Data factors and new quality productive forces in sporting goods manufacturing enterprises effects and underlying mechanisms

Abstract As a new form of productive forces empowered by high technology, new quality productive forces constitute a crucial driving force for contemporary economic development and social progress. Examining how data factors relate to the new quality productive forces of sporting goods manufacturers is therefore important for understanding the high-quality development of the sports industry. Using panel data on Chinese sporting goods manufacturers listed on the Shanghai and Shenzhen A-share markets and the New Third Board, this research applies stepwise regression analysis to examine the relationship between data factors and firms’ new quality productive forces. The empirical results show that data factors are positively associated with the development of new quality productive forces among Chinese sporting goods manufacturers. The mechanism analysis suggests that improved resource allocation efficiency may serve as an underlying channel through which data factors support such development. The heterogeneity analysis further shows that this positive association is stronger for large sporting goods manufacturers than for small and medium-sized firms. Among large firms, however, the relationship between data factor inputs and new quality productive forces follows an inverted U-shaped pattern: new quality productive forces initially increase as data factor inputs rise but decline beyond a certain level.

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Publication Details

Journal
Scientific Reports
Published
2026-09-25
DOI
https://doi.org/10.1038/s41598-026-73133-2
Primary Topic
Global trade and economics
Type
article
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Data factors and new quality productive forces in sporting goods manufacturing enterprises effects and underlying mechanisms

Hui Huang, Qifu Wang, Jie Chen, Yunxuan Zhang
Scientific Reports
Global trade and economics
article

Data factors and new quality productive forces in sporting goods manufacturing enterprises effects and underlying mechanisms

Hui Huang, Qifu Wang, Jie Chen, Yunxuan Zhang
article en

Abstract

Abstract As a new form of productive forces empowered by high technology, new quality productive forces constitute a crucial driving force for contemporary economic development and social progress. Examining how data factors relate to the new quality productive forces of sporting goods manufacturers is therefore important for understanding the high-quality development of the sports industry. Using panel data on Chinese sporting goods manufacturers listed on the Shanghai and Shenzhen A-share markets and the New Third Board, this research applies stepwise regression analysis to examine the relationship between data factors and firms’ new quality productive forces. The empirical results show that data factors are positively associated with the development of new quality productive forces among Chinese sporting goods manufacturers. The mechanism analysis suggests that improved resource allocation efficiency may serve as an underlying channel through which data factors support such development. The heterogeneity analysis further shows that this positive association is stronger for large sporting goods manufacturers than for small and medium-sized firms. Among large firms, however, the relationship between data factor inputs and new quality productive forces follows an inverted U-shaped pattern: new quality productive forces initially increase as data factor inputs rise but decline beyond a certain level.

Scientific Reports
Guangxi Normal University (CN), Changsha Normal University (CN), Hunan Agricultural University (CN)
Decent work and economic growth
Openalex Percentile: Top 5%
Global trade and economics
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Data factors and new quality productive forces in sporting goods manufacturing enterprises effects and underlying mechanisms — Hui Huang, Qifu Wang, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS