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Authors:
Liu Ziming, ORCID: https://orcid.org/0000-0001-6392-5295 Henan Institute of Science and Technology (China)
Pages: 230-236
Language: English
DOI: https://doi.org/10.21272/mmi.2021.4-18
Received: 01.09.2021
Accepted: 12.12.2021
Published: 30.12.2021
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Abstract
China’s economy has achieved tremendous development in recent years. People’s living standards have gradually improved. With economic development, people’s pursuit of quality of life is increasing day by day, laying the foundation for developing China’s sports industry. At the same time, the development of the sports industry to a certain stage would promote economic growth. For example, in some western developed countries, the contribution of the sports industry to the economy has far exceeded the traditional industry. It has become a new growth point for economic development. Although the China’s sports industry has achieved certain development, it is still in its infancy. Compared with western developed countries, China’s sports industry development is still relatively slow. There are still some problems in the development of the sports industry. This paper mainly discusses the relationship between China’s sports industry and economic development. First of all, by understanding the development conditions, characteristics, and contribution to the economic growth of the foreign sports industry, the development process, development status, influencing factors, and existing problems were compared and analyzed. China’s sports industry’s economic and social effects on economic development were qualitatively described. Secondly, the gray correlation analysis method was used to empirically study the relationship between the added value of China’s sports industry and the economic development index. The correlation degree was calculated. The results showed that the added value of the sports industry is highly related to the indicators of fixed asset investment, fiscal income, and added value of the tertiary industry. There is a moderate correlation with GDP and GDP per capita and a low correlation with the total import and export and employment personnel in the tertiary industry. At the present stage, the whole society fixed assets investment, fiscal revenue, total tourism, the added value, GDP, per capita GDP development of the sports industry added value have a significant role. In turn, total import and export as well as tertiary industry employment development on the increase of added value is not significant. Thus, they did not play a good driving role between each other. Finally, according to the qualitative and quantitative analysis results, there is a certain correlation between China’s sports industry and economic development. The author put forward countermeasures and suggestions to drive the sound and rapid development of the sports industry.
Keywords: sports industry, economic development, correlation analysis, quantitative analysis, Gray analysis method.
JEL Classification: A14, C52, F43.
Cite as: Ziming, L. (2021). Management of sports industry: moving to economic development. Marketing and Management of Innovations, 4, 230-236. https://doi.org/10.21272/mmi.2021.4-18
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Beibei, X. (2011). Based on the ARIMA model: total fixed-asset investment in the whole society. Statistics and Decision Making, 15, 141-143.
- Chu, X., Gao, D., Mao, W., Guo, Z., Huang, Y., & Li, L. (2019). Study on Urbanization Level Based on Principal Component and Cluster Analysis‐‐A Case Study of Hunan Province. In 2019 16th International Conference on Service Systems and Service Management (ICSSSM) (pp. 1-8). IEEE. [Google Scholar] [CrossRef]
- Chunfeng, X., Shengrong, L., & Huiyuan, J. (2010, July). Study on relationship between road transportation and economic development in Xinjiang based on grey relation analysis. In 2010 The 2nd Conference on Environmental Science and Information Application Technology (Vol. 2, pp. 485-487). IEEE. [Google Scholar] [CrossRef]
- Cun-sheng, F. A. N. (2005). Research on the Dilemma of the Development of Sports Industry in Higher Education and its Economic Analysis [J]. Journal of Beijing University of Physical Education, 6. [Google Scholar]
- Estiri, M., Aghazadeh, H., Rayej, H., & Raoufi, T. (2010). A survey of marketing barriers of sport institutions in Iran. Business Strategy Series, 11(3), 169-176. [Google Scholar]
- Geta, D. (2001). Trend,strategies,and issues for health. The sport business monthly magazine, (01), 2-10.[Google Scholar] [CrossRef]
- Gongpu, Y. (2005). Industrial Economics [M]. Shanghai: Fudan University Press.
- Hadian, H., Razavi, S. M. H., Boroumand, M. R., & Amirnejad, S. (2020). Strategies for Developing Economy of Iran’s Sports Industry. Annals of Applied Sport Science, 8(4), 0-0. [Google Scholar]
- Hefner, F. L. (1990). Using economic models to measure the impact of sports on local economies. Journal of Sport and Social Issues, 14(1), 1-13. [Google Scholar] [CrossRef]
- Huang, L. (2011). Research on effect of Beijing post-olympic sports industry to China’s economic development. Energy Procedia, 5, 2097-2102. [Google Scholar] [CrossRef]
- Jeong, J. Y., Crompton, J. L., & Dudensing, R. M. (2016). The potential influence of researchers’“hidden” procedure decisions on estimates of visitor spending and economic impact. Journal of Travel Research, 55(7), 874-888. [Google Scholar] [CrossRef]
- Jiang, C. H., & Liang, F. (2014). Research on the sports economy effection in national economic development. In Applied Mechanics and Materials (Vol. 556, pp. 6519-6521). Trans Tech Publications Ltd. [Google Scholar] [CrossRef]
- Julong, D. (1978). Grey Systems Theory [M]. Wuhan: Huazhong University of Science and Technology Press.
- Kearney, A.T. (2014). Study: Sports Industry Growing Faster Than GDP. Retrieved from [Link]
- Ning, C., Yao, L., & Huaqiang, H. (2010). Grey relational analysis between comprehensive Bonded Zone and regional economic development. In 2010 The 2nd Conference on Environmental Science and Information Application Technology (Vol. 2, pp. 273-275). IEEE. [Google Scholar] [CrossRef]
- Oga, J., & Kimura, K. (1993). Recent trends in the sports industry in Japan. Journal of sport Management, 7(3), 249-255. [Google Scholar]
- Porter, P. K., & Chin, D. M. (2012). Economic impact of sports events. In International handbook on the economics of mega sporting events. Edward Elgar Publishing. [Google Scholar]
- Preuss, H. (2005). The economic impact of visitors at major multi-sport events. European sport management quarterly, 5(3), 281-301. [Google Scholar]
- Probert, J., Connell, D., & Mina, A. (2013). R&D service firms: The hidden engine of the high-tech economy?. Research Policy, 42(6-7), 1274-1285. [Google Scholar] [CrossRef]
- Rebo. (2012). Analysis of the interactive integration mode of the Chinese sports industry and tourism industry. Beijing Sports University,35 (9), 40-44.
- Sagas, M. (2004). Issues and trend in the United States sports industry: Marketing implications [J]. In ASPES Sport industry seminar proceedings (Vol. 3, pp. 11-15). [Google Scholar]
- Shan-dong, P. A. N. G. (2014). Sports industrys role in the further economic development of China. Journal of Shandong Institute of Physical Education and Sports, 03. [Google Scholar]
- Shifeng, L. (2013). Progress in the grey association analysis model [J]. System Engineering Theory and Practice,33(8), 2041-2045.
- Taatila, V. P. (2010). Learning Entrepreneurship in Higher Education. Education & Training, 52(1), 48-61. [Google Scholar] [CrossRef]
- Weigen, D.(2001). Industrial Economics Research [M]. Beijing: Economic Management Publishing House.
- Wu, Y. (2015). How does China’s sports industry drive its relevant industries and further pull the whole national economy. Retrieved from [Link]
- Xiandong, P. (2014). The Role Analysis of Sports Industry in the Future Economic Development of China [J]. Journal of Shandong University of Physical Education, 2014,30 (3): 32-35.
- Yan, Z., & Min, Y. (2018, August). Energy consumption prediction of trams based on grey relational analysis and regression model. In 2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE) (pp. 111-117). IEEE. [Google Scholar] [CrossRef]
- Yang, S., Xu, J., & Yang, R. (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, 12(3), 813. [Google Scholar] [CrossRef]
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