A juridical-practical framework for the investigation of crimes against granting of public housing services

The public service enterprises are victims of crimes and felonies which may reduce their capacity to perform their functions. These enterprises expend much money and effort in order to prevent those criminal behaviors. For this reason they ask from the authorities more efficient measures against crime; however, such enterprises may feel that they are not being given sufficient importance and/or remedies in dealing with such crime. The aim paper of this is not to study the problem from de substantive criminal law point of view. Rather, this paper’s goal is to study the Colombia’s Rules of Criminal Procedure, which regulate the investigation of this kind of crime. The article will look particularly at the competency of the relevant authorities at the investigative stages. Finally, it will make some recommendations regarding a proper route towards the investigation of these criminal behaviors.

Neighborhood characteristics and the spatial concentration of crime: Evidence for Bogotá

Using a unique neighborhood crime dataset for Bogotá in 2011, this study uses a spatial econometric approach and examines the role of socioeconomic and agglomeration variables in explaining the variance of crime. It uses two different types of crime, violent crime represented in homicides and property crime represented in residential burglaries. These two types of crime are then measured in non-standard crime statistics that are created as the area incidence for each crime in the neighborhood. The existence of crime hotspots in Bogotá has been shown in most of the literature, and using these non-standard crime statistics at this neighborhood level some hotspots arise again, thus validating the use of a spatial approach for these new crime statistics. The final specification includes socioeconomic, agglomeration, land-use and visual aspect variables that are then included in a SARAR model an estimated by the procedure devised by Kelejian and Prucha (2009). The resulting coefficients and marginal effects show the relevance of these crime hotspots which is similar with most previous studies. However, socioeconomic variables are significant and show the importance of age, and education. Agglomeration variables are significant and thus more densely populated areas are correlated with more crime. Interestingly, both types of crimes do not have the same significant covariates. Education and young male population have a different sign for homicide and residential burglaries. Inequality matters for homicides while higher real estate valuation matters for residential burglaries. Finally, density impacts positively both crimes.