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Green Crime Havens

A Spatial Cluster Analysis of Environmental Crime

Bibliographic Data

ID10763233
AuthorsRyan W Thomson (0000-0001-8353-8970, Auburn University, corresponding author), Ryan Thomson, Johanna Espín (0000-0001-7299-6554, University of Florida), Johanna Espín Moscoso (0000-0003-0442-1331, University of Florida), Tameka Samuels‐Jones (0000-0002-4941-1623, University of Florida)
Year2020
Volume101
Issue2
Pages503-513
Publication date2020-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science Quarterly (JOURNAL)
Journal identifiersISSN: 0038-4941 • E-ISSN: 1540-6237
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ssqu.12773
OpenAlexW3001253358
LanguageEN
Citations received10
References cited27

Objectives The following study contributes to the bridging green criminology's quantitative research gap by analyzing the spatial distribution of environmental crimes throughout the United States. In doing so, we consider the possibility of green crime havens; areas with elevated health risks associated with dense concentrations of green criminal behavior. Methods Using data obtained from the U.S. Environmental Protection Agency ECHO database, we conduct a spatial cluster analysis to identify counties bearing a disproportionate number of the Clean Water Act, Clean Air Act, and Resource Conservation and Recovery Act violations. Results Findings affirm the existence of numerous green crime havens with violations occurring both within and across different types of pollution cases. Conclusions The study concludes with a theoretical reflection of the treadmill of crime and corresponding series of policy recommendations

Agency (philosophy) · Cluster (spacecraft) · Crime analysis · Criminology · Environmental crime · Environmental justice · Political science · Resource (disambiguation) · Sociology · Crime Patterns and Interventions · Law · Regulation and Compliance Studies · Wildlife Conservation and Criminology Analyses

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Unique citing works10
Citations per year1,67
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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