global innovation index (GII) regarding the development of e-government according to the E-government Development Index (EDGI). The purpose is to determine which model best predicts the behavior of the variables and to provide tools that can guide decision-making in public policy and e-government. Four hypotheses were proposed about the relationship between the variables and the E-government Development Index. The data about GDP, Pop., It.net.users, and GII for the analysis were extracted from the United Nations Department of Economic and Social Affairs, the World Bank and Cornell University, INSEAD, and the World Intellectual Property Organization (WIPO) respectively. The database consisted of a panel of 91 countries analyzed in the time interval from 2003 to 2020, with a total of 1683 observations. A linear panel data model was used, and fixed and random effects models were estimated. The Hausman test was applied, and it was determined that the appropriate statistical model was a fixed effects model. This model was used to test the four hypotheses. All of them were accepted.