Analyzing and measuring digital economy indicators in both Iraq and Algeria using Data Panel models
DOI:
https://doi.org/10.36325/ghjec.v21i1.17934Keywords:
digital economy indicators, panel data, pooled regression model, fixed effects model, random effects model.Abstract
The study aimed to build models through which we can measure some indicators of the digital economy in both Iraq and Algeria for the period (2003-2022) by relying on four variables: the number of fixed band subscriptions, fixed broadband subscriptions, individuals who use the Internet, and mobile phone subscriptions. To demonstrate their impact on economic growth represented by (GDP), the study used the inductive approach to determine the indicators of the digital economy and placed these variables on one of the standard models (Data Panel) to determine the impact of these variables.
The study found, after comparing the three models and choosing the Pooled OLS regressionl, that there was a positive effect on (GDP) for the two indicators of mobile phone subscriptions and fixed broadband subscriptions, while there was a negative relationship for each of the indicators of individuals using the Internet, the number of fixed-line phone subscriptions, and Then it is possible to explain this negative relationship by saying that both Iraq and Algeria lag behind the rest of the other countries in these two indicators as a result of incorrect use or the absence of a real digital economy managed by an electronic government that aims to transform the economy from a traditional economy to a digital economy.
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