<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Subject and purpose of work:</bold> The article presents the results of research into the dynamics of changes in income distribution as measured by means of GDP per capita for the regions Bulgaria and Slovakia using quantitative methods.<bold>Materials and methods:</bold> The transition matrix was used as a research tool. As some authors note, since most of the research is limited to the assessment and analysis of global trends, this does not allow to distinguish the situation in which regions maintain their relative position from the situations in which the general distribution of income changes slightly while the location of some regions changes significantly. In this case, individual regions may differ considerably in their rate of development even in the periods when no convergence was observed.<bold>Results:</bold> The approach adopted in this study made it possible to verify the degree of diversification of the economic strength of the regions examined and conduct a comparative analysis of the dynamics of changes in the transition matrices.<bold>Conclusions:</bold> It was concluded that the regions of Slovakia and Bulgaria are developing at the same pace. Income stability can be observed. It is justifiable to look for and workout modern tools that will enable tracking changes in regional development.</abstract>

Subject and purpose of work: The article presents the results of research into the dynamics of changes in income distribution as measured by means of GDP per capita for the regions Bulgaria and Slovakia using quantitative methods.Materials and methods: The transition matrix was used as a research tool. As some authors note, since most of the research is limited to the assessment and analysis of global trends, this does not allow to distinguish the situation in which regions maintain their relative position from the situations in which the general distribution of income changes slightly while the location of some regions changes significantly. In this case, individual regions may differ considerably in their rate of development even in the periods when no convergence was observed.Results: The approach adopted in this study made it possible to verify the degree of diversification of the economic strength of the regions examined and conduct a comparative analysis of the dynamics of changes in the transition matrices.Conclusions: It was concluded that the regions of Slovakia and Bulgaria are developing at the same pace. Income stability can be observed. It is justifiable to look for and workout modern tools that will enable tracking changes in regional development.

Quantitative Assessment of the Dynamics of Changes in the GDP Per Capita Index in the Regions of Bulgaria and Slovakia

Ignacy Łukasiewicz Rzeszów University of Technology

Economic and Regional Studies / Studia Ekonomiczne i Regionalne

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Subject and purpose of work: The article presents the results of research into the dynamics of changes in income distribution as measured by means of GDP per...

Quantitative Assessment of the Dynamics of Changes in the GDP Per Capita Index in the Regions of Bulgaria and Slovakia

Online veröffentlicht: 09. Juli 2019

Seitenbereich: 127 - 135

Eingereicht: 01. Mai 2019

Akzeptiert: 01. Mai 2019

DOI: https://doi.org/10.2478/ers-2019-0012

Schlüsselwörter
GDP per capita, regional development, quantitative methods

© 2019 Agata Surówka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Quantitative Assessment of the Dynamics of Changes in the GDP Per Capita Index in the Regions of Bulgaria and Slovakia

Online veröffentlicht: 09. Juli 2019

Seitenbereich: 127 - 135

Eingereicht: 01. Mai 2019

Akzeptiert: 01. Mai 2019

DOI: https://doi.org/10.2478/ers-2019-0012

SchlüsselwörterGDP per capita, regional development, quantitative methods

© 2019 Agata Surówka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
GDP per capita, regional development, quantitative methods