Measuring regional disparities on competitiveness basis
Several economic theories and empirical analyses have been put forth about the nature and principles of regional disparities. Analysts often apply GDP per capita, as a quasi absolute indicator to explore regional disparities, albeit spatial processes have become more and more complicated and complex...
Elmentve itt :
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| Dokumentumtípus: | Könyv része |
| Megjelent: |
2009
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| Sorozat: | SZTE Gazdaságtudományi Kar közleményei
Regional competitiveness, innovation and environment |
| Kulcsszavak: | Versenyképesség - gazdasági, Regionális fejlesztés |
| Tárgyszavak: | |
| Online Access: | http://acta.bibl.u-szeged.hu/36246 |
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| 022 | |a 1588-8533 | ||
| 040 | |a SZTE Egyetemi Kiadványok Repozitórium |b hun | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lukovics Miklós | |
| 245 | 1 | 0 | |a Measuring regional disparities on competitiveness basis |h [elektronikus dokumentum] / |c Lukovics Miklós |
| 260 | |c 2009 | ||
| 300 | |a 39-53 | ||
| 490 | 0 | |a SZTE Gazdaságtudományi Kar közleményei | |
| 490 | 0 | |a Regional competitiveness, innovation and environment | |
| 520 | 3 | |a Several economic theories and empirical analyses have been put forth about the nature and principles of regional disparities. Analysts often apply GDP per capita, as a quasi absolute indicator to explore regional disparities, albeit spatial processes have become more and more complicated and complex in the globalized economy. Parallel to the catching-up process of the countries at the national level, there is another spectacular process at the regional and local level: regional disparities are widening because the growth of the most developed sub-regions is increasing while the less favoured sub-regions are lagging behind. Consequently, regional analyses must devote increasing attention to studying sub-regions. The present paper is aiming to develop a complex method on analyzing regional disparities, based on the notion of regional competitiveness and its closed logical system, correctly chosen theoretical model (the pyramidal model of regional competitiveness) and statistical data. To carry out the analysis, I use K-means cluster analysis, and its output. This is the first time ever that this has been used for this purpose. | |
| 650 | 4 | |a Társadalomtudományok | |
| 650 | 4 | |a Közgazdasági és gazdálkodástudományok | |
| 695 | |a Versenyképesség - gazdasági, Regionális fejlesztés | ||
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/36246/1/gtk_2009_en_039-053.pdf |z Dokumentum-elérés |