The convergence of environmental crime with other serious crimes: Subtypes within the environmental crime continuum
Open accessAbstract
The rising global scarcity of natural resources increasingly attracts transnational criminal organizations. Organized crime syndicates diversify into the lucrative business of tropical timber, endangered species, and natural minerals, alongside their traditional activities. The developing interconnectedness between environmental crime and other serious crimes shows that traditional lines of separation are no longer appropriate for understanding and dealing with the increasing complexities of organized crime. Therefore, this article aims to analyse the nexus between environmental crime and other serious crimes through cluster analyses to identify subtypes of organized crime groups that have diversified into the illegal trade in natural resources. The two-step cluster algorithm found a cluster solution with three distinct clusters of subtypes of criminal groups that diversified into the illegal trade in natural resources in various ways: first, the Green Organized Crime cluster, with a high degree of diversification and domination; second, the Green Opportunistic Crime cluster, with flexible and fluid groups that partially diversify their criminal activities; and, third, the low-level diversifiers of the Green Camouflaged Crime cluster, shadowing their illegal businesses with legitimate companies. The three clusters can be related to specific stages within the environmental crime continuum, albeit with nuances.
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Environmental crimes and land-grabbing in the Amazon have been increasingly combined with more conventional forms of organized crime, such as drug trafficking and illegal resource extraction, which rely on cattle to launder illicit money.
“These in turn have been increasingly combined with more conventional forms of organized crime, such as drug trafficking and illegal resource extraction (e.g., logging or gold mining), which rely on cattle to launder illicit money (Waisbich, 2025; see also Van Uhm and Nijman, 2022).”
From Beyond the “supply chain” framing: Cattle ranching as a vanishing mediator of deforestation and dispossession in the Brazilian and Colombian Amazon (2026) · cites this paper as Van Uhm and Nijman, 2022
Cites
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344 · cited 2× · see citing works
“Values of 0.5 or higher are an indication of a reasonable structure in the data (Kaufman and Rousseeuw, 1990; IBM Corp., 2017).”
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Bastos Lima, M. G., & López, J. (2026) · World Development · doi:10.1016/j.worlddev.2026.107532
- Authors
- van Uhm, D. P., & Nijman, R. C. C.
- Affiliations
- Utrecht University, The Netherlands
- Utrecht University (NL)
- ORCID
- van Uhm, Daan P.
- Venue
- European Journal of Criminology
- Publisher
- SAGE Publications
- Published
- 2020-02-10
- Volume
- 19
- Issue
- 4
- Pages
- 542-561
- ISSN
- 1477-3708 (ISSN-L)
- 1741-2609
- OpenAlex
- W3006219906
- Cited by
- 103
- References
- 1
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 15 · 2023: 18 · 2022: 9 · 2021: 22 · 2020: 4
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Criminology (publishedVersion, cc-by-nc)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- DSpace (Open University in the Netherlands) (submittedVersion, cc-by-nc)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (016.Veni.195.040)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Wildlife Conservation and Criminology Analyses
- Social Sciences › Sociology and Political Science › Crime, Illicit Activities, and Governance
- Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
- Keywords
- environmental crimes, organized crime, transnational crime, timber smuggling, green crime
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