산업생태계와 범죄: 업종별 종사자 수를 활용한 소지역 분석

While previous studies have addressed the relationship between specific types of businesses or facilities and crime through their influence on ambient populations, there is a lack of research examining the impact of such businesses within the broader context of the industrial ecology of a region. This study empirically analyzes the relationship between the structure of local industrial ecology and crime incidence using the number of employees by the 10th Korean Standard Industrial Classification (KSIC). Focusing on City C in Gyeongsangnam-do, South Korea, the study employs a negative binomial regression model to analyze the effects of environmental variables at the census output area level on the incidence of violent and property crimes, with significant industry-specific employment variables identified through a stepwise selection process. The results indicate that the number of employees in manufacturing, information and communication, and educational services is negatively associated with crime occurrence, whereas the number of employees in accommodation and food services, construction, wholesale and retail trade, healthcare and social welfare services, and other personal service sectors is positively associated with crime occurrence. Contrary to expectations, proximity to police stations and the number of installed surveillance cameras were positively associated with crime, while the number of parks and bus stops showed little effect on crime occurrence. This study can serve as a foundational resource for developing region-specific crime prevention strategies and linking these efforts with industrial policy and urban planning. Furthermore, by utilizing standardized data related to ambient populations, the proposed analysis method can be applied to other regions in future research.