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Abstract
The main goal of this article is to analyze the social convergence process using Markov chains. In this research, term social convergence refers to the reduction of dispersion in the standard of living among countries. The use of Markov chains in the social convergence analysis allowed describing movements of observational units within the distribution and providing more details about the mechanism of the convergence process. A taxonomy spatial measure of development, proposed by Antczak, was used as the standard of living approximation. The use of a new approach allowed to explain the disparities in the analyzed phenomenon by taking into account the immeasurable spatial factor. The analysis included 24 Member States of the European Union over 1995-2012 period. The results of the analysis indicate the existence of convergence in the European Union.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- The 9th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena strony 118 - 126
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Kuc-Czarnecka M..: The use of Markov chains in the social convergence analysis, W: The 9th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena, 2015, Foundation of the Cracow University of Economics ,.
- Verified by:
- Gdańsk University of Technology
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