Title page for etd-0620116-180157


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URN etd-0620116-180157
Author Tai-pin Shih
Author's Email Address No Public.
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Department Economics
Year 2015
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Investigating the Relationship between Income Inequality and Criminal Cases based on Types of Crimes
Date of Defense 2016-07-04
Page Count 63
Keyword
  • income inequality
  • crime rate
  • Gini coefficient
  • fixed effect
  • panel data
  • Abstract The causes of crimes are complex and diverse. According to previous studies, the occurrence of crimes is related to social and
    economic factors. This study investigates panel data of 20 cities in Taiwan from 1998 to 2014. In addition, we investigate relationship between three major types of crime rate, including grand total crime, larceny, and violent crime, and income inequality.
    In this study, we selected Gini coefficient, social and economic variables, and police-detered variables, and used pooled OLS model and fixed effect model to investigate the occurrence of three major types of crime. The empirical results show that the Gini coefficient has a positive correlation with the occurrence rate of grand total crime and has a negative correlation with the occurrence rate of larceny and violent crime. Number of employed persons, per capita policing expenditure and cracked rate of grand total crime have significant negative correlations with the occurrence rate of three major types of crimes. Divorce rate has a significant positive correlation with the occurrence rate of three major types of crimes. According to the pooled OLS model, population density has a significant positive correlation with the occurrence rate of grand total crime; according to the fixed effect model, population density has a negative correlation with the occurrence rate of grand total crime. For both the pooled OLS model and the fixed effect model, population density has significant positive correlations with the occurrence rate of larceny and violent crime. In the pooled OLS model, the police officer to population ratio has a negative correlation with the occurrence rate of violent crime; in the fixed effect model, the police officer to population ratio has a positive correlation with the occurrence rate of violent crime. In both the pooled OLS model and the fixed effect model, the police officer to population ratio has positive correlations with the occurrence rate of grand total crime and larceny.
    In summary, income inequality, social and economic factors have significant influence with the occurrence of crimes. The results accorded with previous studies. The empirical results can serve as a reference for policy plan of public security and for future research.
    Advisory Committee
  • Tzu-wei Wang - chair
  • Ching-Nun Lee  - co-chair
  • Su-Lien Lu - advisor
  • Shu-Chun Yang - advisor
  • Files
  • etd-0620116-180157.pdf
  • Indicate in-campus at 99 year and off-campus access at 99 year.
    Date of Submission 2016-07-20

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