The dependencies of economic indicators towards violent crime: a case study in Malaysia / Muhammad Akmal Ridzuan Abd Rahim

Abd Rahim, Muhammad Akmal Ridzuan (2016) The dependencies of economic indicators towards violent crime: a case study in Malaysia / Muhammad Akmal Ridzuan Abd Rahim. Degree thesis, Universiti Teknologi MARA Cawangan Kelantan.

Abstract

Crime has become a major phenomenon across the world. Several studies found that macroeconomic variables were related with the occurrence of violent crime. This study attempts to examine the relationship between economic indicators, which is represented by, unemployment, GDP per capita and population density, towards violent crime. Data from the period of 1985 to 2014 have been collected. SPSS program was used for this study to analyze the model suggested. This study reveals that there is a significant relationship for unemployment and population density towards violent crime in Malaysia. In contrast, GDP per capita has no significant relationship towards violent crime in Malaysia. It was found that the violent crime is expected to increase for every one unit increase in unemployment and population density. This study also highlighted recommendation to the policy maker and potential subsequent researcher.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Abd Rahim, Muhammad Akmal Ridzuan
2014825942
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ya, Assoc. Prof. Dr. Mohamad Safri
UNSPECIFIED
Subjects: H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Crime
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Victims of crimes. Victimology. Fear of crime
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Commercial crimes. Financial crimes. White collar crimes
Divisions: Universiti Teknologi MARA, Kelantan > Kota Bharu Campus
Programme: Bachelor of Business Economics (Hons) Business Economics
Keywords: violent crime, GDP per capita, unemployment rate, population density
Date: July 2016
URI: https://ir.uitm.edu.my/id/eprint/37579
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