IMPROVING THE METHODOLOGY FOR ASSESSING THE EFFICIENCY OF IMPLEMENTING DIGITAL ECONOMY TECHNOLOGIES IN REGIONAL GOVERNANCE SYSTEMS
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Keywords

digital economy regional governance digital transformation econometric assessment digital infrastructure e-government services efficiency

How to Cite

Kurbonova, M. (2026). IMPROVING THE METHODOLOGY FOR ASSESSING THE EFFICIENCY OF IMPLEMENTING DIGITAL ECONOMY TECHNOLOGIES IN REGIONAL GOVERNANCE SYSTEMS. Innovation Economy, 6(6), 18-21. https://doi.org/10.70769/3030-315X.II.6.6.2026.2

Abstract

This article improves the methodology for assessing the efficiency of implementing digital economy technologies in regional governance systems. The study analyzes the impact of digital infrastructure, e-government services, and digital transformation processes on economic efficiency at the regional level. Based on econometric approaches, evaluation mechanisms are developed, and practical recommendations for optimizing regional development are proposed.

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References

[1] Organisation for Economic Co-operation and Development. (2024). Digital Economy Outlook 2024. Paris: OECD Publishing.

[2] United Nations Conference on Trade and Development. (2023). Digital Economy Report 2023: Value Creation and Capture - Implications for Developing Countries. Geneva: United Nations.

[3] World Bank. (2021). World Development Report 2021: Data for Better Lives. Washington, DC: World Bank.

[4] Указ Президента Республики Узбекистан от 14 октября 2024 года № ПП-358. “О стратегии развития технологий искусственного интеллекта”. - Ташкент.

[5] Государственный комитет Республики Узбекистан по статистике. (2023). Статистический сборник по развитию информационно-коммуникационных технологий. - Ташкент.

[6] Государственный комитет Республики Узбекистан по статистике. (2023). Социально-экономическое развитие Кашкадарьинской области (статистические данные). - Ташкент.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Qurbonova, M.A. (Muallif)

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