PEST Analysis of Sports Characteristic Town Construction Under the Background of “Healthy China”

  • Mengnan Xie Institute of Physical Education, Luliang University, Luliang 033001, China
Keywords: sports town, sports culture, sports industry, PEST analysis

Abstract

Sport is psychoactive and work, other than for professional sport, is generally not taken into account. The important distinctive defining feature of sport is that competition must occur against, or against, an opponent. In order to remain competitive, an activity must be declared a victor by one of the participants. The activity is simply stress free without competition. This paper analyzes the macro environment of the construction of small towns with Chinese sports characteristics by literature study, logical analysis and PEST analysis. The results are as follows: the political environment: national policies and regulations are clear, and local governments can actively promote and carry out the construction of small towns with sports characteristics; the economic environment: the sports industry will be the pillar industry of stable economic growth, and the construction of small towns with sports contains huge economy consumption potential; social environment: people have a strong interest in sports culture, and national health has become a national strategy; technology environment: “Internet plus” and science & technology can provide huge technical support for the construction of sports featured towns. Optimization path: improve policies and government supervision, and plan reasonably; strengthen environmental protection, and carry forward traditional sports culture; create “sports plus” industrial ecosystem, and enhance regional economic development; innovate scientifically and cultivate construction talents.

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Author Biography

Mengnan Xie, Institute of Physical Education, Luliang University, Luliang 033001, China

Mengnan Xie, born in May 1987, graduated from Taiyuan University of Technology, Physical Education Department in 2010 with a Bachelor’s degree in Education; graduated from Taiyuan University of Technology, Physical Education Department in 2013. He received his Master’s degree in Education from Taiyuan University of Technology in 2013, He graduated from Woosuk University in Korea in 2020 with a PhD in Sports and Taekwondo. He is currently working in the School of Physical Education at Luliang University. He is mainly engaged in the research of physical education teaching and physical culture.

References

Zhang L. Sports and Leisure Characteristic Town: Concept, Category and Development Path. China Sports Science. 2018, 38: 18–28.

Gao S, Yang Q, and Zhao M. A Study on the Policy of Small Towns with Chinese Sports Characteristics. Journal of Sports Adult Education. 2018, 10: 20–22.

Luo Z.G. There are 241 Million People Aged 60 and Over in China, Accounting for 17.3% of the Total Population. People’s Daily Overseas Edition. 2018, February 27; Sect. 03.

Zhang Y.L, Zhang B.L, Du H, and Xu C.L. Research on the Path of Building Sports Characteristic Town Under the Background of “Healthy China”. Journal of Harbin Sport University. 2018, 1: 42–45.

Cui J. Research on the Development of Small Towns with Chinese Sports Characteristics. Journal of Physical Education. 2018, 5: 54–59.

Cai Y.Z, and Chen H. Innovation Driven: the Strategic Choice of Sports Science and Technology Development in China. Journal of Beijing Sport University. 2014, (4): 10–14.

Li Q.F. A New Governance Model of Internet Plus Society: a Characteristic Town is the Object of Analysis. Architecture & Culture. 2017(6): 199–200.

Wu C.X. Research on the Promotion of Internet Plus Ice and Snow Sports. Journal of Jilin Sport University. 2016, 6: 18–21.

Liu H.X, and Jia Z.Q. The PEST Analysis on the Building of Ice Snow Sport Towns in China. Sports Culture Guide. 2018, 8: 103–108.

Li N., Ma H.T, and Li Z.J. Development Driving Mechanism of Sports Characteristic Towns in China. Journal of Shenyang Sport University. 2019, 3: 5–8.

Zhang Z.J. Thoughts behind the “Hot” Development of Sports and Leisure Characteristic Towns in China. Sports Culture Guide. 2019, 1: 77–81.

Zhu H.J., Zhang L, and Bao X.M. Case Analysis and Main Enlightenment of the Construction of International Sports Characteristic Towns. Journal of Shandong Sport University. 2018, 6: 32–33.

Zhan D.Y. Research on the Construction of Characteristic Town under the Brand Effect. Hangzhou: Zhejiang University of Technology. 2016, 33–39.

Shen Y.B. Tourism Plays an Important Role in the Construction of Characteristic Towns. Policy Outlook. 2015, 10: 21–24.

Liu H. Research on the Construction Mechanism and Path of Sports and Leisure Characteristic Town from the Perspective of New Urbanization. Journal of Nanjing Sports Institute. 2017, 7: 15–17.

Bai J.X. The Mission and Responsibility of the Construction of Chinese Traditional Sports Culture. Journal of Sports Research, 2019, (2): 1–6.

Sun Y.F., and Tang M.G. Development Course and Path of Sports Town under the Background of “Sports +”. Journal of Sports Adult Education. 2019, (4): 29–31.

Wang Z.J., and Zhang Z.Z. The Experience and Lessons of Foreign Small Town Construction Enlighten the Construction of Villages and Towns in the Eastern Coastal Areas of China. Inquiry into Economic Issues. 2011, (1): 34–39.

Z. M., and Qu D. The Characteristics of Foreign Sports Town and Its Enlightenments to China. Sports Culture Guide. 2018, (10): 126–131.

Li S., Zhang B., Panfeng F., Shakeel P.M., and Dinesh Jackson Samuel R. Computational efficient wearable sensor network health monitoring system for sports athletics using IoT. Aggression and Violent Behavior. 2020.

Gao J., Wang H., and Shen H. Machine learning based workload prediction in cloud computing. International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, USA. 2020, 1–9.

Nguyen V.C., and Kostarakis P. The impact of green systems and signals on the health of green residences’ habitants. Annals of General Psychiatry. 2018, 17: A12.

Shakeel P.M., Tobely T.E.E., Al-Feel H., Manogaran G., and Baskar S. Neural network based brain tumor detection using wireless infrared imaging sensor. IEEE Access. 2019, 7: 5577–5588.

Published
2021-12-08
Section
Sustainable Energy and Environment