TY - JOUR
T1 - Geographic Distribution of Economic Inequality and Crime in Indonesia
T2 - Exploratory Spatial Data Analysis and Spatial Econometrics Approach
AU - Widyastaman, Putu Angga
AU - Hartono, Djoni
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2024/6
Y1 - 2024/6
N2 - Indonesia has serious crime issues. Since there are pieces of evidence that economic inequality may cause crime incidences, various studies have been carried out to verify the relationship. However, very few of these studies considered the geographical pattern and spatial linkages between crime and its determinants, particularly inequality. This paper examines the geographical pattern of economic inequality and crime as well as local and spillover effects of within and across-districts/cities inequality on the crime rate. Using data from 483 Indonesian districts/cities from 2010 to 2020, this study employed local indicators of spatial association (LISA) analysis to examine geographical patterns between economic inequality and crime and the panel spatial Durbin model to investigate the spatial effects, including local and spillover effects. LISA analysis yielded geographic-based information regarding clusters of economic inequality and crime, thus providing insight into the spatial pattern of those variables. Furthermore, panel spatial Durbin results have shown that using property and other crime rate as the dependent variable, strong positive local and spillover effect of within-region and across-region economic inequality on crime rates was observed.
AB - Indonesia has serious crime issues. Since there are pieces of evidence that economic inequality may cause crime incidences, various studies have been carried out to verify the relationship. However, very few of these studies considered the geographical pattern and spatial linkages between crime and its determinants, particularly inequality. This paper examines the geographical pattern of economic inequality and crime as well as local and spillover effects of within and across-districts/cities inequality on the crime rate. Using data from 483 Indonesian districts/cities from 2010 to 2020, this study employed local indicators of spatial association (LISA) analysis to examine geographical patterns between economic inequality and crime and the panel spatial Durbin model to investigate the spatial effects, including local and spillover effects. LISA analysis yielded geographic-based information regarding clusters of economic inequality and crime, thus providing insight into the spatial pattern of those variables. Furthermore, panel spatial Durbin results have shown that using property and other crime rate as the dependent variable, strong positive local and spillover effect of within-region and across-region economic inequality on crime rates was observed.
KW - Crime
KW - Economic Inequality
KW - Indonesia
KW - Inequality Decomposition
KW - Spatial Analysis
KW - Spatial Econometrics
UR - http://www.scopus.com/inward/record.url?scp=85179319676&partnerID=8YFLogxK
U2 - 10.1007/s12061-023-09556-5
DO - 10.1007/s12061-023-09556-5
M3 - Article
AN - SCOPUS:85179319676
SN - 1874-463X
VL - 17
SP - 547
EP - 571
JO - Applied Spatial Analysis and Policy
JF - Applied Spatial Analysis and Policy
IS - 2
ER -