AN EVALUATION OF STATE ENTERPRISE ZONE POLICIES

Our analysis looks at the impact of state enterprise zones in six states (California, Florida, New Jersey, New York, Pennsylvania, and Virginia) on housing values, occupancy rates, and economic well-being of zone residents. Zones did not lead to increased housing prices or occupancy rates, nor did they positively impact income and employment.     

The impact of state enterprise zones on urban manufacturing establishments

Since the early 1980s, the vast majority of states have implemented enterprise zones. This paper analyzes urban zones in six states, examining the factors that states use to choose zone locations and the subsequent effect of the zones on business activity and employment. The source of outcome data is the U.S. Bureau of Census' longitudinal research database (LRD), which tracks manufacturing establishments over time. Matched sample and geographic comparison groups are created to measure the impact of zone policy on employment, establishment, shipment, payroll, and capital spending outcomes. Consistent with previous findings, the difference‐in‐difference estimates indicate that zones have little effect, on average. However, by exploiting the establishment‐level data to examine gross as well as net changes, the analysis finds that zones have a positive effect on the outcomes of new establishments and a negative effect on the outcomes of previously existing establishments. © 2004 by the Association for Public Policy Analysis and Management.     

Form follows function: Applying photographic content analysis to forensic firearm identification

Drawing forensic conclusions from an image or a video is known as “photographic content analysis.” It involves the analysis of an image, as well as objects, actions, and events depicted in images or video. In recent years, photographic depictions of objects suspected as illegal firearms have substantially increased, appearing on CCTV surveillance footage, captured by mobile phones and shared on social media. However, the law in Israel states that a person can be charged with illegally possessing a firearm only if it can be proven that the object is capable of shooting with lethal bullet energy. This becomes more challenging in cases where the firearm was not physically seized, and the evidence exclusively consists of images and video. In this study, photographic content analysis was applied to images and video where objects suspected as commercial or improvised firearms had been depicted. An image and event sequence reconstruction video databases of both firearms and replicas were created in order to better define firearm-specific functional morphological features. We demonstrate that it is possible to classify an object as a firearm by analyzing the functional, and not only the esthetic, morphology in images and video. It is also shown that event sequence reconstruction in video may be used to infer that an object suspected as a firearm has the capacity to shoot by confirming the occurrence of a shooting act or shooting process. Thus, photographic content analysis may be used to forensically establish that an object depicted in an image or a video is a firearm by ruling out other known scenarios, and without physically seizing it.     

Viewing Spatial Consequences of Budgetary Policy Changes

While the research community is often very concerned with the distributional effect of public policy decisions, the geographic distribution of the affected populations is often overlooked. This paper argues that seemingly geographically neutral policies have spatial consequences and that the choice of how to measure them is important. We suggest that maps provide a powerful tool for communicating these ideas to policy makers and that geographical information systems supplemented by spatial statistics yield information that assist policy debates. We develop metrics to illustrate how geographic information provides insights into the spatial consequences of Medicaid expenditure changes in Ohio.