POPULATION DIVERSITY AND CROSS-NATIONAL HOMICIDE: THE EFFECTS OF INEQUALITY AND HETEROGENEITY*

This study examines the impact of income inequality and ethnic heterogeneity on homicide rates for a sample of 32 nations. The results of the analyses indicate that vertical social direrentiation, as measured by income inequality, and horizontal differentiation, as indexed by ethnic heterogeneity, have signijicant main effects on cross-national homicide. Additionally, evidence is presented suggesting an interaction effect on inequaliry and heterogeneity on homicide. It appears that increased ethnic heterogeneity exacerbates the impact of income inequality on homicide rates.     

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.     

Specifying the Effect of Social Welfare Expenditures on Homicide and Suicide: A Cross-National,Longitudinal Examination of the Stream Analogy of Lethal Violence

This study is an extension and cross-national test of the Stream Analogy of Lethal Violence (SALV). The SALV is an integrated theory of homicide and suicide that hypothesizes a relationship between “socially patterned” sources of frustration and lethal violence. By drawing on the insights of General Strain Theory and Institutional Anomie Theory, this study extends the SALV by assessing the impact of “decommodification” on the lethal violence rate. Partial support is found for this modified version of the SALV, as lagged measures of social expenditures are negatively associated with total lethal violence. The findings of this study suggest that social welfare expenditures in OECD nations protect citizens from lethal violence while austerity measures may contribute to greater rates of violent death.     

Reconsidering the Relationship Between Welfare Spending and Serious Crime: A Panel Data Analysis with Implications for Social Support Theory

Several researchers have found an inverse relationship between welfare spending and serious crime. With few exceptions, these findings have been based on cross‐sectional designs, single measures of welfare spending, and few indicators of crime. In response to these limitations, the relationship between welfare spending and crime was reconsidered using panel data from California counties. Fixed‐effects regressions revealed virtually no relationship between several measures of welfare spending and five types of serious crime: (1) homicide; (2) robbery; (3) assault; (4) burglary; and (5) larceny. The estimates were resistant to numerous robustness checks and alternative specifications. The most plausible explanation for the findings is that heterogeneity was not controlled for in previous studies. Implications for social support theory are discussed.     

The relationship between urbanisation and cross-national homicide rates: robustness across multiple estimation methods

Urbanisation has generally been found to be a non-significant predictor of homicide rates in cross-national studies. Despite this, there is strong theoretical support for the presence of a positive association between the two. The present study analyses data for up to 57 nations for the period 1993–2005 and examines the relationship between urbanisation and homicide using pooled ordinary least squares, feasible generalised least squares, panel-corrected standard errors, fixed-effects, and random-effects estimation. The results show that urbanisation is one of the strongest predictors of homicide in the cross-national context. This is consistent with the expected relationship according to modernisation theory and suggests that rapidly urbanising nations should be concerned with the unintended consequences of urbanisation.     

IMMIGRATION AND CRIME IN AN ERA OF TRANSFORMATION: A LONGITUDINAL ANALYSIS OF HOMICIDES IN SAN DIEGO NEIGHBORHOODS, 1980–2000*

Emerging research associated with the “immigration revitalization” perspective suggests that immigration has been labeled inaccurately as a cause of crime in contemporary society. In fact, crime seems to be unexpectedly low in many communities that exhibit high levels of the following classic indicators of social disorganization: residential instability, ethnic heterogeneity, and immigration. But virtually all research conducted to date has been cross-sectional in nature and therefore unable to demonstrate how the relationship between immigration and crime might covary over time. This limitation is significant, especially because current versions of social disorganization theory posit a dynamic relationship between structural factors and crime that unfolds over time. The current study addresses this issue by exploring the effects of immigration on neighborhood-level homicide trends in the city of San Diego, California, using a combination of racially/ethnically disaggregated homicide victim data and community structural indicators collected for three decennial census periods. Consistent with the revitalization thesis, results show that the increased size of the foreign-born population reduces lethal violence over time. Specifically, we find that neighborhoods with a larger share of immigrants have fewer total, non-Latino White, and Latino homicide victims. More broadly, our findings suggest that social disorganization in heavily immigrant cities might be largely a function of economic deprivation rather than forms of “neighborhood” or “system” stability.     

SOCIAL SUPPORT,INEQUALITY, AND HOMICIDE: A CROSS‐NATIONAL TEST OF AN INTEGRATED THEORETICAL MODEL*

Social support, institutional anomie, and macrolevel general strain perspectives have emerged as potentially important explanations of aggregate levels of crime. Drawing on insights from each of these perspectives in a cross‐national context, the analyses show that 1) our measure of social support is inversely related to homicide rates, 2) economic inequality also maintains a direct relationship with homicide rates, and 3) social support significantly interacts with economic inequality to influence homicide rates. The implications of the analysis for ongoing discourse concerning the integration of these criminological theories and the implications for the development of effective crime control policies are discussed.     

Reassessing the Association between Gun Availability and Homicide at the Cross-National Level

This paper had two objectives. First, to examine the association between gun availability, gun homicide, and homicide in a manner that better accounts for potential simultaneity than previous cross-national research. Second, to examine the manner that the relationship between gun availability and violence is shaped by socio-historical and cultural context. The results lend little support to the notion that gun availability operates uniformly across nations to influence levels of violence. Rather, these results suggest that the nature of the relationship between gun availability and violence is shaped by the socio-historical and cultural processes occurring across nations.     

The impact of population heterogeneity and income inequality on homicide rates: a cross-national assessment

The current research produces regression models with sample sizes from 127 to 131 by initially employing a data set of 170 nations. The current study finds that ethnic heterogeneity and linguistic heterogeneity lead to higher homicide rates. However, religious heterogeneity has no impact on homicide rates. The present article also tests an interaction effect between population heterogeneity and income inequality. Unlike J. R. Blau and Blau (1982) and Avision and Loring (1986) proposition, the interaction term is not related to national homicide rates. The current study also discusses the theoretical implications of those findings.     

Ethnic and immigrant residential concentration, and crime rates

One of the main arguments of social disorganization theory is that ethnic heterogeneity, influenced by immigrant residential concentration, is highly disruptive for community organization, and therefore, highly criminogenic. The effect of immigrant residential concentration on crime rates is, however, generally masked by the general effect of the broader category of ethnic heterogeneity. Some recent studies even suggested a negative relationship between immigrant residential concentration and crime. The present study, conducted in the city of Haifa, Israel, used neighborhood level data to test the specific relationship between immigrant residential concentration and crime rates among recent immigrants from the former Soviet Union. The results showed that the decomposition of ethnic heterogeneity into its two main components—immigrant residential concentration and ethnic residential concentration—served to qualify the predicted effects of social disorganization theory.     

Euthanasia as a Serious Homicide: An Empirical Study of (Normative) Consensus in Israel

The present study tests the applicability of the consensus versus the conflict model of criminal law in the case of homicide, and euthanasia, in particular. Although most criminal statutes consider euthanasia to be a serious homicide, many studies have revealed increasing public support for it. A survey of a national sample of Israeli respondents, based on a factorial design methodology, was conducted to determine the extent to which the criminal law reflects general or particular public attitudes toward euthanasia. The findings revealed that although social groups varied in their views on the seriousness of euthanasia, the public at large perceived it as significantly less serious than any other type of homicide. These findings are compatible with calls for reassessment of the criminal law with regard to euthanasia.     

Youth crime and family disruption in Canadian municipalities: An adaptation of Shaw and McKay’s social disorganization theory

Using an adaptation of Shaw and McKay’s (1942) theory, the present study examined the effects of social disorganization and family disruption on youth crime. Based on data from 483 Canadian municipalities, the results revealed that low income, mobility and ethnic heterogeneity had the expected positive effects on youth crime, particularly in municipalities with smaller population and lower prevalence of low income. The effect of single parenthood was positive as expected whereas that of divorce was unexpectedly negative. The findings suggest the importance to specify the conditions for the effect of social disorganization and differentiate the effects of divorce and single parenthood. The unexpected negative effect also raises the possibility of divorce as law mobilization, thus underscoring the roles of planning and legal intervention in social disorganization. In terms of policies, the findings suggest early intervention for social disorganization, support for single-parent families, and the incorporation of divorcees in productive activities.     

Attitudes towards police use of consumer/private DNA databases in investigations

Consumer DNA products, such as databases that allow the public to explore familial relationships, have recently been used by police to assist in investigations. This has moved the collection of DNA used in criminal investigations away from the limitations of criminal databases and has opened up ethical concerns regarding privacy and consent. This study explored public attitudes and support towards police use of consumer DNA databases in investigations to assess whether different crime types or moral and attitude alignments influenced the level of public support of police using these consumer products. An international survey of 438 adults, using theory and scales pertaining specifically to retributive punishment and attitudes towards law, courts and police, found that moral alignment and attitudes did influence the level of public acceptability towards police usage of these techniques and that support did vary based on crime type. This research found that higher levels of public support was given for the most serious case types explored (sexual assault and homicide). Participant support for police access to private DNA databases by case type was as follows; 83.5% for sexual assault, 83.2% for homicide, 85.2% for identifying unidentified human remains, 62.8% for robbery and 58.9% for illicit drug related cases. Small to medium effects sizes were observed for these results. Although these findings provided context towards public attitudes, further research specific to international attitude differences and variance between serious crime types and public acceptability could further develop these findings.     

The many faces of violence: A theoretical and statistical comparison of homicides,suicides, and motor vehicle fatalities

Homicide as a form of lethal violence has occupied a dominant place in criminological research over several decades. Researchers have explained the causes of homicide from various theoretical frameworks. Two other forms of lethal violence, namely suicide and motor vehicle fatalities, have been largely ignored. This study explores the trends in three forms of violent deaths namely, homicide, suicide, and motor vehicle fatalities in Phoenix, Arizona for the period 1950–1988. These three forms of violence have been tested from two dominant theoretical perspectives, namely social disorganization and social conflict. The findings from our study suggest that the social conditions which influence homicide are the same as those that influence other forms of lethal violence.     

POVERTY,INFANT MORTALITY,AND HOMICIDE RATES IN CROSS-NATIONAL PERSPECTIVE: ASSESSMENTS OF CRITERION AND CONSTRUCT VALIDITY*

This article assesses the extent to which the infant mortality rate might be treated as a “proxy” for poverty in research on cross-national variation in homicide rates. We have assembled a pooled, cross-sectional time-series data set for 16 advanced nations from the 1993–2000 period that includes standard measures of infant mortality and homicide and contains information on the following commonly used “income-based” poverty measures: a measure intended to reflect “absolute” deprivation and a measure intended to reflect “relative” deprivation. With these data, we assess the criterion validity of the infant mortality rate with reference to the two income-based poverty measures. Also, we estimate the effects of the various indicators of disadvantage on homicide rates in regression models, thereby assessing construct validity. The results reveal that the infant mortality rate is correlated more strongly with “relative poverty” than with “absolute poverty,” although much unexplained variance remains. In the regression models shown here, the measure of infant mortality and the relative poverty measure yield significant positive effects on homicide rates, whereas the absolute poverty measure does not exhibit any significant effects. The results of our analyses suggest that it would be premature to dismiss relative deprivation in cross-national research on homicide, and that disadvantage is conceptualized and measured best as a multidimensional construct.     

Structural anomie and crime: a cross-national test

Anomie is a highly prominent theoretical construct in macro-social, particularly cross-national, criminological inquiry. Yet despite its prominence, it has proven to be quite elusive with regard to its measurement and, hence, making it nearly impossible to test theoretical hypotheses regarding its predictive efficacy. Although the concept, whether derived from Merton's classic conceptualization or from its current incarnation in the form of institutional anomie as developed by Messner and Rosenfeld, is multidimensional and complex in its theoretical structure, most researchers have attempted to operationalize it through simple, single-item, often surrogate/proxy measures. The present research note attempts to develop a measure that is more consistent with its multidimensional and complex nature. This more complex operationalization is then examined with regard to its efficacy at predicting cross-national levels of both homicide and theft. Our results suggest that that this new operationalization has considerable predictive efficacy, accounting for approximately one third of the variation in the cross-national level of both homicide and theft.     

Social support and homicide: a cross-national test of an emerging criminological theory

The social support (also known as social altruism) perspective in criminological theory has emerged as a potentially important explanation of aggregate levels of crime. Recent studies have tested the theory's ability to predict levels of violent and property crimes at the city and state levels in the United States, yet a formal test of the theory using data from outside of the U.S. has yet to be conducted. Accordingly, this article draws on insights from social support theory in a cross-national context. Consistent with the core proposition of the theory, the analyses show that, net of statistical controls, the indicator of social support is inversely and significantly related to rates of violent crime (measured by homicides). The implications of these results for criminological theory development and for the construction of effective crime control policies are discussed.     

A METHODOLOGICAL ADDITION TO THE CROSS‐NATIONAL EMPIRICAL LITERATURE ON SOCIAL STRUCTURE AND HOMICIDE: A FIRST TEST OF THE POVERTY‐HOMICIDE THESIS*

Dozens of cross‐national studies of homicide have been published in the last three decades. Although nearly all these studies test for an association between inequality and homicide, no studies test for a poverty—homicide association. This absence is disconcerting given that poverty is one of the most consistent predictors of area homicide rates in the abundant empirical literature on social structure and homicide in the United States. Using a sample that coincides closely with similar recent studies, applying a proxy for poverty (infant mortality) that is commonly employed in noncriminological cross‐national research, and controlling for several common covariates (including inequality), this study provides the first test of the poverty—homicide hypothesis at the cross‐national level. The results reveal a positive and significant association between a nation's level of poverty and its homicide rate. The findings also suggest that we may need to reassess the strong conclusions about an inequality—homicide association drawn from prior studies, as this relationship disappears when poverty is included in the model.     

A Test of Competing Hypotheses about Homicide Following Terrorist Attacks: An Interrupted Time Series Analysis of September 11 and Oklahoma City

There is substantial evidence that catastrophic events, including terrorist attacks, lead to increased levels of post-traumatic stress, especially in communities in close proximity to the incident. Some scholars also argue that these events disrupt social organization. On the other hand, many contend that these incidents produce social cohesion as community members coalesce to help each other in time of need. These ideas have resulted in competing hypotheses in the literature. The first is that violence will increase in the wake of catastrophic events due to heightened levels of individual stress and community disorganization. The second is that violence will decline after these events because of increased social cohesion, especially in the face of an outside threat. In order to test these competing hypotheses, we employed autoregressive integrated moving average (ARIMA) techniques to model the impact of the Oklahoma City bombing and the September 11 attacks on monthly homicide counts at the local, state, and national level. Unlike prior studies that provided evidence of an effect but did not use rigorous time-series techniques, we found no support for either of the competing hypotheses. We conclude that while such catastrophic events may have an effect on individual and collective efficacy well beyond the immediate impact of the incidents, these effects are not strong enough to influence homicide rates. An erratum to this article can be found at