Can development axes be identified by socio-economic variables? The case of Czechia

Author:

Blažek Jiří,Netrdová Pavlína

Abstract

This article aims to contribute to existing analyses of regional development in the post-socialist countries of Central and Eastern Europe (CEE) by conducting a detailed regional analysis at the municipal (LAU II) level in Czechia. The focus on such a detailed regional level allows for the testing of several hypotheses, for which traditional regional analyses based on NUTS II – NUTS III data were insufficient. First, we investigate whether development axes, as used in planning documents, manifest themselves at a higher level of socioeconomic development. Second, we expect the formation of clusters, exhibiting a higher level of socioeconomic development, around strong growth centres, such as the city of Mladá Boleslav. Third, we explore whether increasing differentiation has shifted from the regional level to the microregional/local level during the past 15 years of the post-socialist transformation. To address these hypotheses, we analyze a set of socioeconomic variables with the help of the spatial autocorrelation method, which allows us to generalize the inevitably, highly fragmented patterns found at the local level.

Funder

Ministerstvo Školství, Mládeže a Tělovýchovy

Grantová Agentura České Republiky

Grantová Agentura, Univerzita Karlova

Publisher

Czech Geographical Society

Subject

Earth-Surface Processes,Geography, Planning and Development

Reference65 articles.

1. ANSELIN, L. (1988): Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic Publishers.

2. Local Indicators of Spatial Association-LISA

3. ANSELIN, L. (2003): An introduction to spatial autocorrelation analysis with Geoda; https://geoda.uiuc.edu/pdf/spauto.pdf.

4. ANSELIN, L., SYABRI, I., KHO, Y. (2004): GeoDa: An Introduction to Spatial Data Analysis; https://geoda.uiuc.edu/pdf/geodaGA.pdf.

5. ASHEIM, B., COOKE, P. et al (2006): Constructing Regional Advantage, Final report of the project, Brussels, DG RESEARCH.

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