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Killing in the Slums: Social Order, Criminal Governance, and Police Violence in Rio de Janeiro

Published online by Cambridge University Press:  03 February 2020

BEATRIZ MAGALONI*
Affiliation:
Stanford University
EDGAR FRANCO-VIVANCO*
Affiliation:
University of Michigan
VANESSA MELO*
Affiliation:
Stanford University
*
*Beatriz Magaloni, Professor, Department of Political Science, Stanford University, magaloni@stanford.edu.
†Edgar Franco-Vivanco, NCID postdoctoral fellow and MIDAS fellow, University of Michigan, efrancov@umich.edu.
‡Vanessa Melo, Graduate Student, Department of Anthropology, University of California, Los Angeles, vanessa.melo@stanford.edu.
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Abstract

State interventions against organized criminal groups (OCGs) sometimes work to improve security, but often exacerbate violence. To understand why, this article offers a theory about criminal governance in five types of criminal regimes—Insurgent, Bandit, Symbiotic, Predatory, and Split. These differ according to whether criminal groups confront or collude with state actors, abuse or cooperate with the community, and hold a monopoly or contest territory with rival OCGs. Police interventions in these criminal regimes pose different challenges and are associated with markedly different local security outcomes. We provide evidence of this theory by using a multimethod research design combining quasi-experimental statistical analyses, automated text analysis, extensive qualitative research, and a large-N survey in the context of Rio de Janeiro’s “Pacifying Police Units” (UPPs), which sought to reclaim control of the favelas from criminal organizations.

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Type
Research Article
Copyright
Copyright © American Political Science Association 2020 
Figure 0

FIGURE 1.Lethal Violence

Figure 1

FIGURE 2.Spatial Distribution of UPPs in Rio de JaneiroNote: Favelas (light gray) and UPPs (dark gray) in Rio de Janeiro. Thicker lines represent the division of the city in police battalions (AISP), which are themselves subdivided into Delegacias (DP). We label the areas where we conducted our fieldwork.

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FIGURE 3.Typology of Criminal Regimes

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FIGURE 4.Key Terms and Criminal GovernanceNote: Each plot presents the coefficients for the regression in A.4 with their 95% intervals. The dependent variables indicate the presence of key terms for each criminal regime and the independent variables are the groups controlling the territory. The base category (omitted) are favelas controlled by the CV outside Alemão.

Figure 4

TABLE 1.Descriptive Statistics of Favela Complexes by Criminal Faction

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TABLE 2.Heterogeneous Effects of UPP Intervention on Lethal Violence

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FIGURE 5.Heterogeneous Effects of UPP Interventions on Lethal ViolenceNote: Estimated marginal UPP effects, with 95% confidence intervals (by delta method), based on models presented in Table 2.

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FIGURE 6.Heterogeneous Effects of UPP Interventions on Common CrimeNote: Estimated marginal UPP effects, with 95% confidence intervals (by delta method), based on models presented in Table A.12 in the Online Appendix.

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TABLE 3.Evaluations of the UPP

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FIGURE 7.Community Evaluations of the UPPNote: Estimated marginal effects based on models displayed in Table A.13 in the Online Appendix. 95% confidence intervals. The communities sampled in the survey are Batan (Predatory), Cidade de Deus (Split), Providência (Bandit), and Rocinha (Symbiotic). Models include sociodemographic controls. The vertical line represents the average value of the dependent variable.

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Magaloni et al. Dataset

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