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Estimation of Crime Vulnerable Group’s Influence on Crime Types by Multiple Regression Analysis

  • Crisisonomy
  • Abbr : KRCEM
  • 2020, 16(1), pp.51-66
  • DOI : 10.14251/crisisonomy.2020.16.1.51
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general
  • Received : November 27, 2019
  • Accepted : December 13, 2019
  • Published : January 31, 2020

Oh, Hoo 1 Won, Jeong-Hun 1 Park Ki Yong 1

1충북대학교

Accredited

ABSTRACT

This paper identified crime vulnerable groups by crime type through performing a multiple regression analysis. Based on the review of prior studies, seven crime vulnerable groups (independent variable) were classified such as the elderly, children and youth, foreigners, female, basic livelihood security recipients, one-person households and multicultural families. Crime types (dependent variable) include heinous crime, theft crime, violent crime, intelligent crime, crime against the customs, other criminal crimes, and special crimes. The results of statistical analyses were as follows: First, crime vulnerable groups differed by crime types. Second, the elderly and children/youth showed a negative coefficient in all crime types. Third, foreigners were positively related with special crimes, while female was vulnerable to theft and violent crime. Multicultural families were vulnerable to heinous crime, while the basic livelihood security recipients were related to violent crime, intelligent crime, crime against the customs and other criminal crimes. The results of this study are expected to contribute to eliminating unnecessary fear of crime and developing customized measures based on the vulnerable characteristics of each crime type.

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