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Open AccessArticle10.1016/s2212-5671(15)00484-0

Spatial Autocorrelation Method for Local Analysis of The EU

Lukáš Melecký-2015-01-01-Procedia Economics and Finance
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TL;DRAbstract

The aim of the paper is to identify the relevant variables in specified EU territory and time, which contributed to detection of territorial disparities, and its consequences within the structural constraints of the analysed area. Spatial autocorrelation statistics detect the presence of interdependence between the values of data at neighbouring locations. Paper presents the results of spatial analysis that identify the problem-ridden and developed territories within the EU based on the characteristics of those which describe driving forces of competitiveness, also in terms of long-term potentiality, and those which are direct or indirect outcomes of a competitive society and economy.

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The aim of the paper is to identify the relevant variables in specified EU territory and time, which contributed to detection of territorial disparities, and its consequences within the structural constraints of the analysed area. Spatial autocorrelation statistics detect the presence of interdependence between the values of data at neighbouring locations. Paper presents the results of spatial analysis that identify the problem-ridden and developed territories within the EU based on the characteristics of those which describe driving forces of competitiveness, also in terms of long-term potentiality, and those which are direct or indirect outcomes of a competitive society and economy.

Keywords

Spatial analysisAutocorrelationEconomic geographyGeographyRegional scienceEconometricsStatisticsEconomics

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