Economic Determinants and Social Influences on Gambling in South Africa: A Mathematical Modeling Approach
- 1Department of Mathematics and Applied Mathematics, South Africa
Abstract
Gambling in South Africa, propelled by casinos, sports betting, and a growing online sector, is increasingly influenced by economic pressures and accessibility. This study presents a {partially data-informed} mathematical model to {analyze} gambling participation, focusing on the impact of economic indicators (unemployment, inflation, GDP per capita, and poverty) on gambling behaviours. Integrating these factors with social influences, we employ a non-linear differential equation framework to evaluate the perceived utility of gambling in varying economic scenarios. Using Monte Carlo simulations and scenario analysis, our results reveal a significant association between high unemployment, poverty, and increased gambling participation, particularly in socially cohesive environments. Results indicate that higher unemployment and poverty levels significantly correlate with increased gambling, with social influence amplifying this trend. Unemployment and peer effects emerge as primary predictors, highlighting economic hardship's role in gambling behaviour. These findings suggest targeted interventions for economically vulnerable populations, such as educational campaigns and support services, to mitigate gambling-related risks during economic downturns.
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BibTeX
@article{chikore2026economic,
title = {{Economic Determinants and Social Influences on Gambling in South Africa: A Mathematical Modeling Approach}},
author = {Tichaona Chikore and Farai Nyabadza},
journal = {Mathematics Interdisciplinary Research},
year = {2026},
month = oct,
doi = {10.22052/mir.2026.257798.1549},
url = {https://doi.org/10.22052/mir.2026.257798.1549},
note = {CC BY},
}
RIS
TY - JOUR
TI - Economic Determinants and Social Influences on Gambling in South Africa: A Mathematical Modeling Approach
AU - Tichaona Chikore
AU - Farai Nyabadza
PY - 2026
DA - 2026/10/30
JO - Mathematics Interdisciplinary Research
DO - 10.22052/mir.2026.257798.1549
UR - https://doi.org/10.22052/mir.2026.257798.1549
AB - Gambling in South Africa, propelled by casinos, sports betting, and a growing online sector, is increasingly influenced by economic pressures and accessibility. This study presents a {partially data-informed} mathematical model to {analyze} gambling participation, focusing on the impact of economic indicators (unemployment, inflation, GDP per capita, and poverty) on gambling behaviours. Integrating these factors with social influences, we employ a non-linear differential equation framework to evaluate the perceived utility of gambling in varying economic scenarios. Using Monte Carlo simulations and scenario analysis, our results reveal a significant association between high unemployment, poverty, and increased gambling participation, particularly in socially cohesive environments. Results indicate that higher unemployment and poverty levels significantly correlate with increased gambling, with social influence amplifying this trend. Unemployment and peer effects emerge as primary predictors, highlighting economic hardship's role in gambling behaviour. These findings suggest targeted interventions for economically vulnerable populations, such as educational campaigns and support services, to mitigate gambling-related risks during economic downturns.
SN - 2476-4965
ER -