The impact of socio-economic and political factors on the development of e-government in developed and developing countries

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Type of the article: Research Article

Abstract
The current direction of state development is its focus on citizens (G2C). This transition is accompanied by digitalization, which enables the provision of services to citizens to reach a whole new level through e-government. The aim of this study is to identify the factors in the socio-economic and political environments that influence the formation of e-government across countries. Based on panel data (UN, World Bank, World Intellectual Property Organization, International Monetary Fund) for 48 countries for 2014–2024, regression and dynamic analyses were performed. It has been established that the main factors influencing the e-government index are the human development index (1.29–1.78), the ease of doing business index (–0.00069), the global innovation index (–0.0038), and gross domestic product per capita (4.47e-06). For developed countries, human development (1.9) and innovation (0.0081) are significant, while for developing countries, economic prosperity (1.62) and the business environment (1.61e-05) are significant. Dynamic models confirm the lag effect of the e-government rating (0.43), which indicates the stability of institutional factors. It has been found that the development of e-government is determined by the impact of the innovation economy, human capital, and the openness of state institutions, which form the cumulative effect of the digital transformation of governance.

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    • Table 1. Implementation of the G2C concept in the context of digitalization of public services in the Republic of Kazakhstan
    • Table 2. Sample of countries for the study
    • Table 3. Descriptive statistics for selected variables
    • Table 4. Correlation between selected variables
    • Table 5. Results of panel regression analysis (based on the total sample)
    • Table 6. Panel regression test results
    • Table 7. Panel regression analysis for developed countries
    • Table 8. Panel regression analysis for developing countries
    • Table 9. Regression analysis based on the GMM approach
    • Conceptualization
      Alibek Samarkhanov, Gulsara Junusbekova, Zhaxat Kenzhin
    • Formal Analysis
      Alibek Samarkhanov, Zhaxat Kenzhin
    • Methodology
      Alibek Samarkhanov, Gulsara Junusbekova, Zhaxat Kenzhin
    • Resources
      Alibek Samarkhanov, Zhaxat Kenzhin
    • Validation
      Alibek Samarkhanov
    • Visualization
      Alibek Samarkhanov, Zhaxat Kenzhin
    • Writing – original draft
      Alibek Samarkhanov, Zhaxat Kenzhin
    • Project administration
      Gulsara Junusbekova, Zhaxat Kenzhin
    • Supervision
      Gulsara Junusbekova
    • Writing – review & editing
      Gulsara Junusbekova, Zhaxat Kenzhin
    • Software
      Zhaxat Kenzhin, Daulet Yesmagambetov
    • Data curation
      Daulet Yesmagambetov
    • Funding acquisition
      Daulet Yesmagambetov
    • Investigation
      Daulet Yesmagambetov