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MAJEROVÁ, Ingrid and Ainur ABDRAZAKOVA. Regional Development of Central European Countries in the Pre-COVID Period. Eurasian Business and Economics Perspectives. Cham: Springer Verlag, 2023, vol. 26, p. 359-376. ISSN 2364-5067. Available from: https://dx.doi.org/10.1007/978-3-031-30061-5_22.
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Basic information
Original name Regional Development of Central European Countries in the Pre-COVID Period
Authors MAJEROVÁ, Ingrid and Ainur ABDRAZAKOVA.
Edition Eurasian Business and Economics Perspectives, Cham, Springer Verlag, 2023, 2364-5067.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50202 Applied Economics, Econometrics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Organization unit School of Business Administration in Karvina
Doi http://dx.doi.org/10.1007/978-3-031-30061-5_22
Keywords in English Central European countries; Human development; Index of regional development; Min-max method; NUTS 2; Pairwise correlation
Tags International impact, Reviewed
Links CZ.02.1.01/0.0/0.0/17_049/0008452, research and development project.
Changed by Changed by: Dr. Ing. Ingrid Majerová, učo 48710. Changed: 20/12/2023 15:29.
Abstract
Reducing regional disparities within the European Union is one of the main objectives of EU cohesion policy. One way to monitor the failure/success of the above policy is to compare certain indicators assessing the level of human development. For this purpose, the aim of the paper was to create a composite index at the regional level (IRD—Index of Regional Development) in some Central European countries (Czech Republic, Hungary, and Slovakia) in the years between two crises: the global crisis and the crisis caused by the COVID-19. This index was created from 12 socioeconomic indicators: three economic indicators, three indicators of education, three indicators of health, and three indicators of the living standard. Afterward, the min-max method was used to construct the above index of regional development. The same variable weights were used to calculate this Index. In order to eliminate their double counting, the Pearson correlation coefficient was used. The created indexes were compared in years 2010 and 2019. Based on the principles of cohesion policy, assumptions about reducing regional disparities were ascertained and confirmed in the monitored economies.
Displayed: 18/7/2024 18:27