scholarly journals The Influence of Interannual Climate Variability on Regional Violent Crime Rates in the United States

GeoHealth ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 356-369 ◽  
Author(s):  
Ryan D. Harp ◽  
Kristopher B. Karnauskas
Keyword(s):  
United States ◽  
Climate Variability ◽  
Violent Crime ◽  
The United States ◽  
Crime Rates ◽  
Interannual Climate Variability

scholarly journals Ozone trends over the United States at different times of day

2018 ◽  
Vol 18 (2) ◽  
pp. 1185-1202 ◽  
Author(s):  
Yingying Yan ◽  
Jintai Lin ◽  
Cenlin He
Keyword(s):  
United States ◽  
Climate Variability ◽  
The United States ◽  
Anthropogenic Emissions ◽  
Relative Importance ◽  
Annual Average ◽  
The Us ◽  
Ozone Trends ◽  
Interannual Climate Variability ◽  
Detrended Fluctuation

Abstract. In the United States, the decline of summertime daytime peak ozone in the last 20 years has been clearly connected to reductions in anthropogenic emissions. However, questions remain about how and through what mechanisms ozone at other times of day have changed over recent decades. Here we analyze the interannual variability and trends of ozone at different hours of day, using observations from about 1000 US sites during 1990–2014. We find a clear diurnal cycle both in the magnitude of ozone trends and in the relative importance of climate variability versus anthropogenic emissions to ozone changes. Interannual climate variability has mainly been associated with the detrended fluctuation in the US annual daytime ozone over 1990–2014, with a much smaller effect on the nighttime ozone. Reductions in anthropogenic emissions of nitrogen oxides have led to substantial growth in the US annual average nighttime ozone due to reduced ozone titration, while the summertime daytime ozone has declined. Environmental policymaking might consider further improvements to reduce ozone levels at night and other non-peak hours.

scholarly journals Ozone trends over the United States at different times of day

2017 ◽  
Author(s):  
Yingying Yan ◽  
Jintai Lin ◽  
Cenlin He
Keyword(s):  
United States ◽  
Climate Variability ◽  
The United States ◽  
Anthropogenic Emissions ◽  
Relative Importance ◽  
Annual Average ◽  
Substantial Growth ◽  
The Us ◽  
Ozone Trends ◽  
Interannual Climate Variability

Abstract. In the United States, the decline of summertime daytime peak ozone in the last 20 years has been clearly connected to reductions in anthropogenic emissions. Yet questions remain on how and through what mechanisms ozone at other times of day have changed over the recent decades. Here we analyze the interannual variability and trends of ozone at different hours of day, using observations from about 1000 US sites during 1990–2014. We find a clear diurnal cycle both in the magnitude of ozone trends and in the relative importance of climate variability versus anthropogenic emissions to ozone changes. Interannual climate variability has mainly been associated with the de-trended fluctuation in the US annual daytime ozone over 1990– 2014, with a much smaller effect on the nighttime ozone. Reductions in anthropogenic emissions of nitrogen oxides have led to substantial growth in the US annual average nighttime ozone due to reduced ozone titration, while the summertime daytime ozone has declined. Environmental policymaking might consider further improvements to reduce ozone levels at night and other non-peak hours.

On the association between undocumented immigration and crime in the United States

2019 ◽  
Author(s):  
Christian Gunadi
Keyword(s):  
United States ◽  
Violent Crime ◽  
Undocumented Immigrants ◽  
The United States ◽  
Crime Rates ◽  
Undocumented Immigration ◽  
Us States ◽  
Younger Age ◽  
The Usa ◽  
Immigration And Crime

Abstract Approximately 11 million undocumented individuals live in the United States. At the same time, there are concerns that the presence of undocumented immigrants may contribute to an increase in crime rates. In this article, I examine the institutionalization rate of undocumented immigrants and quantify the change in crime rates attributable to undocumented immigration. The analysis yields a few main results. First, despite possessing characteristics usually associated with crime, undocumented immigrants are 33% less likely to be institutionalized compared to US natives. Second, there is no evidence that undocumented immigrants who have spent more time in the USA are more likely to be institutionalized compared to those who have been in the USA for a shorter time. There is evidence, however, that arriving at a younger age is associated with higher institutionalization rate. Finally, overall property and violent crime rates across US states are not statistically significantly increased by undocumented immigration.

scholarly journals The Effects Of Education On Alabama’s Violent Crime Rate

2021 ◽  
Vol 5 (2) ◽  
pp. 5-14
Author(s):  
Richard Fast
Keyword(s):  
United States ◽  
Educational Attainment ◽  
Violent Crime ◽  
Crime Rate ◽  
The United States ◽  
Crime Rates ◽  
Problem Analysis ◽  
Formal Schooling ◽  
Scientific Discussion ◽  
Violent Crime Rate

This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of the effect of education on violent crime, specifically in the U.S. state of Alabama. The main purpose of the research is to determine whether more education leads to a decrease in the rate of violent crime. Systematization of the literary sources and approaches for reducing the violent crime rate indicate that increasing education, particularly the number of people with at least a high school or associate’s degree, can be one influential tool in cutting crime. The relevance of this scientific problem analysis is that Alabama has one of the highest violent crime rates in the United States according to crime watch sources, and Alabama residents desire safer neighborhoods. Investigation of what effect education has on crime in the paper is carried out in the following logical sequence: Introduction, literature review, data and analysis, and conclusion. Methodological tools of the research methods include econometric analysis using log-linear, linear-log, and log-log models covering population, educational attainment, violent crime rate, and unemployment rate of each county over five years: 2011-2015. The object of research are all the counties of Alabama, because namely they have some of the highest crime rates in the United States. Coincidentally, Alabama also has one of the lowest educational attainment rates in the country; the average American has more years of formal schooling than the average Alabama resident, and the crime rates of all other U.S. states compared to Alabama reflect this important fact. The paper presents the results of an empirical analysis of how more education impacted the violent crime rate in that state, which showed that, with one exception, more years of schooling does indeed result in less violent crime. The research empirically confirms and theoretically proves that, in the majority of cases, a better educated populace is less likely to commit violent crime.The results of the research can be useful for educators, law enforcement, and criminal justice practitioners.

Club convergence of crime rates in the United States of America

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kolawole Ogundari
Keyword(s):  
Violent Crime ◽  
Property Crime ◽  
The United States ◽  
Crime Rates ◽  
Community Level ◽  
Club Convergence ◽  
Content Type ◽  
Level Data ◽  
Convergence Club ◽  
Over Time

Purpose The cyclical behavior of US crime rates reflects the dynamics of crime in the country. This paper aims to investigate the US's club convergence of crime rates to provide insights into whether the crime rates increased or decreased over time. The paper also analyzes the factors influencing the probability of states converging to a particular convergence club of crime. Design/methodology/approach The analysis is based on balanced panel data from all 50 states and the district of Columbia on violent and property crime rates covering 1976–2019. This yields a cross-state panel of 2,244 observations with 55 time periods and 51 groups. In addition, the author used a club clustering procedure to investigate the convergence hypothesis in the study. Findings The empirical results support population convergence of violent crime rates. However, the evidence that supports population convergence of property crime rates in the study is not found. Further analysis using the club clustering procedure shows that property crime rates converge into three clubs. The existence of club convergence in property crime rates means that the variation in the property crime rates tends to narrow among the states within each of the clubs identified in the study. Analysis based on an ordered probit model identifies economic, geographic and human capital factors that significantly drive the state's convergence club membership. Practical implications The central policy insight from these results is that crime rates grow slowly over time, as evident by the convergence of violent crime and club convergence of property crime in the study. Moreover, the existence of club convergence of property crime is an indication that policies to mitigate property crime might need to target states within each club. This includes the efforts to use state rather than national crime-fighting policies. Social implications As crimes are committed at the local level, this study's primary limitation is the lack of community-level data on crime and other factors considered. Analysis based on community-level data might provide a better representation of crime dynamics. However, the author hopes to consider this as less aggregated data are available to use in future research. Originality/value The paper provides new insights into the convergence of crime rates using the club convergence procedure in the USA. This is considered an improvement to the methods used in the previous studies.

Abstract 076: Longitudinal Trajectories And Predictors Of County-level Cardiovascular Mortality In The United States (1980-2014)

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Shreya Rao ◽  
Amy E Hughes ◽  
Colby Ayers ◽  
Sandeep R Das ◽  
Ethan A Halm ◽  
...  
Keyword(s):  
Violent Crime ◽  
High Mortality ◽  
Multinomial Logistic Regression ◽  
The United States ◽  
Crime Rates ◽  
Social Characteristics ◽  
Mortality Data ◽  
County Level ◽  
Obesity And Diabetes ◽  
Health Factors

Introduction: CV mortality has declined over 4 decades in the U.S. However, whether declines have been uniformly experienced across U.S. counties, and predictors of CV mortality trajectory are not known. Methods: County-level mortality data from 1980-2014 was obtained from the National Center for Health Statistics. We used a ClustMix approach to identify 3 distinct county phenogroups based on mortality trajectory. Adjusted multinomial logistic regression models were constructed to evaluate the associations between county-level characteristics (demographic, social, and health status) and CV mortality trajectory-based phenogroups. Results: Among 3,133 counties, there were parallel declines in CV mortality in all groups (Fig.1A). High-mortality counties were located in the South and parts of the Ohio and Mississippi River valleys (Fig. 1B). County phenogroups varied significantly in social characteristics such as non-white proportion (low vs. high mortality: 12% vs. 27%), high-school education (11% vs. 20%), and violent crime rates (.01 vs. 0.3/100 population). Disparities in health factors were also observed with higher rates of smoking, obesity, and diabetes in the high (vs. low) mortality groups. A substantial collinearity was observed between social and health factors. In adjusted analysis, social, environmental, and health characteristics explained 56% variance in the county-level CV mortality trajectory. Education status (OR [95% CI]=12.4 [9.4-16.3]), violent crime rates (OR [95% CI] =1.6 [1.3-1.9]), and smoking (OR [95% CI] = 3.9 [3.1- 4.9]) were the strongest predictors of high mortality trajectory phenogroup membership (ref: low mortality). Conclusions: Despite a decline in CV mortality, disparities at the county-level have persisted over the past 4 decades largely driven by differences in social characteristics and smoking prevalence. This highlights the need for multi-domain interventions focusing on safety, education and public health to improve county-level disparities in CV health.

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