Construction of Composite Indicator Based on Factor Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F13%3A%230000242" target="_blank" >RIV/46747885:24310/13:#0000242 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Construction of Composite Indicator Based on Factor Analysis

Popis výsledku v původním jazyce

The aim of this paper is to propose a methodology for determining the weights of the criteria and the subsequent construction of a composite indicator for the assessment of socio-economic status of municipalities. To determine the weights of sub-indicators entering the composite indicator the results of factor analysis were used. Weights of the indicators were set based on the proportion of variance expla-nation of a given indicator. Composite indicator was then created using the additive method of Weighted Sum Average. Sub-indicators include 27 variables whose crite-rion values were transformed to a scale from 0 to 1 according to the type of the variable, and then for each municipality value of the composite indicator was deter-mined. Composite indicator serves as a comprehensive assessment of the state of the economic pillar of municipalities in processing spatial analytical data. The proposed methodology was then tested on a set of 6,249 municipalities in the Czech Republic. Accordi

Název v anglickém jazyce

Construction of Composite Indicator Based on Factor Analysis

Popis výsledku anglicky

The aim of this paper is to propose a methodology for determining the weights of the criteria and the subsequent construction of a composite indicator for the assessment of socio-economic status of municipalities. To determine the weights of sub-indicators entering the composite indicator the results of factor analysis were used. Weights of the indicators were set based on the proportion of variance expla-nation of a given indicator. Composite indicator was then created using the additive method of Weighted Sum Average. Sub-indicators include 27 variables whose crite-rion values were transformed to a scale from 0 to 1 according to the type of the variable, and then for each municipality value of the composite indicator was deter-mined. Composite indicator serves as a comprehensive assessment of the state of the economic pillar of municipalities in processing spatial analytical data. The proposed methodology was then tested on a set of 6,249 municipalities in the Czech Republic. Accordi

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/TD010029" target="_blank" >TD010029: Vymezení subregionů pro rozlišení a řešení sociálních a ekonomických disparit</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 31st International Conference Mathematical Methods in Economics 2013

ISBN

978-80-87035-76-4

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1013-1018

Název nakladatele

College of Polytechnics Jihlava

Místo vydání

Jihlava

Místo konání akce

Jihlava

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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