Social support and homicide in transitional Russia

Like the United States, Russia is a large industrialized nation with high violence rates. Although its overall homicide rate is among the highest in the world, however, local rates of crime vary widely. Similarly, the level of social support provided by the state varies throughout Russia due to former Soviet policies, the differential pace of political and economic change, and the level of development. Relying upon recent criminological literature on social support theory, this study tested the hypotheses that areas with higher levels of social support will have lower homicide rates and that the effects of negative socioeconomic change on homicide rates will be moderated by levels of social support. Utilizing data from Russian regions (n = 78) and controlling for other structural covariates, negative binomial regression was employed to estimate the effects of social support on regional homicide rates. As expected, negative socioeconomic change was associated with higher homicide rates, but the results provided no support for direct or conditioning effects of social support on homicide. The findings are discussed in the context of Russia-specific conditions and of the meaning of these findings for recent research on social support and crime.     

A Cross-National Analysis of the Mediating Effect of Economic Deprivation on Crime

This study develops and tests a model of economic deprivation and crime using data from 52 nations for the years 1995–1999. The model, centering on the role of absolute and relative economic deprivation in mediating crime, predicts that social change causes variation in economic deprivation, which, in turn, leads to variation in crime rates. The results show that the relative deprivation variable, income inequality, mediates a large portion of the effects of two social change variables, population growth and urbanization, on homicide, while one of the absolute deprivation variables, GDP, transmits a great part of the effects of social change variables on theft. Both social change variables were found to have a weak direct connection to homicide and theft rates. Implications for policy and future research are discussed.     

ECONOMIC INEQUALITY AND LEVELS OF HOMICIDE: AN ANALYSIS OF URBAN NEIGHBORHOODS*

This paper presents an analysis of the relationship between levels of economic inequality and homicide rates for a sample of 26 neighborhoods in Manhattan, New York. It argues that neighborhoods are more appropriate units of analysis for studying inequality and homicide than are larger political and statistical units because neighborhoods are more likely to constitute meaningful frames of reference for social comparisons. The principle hypothesis is that a high degree of economic inequality in a neighborhood will give rise to high levels of relative deprivation and high rates of homicide. The results of a series of multiple regression analyses fail to support this hypothesis. The measure of economic inequality is weakly associated with the observed homicide rates. Similarly, the racial composition of Manhattan neighborhoods exhibits no significant association with levels of homicide, given statistical controls for other sociodemographic variables. Two neighborhood characteristics do emerge as significant predictors of homicide rates: the relative size of the poverty population and the percent divorced or separated. Homicide rates tend to be highest in those neighborhoods characterized by extreme poverty and pervasive marital dissolution.     

POVERTY, INCOME INEQUALITY, AND COMMUNITY CRIME RATES

This paper examines the relationship between crime rates and aggregate economic conditions for 57 small social areas. The principal analyses address a continuing controversy—are community crime rates associated with absolute poverty, relative poverty (i.e., income inequality), or both. Using victimization data from 57 small residential neighborhoods, the analyses examine the association between absolute and relative poverty and rates of violent crime and burglary. The findings indicate that absolute poverty is more strongly associated with neighborhood crime rates, although the relationship is conditional on the type of crime considered. The implications of the findings are discussed within a perspective of community social control.     

Race, economic inequality, and violent crime

The current study used data drawn from the National Incident-Based Reporting System (NIBRS) and the census to investigate the relationship between indicators of interracial and intraracial economic inequality and violent crime rates, including White-on-Black, White-on-White, Black-on-White, and Black-on-Black offenses. Multivariate regression results for ninety-one cities showed that while total inequality and intraracial inequality had no significant association with offending rates, interracial inequality was a strong predictor of the overall violent crime rate and the Black-on-Black crime rate. Overall, these results were interpreted as consistent with J.R. Blau and Blau's (1982) relative deprivation thesis, with secondary support for P.M. Blau's (1977) macrostructural theory of intergroup relations. The findings also helped to clarify the unresolved theoretical issue regarding which reference group was most important in triggering relative deprivation among Blacks. It appeared that prior studies were unable to find support for the relative deprivation thesis for Black crime rates because of data and methodological limitations.     

Segregation and latino homicide victimization

A growing concern exists that an increase in Latino urban violence is the result of social and economic inequality. One structured form of inequality is segregation. Research indicates that many Latino communities have moderate to high levels of segregation. Prior criminological research has revealed that segregation is a strong predictor of black violence. The present study extends this line of research to the issue of Latino crime by examining the link between Latino segregation and Latino homicide victimization. Two measures of segregation are employed in the current research: residential segregation and social isolation. Using census data and mortality files, regression models indicate that while social isolation is a significant predictor of Latino homicide victimization, residential segregation is not significantly related to Latino rates of homicide victimization. An earlier version of this paper was presented at the annual meeting of the Southern Criminal Justice Association, Clearwater, FL, 2001.     

Regional Differences in the Economic Correlates of the Urban Homicide Rate

This article examines regional differences in the economic correlates of the urban homicide rate. On the basis of cultural variations between the South and other parts of the country, the proportion of the population below the poverty line and the level of income inequality are hypothesized to have stronger positive effects on the homicide rate in nonsouthern than in southern cities. Regression results for a sample of 256 nonsouthern cities and a sample of 91 southern cities do not support the hypothesis for the measure of income inequality, however. The Gini coefficient of family income concentration has no significant effect in either region. In contrast, the results for the poverty measure are consistent with expectations. The proportion below the poverty line has a significant, positive effect on the homicide rate only in the nonsouthern sample. These findings suggest that the impact of economic deprivation on rates of violent crime is likely to vary appreciably depending on the general cultural context.     

The economy,crime and time: An analysis of recorded property crime in England & Wales 1961–2006

We seek to determine whether one of the unanticipated side-effects of social and economic changes associated with the adoption of neoliberal and monetarist economics during the 1970s/1980s was rising crime rates. Undertaking time series analysis of social and economic determinants of property crime (using official statistics on recorded crime for England and Wales from 1961 to 2006) we develop a model of the effect of changes in socio-economic variables (unemployment, inequality, welfare spending and incarceration) on property crime rates. We find that while three of these had significant effects on change in the property crime rate, income inequality did not. We conclude with a discussion of the extent to which neoliberal economic and welfare (and later criminal justice) policies can be held to have influenced the property crime rate since the early 1980s and what this tells us about the social and economic determinants of crime at the macro-level.     

NEIGHBORHOOD INEQUALITY,COLLECTIVE EFFICACY,AND THE SPATIAL DYNAMICS OF URBAN VIOLENCE*

Highlighting resource inequality, social processes, and spatial interdependence, this study combines structural characteristics from the 1990 census with a survey of 8,872 Chicago residents in 1995 to predict homicide variations in 1996–1998 across 343 neighborhoods. Spatial proximity to homicide is strongly related to increased homicide rates, adjusting for internal neighborhood characteristics and prior homicide. Concentrated disadvantage and low collective efficacy—defined as the linkage of social control and cohesion—also independently predict increased homicide. Local organizations, voluntary associations, and friend/kinship networks appear to be important only insofar as they promote the collective efficacy of residents in achieving social control and cohesion. Spatial dynamics coupled with neighborhood inequalities in social and economic capacity are therefore consequential for explaining urban violence.     

VARIATION IN AFRICAN-AMERICAN HOMICIDE RATES: AN ASSESSMENT OF POTENTIAL EXPLANATIONS*

Using 1990 data for 222 metropolitan areas, this study extends the traditional variables examined in models of homicide and uses regression analysis to test the viability of three alternative theories that may explain high rates of African-American homicide victimization. The first approach examines the extent to which weak forms of social control have contributed to high homicide rates. The second approach tests the notion that discrimination and inequality have increased levels of absolute and relative deprivation for blacks, which in turn engender frustration and contribute to higher levels of violence. The third approach posits that engagement in violent activity may be a rational act for young African-American males faced with the reality of highly limited economic opportunities. While all three approaches contribute to explaining high African-American homicide, this study shows the greatest support for the social control explanation.     

STRUCTURAL CONDITIONS AND RACIAL HOMICIDE PATTERNS: A LOOK AT THE MULTIPLE DISADVANTAGES IN URBAN AREAS*

This research examines the differential effects of structural conditions on race-specific victim and offender homicide rates in large U.S. cities in 1990. While structural theories of race relations and criminological explanations are reviewed, particular attention is given to those structural theories that highlight racial competition, economic and labor market opportunity, and racial segregation as essential for an examination of racially disaggregated homicide offending. The effects of these and other structural conditions are estimated for four racially distinct homicide offending models—black intraracial, white intraracial, black interracial, and white interracial homicides. The results suggest that the structural conditions that lead to race-specific victim and offender homicide rates differ significantly among the four models. Economic deprivation and local opportunity structures are found to influence significantly the rates of intraracial homicide offending, while racial inequality contributes solely to black interracial homicide rates. In addition, our findings indicate that blacks and whites face different economic and social realities related to economic deprivation and social isolation. The differential impact of these structural conditions and other labor market factors are discussed.     

Correlates of crime in Taiwan

Taiwan is known for rapid economic growth, but in 1988, the government ended 40 years of martial law, resulting in greater political and social freedoms. This paper explores the influence of economic, social, and political structures on crime in the Republic of China on Taiwan. A time series analysis examines the structural correlates of crime in Taiwan from 1964 to 1990. Both total crime and burglary/larceny rates are regressed on seven independent variables derived from various theoretical perspectives. The results support Hagan's power-control and Christie's crime-industry perspectives for total crime, while measures assessing lack of economic means and the economic deprivation were significant for burglary/larceny.     

A Radical Economic Model of Crime with an Empirical Test in Non-city Zip Codes

This article addresses three main issues. First, the structural explanation of crime rates across zip codes within a US county outside of that county’s major city’s limits. Second, this article addresses whether the traditional social disorganization argument which links measures of disorganized neighborhoods and in particularly deficiencies in informal social control to race, income inequality and poverty provides an adequate explanation of variations in non-city zip code crime rates. Third, this article also examines a radical critique of the kind of structural model posed by social disorganization, and tests an alternative radical economic model of crime at the zip code level. The empirical evidence illustrates the weakness of social disorganization explanations of crime at the zip code level. In contrast to those results, the empirical results for the proposed radical economic model of crime support its use for explaining crime across county zip codes. This type of empirical evidence demonstrates that radical models of crime have utility in explaining how economic structures influence the distribution of crime independently of variable identified in orthodox criminology.     

Beyond the Social Production of Homicide Rates: Extending Social Disorganization Theory to Explain Homicide Case Outcomes

This paper examines the intersection of social disorganization at a community level with responses to crime. In contrast to other works examining the impact of social disorganization on the production of crime rates, we examine the role of social disorganization theory in responses to crime rates (i.e. the arrest and conviction of perpetrators of crime). In an effort to examine these dynamics, we use law enforcement data from Cleveland, Ohio to explore the role of social disorganization in the ability of police and the courts to respond to homicide cases. Such an examination suggests not only how far the law extends in community responses to homicide but also reveals an extension of social disorganization theory beyond its established role in explaining the production of crime rates.     

Murder in the shadows: evidence for an institutional legitimacy theory of crime

The focus on the institutional control of violent crime has increased over the past few decades, stimulated largely by Messner and Rosenfeld’s “institutional anomie theory.” A related theory, referred to as “institutional legitimacy theory” in this study, has received considerably less attention. This theory, originating in the social control theoretical tradition, is tested in an analysis of homicide rates (circa 2012) across 108 nations. Overall, institutional legitimacy theory receives support as economic, political, familial, and religious institutional legitimacy assist in reducing homicide rates across societies. Most notably, homicide is positively associated with the size of the shadow economy (the measure of waning economic institutional legitimacy), consistent with the hypothesis that parties lacking institutional redress are more likely to use unilateral violence to resolve grievances.     

Social support, ethnic heterogeneity, and homicide: A cross-national approach

This study examined the manner that social support theory accounts for the dynamic between social support, ethnic heterogeneity, and homicide at the cross-national level. Using five alternative measures of social support, the findings indicated that social support influences homicide, but these effects are somewhat contingent on the type or dimension of social support provided. Additionally, the analyses performed here revealed that social support and ethnic heterogeneity interact to influence rates of homicide. Taken together, these findings revealed that social support theory provides a useful foundation for exploring the factors that influence homicide at the cross-national level.     

STRUCTURAL SOURCES OF VARIATION IN RACE-AGE-SPECIFIC RATES OF OFFENDING ACROSS MAJOR U.S. CITIES*

Recently, much attention has been focused on the structural determinants of variations in crime rates across U.S. cities. Virtually all research in this area has utilized aggregate reported offense rates as the dependent variable. While it provides a good indicator of the total volume of crime, the aggregate crime rate suffers two major disadvantages-it obscures individual- and aggregate-level effects, and it does not allow testing of criminological theory which specifies differential effects of economic variables (for example, poverty, inequality) on offending rates for various population subgroups (for example, black adults, white adults). The present study addresses these issues by examining the economic determinants of age, race, and crime-specific offending rates for a sample of the nation's largest cities. The overall results suggest that income inequality has a direct positive effect on black offending rates for serious crime, whereas black poverty has no effect. In contrast, white poverty has positive effects on white violence, while inequality significantly increases white robbery and burglary. The implications of findings for recent theoretical developments of conflict and relative deprivation theory are assessed.     

Gender inequality and homicide: a cross-national examination

Studies examining gender inequality and crime have often explored the connection between female victimisation and crime. However, feminist theories do provide a rationale for gender inequality affecting all crime, not just female victimisation. Using the ameliorative and the backlash hypothesis the current analysis examined gender inequality and homicide in 94 countries. Using a gender inequality index, we found that as gender inequality increased the homicide rate increased. This finding supports the ameliorative hypothesis, which states that as societies become more equal crime will decrease.     

FEMALE AND MALE HOMICIDE VICTIMIZATION RATES: COMPARING TRENDS AND REGRESSORS*

This study compares national female and male homicide victimization rates (HVRs) during 1930–1995. The trends are almost the same, even when separated by race, in spite of large gender differences in HVR levels. When regressing female and male HVRs on demographic, economic, social control, and other variables, the coefficients differ between the sexes only to the extent expected by chance. The important predictors relate to offenders and are independent of the type of victim; the incapacitation impact of prison populations is especially strong for all HVRs. This is consistent with others' findings that men who murder women, and even those who commit sexual and partner assaults, have criminal records nearly as bad as offenders generally. These findings have implications for several broader topics: the usefulness of data dis-aggregation, the usefulness of crime situation theories, the reasons for declining homicide rates, and strategies for reducing violence against women.