Abstract
Abstract Background: Regions at the level of NUTS 3, which is a system used in the EU for various analyses and statistical reports, can be defined as functional regions in terms of labour markets, education areas, and supply markets. Objectives: This study analyses the functional regions of Slovenia, differentiated by gender, and their correspondence with the statistical regions at the level of NUTS 3. Methods/Approach: Functional regions are analysed as labour market areas, which are modelled according to the CURDS method, and evaluated using the fuzzy set approach. Results: The analysis of functional regions resulted in ten regions for male commuters and fourteen regions for female commuters. Only four of the twelve functional regions for commuters relate to the corresponding statistical regions. Functional region Ljubljana is much larger than the corresponding statistical region, mainly at the expense of neighbouring regions. In recent decades, two new functional regions have been created which are becoming candidates for inclusion in the system of NUTS 3 regions. Conclusions: A detailed analysis showed that functional region Velenje is becoming an important local labour market and should be included in the system of NUTS 3 regions of Slovenia, while the Central Sava Statistical Region should be removed from it.
Highlights
The Nomenclature of Territorial Units for Statistics (NUTS) is a system for the collection, compilation and dissemination of European statistics at different territorial levels of the European Union (EU)
Before performing an iterative procedure of the CURDS method, we must define the four parameters with which we model the functional regions (FRs); these are the minimum number of Employed active population (EAP) in FR, the target number of EAP in FR, the minimum self-sufficiency of FR and the target self-sufficiency of FR; we consider self-sufficiency to be the smaller of the two self-sufficiencies considered: SC = min(SSSC, Demand-side self-sufficiency (DSSC))
The study examined whether the statistical regions, i.e. the regions at the level NUTS 3 in Slovenia, still correspond to the gravitational zones around the more important regional centres as defined more than 40 years ago (Vrišer, 1974, 1978; Rebec, 1983, 1984; Vrišer & Rebernik, 1993)
Summary
The Nomenclature of Territorial Units for Statistics (NUTS) is a system for the collection, compilation and dissemination of European statistics at different territorial levels of the European Union (EU). The nomenclature NUTS divides the economic territory of the Member States hierarchically into territorial units. Regions at the level of NUTS 3, which is a system used in the EU for various analyses and statistical reports, can be defined as functional regions in terms of labour markets, education areas, and supply markets. Objectives: This study analyses the functional regions of Slovenia, differentiated by gender, and their correspondence with the statistical regions at the level of NUTS 3. Methods/Approach: Functional regions are analysed as labour market areas, which are modelled according to the CURDS method, and evaluated using the fuzzy set approach. Conclusions: A detailed analysis showed that functional region Velenje is becoming an important local labour market and should be included in the system of NUTS 3 regions of Slovenia, while the Central Sava Statistical Region should be removed from it.
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