Beyond anecdotal evidence: Do subsidized housing developments increase neighborhood crime?
DC Field | Value | Language |
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dc.contributor.author | Woo, A young | - |
dc.contributor.author | Joh, Kenneth | - |
dc.date.accessioned | 2022-07-15T20:42:31Z | - |
dc.date.available | 2022-07-15T20:42:31Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2015-10 | - |
dc.identifier.issn | 0143-6228 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156146 | - |
dc.description.abstract | While planners and policymakers have advocated the need for project-based subsidized housing, they often face the challenge of strong community opposition due to the negative perceptions of subsidized housing and subsidized households, and the fear that these developments and residents would bring increased crime. This paper aims to extend beyond anecdotal evidence by examining the impact of a popular U.S. affordable housing program, the Low-Income Housing Tax Credit (LIHTC) program, on neighborhood crime rates. We estimate the levels and trends in neighborhood crime before and after LIHTC developments, based on crime incidents data from 2000 to 2009 in Austin, Texas, using the Adjusted Interrupted Time Series–Difference in Differences (AITS–DID) approach to clarify the causal direction of impacts of LIHTC developments. Results show that LIHTC subsidized housing tended to be developed in neighborhoods where crime was already prevalent, and contrary to popular perception, LIHTC developments have a mitigating impact on neighborhood crime. These results suggest that LIHTC developments may be an effective tool for revitalizing distressed neighborhoods by ameliorating the “broken windows” problem and reducing neighborhood crime. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier BV | - |
dc.title | Beyond anecdotal evidence: Do subsidized housing developments increase neighborhood crime? | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Woo, A young | - |
dc.identifier.doi | 10.1016/j.apgeog.2015.09.004 | - |
dc.identifier.scopusid | 2-s2.0-84943163353 | - |
dc.identifier.wosid | 000366225000009 | - |
dc.identifier.bibliographicCitation | Applied Geography, v.64, pp.87 - 96 | - |
dc.relation.isPartOf | Applied Geography | - |
dc.citation.title | Applied Geography | - |
dc.citation.volume | 64 | - |
dc.citation.startPage | 87 | - |
dc.citation.endPage | 96 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Geography | - |
dc.relation.journalWebOfScienceCategory | Geography | - |
dc.subject.keywordPlus | Austin | - |
dc.subject.keywordPlus | Texas | - |
dc.subject.keywordPlus | United States | - |
dc.subject.keywordAuthor | Causal direction | - |
dc.subject.keywordAuthor | Low-income housing tax credit | - |
dc.subject.keywordAuthor | Neighborhood crime | - |
dc.subject.keywordAuthor | Subsidized housing | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S014362281500212X?via%3Dihub | - |
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