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SPATIAL ECONOMETRIC ANALYSIS OF CRIME: EVIDENCE FROM NUTS 3 REGIONS OF V4 COUNTRIES

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Vydáno v:Economic and Social Development: Book of Proceedings (Oct 18/Oct 19, 2018), p. 194
Hlavní autor: Chocholata, Michaela
Vydáno:
Varazdin Development and Entrepreneurship Agency (VADEA)
Témata:
Eurostat
Czech Republic
Chicago Illinois
Poland
Slovakia
United States > US
Research
Outliers (statistics)
Software
Spatial analysis
Crime
Criminal statistics
Population density
Demographics
Nuts
Indicators
Data analysis
Clusters
Statistical analysis
Conduction
Criminology
Data processing
Geography
Nomenclature
Spatial data
Impact analysis
Sociology
Weight
Spatial distribution
Economic models
Per capita
Gross Domestic Product > GDP
Econometrics
Lagrange multiplier
Maximum likelihood method
Statistical significance
Economic
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Abstrakt:This paper deals with the spatial analysis of crime in 2016 across the 113 NUTS 3 (Nomenclature of Units for Territorial Statistics) regions of the Czech Republic, Hungary, Poland and Slovakia (known as the V4, i.e. Visegrad 4, countries). The analysis is based on a total number of crimes per 1000 persons and includes conduction of an exploratory spatial data analysis (ESDA) and spatial econometric modelling. Both the box plot and box map of the distribution of the crime are presented. To investigate the spatial effects, the global Moran's I statistic together with the Moran scatterplot were employed. The presence of statistically significant positive spatial autocorrelation (based on queen case contiguity weight matrix) was confirmed. The local indicators of spatial association (LISA) were used to identify the local clusters. Since the statistically significant high-high clusters were confirmed for the 7 Hungarian regions, the low-low clusters occur across the 18 regions of the Czech Republic, Poland and Slovakia. The spatial outliers are represented by 2 Polish regions. Finally, the spatial econometric models were employed to assess the impact of location as well as of some economic and demographic indicators (GDP per capita, rate of employed persons and population density) on crimes in concrete region.
ISSN:1849-6903
1849-7535
Zdroj:ABI/INFORM Global