2017
DOI: 10.21202/1993-047x.11.2017.1.208-224
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Drilling Down: An Examination of the Boom-Crime Relationship in Resource Based Boom Counties

Abstract: Цель: изучение взаимосвязи между быстрым ростом городов и уровнем преступности в округах, испытывающих бум, основанный на природных ресурсах, а также разработка социально-экономических и правовых мер для снижения «эффекта быстрорастущего города». Методы: диалектический подход к познанию социальных явлений, позволяющий проанализировать их в истори-ческом развитии и функционировании в контексте совокупности объективных и субъективных факторов, который определил выбор следующих методов исследования: формально-лог… Show more

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Cited by 25 publications
(55 citation statements)
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“…However, contrary to James and Smith (), Ruddell et al () did not find a significant relationship between oil production and property or violent crime in their OLS regression models. Besides Ruddell et al (), O'Connor () also found significant increases in violent crime in North Dakota when conducting a t test to compare pre‐boom (1999–2005) and post‐boom (2006–2012) county violent crime rates, but he also did not find any significant difference in pre‐ and post‐boom property crime rates in his regression models. These inconsistent findings lead to the question of whether the rise in crime rates in rural North Dakota and Montana was a direct result of the oil boom, a change in economic conditions, rapid population growth, or merely a personal or social perception driven in part by social and public media.…”
Section: Introductioncontrasting
confidence: 62%
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“…However, contrary to James and Smith (), Ruddell et al () did not find a significant relationship between oil production and property or violent crime in their OLS regression models. Besides Ruddell et al (), O'Connor () also found significant increases in violent crime in North Dakota when conducting a t test to compare pre‐boom (1999–2005) and post‐boom (2006–2012) county violent crime rates, but he also did not find any significant difference in pre‐ and post‐boom property crime rates in his regression models. These inconsistent findings lead to the question of whether the rise in crime rates in rural North Dakota and Montana was a direct result of the oil boom, a change in economic conditions, rapid population growth, or merely a personal or social perception driven in part by social and public media.…”
Section: Introductioncontrasting
confidence: 62%
“…First, we consider crimes in counties in both North Dakota and Montana from 2000 through 2014. Rather than focusing on a single state as in O'Connor () or a selected number of counties in the two states (Ruddell et al ), the geographical scope allows us to compare differences in crime rate in oil‐producing and non‐oil‐producing rural counties that are similar to each other in many regards except oil production. The time span enables us to conduct an analysis to compare the number of crime occurrences in oil‐producing counties at the Bakken after the oil boom to the number of crime occurrences in the counties before the boom, as well as those of non‐oil‐producing counties before and after the boom.…”
Section: Empirical Model and Datamentioning
confidence: 99%
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