Ordinary Business: Impacts on Commercial and Residential Burglary

Yu, Sung-suk Violet; Maxfield, Michael G.

doi:10.1093/bjc/azt064

Cited by 21 publications

(13 citation statements)

References 39 publications

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“…Nonetheless, cross-sectional studies have typically found that areas with more retail establishments have higher robbery rates (Bernasco and Block 2011;Kim and Hipp 2017). A study found businesses in general are associated with higher rates of burglaries in a crosssectional setting (Yu and Maxfield 2014). In general, researchers have interpreted these crosssectional findings as evidence that such establishments drive an increase in crime rates.…”

Section: Cross-sectional Studies Of Crime and Businessesmentioning

confidence: 99%

Fight or flight? Crime as a driving force in business failure and business mobility

Hipp

Williams

Kim

et al. 2019

Social Science Research

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A growing body of research has documented the consequences of neighborhood crime for a myriad of individual, household, and community outcomes. Given that neighborhood businesses figure into the link between neighborhood structure and crime as sources of employment or sites for neighbor interaction, the present study examines the extent to which neighborhood crime is associated with the survival, mobility, and destination locations of businesses in the subsequent year. Using business data from Reference USA (Infogroup 2015) and crime data from the Southern California Crime Study (SCCS) we assess this question for neighborhoods across cities in the Southern California region. We find that in general, higher violent and property crime are significantly associated with both business failure and mobility, and that higher crime in a destination neighborhood reduces the likelihood that a business locates there. We also present findings specific to industries, and discuss the implications of our findings for future research.

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Section: Cross-sectional Studies Of Crime and Businessesmentioning

confidence: 99%

Fight or flight? Crime as a driving force in business failure and business mobility

Hipp

Williams

Kim

et al. 2019

Social Science Research

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show abstract

“…The majority of studies rely on recorded crime data by law enforcement agencies or international organisations (Chainey and Silva, 2016;Braithwaite and Johnson, 2015;Johnson et al, 2009a;Johnson and Bowers, 2004a;Johnson and Bowers, 2004b;Rosser et al, 2017;Townsley and Oliveira, 2015;Youstin et al, 2011;Li et al, 2014;Nobles et al, 2016;Wang and Liu, 2017;Chainey et al, 2018;Gerstner, 2018;Rey et al, 2012;Glasner et al, 2018;Yu and Maxfield, 2013). In a number of studies data on cleared offenses were used (Wheeler, 2012;Bernasco et al, 2015;Hering and Bair, 2014;Johnson et al, 2009b;Porter and Reich, 2012), which allowed the researchers to link crime events to individual offenders.…”

Section: Spatio-temporal Clustering Of Crime and Crime-controlmentioning

confidence: 99%

“…Studies in this category predominantly focus on acquisitive crime types, such as maritime piracy (Townsley and Oliveira, 2015), or a combination of crime types such as Youstin et al (2011) who employed data on shootings, robbery and auto theft, while Hering and Bair (2014) include nonacquisitive crime (in this case, arson) in combination with acquisitive crime types (i.e., robbery, residential, vehicular and commercial burglary). However, the bulk of these studies direct their attention to (residential) burglary either exclusively (Bernasco et al, 2015;Chainey and Silva, 2016;Johnson and Bowers, 2004a;Johnson and Bowers, 2004b;Johnson et al, 2009a;Li et al, 2014;Rey et al, 2012;Rosser et al, 2017;Sidebottom, 2012;Pitcher and Johnson, 2011;Chainey et al, 2018;Glasner et al, 2018;Gerstner, 2018;Yu and Maxfield, 2013;Nobles et al, 2016) or in combination with other crime types (Porter and Reich, 2012;Wheeler, 2012;Johnson et al, 2009b;Hering and Bair, 2014). The study of Braithwaite and Johnson (2015) stands out because of its focus on terrorist insurgency.…”

Section: Spatio-temporal Clustering Of Crime and Crime-controlmentioning

confidence: 99%

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The Foraging Perspective in Criminology: A Review of Research Literature

Vandeviver¹,

Neirynck

Bernasco

2019

Preprint

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In order to explain how crimes are carried out, and why at a particular place and time, against a specific target, crime researchers increasingly engage with theory and research from behavioural ecology, in particular Optimal Foraging Theory (OFT). However, despite a rise in the number of studies, no overview of their main findings exists. Given the growing focus on OFT as a structuring behavioural framework for crime research, this article attempts to critically review the empirical criminal foraging literature to date. Google Scholar and Web of Science yielded 37 studies, which were grouped into five categories according to the focal decision being modelled. Empirical results largely support predictions made by OFT. There remains much potential for future crime research, however, in particular regarding the theoretical foundation of OFT in criminology and through the application of contemporary extensions to OFT using specific tools developed for the study of animal foraging decisions.

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“…To explain, like crimes such as personal fraud (see Titus and Gover 2001, p. 135), extortion requires the victim's cooperation for the offender to succeed (Best 1982, p. 109), thus repetition may be influenced by a victim's level of cooperation (which can only be observed 1 Only a small number of recent studies have examined patterns in radically different contexts such as Brazil (Melo et al 2015), Malawi (Sidebottom 2012), Taiwan (Kuo et al 2012) and South Korea (Park 2015). 2 For exceptions see Andresen et al (2017), Bowers et al (1998), van Dijk and Terlouw (1996), Salmi et al (2013), Burrows and Hopkins (2005), Gill (1998), Hopkins and Tilley (2001), Matthews et al (2001), and Yu and Maxfield (2014). 3 Welcome exceptions are the studies on kidnapping for ransom in Colombia by Pires et al (2014) and Stubbert et al 2015, and Dugato's (2014) study on bank robberies in Italy.…”

Section: Introductionmentioning

confidence: 99%

Are Repeatedly Extorted Businesses Different? A Multilevel Hurdle Model of Extortion Victimization

2020

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Objectives Research consistently shows that crime concentrates on a few repeatedly victimized places and targets. In this paper we examine whether the same is true for extortion against businesses. We then test whether the factors that explain the likelihood of becoming a victim of extortion also explain the number of incidents suffered by victimized businesses. The alternative is that extortion concentration is a function of event dependence. Methods Drawing on Mexico’s commercial victimization survey, we determine whether repeat victimization occurs by chance by comparing the observed distribution to that expected under a Poisson process. Next, we utilize a multilevel negative binomial-logit hurdle model to examine whether area- and business-level predictors of victimization are also associated with the number of repeat extortions suffered by businesses. Results Findings suggest that extortion is highly concentrated, and that the predictors of repeated extortion differ from those that predict the likelihood of becoming a victim of extortion. While area-level variables showed a modest association with the likelihood of extortion victimization, they were not significant predictors of repeat incidents. Similarly, most business-level variables significantly associated with victimization risk showed insignificant (and sometimes contrary) associations with victimization concentration. Overall, unexplained differences in extortion concentration at the business-level were unaffected by predictors of extortion prevalence. Conclusions The inconsistent associations of predictors across the hurdle components suggest that extortion prevalence and concentration are fueled by two distinct processes, an interpretation congruent with theoretical expectations regarding extortion that considers that repeats are likely fueled by a process of event dependence.

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Ordinary Business: Impacts on Commercial and Residential Burglary

Cited by 21 publications

References 39 publications

Fight or flight? Crime as a driving force in business failure and business mobility

Fight or flight? Crime as a driving force in business failure and business mobility

The Foraging Perspective in Criminology: A Review of Research Literature

Are Repeatedly Extorted Businesses Different? A Multilevel Hurdle Model of Extortion Victimization

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