Date of Graduation
Fall 5-18-2024
Document Type
Thesis
Degree Name
Master of Science in Applied Economics (MSAE)
College/School
College of Arts and Sciences
Department/Program
Economics
First Advisor
Arman Khachiyan
Abstract
This study investigates the impact of load shedding, a recurring power outage phenomenon in South Africa, on crime rates in the densely populated Gauteng province. Using a novel dataset that combines Eskom's load shedding schedules with detailed crime statistics from 2015 to 2022, a fixed-effects regression model is employed to examine the relationship between blackout hours and various crime categories. Findings reveal that while load shedding does not significantly affect overall crime rates, it significantly increases the incidence of contact crimes and sexual offenses, particularly during daylight hours. Additionally, our results provide evidence that load shedding diminishes the ability of Police to detect crimes, whether through reducing effectivity or lowering levels of policing. This study contributes to the literature by providing a nuanced understanding of how load shedding influences specific crime types and by highlighting the differential impact of blackouts based on the time of day. The results could have important implications for policymakers and law enforcement agencies seeking to mitigate the adverse effects of load shedding on public safety in South Africa.
Recommended Citation
Ram, Bhavesh, "Exploring the Relationship Between Load Shedding and Crime in Gauteng" (2024). Master's Theses. 1572.
https://repository.usfca.edu/thes/1572
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