Assessment of Baltics states regional Economic disparities according to GDP

Authors

DOI:

https://doi.org/10.15549/jeecar.v11i5.1650

Keywords:

Baltic States, cohesion, regional disparities, convergence, divergence, cohesion index, GDP

Abstract

Analysis of the challenges of cohesion at the country and regional levels becomes especially relevant due to EU expansion, the Great Recession, and uneven economic recovery after that. Recent global events, such as the COVID-19 pandemic and imposed lockdowns, have further intensified interest in this issue. This study aims to evaluate the disparities in the development of Baltic States' regions using the author's proposed methodology for calculating an aggregate cohesion index. Some important conclusions can be made from the data analysis. A common trend across all countries was the notable economic strength of capital regions, with GDP per capita significantly exceeding national averages. Despite the pandemic's limited impact in 2020, a clear divergence trend emerged in 2021. Additionally, the club convergence between less developed regions was observed, especially in Lithuania and Latvia. In addition, Lithuania uniquely exhibited three distinct groups of regions based on economic development, in comparison with only two groups in Estonia and Latvia.

Author Biography

Viktor Kozlovskij, Vilniaus kolegija / Higher Education Institution

Dr. Viktor Kozlovskij is an Associate Professor of Business Innovation Department at Vilniaus kolegija / Higher Education Institution. He obtained a degree in social sciences (economics) with cohesion between EU states and regions as the field of dissertation. He teaches economics (microeconomics and macroeconomics), enterprise economy, and advertising campaign budget. Fields of research: Economic Cohesion, EU Regional Economics, Macroeconomics.

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Published

2024-10-05

How to Cite

Kozlovskij, V. (2024). Assessment of Baltics states regional Economic disparities according to GDP. Journal of Eastern European and Central Asian Research (JEECAR), 11(5), 887–902. https://doi.org/10.15549/jeecar.v11i5.1650