Why is violence high and persistent in deprived communities? A formal model

B. de Courson*, W.E. Frankenhuis, D. Nettle, J.L. van Gelder

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

There is massive variation in rates of violence across time and space. These rates are positively associated with economic deprivation and inequality. They also tend to display a degree of local persistence, or ‘enduring neighbourhood effects’. Here, we identify a single mechanism that can produce all three observations. We formalize it in a mathematical model, which specifies how individual-level processes generate the population-level patterns. Our model assumes that agents try to keep their level of resources above a ‘desperation threshold’, to reflect the intuitive notion that one of people’s priorities is to always meet their basic needs. As shown in previous work, being below the threshold makes risky actions, such as property crime, beneficial. We simulate populations with heterogeneous levels of resources. When deprivation or inequality is high, there are more desperate individuals, hence a higher risk of exploitation. It then becomes advantageous to use violence, to send a ‘toughness signal’ to exploiters. For intermediate levels of poverty, the system is bistable and we observe hysteresis: populations can be violent because they were deprived or unequal in the past, even after conditions improve. We discuss implications of our findings for policy and interventions aimed at reducing violence.
Original languageEnglish
Article number20222095
Pages (from-to)1-9
Number of pages9
JournalProceedings of the Royal Society B: Biological Sciences
Volume290
Issue number1993
DOIs
Publication statusPublished - 22 Feb 2023

Bibliographical note

Funding Information:
W.E.F.'s contributions have been supported by the Dutch Research Council (V1.Vidi.195.130) and the James S. McDonnell Foundation ( https://www.jsmf.org/grants/20170007/ ). D.N.'s contribution was supported by ANR grant ANR-21-CE28-0009. J.-L.v.G.'s contribution was supported by a Consolidator Grant from the European Research Council (grant number 772911—CRIMETIME). The authors thank Julien Lie, Karthik Panchanathan, Daniel Nagin, Ulysse Klatzmann, Sebastian Kübel, Laura Pick, Daniel B. Krupp and two anonymous reviewers for their insightful help.

Publisher Copyright:
© 2023 The Authors.

Funding

FundersFunder number
James S. McDonnell FoundationV1.Vidi.195.130
James S. McDonnell Foundation
ANRANR-21-CE28-0009
European Research Council772911-CRIM-ETIME

    Keywords

    • aggression
    • economic inequality
    • formal modelling
    • poverty

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