Title
Primena multivarijacione analize u formiranju kompozitnog indeksa razvijenosti okruga u Srbiji : doktorska disertacija
Creator
Igić, Vladan
Copyright date
2014
Object Links
Select license
Autorstvo-Nekomercijalno 3.0 Srbija (CC BY-NC 3.0)
License description
Dozvoljavate umnožavanje, distribuciju i javno saopštavanje dela, i prerade, ako se navede ime autora na način odredjen od strane autora ili davaoca licence. Ova licenca ne dozvoljava komercijalnu upotrebu dela. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc/3.0/rs/deed.sr_LATN Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
Other responsibilities
mentor
Janković-Milić, Vesna
član komisije
Đorđević, Vera
član komisije
Veselinović, Petar 1969-
Academic Expertise
Društveno-humanističke nauke
University
Univerzitet u Nišu
Faculty
Ekonomski fakultet
Group
Katedra za opštu ekonomsku teoriju
Title translated
THE MULTIVARIATE ANALYSIS APPLICATION IN CREATING THE COMPOSITE INDEX OF DISTRICT DEVELOPMENT IN THE REPUBLIC OF SERBIA
Publisher
Niš : [V. Igić]
Format
PDF/A (215 listova)
description
Umnoženo za odbranu.
Univerzitet u Nišu, Ekonomski fakultet, 2014.
Summary.
Napomene i bibliografske reference uz tekst.
Bibliografija: listovi 183-195.
Kratka biografija kandidata: list [196].
description
Economic statistics, the application of mathematical and statistical methods in economic research
Abstract (en)
One of the most important issues of economic policy of all countries is procuring a uniform economic development on entire territory. The regional unbalance of the degree of development among some territories in the Republic of Serbia constitutes one of the most complex development problems. Accentuated population decrease in some areas on one side, and large population and economy concentration in just a few cities on the other, produce negative effects on economic, social, spatial and ecological domain of the development of every country.
One of the segments of this study will focus on the choice of indicators used for determining the degree of regional development and for comprehending the factors that determine a regional development. For the purpose of analyzing the differences in development of territorial units in the Republic of Serbia, in this particular case – the districts, a methodology for quantification of regional differences, from the aspect of a number of relevant criteria, was developed by compacting individual indicators into a composite index of development.
The application of multivariate data analysis is of great importance in establishing the composite index, for the reason of getting an insight of correlations among variables (chosen indicators). It could include correlation analysis, regression analysis, factor analysis and others. In this dissertation, the emphasis will be placed on the factor analysis. The purpose of applying this method of multivariate analysis is that of determining whether different information, contained in the chosen district development indicators, is sufficiently balanced within the composite index.
When aggregating indicators into a composite index, some weights (indicator weights) obtained based on factor analysis results will be added. The goal is that the weight of indicator weights corresponds to the relative importance of each variable (indicator) within the composite index. In this particular case, indicator weights would be the adequate factorial loading values obtained from factor analysis. After calculating the composite index for each district and its posterior analysis, the final result of this doctoral thesis would be the ranking of districts in the Republic of Serbia according to the values of the obtained composite index of development.
Authors Key words
Kompozitni indeks, regionalni razvoj, okrug, indikatori, faktorska analiza
Authors Key words
regional development, district, indicator, composite index, factor analysis
Subject
519.2
Subject
519.237
Type
Elektronska teza
Abstract (en)
One of the most important issues of economic policy of all countries is procuring a uniform economic development on entire territory. The regional unbalance of the degree of development among some territories in the Republic of Serbia constitutes one of the most complex development problems. Accentuated population decrease in some areas on one side, and large population and economy concentration in just a few cities on the other, produce negative effects on economic, social, spatial and ecological domain of the development of every country.
One of the segments of this study will focus on the choice of indicators used for determining the degree of regional development and for comprehending the factors that determine a regional development. For the purpose of analyzing the differences in development of territorial units in the Republic of Serbia, in this particular case – the districts, a methodology for quantification of regional differences, from the aspect of a number of relevant criteria, was developed by compacting individual indicators into a composite index of development.
The application of multivariate data analysis is of great importance in establishing the composite index, for the reason of getting an insight of correlations among variables (chosen indicators). It could include correlation analysis, regression analysis, factor analysis and others. In this dissertation, the emphasis will be placed on the factor analysis. The purpose of applying this method of multivariate analysis is that of determining whether different information, contained in the chosen district development indicators, is sufficiently balanced within the composite index.
When aggregating indicators into a composite index, some weights (indicator weights) obtained based on factor analysis results will be added. The goal is that the weight of indicator weights corresponds to the relative importance of each variable (indicator) within the composite index. In this particular case, indicator weights would be the adequate factorial loading values obtained from factor analysis. After calculating the composite index for each district and its posterior analysis, the final result of this doctoral thesis would be the ranking of districts in the Republic of Serbia according to the values of the obtained composite index of development.
“Data exchange” service offers individual users metadata transfer in several different formats. Citation formats are offered for transfers in texts as for the transfer into internet pages. Citation formats include permanent links that guarantee access to cited sources. For use are commonly structured metadata schemes : Dublin Core xml and ETUB-MS xml, local adaptation of international ETD-MS scheme intended for use in academic documents.
