Relation between Long-term Liabilities and Selected Indicators in the Case of Municipalities with Extended Powers in the South Moravian Region

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F16%3APU119652" target="_blank" >RIV/00216305:26510/16:PU119652 - isvavai.cz</a>

Výsledek na webu

<a href="http://ppa.mruni.eu" target="_blank" >http://ppa.mruni.eu</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13165/VPA-16-15-2-11" target="_blank" >10.13165/VPA-16-15-2-11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Relation between Long-term Liabilities and Selected Indicators in the Case of Municipalities with Extended Powers in the South Moravian Region

Popis výsledku v původním jazyce

The purpose of this article is to summarise data on long-term liabilities in municipalities with extended powers in the South Moravian Region and to determine whether these long-term liabilities correspond to the number of subsidized organizations and the rate of transfers to the income in the budget of the municipality. It is assumed that long-term liabilities per capita will be higher in municipalities with a larger number of subsidized organisations and that they will be higher in the case of municipalities with a higher rate of transfers to their budget income (i.e. in the case of municipalities that are less financially self-sufficient). Data provided by the Ministry of Finance of the Czech Republic was used which was processed via statistical methods (descriptive statistics, correlation analysis and cluster analysis). Subject to the calculation of correlation coefficients, only the transfer ratio was usable for the cluster analysis because the value of the correlation coefficient between the long-term liabilities per capita and the number of subsidised organisations showed insignificant dependency. Therefore, we were unable to prove our assumption number one, that long-term liabilities if expressed on a per capita basis would be higher in the case of municipalities which operate a higher number of subsidized organisations. However, the outcomes of the cluster analysis did not confirm the second assumption. All we could declare was that extreme values appeared to have grouped up: municipalities with the highest (or lowest, as the case might have been) values of the long-term liabilities per capita showed the highest (or lowest, as the case might have been) transfer ratio

Název v anglickém jazyce

Relation between Long-term Liabilities and Selected Indicators in the Case of Municipalities with Extended Powers in the South Moravian Region

Popis výsledku anglicky

The purpose of this article is to summarise data on long-term liabilities in municipalities with extended powers in the South Moravian Region and to determine whether these long-term liabilities correspond to the number of subsidized organizations and the rate of transfers to the income in the budget of the municipality. It is assumed that long-term liabilities per capita will be higher in municipalities with a larger number of subsidized organisations and that they will be higher in the case of municipalities with a higher rate of transfers to their budget income (i.e. in the case of municipalities that are less financially self-sufficient). Data provided by the Ministry of Finance of the Czech Republic was used which was processed via statistical methods (descriptive statistics, correlation analysis and cluster analysis). Subject to the calculation of correlation coefficients, only the transfer ratio was usable for the cluster analysis because the value of the correlation coefficient between the long-term liabilities per capita and the number of subsidised organisations showed insignificant dependency. Therefore, we were unable to prove our assumption number one, that long-term liabilities if expressed on a per capita basis would be higher in the case of municipalities which operate a higher number of subsidized organisations. However, the outcomes of the cluster analysis did not confirm the second assumption. All we could declare was that extreme values appeared to have grouped up: municipalities with the highest (or lowest, as the case might have been) values of the long-term liabilities per capita showed the highest (or lowest, as the case might have been) transfer ratio

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50201 - Economic Theory

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Public Policy and Administration

ISSN

2029-2872

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

13

Strana od-do

334-346

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84979202552