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What Explains Criminal Violence in Mexico City? A Test of Two Theories of Crime Cover

What Explains Criminal Violence in Mexico City? A Test of Two Theories of Crime

By:  and    
Open Access
|Feb 2016

Figures & Tables

Figure 1

Social disorganization theory: structures and processes. Source: Adapted from Sampson and Groves (1989) and Sampson (2011).

Figure 2

Institutional anomie theory: institutions and processes. Source: Adapted from Messner and Rosenfeld (1997) and Rosenfeld and Messner (2010).

Figure 3

The correlates and data sources of social disorganization and institutional anonmie theory. Source: authors.

Table 1

Descriptive statistics for variables included in the analysis.

MeanS. D.
Rates for all crimes (per 100,000)1471.61033.5
Social lag index−1.1460.403
Migration %5.4%5.1%
Bars/restaurants (per 100,000)10.617.8
Female HH %20.3%4.7%
Voter turnout %54.2%10.6%
Gini index0.4020.034
Grade retention % (primary school)96.9%1.3%

[i] Note: All variables transformed to Z values prior to inferential analyses (n = 76).

Map 1

Spatial distribution of crime rates, 2010. Source: authors based on 2010 crime data (INEGI).

Map 2

Crime hotspots, 2010. Source: Author calculations based on 2010 crime data (INEGI).

Table 2

Crime hot spots, 2010.

Type of hotspotStateMunicipalityCrime rate for all crimes (2010)**
High-HighDistrito FederalCuauhtemoc5,418.1
High-LowEstado de MexicoOtumba4,048.8
High-HighDistrito FederalBenito Juarez3,561.7
High-HighDistrito FederalMiguel Hidalgo3,522.8
High-HighDistrito FederalVenustiano Carranza2,979.3
High-HighEstado de MexicoTlalnepantla de Baz*2,661.7
High-HighDistrito FederalAzcapotzalco2,267.6
High-HighDistrito FederalCoyoacan2,152.9
High-HighDistrito FederalIztacalco2,107.8
High-HighDistrito FederalGustavo A. Madero1,990.6

[i] Source: Author calculations based on 2010 crime data (INEGI).

*This municipality is made-up of two separated geographical areas.

**Criminal investigations per hundred thousand inhabitants.

Table 3

Zero order correlations between variables included in the analysis.

Social lag indexMigrationBars / restaurantsFemale HHVoter turnoutGini indexGrade retention
Rates for all crimes−0.618**0.230*0.382**0.694**−0.554**0.449**−0.065
Social lag index−0.275*−0.182−0.650**0.634**−0.393**0.164
Migration0.050−0.027−0.271*0.055−0.513**
Bars / restaurants0.429**−0.0780.307**0.213
Female HH−0.666**0.487**0.199
Voter turnout−0.383**0.112
Gini index0.313**

[i] Source: Author calculations based on 2010 crime data and socioeconomic data (INEGI, IMCO, CONEVAL).

Table 4

OLS regression analysis of crime rates on measures of social disorganization and institutional anomie theories w/interactions.

Model 1 Social DisorganizationModel 2 Institutional AnomieModel 3 Full model
Social lag index−0.217*−0.095
Migration %0.178**0.111
Bars/restaurants per capita0.1150.022
Female HH %0.508***0.500***0.491***
Voter turnout %−0.080−0.025
Gini index0.356***0.296***
Grade retention %−0.261***−0.163
Gini*Female HH%0.260***0.225**
Gini*Voter turnout %0.164**0.188**
Gini*Grade retention %−0.239***−0.223***
intercept0.0010.0100.031
R2 adjusted0.5420.5640.558

[i] Note: Significance of the coefficients based on robust standard errors.

*p < 0.1, **p < 0.05, ***p < 0.01.

Figure 4

Female-headed households as the strongest predictor of crime rates for all crimes Source: Author calculations.

Table 5

GWR regression analysis of crime rates on measures of social disorganization and institutional anomie theories w/o interactions (mean values).

Model 1 Social DisorganizationModel 2 Institutional AnomieModel 3 Full model
Social lag index−0.262−0.113
Migration %0.1750.106
Bars/restaurants per capita0.1330.037
Female HH %0.4670.4940.461
Voter turnout %−0.079−0.040
Gini index0.3520.287
Grade retention %−0.258−0.167
Gini*Female HH%0.2570.225
Gini*Voter turnout %0.1620.180
Gini*Grade retention %−0.236−0.222
Intercept−0.002−0.0110.026
R2 adjusted0.5710.5640.568
Bandwidth size517662

[i] Note: Mean values of local standardized beta coefficients reported (n = 76).

Map 3

Social disorganization theory model: GWR local coefficients of determination, 2010. Source: Author calculations.

Map 4

Institutional anomie theory model: GWR local coefficients of determination, 2010. Source: Author calculations.

Map 5

Social disorganization and Institutional theory model: GWR local coefficients of determination, 2010.

DOI: https://doi.org/10.5334/sta.433 | Journal eISSN: 2165-2627
Language: English
Page range: 1 - 1
Published on: Feb 5, 2016
Published by: Department of Peace Studies and International Development, University of Bradford
In partnership with: Paradigm Publishing Services

© 2016 Carlos Vilalta, Robert Muggah, published by Department of Peace Studies and International Development, University of Bradford
This work is licensed under the Creative Commons Attribution 4.0 License.