ArticlePloS one2025
Optimizing and forecasting the development of China's sports industry structure.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Service-oriented reallocation and value-added intensity in China's sport industry, 2018-2024: A longitudinal accounting analysis.PloS one · 2026Article
- The dynamic interactions of policy instruments in China's community sports governance: a tripartite evolutionary game analysis.Frontiers in public health · 2026Article
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Authors and funding
2 authors.
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Abstract
The sports industry's contribution to economic growth is increasingly pronounced, as structural optimization offers significant potential to enhance its impact on economic development. This study employs the grey relational analysis and GM (1,1) grey prediction models to examine the correlation between China's sports sub-sectors and key national economic development indicators, providing projections for future trends. Results indicate that the sports manufacturing sector and related product sales demonstrate the strongest correlation with Gross Domestic Product (GDP), highlighting their critical role in fostering economic growth. The GM (1,1) model reliably forecasts future trends in the sports industry's added value. Based on these insights, sector-specific recommendations are proposed to promote structural optimization and sustainable development in China's sports industry.
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Registered trials
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