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<p>The aim of this study is to estimate thtrae influence of information and communication technology, based on the use of the ICT development index (measured by the number of Internet users, fixed broadband Internet subscribers, and the number of mobile subscriptions per 100 inhabitants), on economic development measured by gross domestic product (GDP) per capita. For this purpose, data were collected from a panel of 43 European countries from 2000 to 2020, and three econometric models were used to investigate the impact of ICT use on GDP per capita growth. First, multiple linear regression (MLR) and least absolute shrinkage and selection operator (LASSO) regression were used to research the impact of ICT use on individual countries. Then, a generalized linear dynamic data (GLD) panel model was taken to provide a general model of the dependence of the observed variables. Accordingly, a positive and significant relationship between real GDP per capita and ICT use in Europe is confirmed. The obtained results also show that the impact of ICT on economic growth is greater in low-income countries, i.e., those belonging to Eastern and Central Europe. It is crucial that governments follow the dynamics of the ICT sector and implement specific policies.</p>

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The Influence of Information and Communication Technology on Economic Growth in Europe

  • 期刊论文

  • 发表日期：

    2025年1月31日

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  • Brankica Pažun,
  • Zlatko Langović,
  • Vladica S. Stojanović,
  • Ana Langović Milićević,
  • Ivan Božović

摘要

The aim of this study is to estimate thtrae influence of information and communication technology, based on the use of the ICT development index (measured by the number of Internet users, fixed broadband Internet subscribers, and the number of mobile subscriptions per 100 inhabitants), on economic development measured by gross domestic product (GDP) per capita. For this purpose, data were collected from a panel of 43 European countries from 2000 to 2020, and three econometric models were used to investigate the impact of ICT use on GDP per capita growth. First, multiple linear regression (MLR) and least absolute shrinkage and selection operator (LASSO) regression were used to research the impact of ICT use on individual countries. Then, a generalized linear dynamic data (GLD) panel model was taken to provide a general model of the dependence of the observed variables. Accordingly, a positive and significant relationship between real GDP per capita and ICT use in Europe is confirmed. The obtained results also show that the impact of ICT on economic growth is greater in low-income countries, i.e., those belonging to Eastern and Central Europe. It is crucial that governments follow the dynamics of the ICT sector and implement specific policies.