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Pregled bibliografske jedinice broj: 75799

Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment


Cziraky, Dario; Puljiz, Jakša; Jurlin, Krešimir; Meleković, Sanja; Polić, Marijo
Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment // From Industry to Advanced Services: Perspectives of European Metropolitan Region / Bade, F.J. ; Blote, V. ; Heinrich, H. ; Brauser, H.L. (ur.).
Dortmund: European Regional Science Association, 2002. str. 1-29 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment

Autori
Cziraky, Dario ; Puljiz, Jakša ; Jurlin, Krešimir ; Meleković, Sanja ; Polić, Marijo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
From Industry to Advanced Services: Perspectives of European Metropolitan Region / Bade, F.J. ; Blote, V. ; Heinrich, H. ; Brauser, H.L. - Dortmund : European Regional Science Association, 2002, 1-29

Skup
43nd Congress of the European Regional Science Association

Mjesto i datum
Dortmund, 27-31 August

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Regional development; Covariance structure analysis; Multivariate methods; Factor analysis; Structural equation modelling; Latent variables

Sažetak
This paper proposes a multivariate statistical approach based on covariance structure analysis for assessment of the regional development level with an application to development ranking of 545 Croatian municipalities. Municipality-level data ware collected on economic, structural, and demographic dimensions and preliminary factor and principal component analysis were computed to analyse empirical groupings of the variables. Next, confirmatory factor analytic models were estimated with the maximum likelihood technique and subsequently their implied structure was formally tested. Testing was extended to a joint model including all three dimensions (economic, structural and demographic) and their covariance structure was modelled with a recursive structural equation model. Finally, scores were estimated for latent variables thereby allowing (i) estimation of the latent development level of the territorial units, (ii) ranking of all units on an interval scale in respect to their latent development level, and (iii) selection of a given percentage of units for inclusion into special state-care subsidy programme.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Projekti:
0017001

Ustanove:
Institut za razvoj i međunarodne odnose

Profili:

Avatar Url Krešimir Jurlin (autor)

Avatar Url Jakša Puljiz (autor)


Citiraj ovu publikaciju:

Cziraky, Dario; Puljiz, Jakša; Jurlin, Krešimir; Meleković, Sanja; Polić, Marijo
Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment // From Industry to Advanced Services: Perspectives of European Metropolitan Region / Bade, F.J. ; Blote, V. ; Heinrich, H. ; Brauser, H.L. (ur.).
Dortmund: European Regional Science Association, 2002. str. 1-29 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Cziraky, D., Puljiz, J., Jurlin, K., Meleković, S. & Polić, M. (2002) Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment. U: Bade, F., Blote, V., Heinrich, H. & Brauser, H. (ur.)From Industry to Advanced Services: Perspectives of European Metropolitan Region.
@article{article, year = {2002}, pages = {1-29}, keywords = {Regional development, Covariance structure analysis, Multivariate methods, Factor analysis, Structural equation modelling, Latent variables}, title = {Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment}, keyword = {Regional development, Covariance structure analysis, Multivariate methods, Factor analysis, Structural equation modelling, Latent variables}, publisher = {European Regional Science Association}, publisherplace = {Dortmund} }
@article{article, year = {2002}, pages = {1-29}, keywords = {Regional development, Covariance structure analysis, Multivariate methods, Factor analysis, Structural equation modelling, Latent variables}, title = {Covariance Structure Analysis of Regional Development Data: An Application to Municipality Development Assessment}, keyword = {Regional development, Covariance structure analysis, Multivariate methods, Factor analysis, Structural equation modelling, Latent variables}, publisher = {European Regional Science Association}, publisherplace = {Dortmund} }




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