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Ekononomicko-sociální úroveň krajů – komplexní srovnávací analýza


Economics

Ekononomicko-sociální úroveň krajů – komplexní srovnávací analýza

Name and surname of author:

David Martinčík

Year:
2008
Issue:
1
Keywords:
comparative analysis, economic n-agle, socio-economic level of regions
DOI (& full text):
Anotation:
The paper shows a method utilizable for valuation of widely defined socio-economic level of regions. The basic idea comes from so called magic or macroeconomics tetragon (diamond development chart, generally it is an economic n-agle) which is used to valuation of aggregate economic level of the whole national economies. There was 18 indicators used, they were segmented into three areas - the area of macroeconomics enforcement, the area of growth potential and the area of quality of live. The indicators on the border between nearby areas belong to both areas. All of 18 indicators lie within the beam chart thereby the octadecagon (18-agle) is created. The selection of indicators was determined by the data published by Czech statistical office. The selection presents as wide as possible spectrum of indicators and as long as possible time series. Available are compatilible data for the year 1995 and the period 2000-2005 for all of 14 regions (NUTS3). Therefore here designed octadecagon is optimal with regard to the quantity of all at once used data. The advantage is the comprehensive and wide valuation of regions. Disadvantage is the impossibility to respond on concrete and close questions, to fulfill this task would be necessary to use other indicators and data. It is not possible to use the capacity of limitation surface for the computation of the total index, as it is wrongfully used especially by magic macroeconomic tetragon. Therefore here are used only the averages within the separates areas and average of all indicators together. It is possible to perform several types of valuation. First is followed the dynamics of separate regions, whereas 100 % is the value of each of all indicators in the starting year 1995. Further is analyzed the position compared with the average of the whole Czech Republic and with the average of the Czech Republic without the capital Prague. The omission of Prague get past because Prague is very different from other regions and markedly…
The paper shows a method utilizable for valuation of widely defined socio-economic level of regions. The basic idea comes from so called magic or macroeconomics tetragon (diamond development chart, generally it is an economic n-agle) which is used to valuation of aggregate economic level of the whole national economies. There was 18 indicators used, they were segmented into three areas - the area of macroeconomics enforcement, the area of growth potential and the area of quality of live. The indicators on the border between nearby areas belong to both areas. All of 18 indicators lie within the beam chart thereby the octadecagon (18-agle) is created. The selection of indicators was determined by the data published by Czech statistical office. The selection presents as wide as possible spectrum of indicators and as long as possible time series. Available are compatilible data for the year 1995 and the period 2000-2005 for all of 14 regions (NUTS3). Therefore here designed octadecagon is optimal with regard to the quantity of all at once used data. The advantage is the comprehensive and wide valuation of regions. Disadvantage is the impossibility to respond on concrete and close questions, to fulfill this task would be necessary to use other indicators and data. It is not possible to use the capacity of limitation surface for the computation of the total index, as it is wrongfully used especially by magic macroeconomic tetragon. Therefore here are used only the averages within the separates areas and average of all indicators together. It is possible to perform several types of valuation. First is followed the dynamics of separate regions, whereas 100 % is the value of each of all indicators in the starting year 1995. Further is analyzed the position compared with the average of the whole Czech Republic and with the average of the Czech Republic without the capital Prague. The omission of Prague get past because Prague is very different from other regions and markedly increases the average of the whole Czech Republic in the area of macroeconomic enforcement and growth potential. There are presented all the results as in tables so in the charts, but the identification of causes of the differences is not perform because the length of the article is limited. The in the article presented method is also available for the valuation of the regions of the type NUTS2.
Section:
Economics

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