The Use of Renewable Energy in Prominent City Buildings
A Diffusion Study on Top European Football Organizations
Bibliographic Data
| ID | 22418316 |
|---|---|
| Authors | Chad Seifried (0000-0003-2882-9702, Louisiana State University Baton Rouge Louisiana USA, corresponding author), Liz Wanle (0000-0002-6896-2076, Indiana University Indianapolis Indiana USA), Liz Wanless (Indiana University Indianapolis Indiana USA), Timothy Kellison (0000-0002-3706-250X, Florida State University Tallahassee Florida USA) |
| Year | 2026 |
| Publication date | 2026-03-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Business Strategy and the Environment (JOURNAL) |
| Journal identifiers | ISSN: 0964-4733 • E-ISSN: 1099-0836 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/bse.70695 |
| OpenAlex | W7134186096 |
| Language | EN |
| References cited | 55 |
The present study applied the diffusion of innovation theory to investigate the rate of diffusion of renewable energy sources used by Europe's top professional football stadiums and the relationship with carbon neutrality. A discrete diffusion model estimated the diffusion of renewable energy to saturation, and a multivariate logistic regression model examined the combined effects of various influences on achieving carbon neutrality. Among the 305 facilities, we found 129 organizations (42%) adopted at least one renewable energy source, either onsite or offsite, by 2024. Of the 256 facilities for which carbon neutrality status was available, 57 (22%) were identified as reaching carbon neutrality by 2024. The diffusion model estimated full saturation of renewable energy in 2059. Regionality, compatibility, and complexity were important considerations in adopting renewable energy and achieving carbon neutrality. New stadiums were more likely to adopt renewable energy and reach carbon neutrality by 2024 during the adoption period.
Carbon neutrality · Diffusion · Discrete choice · Football · Innovation diffusion · Neutrality · Renewable energy · Innovation Diffusion and Forecasting · Sport and Mega-Event Impacts · Sports Analytics and Performance
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| Highly cited | No |
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