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The Socio-Economic Efficiency of Digital Government Transformation

Author

Listed:
  • Anna Sanina
  • Aleksey Balashov
  • Mariia Rubtcova

Abstract

The article is devoted to the understanding of digital government transformation (DGT) as key to improving public administration and governance. The paper complements the debate regarding DGT rationale in public administration, providing theoretical and empirical analysis of its socio-economic impact and performance in governance. The empirical part is based on two regression analyses exploring indicators of DGT and public administration performance. The article concludes that (1) DGT is understood as innovation, but innovation in the public sector is also commonly associated with DGT, (2) this innovation helps to reshape the governance to match the society’s needs, (3) the policy-based approach to DGT is not enough explanation of its rationale and efficiency, and (4) there are certain improvements in the socio-economic sphere that are related to DGT and thus help one understand its meaning for the contemporary world.

Suggested Citation

  • Anna Sanina & Aleksey Balashov & Mariia Rubtcova, 2023. "The Socio-Economic Efficiency of Digital Government Transformation," International Journal of Public Administration, Taylor & Francis Journals, vol. 46(1), pages 85-96, January.
    • Handle: RePEc:taf:lpadxx:v:46:y:2023:i:1:p:85-96
    DOI: 10.1080/01900692.2021.1988637
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    Citations

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    Cited by:

    1. Gao, Pengfei & Li, Zhiyi & Shi, Rubiao, 2024. "Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data," Resources Policy, Elsevier, vol. 92(C).
    2. Yao Men & Yuanyuan Xu & Kaiyi Yang & Zijian Wang & Xiang Ji, 2025. "Institutional pressure, resource orchestration, and the digital government performance: a mixed methods study in the case of China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    3. Wang, Feng & Rani, Tayyaba & Razzaq, Asif, 2024. "Resource curse, energy consumption, and moderating role of digital governance: Insights from South Asian countries," Resources Policy, Elsevier, vol. 98(C).
    4. repec:rom:arasju:v:4:y:2023:i:3:p:19-31 is not listed on IDEAS
    5. Zhang, Yuan & Li, Yunqian, 2025. "The impact of artificial intelligence on government digital service capacity," International Review of Economics & Finance, Elsevier, vol. 102(C).
    6. Sandip Mukhopadhyay & Sumedha Chauhan & Manas Paul & Subhajit Bhattacharyya & Parijat Upadhyay & Shekhar Kumar Sinha, 2025. "Why do few Organizations Succeed while Others Fail? Impact of Organizational Capabilities and Barriers on Digital Government Transformation," Information Systems Frontiers, Springer, vol. 27(5), pages 2213-2231, October.
    7. Rui Tang, 2024. "Can digital economy improve tourism economic resilience? Evidence from China," Tourism Economics, , vol. 30(6), pages 1359-1381, September.
    8. Sun, Chuanwang & Khan, Anwar & Xue, Juntao & Huang, Xiaoyong, 2024. "Are digital economy and financial structure driving renewable energy technology innovations: A major eight countries perspective," Applied Energy, Elsevier, vol. 362(C).
    9. Zhang, Longpeng & Zhang, Xingye, 2025. "Impact of digital government construction on the intelligent transformation of enterprises: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    10. Li, Jun & He, Wei & Li, Guilong, 2024. "Natural resources, economic complexity and growth nexus: Role of digital governance in addressing the resource curse," Resources Policy, Elsevier, vol. 92(C).
    11. Yan Ping & Wu Yingqin & Wu gang & Wasi Ul Hassan Shah, 2025. "Economic efficiency evaluation, regional technological heterogeneity, and total factor productivity change in the industrial sector of China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.

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