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Evidence-based policy-making in sports funding using a data-driven optimization approach.
Jan Hurt1, Liuhuaying Yang1, Johannes Sorger1
1Complexity Science Hub, Vienna, Austria.
Plos One
|December 31, 2024
Summary
Optimally allocating government funds to sports clubs, considering regional socio-economic factors, can significantly boost children
Area of Science:
- Sports Science
- Public Policy
- Economics
Background:
- Regular physical activity is crucial for child development, with sports clubs playing a key role in promoting exercise.
- Public subsidies have been shown to increase sports club participation, but their effectiveness varies based on factors like location and socio-economic conditions.
Purpose of the Study:
- To develop and evaluate a data-driven simulation model for optimizing government funding allocation to sports clubs.
- To maximize children's access to sports facilities through strategic financial investment.
Main Methods:
- Compiled a dataset of 1,854 Austrian football clubs, including budget, location, membership, and age demographics.
- Developed a simulation model incorporating a sublinear relationship between club budget and membership, influenced by socio-economic factors.
- Evaluated various funding strategies, comparing an optimization approach with a naive distribution method.
Main Results:
- Identified a sublinear relationship between sports club budgets and active members, modulated by local socio-economic conditions.
- The optimization strategy, which tailors funds to regional socio-economic characteristics and club budgets, increased child participation by up to 117% compared to a naive approach, using an additional 5 million euros.
Conclusions:
- Evidence-based, individualized public funding strategies significantly enhance the impact of subsidies on children's sports club participation.
- Tailoring financial support to regional socio-economic contexts and club-specific needs is key to maximizing public investment in youth sports.
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