Does the Presence of Casinos Increase Crime? An Examination of Casino and Control Communities

2003 ◽  
Vol 49 (2) ◽  
pp. 253-284 ◽  
Author(s):  
B. Grant Stitt ◽  
Mark Nichols ◽  
David Giacopassi

This study is an analysis of crime in six new casino communities and compares the crime rates to those found in six noncasino control communities. The experimental and control communities were matched on 15 socioeconomic variables. The crime rates were calculated using resident population and population at-risk, which includes tourists in the crime rate calculations. Both Part I and Part II crimes were analyzed using data encompassing the pre- and postcasino presence. Crime was expected to rise in the casino communities, consistent with routine activity theory and the belief that casinos serve as hot spots for crime. The analysis yielded few consistent findings across the test and control communities. Crime rates increased significantly in some casino communities, some remained relatively stable, and others decreased. The authors conclude that crime does not inevitably increase with the introduction of a casino into a community, but that the effects of casinos on crime appear to be related to a variety of variables which are only poorly understood.

2021 ◽  
Vol 10 (2) ◽  
pp. 53
Author(s):  
Yeran Sun ◽  
Ying Huang ◽  
Ke Yuan ◽  
Ting On Chan ◽  
Yu Wang

COVID-19 containment policies are not only curbing the spread of COVID-19 but also changing human behavior. According to the routine activity theory, owing to lockdown, the closure of entertainment sites (e.g., pubs and bars), an increase in stay-at-home time, and an increase in police patrols are likely to influence chance of committing a crime. In this study, we aimed to further examine the spatial association of COVID-19 infection rate and crime rate. Particularly, we empirically validated the speculation that increase in COVID-19 cases is likely to reduce crime rate. In the empirical study, we investigated whether and how COVID-19 infection rate is spatially associated with crime rate in London. As the spatial data used are mainly areal data, we adopted a spatial regression mode (i.e., the “random effects eigenvector spatial filtering model”) to investigate the spatial associations after controlling for the socioeconomic factors. More specifically, we investigated the associations for all the four crime categories in three consequent months (March, April, and May of 2020). The empirical results indicate that 1) crime rates of the four categories have no statistically significant associations with COVID-19 infection rate in March; 2) violence-against-the-person rate has no statistically significant association with COVID-19 infection rate; and 3) robbery rate, burglary rate, and theft and handling rate have a statistically significant and negative association with COVID-19 infection rate in both April and May.


2021 ◽  
pp. 088626052199743
Author(s):  
Dana Aizenkot

Cyberbullying has been pervading worldwide with negative implications for victims. Therefore, there is an urgent need to better understand this phenomenon and the factors that predict it, as the basis for effective prevention and intervention efforts. The current research aims to examine routine activity theory (RAT) as a theoretical framework predictive of cyberbullying victimization (CV) among children and youth. It was hypothesized that each of the RAT measures and the convergence of all measures predict CV. Data were collected from 5,719 primary, middle, and high school Israeli students (51.9% females) during the 2019–2020 school year via online questionnaires. Regression and moderation analyses were conducted to assess the predictability of CV from RAT measures, separately and converged. All RAT measures, separately and converged, predict CV. While off-line trust negatively predicts CV, other control variables, that is, online trust, educational institution phase, and gender, do not. Implications for school programs and guidelines for parents address the risk and protective factors of CV found. This study provides support for the predictability of CV from RAT and expands the knowledge of risk and protective factors predictive of CV.


2020 ◽  
Vol 21 ◽  
pp. 1552-1593
Author(s):  
Xin (Robert) Luo ◽  
◽  
Han Li ◽  
Qing Hu ◽  
Heng Xu ◽  
...  

2022 ◽  
Vol 40 (1) ◽  
pp. 265-291
Author(s):  
Solbey Morillo Puente ◽  
Iván Neftalí Ríos Hernández

This quantitative-based research determined whether the routine activity theory influences cyber victimization. To measure the dimensions of the theory, defined as exposure to a motivated offender, suitable online target, and absence of a capable guardian, a valid and reliable questionnaire was used. The cyber victimization questionnaire developed by Álvarez-García, Dobarro, and Núñez was applied to 1,285 students selected at random from schools in Colombia. Findings: 46% are identified as exposed to a motivated offender, 37.5% are suitable online targets, and 29.8% have no capable guardians. The interdependence of these three elements revealed that 3.9% of students are at risk due to their routine activities, which had a significant influence on cyber victimization. It is proposed that these findings should be considered in the design of communicative and educational policies aimed at a responsible use of technologies.


2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Zahrati Fadhilah Taufiq

AbstrakArtikel ini membahas tentang angka kriminalitas di Indonesia pada masa pandemic Covid 19 dengan menganalisis beberapa teori-teori kriminologi. Metode penelitian yang digunakan adalah metode penelitian  yuridis empiris. Hasil penelitian ini adalah terdapat (3) teori yang digunakan sebagai alat untuk menganalisis adanya kejahatan pada masa pandemic, yaitu Opportunity Theory, Teori Kontrol Sosial, Routine Activity Theory. Teori ini dapat digunakan untuk mengetahui penyebab terjadinya kejahatan selama pandemi, dan akhirnya memperhitungkan kebijakan-kebijakan yang akan diambil untuk kedepannya.  Kata Kunci : Covid 19, Angka Kejahatan, Teori Kriminologi.


Author(s):  
Dillon Glasser ◽  
Aakash Taneja

Since the government began tackling the problems of cybercrime, many laws have been enacted. A lack of a comprehensive definition and taxonomy of cybercrime makes it difficult to accurately identify report and monitor cybercrime trends. There is not just a lack of international agreement on what cybercrime is; there are different laws in every state within the United States, reflecting the inconsistency of dealing with cybercrime. There is also concern that many times lawyers and information technology professions are unable to understand each other well. The deficiency of cyber laws is an obvious problem and development of effective laws is emerging as an important issue to deal with cybercrime. This research uses the routine activity theory to develop a unified framework by including the motivation of the offender to use a computer as a tool/target, suitability of the target, and the presence (or absence) of guardian. It could help states that want to update their existing laws and cover areas that were previously uncovered.


2020 ◽  
pp. 088626052097582
Author(s):  
Saeed Kabiri ◽  
Jaeyong Choi ◽  
Seyyedeh Masoomeh (Shamila) Shadmanfaat ◽  
Julak Lee

The role of routine activity theory (RAT) as a guiding theoretical approach to understand online victimization has been well documented. However, the recent emphasis in criminology on its applicability to online victimization has largely been based on evidence from Anglo-American studies. This study fills this gap by testing the predictive utility of RAT for cyberstalking victimization, using data from a sample of female Iranian students. Our structural equation model showed that online exposure to motivated offenders, target suitability, and ineffective online guardianship were positively and significantly associated with cyberstalking victimization. Our results provide strong support for RAT, indicating its generalizability to a different sociopolitical context.


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