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Sports Industry Agglomeration and Green Economic Growth—Empirical Research Based on Panel Data of 30 Provinces and Cities in China

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  • Jinfu Xu

    (Department of Public Sports, Fujian Jiangxia University, Fuzhou 350108, China)

  • Ruoyu Yang

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

Abstract

Based on the panel data of 30 provinces and cities in China from 2008 to 2017, this paper empirically analyzes the current situation of the development of China’s sports industry and the impact of the concentration of sports industry on green economic growth by using the exploratory spatial data analysis method (ESDA), static panel model and dynamic panel model. The empirical results show that the sports industry in the southeast coastal provinces of China has a good foundation for concentration. The sports industry concentration in the provinces along the Yangtze River Economic Belt is in the stage of rapid development. The development of sports industry concentration has obvious positive spatial aggregation characteristics, and the spatial spillover effect is obvious; The concentration of sports industry has a significant influence on green economic growth, which expresses the “inverted U-type” relationship. There are significant differences in influence between regions, which show the greatest influence in the middle, followed by the east and the smallest in the west.

Suggested Citation

  • Jinfu Xu & Ruoyu Yang, 2019. "Sports Industry Agglomeration and Green Economic Growth—Empirical Research Based on Panel Data of 30 Provinces and Cities in China," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5399-:d:272043
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    References listed on IDEAS

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    Cited by:

    1. Zhenjie Guo & Norita. E. Manly, 2024. "Unlocking the Economic Potential of Sports Lottery in China: A Knowledge-Based Economy Perspective Enhanced by Artificial Intelligence," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12919-12945, September.
    2. Zhihao Zhai & Manyu Du & Hengran Meng, 2024. "The sports industry and its effect on the quality of life and regional development," Social Science Quarterly, Southwestern Social Science Association, vol. 105(3), pages 744-759, May.
    3. Hongmei Chen & Songlin Cai, 2023. "Research on Evaluation and Influencing Factors of Regional Digital Innovation Ecosystem Resilience—Empirical Research Based on Panel Data of 30 Provinces and Cities in China," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    4. Lin Zhuo & Xiangfeng Guan & Songzhong Ye, 2020. "Quantitative Evaluation and Prediction Analysis of the Healthy and Sustainable Development of China’s Sports Industry," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    5. Yuanyuan Hao & Mengyuan Kong, 2022. "Economic effect of the golf simulation industry in Korea: an analysis based on the SVAR model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    6. Yang Ding & Gang Chen, 2022. "How Do Innovation-Driven Policies Help Sports Firms Sustain Growth? The Mediating Role of R&D Investment," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    7. Ying Song & Lu Yang & Stavros Sindakis & Sakshi Aggarwal & Charles Chen, 2023. "Analyzing the Role of High-Tech Industrial Agglomeration in Green Transformation and Upgrading of Manufacturing Industry: the Case of China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 3847-3877, December.
    8. ChenChen Wu, 2025. "The Impact of Sports Industry Output on Economic Growth: Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 8420-8440, June.
    9. Shaoxiong Yang & Jinfu Xu & Ruoyu Yang, 2020. "Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China," Sustainability, MDPI, vol. 12(3), pages 1-21, January.

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