Evolutionary Economics for European Economies

A special issue of Economies (ISSN 2227-7099). This special issue belongs to the section "Economic Development".

Deadline for manuscript submissions: closed (29 December 2025) | Viewed by 1059

Special Issue Editor


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Guest Editor
1. Mathematics and Geo-Information Department, Vienna University of Technology, Karlsplatz 13, 1040 Wien, Austria
2. Political Economy of European Integration Institute 105-3, SWM Economics, University of Technology of Vienna, Wiedner Hauptstrasse 6-8, A-1040 Vienna, Austria
Interests: evolutionary economics; Euro zone; game theory; information science and knowledge models; financial reform; political economy; development economics
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Special Issue Information

Dear Colleagues,

In 2025, the political economy of Europe as part of the world economy entered a new and unique constellation: with the possible end of the Cold War and global military powers concentrating outside the European peninsula, the European unification process is forced to rely on the rather diverse evolutionary economic dynamics of European countries. For the first time in history, these countries now have to start a self-imposed unification, which builds on the power of being diverse. Throughout history, Europe’s diversity has usually only been treated as a deficiency. This Special Issue provides views on such a process and is made up of the work of a selection of leading economists from different European countries. If European unification succeeds from this fresh attempt, then it will clearly be a role model for the world economy.

This Special Issue will collect the latest perspectives on the changed geopolitical situation in 2025.

Prof. Dr. Hardy Hanappi
Guest Editor

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Keywords

  • evolutionary economic theory
  • European political economy
  • creative diversity
  • democratic governance mechanisms
  • digital democracy
  • European peace project
  • anti-authoritarianism

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Published Papers (1 paper)

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Research

19 pages, 1419 KB  
Article
Empirical Assessment of the Multiplier Effects of the EU Recovery and Resilience Facility Using Machine Learning
by Silvia Zarkova
Economies 2025, 13(12), 338; https://doi.org/10.3390/economies13120338 - 21 Nov 2025
Viewed by 759
Abstract
This research demonstrates the potential of machine learning for revealing the fiscal effects of the Recovery and Resilience Facility (RRF) in the European Union. It focuses on the use of a hybrid approach, based on traditional econometric methods combined with advanced data machine [...] Read more.
This research demonstrates the potential of machine learning for revealing the fiscal effects of the Recovery and Resilience Facility (RRF) in the European Union. It focuses on the use of a hybrid approach, based on traditional econometric methods combined with advanced data machine learning techniques. For this purpose, the following were applied: a panel data model with fixed effects, difference-in-differences analysis, correlation analysis, and machine learning, specifically, random forest regression, for the period of 2020–2024, including indicators from all 27 EU member states. The results of the conducted tests establish the effectiveness of the Recovery and Resilience Facility for fiscal stabilization, but also its high vulnerability to specific economic conditions in the individual member states. The complex relationships between the amount of funds received and the fiscal outcomes, which classical models fail to capture, were derived. A positive stabilizing effect on the indebtedness of countries with a clearly expressed imbalance in the public debt-to-gross domestic product ratio was demonstrated. Full article
(This article belongs to the Special Issue Evolutionary Economics for European Economies)
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