NUTS2 regions of the Visegrad countries during the Covid-19 pandemic and recovery

Módosné Szalai, Szilvia and Kálmán, Botond Géza and Tóth, Arnold and Gyurián, Norbert and Dhruv, Pratap Singh and Dávid, Lóránt Dénes and Jenei, Szonja (2025) NUTS2 regions of the Visegrad countries during the Covid-19 pandemic and recovery. REGIONAL STATISTICS, 15 (3). pp. 1-21. ISSN 2063-9538 (In Press)

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Abstract

Keywords: Economic Recovery, COVID-19 Pandemic, Visegrád Group (V4), NUTS2 Regions, Jánossy Trendline Theory Abstract The study investigates the economic recovery of the NUTS2 regions in the Visegrád Group (V4) countries following the COVID-19 pandemic. The authors apply Ferenc Jánossy's trendline theory, which posits that economic recovery is considered complete when development levels align with pre-crisis trends rather than merely reaching pre-pandemic levels. The analysis focuses on GDP per capita adjusted for purchasing power parity (PPP) in these regions to determine the duration and factors influencing recovery. The research also examines the extent to which the lag of peripheral areas changed as a result of the health crisis in each country and region. The study highlights the impacts of different regional economic policies by analyzing regional economic indicators and their deviations from projected trends during 2020-2022. The results reveal significant regional differences. Regions with diversified economies, strong agricultural sectors, or rapid adaptability, such as Łódzkie in Poland and Bratislava in Slovakia, performed relatively well. In contrast, areas dependent on tourism and services, which suffered significantly from pandemic-related restrictions, faced more significant challenges. The analysis emphasizes the importance of sectoral diversity and adaptability in mitigating the impacts of economic crises. The study provides a detailed analysis of similarities and differences among the V4 countries. For example, Slovakia and Hungary experienced the crisis's impacts to varying degrees, partly due to their economic policy decisions and structural characteristics. In Slovakia, the Bratislava region quickly adapted to the changes, while Budapest's dominance became even more pronounced in Hungary. However, the relative underdevelopment of rural areas increased, particularly in regions where industry and agriculture were less able to adapt to the crisis's challenges. The research also highlights that the economic crisis triggered by the COVID-19 pandemic had different effects on various industries and regions. Regions heavily reliant on international tourism, such as Prague or the Balaton region in Hungary, experienced significant declines. In contrast, areas dominated by agriculture and industry remained relatively stable, as these sectors were able to adapt quickly to the new situation.

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