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Examines the nexus of economic development, induced crime and property values focused on casino gambling introduced to Atlantic City, New Jersey. Uses econometric techniques to calculate the effects to which monetary increase in property values is directly attributable to the casinos and the extent to which these values have been diminished due to crime. Concludes that the gain in property taxes that a municipality may realise when a reduction in its property crime rate imbalances assessed values.

This paper examines the role of institution in the combating crime in India. This study also assesses institutions for controlling property crime in India in the post-reform era.

Crime and socio-economic data are taken from National Crime Record Bureau and the Reserve Bank of India, respectively. Twenty major Indian states are selected for the study purpose for the period of 1994–2019. Fixed effect panel data technique is used for analysis purpose.

Property crime rate declines with economic growth, while it increases with financial development. Findings of fiscal policy instruments are different. Own tax is positively associated with property crime in India, while non-tax fiscal instruments such as fine, penalty, and so on, are inversely related to it. Property crime rate is inversely related to institutional factors like charge sheet and conviction rate.

Further research is needed for other crimes in India. State-level data are used here for analysis purpose; however, spatial or cluster analysis techniques might provide more insights for combating crimes in India.

This study suggests that economic growth and fiscal instrument along with institutional development are essential to control property crime in India.

Government should take steps to improve the law-and-order system to control property crime across states.

Impact of non-tax fiscal instrument reduces property crime while that of own tax is increases it in India. These findings are unique and added certain insight in the study. Institutional roles are captured its performances like charge sheet and convict rate, which are significantly reduce property crime in Indian states. Least square dummy variable model is applied to capture individual state effects.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0063

The purpose of this study is to examine the impact of crime on apartment prices for Hamburg, Germany, for the years 2012 to 2017.

The authors use a panel data setting with fixed effects estimators and temporal lags to moderate the endogeneity concerns related to crime. The authors consider the effect of total crime, violent and property crime and some sub-categories of crime.

The estimates show that it takes two to three years for prices to react, with the longer run elasticity reaching −0.12 for total crime, −0.15 for property crime and −0.06 for violent crime. The elasticities are much larger in high-crime areas (−0.22 for total crime, −0.28 and −0.09 for property and violent crime) and elevated also in low-income areas.

The finding that property crime matters more in terms of quantitative impact for housing values than violent crime provides reasonable grounds for rethinking the resource allocation of public spending on crime clearance and prevention in Germany. Far more emphasis on preventing property crime appears in order and especially so in the lower income or higher crime areas, which are significantly more affected by crime and in particular property crime than those in high income or low crime areas.

The estimates for Hamburg provide the first detailed results of the impact of crime on real estate prices in Germany. It is also the first study for Continental Europe using panel data.

The purpose of this study is to explore spatiotemporal factors that affect the empirical analysis of whether crime rates in buffer areas surrounding abandoned properties transferred to a Land Bank that differed among three regimes: before transfer, during Land Bank stewardship and after disposition and whether those differences were associated with differences in relative crime activity in the neighborhoods in which they were located.

This study analyzed crime incidents occurring between 2010 and 2018 in 0.1-mile buffer areas surrounding 31 abandoned properties sold by the Land Bank and their neighborhoods in which those properties were located. Using Copulas, researchers compared concordance/discordance in the buffer areas across the three regime states for each property and approximately matched time periods for associated neighborhoods.

In a substantial number of cases, the relative crime activity levels for buffer areas surrounding individual sold properties as measured by the Copulas shifted from concordant to discordant states and vice versa. Similarly, relative crime activity levels for neighborhoods shifted from concordant to discordant states across three matched regimes. In some cases, the property and neighborhood states matched, while in other cases they diverged. These cross-level interactions indicate that criminal behavioral patterns and target selection change over time and relative criminal activity. The introduction of Copulas can improve the reliability of such models over time and when and where they should be customized to add more granular insights needed by law enforcement agencies.

The introduction of Copulas can improve the spatiotemporal reliability of the analysis of criminal activity over space and time.

Spatiotemporal considerations should be incorporated in setting interventions to manage criminal activity.

This study provides support for policies supporting renovation of abandoned properties.

To the best of authors’ knowledge, this research is the first application of Copulas to crime impact studies. As noted, Copulas can help reduce the risk of applying intervention or enforcement programs that are no longer reliable or lack the precision provided by insights into convergent/divergent patterns of criminal activity.

The purpose of this study is to investigate the socioeconomic determinants of property crimes on convicted offenders in the Chilga district correctional institution (CDCI).

This study conducted a socioeconomic determinant of property crimes on convicted offenders using quantitative research. Respondents consisted of a random sample of 170 convicted offenders in CDCI. This study used descriptive statistics, logistic regression and Pearson correlations for analyzing the quantitative data in CDCI.

The results of the study showed that the age at first engagement, educational status, offender’s immediate economic situation and previous experience of the offender were the perceived reasons in one’s major property crime offending. However, average monthly income, peer effect and family structure (grown up with) were found to be non-perceived reasons. Youths who are unmarried, illiterate and unemployed offenders had over three times more probabilities of committing theft than robbery and burglary in the winter season, especially in February, because of the determinants of illiteracy and unemployment such as negligence for the future life. Furthermore, the convicted offenders who were illiterate, unemployed and raised by single parents have engaged in theft for the first time, but burglary and robbery by employed and literate offenders in more probable.

This paper takes a fresh perspective on knowledge about property crime and economic as well as criminological theories using various bodies of academic research. This paper’s insight will be helpful to fill the literature gaps; there are lot research studies with little investigations addressing to the issue of the determinants of property crime. It will also be useful for policymakers to mitigate the determinant of property crime.

The purpose of this paper is to examine realtors and residents’ perceptions of the effectiveness of Crime Prevention through Environmental Design (CPTED) in reducing night-time and daytime break-ins in residential estate.

The study adopted case study methods. Two residential estates (one at inner and the other at outer city) were selected as cases of the study. Data were collected from two sets of respondents: realtors and tenants. In the realtors’ cluster, all real estate and property development companies were sampled since the population is very small. Systematic sampling technique was used to select residents. Respondents were asked to answer closed-ended questions on socio-economic and demographic characteristics, perception of property crime, spending on CPTED and effectiveness of CPTED. Data were analyzed using the descriptive and inferential statistics.

Findings disclose that more than half of the residents of inner and outer city had been victims of housebreaks and these incidences are expected to increase in the nearest future. To reduce break-ins, findings show that realtors and residents have spent on both formal and informal surveillance with emphasis on ensuring visual control over premises. Furthermore, respondents confirm the effectiveness of CPTED in deterring break-ins. The study establishes variation in the realtors and tenants’ perception of break-ins as spending on CPTED strategies vary between them, with locations and types of properties.

Social and human factors remain very important as far as the prevention of break-ins is concerned. These should be taken into considerations when improving CPTED approach in the future. Besides, adequate attentions should be given to daytime break-in. Nonetheless, night-time break-ins should not be neglected. Furthermore, the study emphasizes the importance of visible, clean and well-lit premises as ways of reducing break-ins. It is therefore suggested that residential properties should be well lit at nights, while CCTV and security personnel be positioned in strategic places and within security viewing range so as to send fast alerts to the nearest police stations in the cases of break-in(s).

Very few studies on effectiveness of CPTED have mainly concentrated on how CPTED works in residential estates. No study till date, have explored how realtors perceive CPTED in preventing break-ins. Besides, this study contributes to existing literature having revealed variation in the realtors and tenants’ spending on CPTED on the basis of property location and types of residential properties.

This paper aims to evaluate a problem‐oriented policing project that used regulatory policy to foster responsible place management among operators of nuisance motels located in Southern California.

A mixed‐methodological approach was used to ensure that a comprehensive assessment captured substantive outcomes, as well as implementation issues and displacement effects.

Each component of the initiative generated some success, with the greatest crime reduction achieved when all motels were in full compliance with the permit‐to‐operate ordinance. Consistency in key project staff was critical to maintaining program integrity.

The displacement analysis suggests that crime prevention evaluations would benefit from a facilities orientation that identifies locations that might host crime if the targeted sites are rendered inopportune. And, net effects can be applied to facilities research using standardized crime rates.

Ends‐based regulatory policy offers law enforcement an alternative to conventional crime control strategies. Responsibility for crime prevention can be shifted to place managers to reduce the incidents of crime and disorder (reported and unreported to police). Ancillary benefits include better city‐industry communication and more efficient use of city resources.

This research is valuable to police agencies considering the use of ordinances to address crime and disorder problems plaguing risky facilities.

The purpose of this paper is to analyze the Vietnamese laws and practices concerning the confiscation of proceeds of crime, especially in view of Vietnam’s obligations to meet the international standards on money laundering and terrorist financing, set by the Financial Action Task Force and relevant international conventions that Vietnam ratified. To limit the scope of this paper, the analysis focuses on the confiscation of proceeds of domestic crimes that do not require international legal assistance. This paper concludes with recommendations for improving the legal framework on criminal asset recovery in Vietnam.

This is a doctrinal study that considers the applicable legal framework. This study is supported by brief case studies of major cases involving the confiscation of proceeds of crime.

Vietnam has a functioning asset confiscation regime but gaps in the law, lack of financial investigation expertise and lack of focused investigative attention on asset preservation and confiscation are hampering its effectiveness. The key gaps can easily be closed with appropriate amendments to the law. These reforms should be combined with a dedicated skills development program to produce sufficient number of financial investigation experts and criminal asset management experts to support the regime. The training should extend to judicial officers to ensure an appropriate understanding of the asset confiscation law. Reforms such as these should follow on a comprehensive review of Vietnam’s law and practices relating to the confiscation and forfeiture of criminal assets. This review should extend to assets linked to the financing of terrorism and proliferation to ensure that Vietnam has a comprehensive regime to deal with criminal assets.

This paper draws on publicly available information regarding the confiscation of proceeds of crime in Vietnam. Little data is available on asset confiscation and that prevents an in-depth assessment of the regime.

This paper highlights gaps in the current asset confiscation regime and proposes reforms and approaches that will ensure a more effective asset confiscation regime for Vietnam.

The purpose of this paper is to examine how the combined crime rate and staffing levels of a patrol area affect patrol officers’ productivity. Specifically, the author identified and analyzed two macro-level correlates of patrol officer productivity: reported violent crimes per officer and reported property crimes per officer (a beat’s “crime-to-cop” ratios).

Using hierarchical linear modeling, the author estimated the effects of a patrol area’s violent crimes per officer ratio and property crimes per officer ratio on the annual number of traffic citations, warrants, misdemeanor arrests, and felony arrests generated by patrol officers (n=302). The author also examined the effect of these crime-to-cop ratios on a more advanced productivity metric.

The results suggest that a patrol area’s rate of property crimes per officer is associated with a moderate decrease in an officer’s annual number of traffic citations, warrant arrests, and misdemeanor arrests; a patrol area’s rate of violent crimes per officer is also associated with a moderate decrease in an officer’s annual number of traffic citations; and a patrol area’s rate of violent crimes per officer is associated with a moderate increase in an officer’s annual number of warrant and misdemeanor arrests. Notably, the crime-to-cop ratios are not correlated with a more sophisticated patrol productivity metric.

The author analyzed data from a mid-sized US police department that uses a generalists policing style. It is unknown if these results translate to smaller or larger police departments, as well as those agencies practicing a specialized policing style.

The findings suggest that police scholars should not only recognize how the crime-to-cop ratios of a patrol area might impact patrol officer productivity, but also incorporate more sophisticated metrics of patrol officer activity in future studies. These findings likewise signal to police practitioners that an area’s crime-to-cop ratios should be considered when allocating officers and other resources across patrol areas.

To the authors knowledge, this is the first study to identify and examine the link between a patrol area’s crime-to-cop ratios and patrol officer productivity.

There is a lack of understanding in the literature on the spatial relationships between crime and house price. This paper aims to test the impact of spatial effects in the housing market, how these are related to the incidence of crime and whether effects vary by the type of crime.

The analysis initially explores univariate and bivariate spatial patterns in crime and house price data for the Belfast Metropolitan Area using Moran’s I and Local Indicator Spatial Association (LISA) models, and secondly uses spatial autoregression models to estimate the role of crime on house prices. A spatially weighted two-stage least-squares model is specified to analyse the joint impact of crime variables. The analysis is cross sectional, based on a panel of data.

The paper illustrates that the pricing impact of crime is complex and varies by type of crime, property type and location. It is shown that burglary and theft are associated with higher-income neighbourhoods, whereas violence against persons, criminal damage and drugs offences are mainly associated with lower-priced neighbourhoods. Spatial error effects are reduced in models based on specific crime variables.

The originality of this paper is the application of spatial analysis in the study of the impact of crime upon house prices. Criticisms of hedonic price models are based on unexplained error effects; the significance of this paper is the reduction of spatial error effects achievable through the analysis of crime data.