Does the location and the institutional background matter in convergence modelling of the EU regions?
| Title: | Does the location and the institutional background matter in convergence modelling of the EU regions? |
|---|---|
| Authors: | Chocholatá, Michaela1 michaela.chocholata@euba.sk, Furková, Andrea1 andrea.furkova@euba.sk |
| Source: | Central European Journal of Operations Research. Sep2017, Vol. 25 Issue 3, p679-697. 19p. |
| Subject Terms: | *Stochastic convergence, *Per capita, *Growth rate, *Econometric models, *Income |
| Abstract: | The paper focuses on the testing of regional income convergence of NUTS2 EU regions during the 2000-2011 period with the emphasis on conditional income convergence using both non-spatial and spatial approaches. In order to examine the fact that the per capita GDP growth rate in one region may be associated with the growth rate in neighbouring regions, our empirical part begins with the Exploratory Spatial Data Analysis (ESDA). This preliminary analysis based on the ESDA tools has suggested the appropriateness of the spatial aspect in income regional convergence modelling. Following these results, we proceed with the estimation of the beta-convergence models for purpose of verifying various absolute and conditional convergence hypotheses. The estimation of the income convergence models confirmed that the spatial dependence among regions does matter. We have also employed the dummy variable corresponding to the former political orientation of the regions in order to test the conditional convergence hypothesis assuming that it controls for different country specific factors. The incorporation of the dummy variable enabled us to assess the speed of convergence and the half-life time separately for two groups of regions under the consideration (post-communist or not). Almost all hypotheses of the analysed convergence models were confirmed. The inclusion of spatial effects to the models always led to worsening of the convergence characteristics. Overall, the results of our analysis imply that convergence process is not determined only by a region's initial income and other specific factors but also essentially by its neighbourhood region's growth performance. [ABSTRACT FROM AUTHOR] |
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| FullText | Links: – Type: pdflink Text: Availability: 0 CustomLinks: – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:bth&genre=article&issn=1435246X&ISBN=&volume=25&issue=3&date=20170901&spage=679&pages=679-697&title=Central European Journal of Operations Research&atitle=Does%20the%20location%20and%20the%20institutional%20background%20matter%20in%20convergence%20modelling%20of%20the%20EU%20regions%3F&aulast=Chocholat%C3%A1%2C%20Michaela&id=DOI:10.1007/s10100-016-0447-6 Name: Full Text Finder (for New FTF UI) (s8985755) Category: fullText Text: Find It @ SCU Libraries MouseOverText: Find It @ SCU Libraries |
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| Items | – Name: Title Label: Title Group: Ti Data: Does the location and the institutional background matter in convergence modelling of the EU regions? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chocholatá%2C+Michaela%22">Chocholatá, Michaela</searchLink><relatesTo>1</relatesTo><i> michaela.chocholata@euba.sk</i><br /><searchLink fieldCode="AR" term="%22Furková%2C+Andrea%22">Furková, Andrea</searchLink><relatesTo>1</relatesTo><i> andrea.furkova@euba.sk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Central+European+Journal+of+Operations+Research%22">Central European Journal of Operations Research</searchLink>. Sep2017, Vol. 25 Issue 3, p679-697. 19p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Stochastic+convergence%22">Stochastic convergence</searchLink><br />*<searchLink fieldCode="DE" term="%22Per+capita%22">Per capita</searchLink><br />*<searchLink fieldCode="DE" term="%22Growth+rate%22">Growth rate</searchLink><br />*<searchLink fieldCode="DE" term="%22Econometric+models%22">Econometric models</searchLink><br />*<searchLink fieldCode="DE" term="%22Income%22">Income</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The paper focuses on the testing of regional income convergence of NUTS2 EU regions during the 2000-2011 period with the emphasis on conditional income convergence using both non-spatial and spatial approaches. In order to examine the fact that the per capita GDP growth rate in one region may be associated with the growth rate in neighbouring regions, our empirical part begins with the Exploratory Spatial Data Analysis (ESDA). This preliminary analysis based on the ESDA tools has suggested the appropriateness of the spatial aspect in income regional convergence modelling. Following these results, we proceed with the estimation of the beta-convergence models for purpose of verifying various absolute and conditional convergence hypotheses. The estimation of the income convergence models confirmed that the spatial dependence among regions does matter. We have also employed the dummy variable corresponding to the former political orientation of the regions in order to test the conditional convergence hypothesis assuming that it controls for different country specific factors. The incorporation of the dummy variable enabled us to assess the speed of convergence and the half-life time separately for two groups of regions under the consideration (post-communist or not). Almost all hypotheses of the analysed convergence models were confirmed. The inclusion of spatial effects to the models always led to worsening of the convergence characteristics. Overall, the results of our analysis imply that convergence process is not determined only by a region's initial income and other specific factors but also essentially by its neighbourhood region's growth performance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Central European Journal of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10100-016-0447-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 679 Subjects: – SubjectFull: Stochastic convergence Type: general – SubjectFull: Per capita Type: general – SubjectFull: Growth rate Type: general – SubjectFull: Econometric models Type: general – SubjectFull: Income Type: general Titles: – TitleFull: Does the location and the institutional background matter in convergence modelling of the EU regions? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chocholatá, Michaela – PersonEntity: Name: NameFull: Furková, Andrea IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 1435246X Numbering: – Type: volume Value: 25 – Type: issue Value: 3 Titles: – TitleFull: Central European Journal of Operations Research Type: main |
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