Socioeconomic and demographic factors of crime in Germany

Entorf, Horst; Spengler, Hannes

doi:10.1016/s0144-8188(00)00022-3

Cited by 173 publications

(25 citation statements)

References 16 publications

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“…The age distribution had no effect on property or violent crime rates in Belgium (Hooghe et al . ) but was found to be significant in Germany (Entorf and Spengler ). Studies based on crime survey data were also inconclusive.…”

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 98%

“…Pratt and Cullen (2005) found the proportion of young people to be only a moderate predictor of crime rates. The age distribution had no effect on property or violent crime rates in Belgium (Hooghe et al 2011) but was found to be significant in Germany (Entorf and Spengler 2000). Studies based on crime survey data were also inconclusive.…”

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 99%

“…They also found that the greater the income inequality the higher the property crime rate, but the opposite with regard to violent crime. In Germany, the effect of general unemployment was more ambiguous but being young and unemployed increased the probability of committing crimes (Entorf and Spengler ).…”

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 99%

“…Urbanisation was found to be significant in both Belgium (Hooghe et al . ) and Germany (Entorf and Spengler ). In Belgium, higher crime rates were also found in what the authors described as ‘touristic areas’.…”

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 99%

“…There have also been two studies comparing the six regions of Scotland (Reilly and Witt ; Pyle and Deadman ). In the USA, the unit of analysis has often been the 50 states (Pratt and Cullen ; Cook and Winfield ) and in Germany, the eleven West German Laender (Entorf and Spengler ).…”

mentioning

confidence: 99%

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Socio-Economic Determinants of Crime Rates: Modelling Local Area Police-Recorded Crime

Tarling

Dennis²

2016

The Howard Journal of Crime and Justice

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Social disorganisation theory and economic theory posit relationships between crime and socio‐economic conditions of an area. This article examines those relationships by analysing, for the first time, data for 322 local authorities in England. Significant determinants of property crime rates are found to be deprivation, the percentage of young people in the population, density of population/urbanisation, and movement in and out of the area. The variables found to be associated with violent crime are deprivation, density of population, population movements, and ethnic heterogeneity. Our results confirm much previous research but add fresh insights, especially regarding demographic distributions and population movements.

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Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 98%

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 99%

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 99%

Section: Area Correlates Of Crime: Findings From Previous Researchmentioning

confidence: 99%

mentioning

confidence: 99%

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Socio-Economic Determinants of Crime Rates: Modelling Local Area Police-Recorded Crime

Tarling

Dennis²

2016

The Howard Journal of Crime and Justice

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Chinese aid and crime: Evidence from Africa

Appiah-Kubi

Jarrett

2023

J of Intl Development

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We study how the allocation of resources impacts localised crime rates. Recent studies on the effects of Chinese aid in Africa have increased rapidly, and this paper contributes by showing the mechanism by which aid increases crime. Using a geo‐referenced dataset of subnational allocation of Chinese projects, geographically matched with 145 701 respondents of four rounds of Afrobarometer surveys from 36 African countries, we use a difference‐in‐difference‐in‐difference (DDD) approach and an instrumental variable (IV) identification strategy to account for endogeneity and capture the effect of living near projects under implementation before or after a survey against those with no projects. We find that Chinese aid projects significantly increased crime rates in the immediate locations where the projects were implemented. The main channel of effect is the increased local economic activities leading to the availability of employable opportunities. There is a similar but smaller magnitude of the effect regarding projects funded by other donor agencies.

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Homicide in Germany

Birkel

Dern

2011

Handbook of European Homicide Research

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Socioeconomic and demographic factors of crime in Germany

Cited by 173 publications

References 16 publications

Socio-Economic Determinants of Crime Rates: Modelling Local Area Police-Recorded Crime

Socio-Economic Determinants of Crime Rates: Modelling Local Area Police-Recorded Crime

Chinese aid and crime: Evidence from Africa

Homicide in Germany

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