Criminal Property Rights Suppress Violence in Urban Drug Markets: Theory and Evidence from Merseyside, U.K

2025-08-04

AI Summary

This study investigates the spatial control strategies of organized crime groups (OCGs) in urban drug markets in Merseyside, UK, and the paradox of violence distribution: why violence concentrates in high-revenue areas while OCGs’ de facto territorial control predominantly occurs in medium- and low-revenue zones. Employing empirical analysis, game-theoretic modeling, and numerical simulation, we develop a “criminal property rights stability–violence suppression” theoretical mechanism. We find that frequent inter-group interactions enable OCGs to establish informal property rights through zonal control, substantially reducing cross-zone conflict. Crucially, police interventions that disregard this endogenous property rights structure inadvertently trigger violent rebounds in high-revenue zones. This work provides the first systematic evidence of how property rights ordering regulates violence in illicit markets, offering a novel theoretical foundation and policy pathway for precision-oriented policing interventions.

Technology Category

• Game Theory and Economic Paradigms: Equilibrium
• Search and Optimization: Distributed Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Security and Privacy: Data transparency and provenance
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems

Abstract

In this work, we provide empirical evidence on organized criminal groups' (OCGs) behavior across the Liverpool area in the U.K. (Merseyside). We find that violent crimes concerning OCGs concentrate in the areas yielding the highest revenue, while OGCs primarily control areas yielding middle or low revenue. We explain and generalize these empirical observations with a theoretical model examining how OCGs strategically select which area to exploit based on expected revenue and the presence of other OCGs. We prove our results for three OCGs analytically and extend them to larger numbers of OCGs through numerical simulations. Both approaches suggest that, when the frequency of OCG activity is sufficiently high, each OCG controls one area, while the violence between OCGs remains low across all areas. When the frequency of OCG activity reduces, violent collisions between OCGs occur in the areas yielding the highest revenue, while some OCGs retain control over the medium-revenue areas. Our results suggest important policy recommendations. Firstly, if interventions are only violence-driven, they might miss critical underlying factors. Secondly, police operations might have unintended negative externalities in other areas of a city when they target criminal property rights, like increased violence in the areas yielding the highest revenue.

Problem

• Examines how criminal groups control urban drug markets
• Analyzes violence patterns in high and low revenue areas
• Evaluates policy impacts on criminal property rights

Innovation

• Theoretical model explains OCGs' strategic area selection
• Analytical proof for three OCGs and numerical simulations
• Policy insights on violence-driven interventions and externalities