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Relationship Between Social Support Factors and Major Crimes
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Hong Sok (Brian) Kim | - |
dc.contributor.author | 박수정 | - |
dc.date.accessioned | 2017-07-14T06:56:19Z | - |
dc.date.available | 2017-07-14T06:56:19Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.other | 000000066690 | - |
dc.identifier.uri | https://hdl.handle.net/10371/126138 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 농경제사회학부(지역정보전공), 2015. 8. Hong Sok (Brian) Kim. | - |
dc.description.abstract | Crimes must be reduced not only because of the financial, physical, and emotional damages they bring to the victims but also because crimes increase social costs by elevating distrust in society and instilling fear. With the increasing number of crimes in Korea, finding other factors that affect the occurrence of crimes is necessary beyond the current viewpoint for crime analysis. Social support factors can be candidates for studies on the social support effect on crime occurrence at their initial stage. In this study, we identified the effect of social support factors on crime occurrence or deterrence, none of which has been considered important until now, given the emergence of spatial econometrics. The resulting Morans I values revealed the existence of a spatial autocorrelation in all three crimes: heinous crimes, theft, and violence. As shown in the analysis using spatial econometrics and ordinary least squares, social support from families is significant in reducing all crimes especially violence. Social support from the local government is significant in preventing only theft. The spatial econometrics model is only valid in heinous crimes. These different effects of social support factors and spatial factors on crime occurrences are caused by the different characteristics of crimes. Hence, policy makers should consider the social support effect when they establish policies related to social housing or welfare. | - |
dc.description.tableofcontents | Chapter 1. Introduction 1
Chapter 2. Literature Review 6 Section 1. Social Disorganization Theory 7 Section 2. Social Support Theory 10 Section 3. Other Theories 13 Section 4. Spatial Econometrics 15 Chapter 3. Research Model 18 Section 1. Variables 19 Section 2. Methodology 31 Chapter 4. Result 37 Section 1. Descriptive Statistics 38 Section 2. Analysis by Econometrics Models 40 Chapter 5. Conclusion 49 Section 1. Discussion and Policy Implication 49 Section 2. Limitation 51 Reference 53 Appendix 56 Abstract 71 | - |
dc.format | application/pdf | - |
dc.format.extent | 11165499 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Social Support Factors | - |
dc.subject | Crimes | - |
dc.subject | Spatial analysis | - |
dc.subject | Social Disorganization Theory | - |
dc.subject.ddc | 338 | - |
dc.title | Relationship Between Social Support Factors and Major Crimes | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | Sujeong Park | - |
dc.description.degree | Master | - |
dc.citation.pages | 72 | - |
dc.contributor.affiliation | 농업생명과학대학 농경제사회학부 | - |
dc.date.awarded | 2015-08 | - |
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