Digital Municipalities in Hungary: Examples of Participation and Engagement in the Orbit of the European Union’s Digital Strategies

Márton Gellén & Anett Horváth

Public Finance and Management2026https://doi.org/10.1177/15239721261418721article
ABDC B
Weight
0.50

What the paper says

This study examines the social and economic impacts of digital and “smart” settlement development in Hungary, focusing on the implementation of the European Union’s digital strategies within the framework of national programs such as the Digital Wellbeing Program and the Digital Settlement Program By analyzing four Hungarian case studies—Nagypáli, Ceglédbercel, Tamási, and the Northern Hegyháti Micro-Regional Union—the paper explores how digital technologies contribute to social cohesion, innovation capacity, and regional competitiveness. The findings indicate that the successful application of digitalization depends largely on community participation, municipal capacity, and institutional stability. Financial analysis reveals that while digitalization initially increases local expenditures, it enhances long-term fiscal efficiency through cost reduction and improved service delivery. The study concludes that the sustainability of Hungary’s digital settlement initiatives lies in the integration of technological modernization, social innovation, and regional cooperation, fostering both social renewal and fiscal resilience but with certain specificities which are connected to the nature of Hungary-EU relations.

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https://doi.org/https://doi.org/10.1177/15239721261418721

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@article{márton2026,
  title        = {{Digital Municipalities in Hungary: Examples of Participation and Engagement in the Orbit of the European Union’s Digital Strategies}},
  author       = {Márton Gellén & Anett Horváth},
  journal      = {Public Finance and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/15239721261418721},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.