Proceedings of the Achieving and Sustaining SDGs 2018 Conference: Harnessing the Power of Frontier Technology to Achieve the Sustainable Development Goals (ASSDG 2018)

THE IMPACT OF EXPENDITURE INEQUALITY AND SOCIOECONOMIC ON CRIME RATES IN INDONESIA. CROSS SECTIONAL STUDY USING SPATIAL ECONOMETRICS AND GEOGRAPHICALLY WEIGHTED REGRESSION

Authors
Donny Hardiawan, Arief Anshory Yusuf, Bagdja Muljarijadi
Corresponding Author
Donny Hardiawan
Available Online January 2019.
DOI
10.2991/assdg-18.2019.14How to use a DOI?
Keywords
crime, socioeconomic, expenditure inequality, spatial econometric, geographically weighted regression, spatial dependence, spatial heterogeneity
Abstract

Social disorganization theory has indicated that socioeconomic have a negative impact on crime. In contrast to the study literature, Indonesia data showed that increasing in economic growth and decreasing in poverty and unemployment rates lead to higher crime rates. Based on previous literature, we hypotized this issue due to the increasing expenditure inequality in Indonesia. While majority of literatures used Gini ratio, we utilized Gini, Palma, and Decile dispersion ratio as an indicator of expenditure inequality. We attempts to used victimization data survey from SUSENAS, while the most of part of research of crime in Indonesia are used police reported data. Using cross-section data at district level in Indonesia in 2015, we employ the spatial econometrics method and geographically weighted regression (GWR) to (1) capture the relationship between inequality and socioeconomic on crime rates, (2) evaluate the impact of spatial dependence on crime rates, and (3) explore spatial heterogeneity in association between inequality and socioeconomic on crime rates. This study used 3 types of crime rates (total, property and violent crime rates) as the dependent variable and median expenditure per capita, unemployment, poverty, density and expenditure inequality as independent variables. The results suggest that crime is one of negative externalities of the economy. The regression analysis revealed that poverty and unemployment do not affect robust to crime rates, hence poverty and unemployment are not the main factors in causing crime in Indonesia. Furthermore, the results of regression analysis showed that Inequality has a significant positive effect on all types of crime rates, and the GWR regression result indicated that inequality has a positive effect on criminality in all districts. Therefore, among other variables used in this study, inequality is considered as the main factor causing criminality in Indonesia.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Achieving and Sustaining SDGs 2018 Conference: Harnessing the Power of Frontier Technology to Achieve the Sustainable Development Goals (ASSDG 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
978-94-6252-665-5
ISSN
2352-5398
DOI
10.2991/assdg-18.2019.14How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Donny Hardiawan
AU  - Arief Anshory Yusuf
AU  - Bagdja Muljarijadi
PY  - 2019/01
DA  - 2019/01
TI  - THE IMPACT OF EXPENDITURE INEQUALITY AND SOCIOECONOMIC ON CRIME RATES IN INDONESIA. CROSS SECTIONAL STUDY USING SPATIAL ECONOMETRICS AND GEOGRAPHICALLY WEIGHTED REGRESSION
BT  - Proceedings of the Achieving and Sustaining SDGs 2018 Conference: Harnessing the Power of Frontier Technology to Achieve the Sustainable Development Goals (ASSDG 2018)
PB  - Atlantis Press
SP  - 150
EP  - 169
SN  - 2352-5398
UR  - https://doi.org/10.2991/assdg-18.2019.14
DO  - 10.2991/assdg-18.2019.14
ID  - Hardiawan2019/01
ER  -