The place-based effects of police stations on crime: Evidence from station closures

Blesse, Sebastian; Diegmann, André

doi:10.1016/j.jpubeco.2022.104605

Cited by 13 publications

(9 citation statements)

References 67 publications

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“…Second, by documenting the deterrent role that remote workers can play, and the subsequent reductions in burglary crime, we contribute to the literature on criminal decision-making and deterrence. 5 Our results on the deterrent effects of WFH provide a new source of variation to the literature on the effects of deterrence on crime which has previously focused on police numbers (Evans and Owens, 2007;Chalfin and McCrary, 2018;Blesse and Diegmann, 2022;Chalfin et al, 2022) or exploited natural experiments in the intensity of policing of different areas due to terrorism (Di Tella and Schargrodsky, 2004;Klick and Tabarrok, 2005;Draca et al, 2011). Due to our focus on non-police deterrence, our paper is perhaps closest to Doleac and Sanders (2015), who use the introduction of Daylight Saving Time as quasi-random source of variation in darkness, finding that robbery falls by 7% in the weeks following DST.…”

mentioning

confidence: 80%

Do Remote Workers Deter Neighborhood Crime? Evidence from the Rise of Working from Home

et al. 2023

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confidence: 80%

Do Remote Workers Deter Neighborhood Crime? Evidence from the Rise of Working from Home

et al. 2023

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“…(2016) and Blesse and Diegmann (2022), who show that police visibility -through police buildings or police on guards -affects deterrence. Second, the station closures result in longer response times, that in turns damage police effectiveness and deterrence.…”

Section: Violent Crimesmentioning

confidence: 99%

“…A related set of papers leverage natural experiments, exploiting sudden shifts in police deployment following terrorist attacks (Di Tella and Schargrodsky, 2004;Klick and Tabarrok, 2005;Draca et al, 2011), and highlight the preventative role of visible police presence. Likewise, Blesse and Diegmann (2022) examined the deterrence effects of a police consolidation reform in German municipalities, estimating increases in crime attributed to lower police visibility. More recently a few papers have examined police effectiveness more closely (e.g., Adda et al, 2014;Blanes i Vidal and Mastrobuoni, 2018).…”

Section: Introductionmentioning

confidence: 99%

Police infrastructure, police performance, and crime: Evidence from austerity cuts

Facchetti

2024

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Utilizing newly compiled granular data on 7 million criminal incidents within a large police force, I examine the impact of police deployment on crime occurrence, reporting, police investigations, and overall citizens' welfare. Focusing on a wave of austerity cuts which resulted in the closure of 70% of the police stations (while preserving total police strength), I show that the closures persistently increased violent crimes in census blocks near the defunct stations. Consistent with lower deterrence and police effectiveness, I document reduced clearance rates, reduced reporting of non-violent offences, and lower local house prices in the most deprived areas. The policy appears not to be cost-effective.

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“…The POI data were obtained from the 2016 "Daodaotong" navigation electronic map, including police stations, shopping centers, parks, squares, banks, hospitals, schools, hotels and restaurants. These variables have been widely used in related studies [43,[65][66][67][68][69][70].…”

Section: Datamentioning

confidence: 99%

Exploring the Impact of Floating Population with Different Household Registration on Theft

Chen

et al. 2022

IJGI

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The floating population is frequently treated as a homogeneous whole to explore its impact on crime in numerous crime studies in China. However, there are different compositions within the floating population and significant differences in the effects on crime. In this study, the floating population was divided into three types based on household registration (i.e., Hukou): the floating population from other districts in the same city (FPFOD), the floating population from other cities in the same province (FPFOC) and the floating population from other provinces (FPFOP). The Moran index was used to analyze their spatial distribution patterns and aggregation, respectively, and several negative binomial regression models were constructed to explore the influence of different types of floating populations on theft. The results show that the three types of floating populations are mainly distributed in different urban areas, implying differences in their impact on theft. Among them, the proportion of the FPFOD shows insignificant negative correlation on theft, while the proportion of the FPFOC and the FPFOP present a significant positive correlation. Meanwhile, the proportion of the FPFOP creates a stronger effect on theft than the proportion of entire floating population. Overall, the model performs best when variables of the proportion of the FPFOC and the FPFOP are included. The research conclusions can provide a meaningful reference for precisely measuring the floating population in crime research.

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The place-based effects of police stations on crime: Evidence from station closures

Cited by 13 publications

References 67 publications

Do Remote Workers Deter Neighborhood Crime? Evidence from the Rise of Working from Home

Do Remote Workers Deter Neighborhood Crime? Evidence from the Rise of Working from Home

Police infrastructure, police performance, and crime: Evidence from austerity cuts

Exploring the Impact of Floating Population with Different Household Registration on Theft

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