EXAMINING THE ECONOMIC CONVERGENCE IN CENTRAL AND EASTERN EUROPE BY USING THE MARKOV CHAIN METHOD

Zoltan Egri, Ferenc Arany, Marta Paraszt, Marta Paraszt

Abstract


Promoting convergence among regions is one of the European Union's (EU) political goals. In our study we analyse this phenomenon on the level of NUTS3 in the post-socialist Central and Eastern Europe. One of the methods used to analyse the change in economic inequalities is the Markov chain model.
Using the model, we describe contexts related to regional convergence, responding to the existence and speed of the phenomenon, including its spatial characteristics. Based on the results, convergence in Central and Eastern Europe exists and takes a very long period of time. When analysing convergence, it is necessary to take into account the country effects (institutions) and the effective participation of metropolitan areas.


Keywords


Central Eastern Europe; convergence; Markov chain model; mobility; GDP

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Copyright (c) 2019 Zoltan Egri, Márta Paraszt, Ferenc Arany

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ISSN print 1453-1410
ISSN online 2069-2307
(former ISSN 1453-1410, E-ISSN 2069-2307)

PUBLISHER: AGROPRINT Timisoara, Romania
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