The Effects of Population Aging on Sports Industry Development: The Mediating Effect of Technological Innovation
Abstract
:1. Introduction
2. Literature Review
2.1. The Relationship between Population Aging and Technological Innovation
2.2. The Relationship between Technological Innovation and the Development of the Sports Industry
2.3. The Relationship between Population Aging and The Development of the Sports Industry
3. Materials and Methods
3.1. Data Source
3.2. Model Setting
4. Results
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Li, J. China’s population new normal and economic new normal. Popul. Study 2015, 39, 3–13. [Google Scholar]
- Li, C.; Ge, J.; Zhao, S. Artificial intelligence, aging, and economic development. Contemp. Econ. Sci. 2022, 44, 77–91. [Google Scholar]
- Chen, Y.B.; Lin, C.; Chen, X.L. Artificial intelligence, aging and economic growth. Econ. Res. J. 2019, 54, 47–63. [Google Scholar]
- Liu, G. Progress in studying the impact of population aging on sports consumption. J. Shanghai Inst. Phys. Educ. 2012, 36, 16–19. [Google Scholar]
- Frosch, K.; Tivig, T. Age, human capital and the geography of innovation. Labor Mark. Demogr. Change 2009, 137–146. [Google Scholar]
- Huang, H. New stage, new situation: China’s sports industry development strategy foresight. J. Shanghai Univ. Sport 2022, 46, 20–31. [Google Scholar]
- Smiianov, V.A.; Vasilyeva, T.A.; Chygryn, O.Y.; Rubanov, P.M.; Mayboroda, T.M. Socioeconomic patterns of labor market functioning in the public health: Challenges connected with COVID-19. Wiad. Lek. 2020, 73, 2181–2187. [Google Scholar] [CrossRef]
- Gallo, P.; Mihalcova, B.; Vegsoova, O.; Dzurov-Vargova, T.; Busova, N. Innovative Trends in Human Resources Management: Evidence for the Health Care System. Mark. Manag. Innov. 2019, 2, 11–20. [Google Scholar] [CrossRef]
- Butko, M.; Popelo, O.; Pishenin, I. Innovations in Human Resources Management in Eurointegration Conditions: Case for Ukrainian Agro-Industrial Complex. Mark. Manag. Innov. 2019, 2, 74–82. [Google Scholar] [CrossRef]
- Yao, D.; Li, S.; Lin, S. Does aging affect technological innovation?—Literature analysis based on age structure and innovation ability. Manag. Rev. 2015, 27, 56–67. [Google Scholar]
- Ren, B. Theoretical analysis and measurement of China’s population aging promoting the development of sports industry. Shandong Sport. Sci. Technol. 2020, 42, 1–6. [Google Scholar]
- Wang, J.; Zhang, W. Impact of the «new normal» of population aging on resident sports consumption. Consum. Econ. 2016, 32, 17–23. [Google Scholar]
- Duan, Y.; Li, P.; Meng, D.; Bu, T.; Liu, X.; Popovic, S.; Matic, R.M. The Effects of Demographic Trends on the High-Quality Development of the Chinese Sports Industry. Sustainability 2022, 14, 1039. [Google Scholar] [CrossRef]
- Research on the Integrated Development of the Sports Industry and Pension Industry in China under the Background of the Aging Population; Beijing Sport University: Beijing, China, 2018.
- Sun, J.; Wang, J. Research on the digital transformation path of sports industry under the new development pattern of «double cycle». J. Shenyang Inst. Phys. Educ. 2022, 41, 103–110. [Google Scholar]
- Romer, P.M. Increasing returns and long-run growth. J. Political Econ. 1986, 94, 1002–1037. [Google Scholar] [CrossRef] [Green Version]
- Shkarlet, S.; Kholiavko, N.; Dubyna, M.; Zhuk, O. Innovation, educational, research components of the evaluation of information economy development (as exemplified by Eastern Partnership countries). Mark. Manag. Innov. 2019, 1, 70–83. [Google Scholar] [CrossRef]
- Navarrete-Dualde, J. Socioeconomic Challenges of Adolescent Obesity. Health Econ. Manag. Rev. 2022, 3, 62–73. [Google Scholar] [CrossRef]
- Letunovska, N.; Saher, L.; Vasylieva, T.; Lieonov, S. Dependence of public health on energy consumption: A cross-regional analysis. E3S Web Conf. 2021, 250, 04014. [Google Scholar] [CrossRef]
- Court, T.O. Demographic Characteristics and Job Satisfaction: The Mediation Role of Organizational Justice Perceptions in Public and Private Sector Health Organizations in Nigeria. Health Econ. Manag. Rev. 2022, 3, 1–14. [Google Scholar] [CrossRef]
- Zheng, J.; Zhu, D.; Guan, Z. The impact of working population and aging on economic growth—Is based on an empirical study of 9 provinces and cities in China. China Soft Sci. 2014, 4, 149–159. [Google Scholar]
- Cai, J.; Stoyanov, A. Population aging and comparative advantage. J. Int. Econ. 2016, 102, 1–21. [Google Scholar] [CrossRef]
- Behaghel, L.; Greenan, N. Training and age-biased technical change. Ann. Econ. Stat. Ann. D’économie Stat. 2010, 99–100, 317–342. [Google Scholar] [CrossRef]
- Trzeciak, M.; Kopec, T.P.; Kwilinski, A. Constructs of project programme management supporting open innovation at the strategic level of the organization. J. Open Innov. Technol. Mark. Complex. 2022, 8, 58. [Google Scholar] [CrossRef]
- Kwilinski, A.; Dalevska, N.; Kravchenko, S.; Hroznyi, I.; Kovalenko, O. Formation of the entrepreneurship model of e-business in the context of the introduction of information and communication technologies. J. Entrep. Educ. 2019, 22, 1–7. [Google Scholar]
- Maestas, N.; Zissimopoulos, J. How longer work lives ease the crunch of population aging. J. Econ. Perspect. 2010, 24, 139–160. [Google Scholar] [CrossRef] [Green Version]
- Lancia, F.; Prarolo, G. A politico-economic model of aging, technology adoption and growth. J. Popul. Econ. 2012, 25, 989–1018. [Google Scholar] [CrossRef] [Green Version]
- Cai, F. Population Transition, Population Dividend and Sustainability of Economic Growth–Discussion on How Full Employment Promotes Economic Growth. Popul. Res. 2004, 28, 2–9. [Google Scholar]
- Xie, X.; Zhu, X. Population Aging, Technological Innovation, and Economic Growth. China Soft Sci. 2020, 06, 42–53. [Google Scholar]
- Schneider, L. Alterung und technologisches Innovationspotential. Z. Für Bevölkerungswissenschaft 2008, 33, 37–54. Available online: https://nbn-resolving.de/urn:nbn:de:gbv:3:2-477 (accessed on 10 September 2022). [CrossRef]
- Ashworth, M.J. Preserving knowledge legacies: Workforce aging, turnover and human resource issues in the US electric power industry. Int. J. Hum. Resour. Manag. 2006, 17, 1659–1688. [Google Scholar] [CrossRef]
- Liu, X.; Zhang, P.; Shi, X. Industrial agglomeration, technological innovation and high-quality economic Development is based on the empirical research of the five major urban agglomerations in China. Reform 2022, 4, 68–87. [Google Scholar]
- Liu, L.; Lu, W.; Zhao, X.; Zhu, Y. Connotation identification, theoretical presupposition and policy implication of the high-quality development of China’s sports industry. J. Wuhan Univ. Sport 2022, 56, 55–62. [Google Scholar]
- Yang, F. Active Sports Financial Policy Research to Promote the Development of China’s Sports Industry under the New Normal. J. Shenyang Inst. Phys. Educ. 2018, 37, 23–30. [Google Scholar]
- Li, C.; Zhang, J. Study on the influence of demographic changes on rural Residents’ Consumption in China. Chin. Popul. Sci. 2009, 4, 14–22. [Google Scholar]
- He, D.; Liu, P. Population aging, transformation and upgrading of manufacturing industry and high-quality economic development is based on the intermediary effect model. Econ. Manag. Res. 2020, 41, 3–20. [Google Scholar]
- Bloom, D.E.; Canning, D.; Graham, B. Longevity and life-cycle savings. Scand. J. Econ. 2003, 105, 319–338. [Google Scholar] [CrossRef] [Green Version]
- Yu, X.; Sun, M. Study on the Impact of Population Aging on Consumption in China. J. Soc. Sci. Jilin Univ. 2012, 52, 141–147. [Google Scholar]
- Zhang, L.M. Development prospect and countermeasures of the elderly sports industry in China. Sport. Sci. Res. 2009, 13, 18–21. [Google Scholar]
- Research on the Integrated Development of the Sports Industry and Health Industry in South Sichuan under the Background of static Population Aging; Chengdu Institute of Physical Education: Chengdu, China, 2022.
- Zhao, Y.; Liu, S. Empirical study of the impact of Chinese patents on economic growth mode: 1988–2008. Quantitative Economic. Tech. Econ. Res. 2011, 28, 34–48. [Google Scholar]
- Chu, X.; Wei, S.; Xiao, L.; Wang, Y.; Chen, G. Sports Industry Cluster Promoting the High-quality Development of Chengdu-Chongqing Shuangcheng Economic Circle. Inn. Mong. Sci. Technol. Econ. 2022, 4, 9–10. [Google Scholar]
- Kang, L.; Haiyan, H. Design and Demonstration of high-quality Development Index of sports industry in the New Era. China Sport. Technol. 2022, 58, 91–99. [Google Scholar]
- Wang, W.; Jiang, Z. Review of studies on the impact of population aging on technological advances. Chin. Popul. Sci. 2016, 3, 114–125. [Google Scholar]
- Zhu, Y.; Du, W.; Zhang, J. Does industrial collaborative agglomeration improve environmental efficiency? Insights from China’s population structure. Environ. Sci. Pollut. Res. 2022, 29, 5072–5091. [Google Scholar] [CrossRef]
- Liu, Y.; Sandmann, F.G.; Barnard, R.C.; Pearson, C.A.; Pastore, R.; Pebody, R.; Jit, M. Optimizing health and economic impacts of COVID-19 vaccine prioritization strategies in the WHO European Region: A mathematical modeling study. Lancet Reg. Health-Eur. 2022, 12, 100267. [Google Scholar] [CrossRef]
- Lv, C.; Wang, Y.; Jin, C. The possibility of sports industry business model innovation based on blockchain technology: Evaluation of the innovation efficiency of listed sports companies. PLoS ONE 2022, 17, e0262035. [Google Scholar] [CrossRef]
- Hammerschmidt, J.; Kraus, S.; Jones, P. Sport entrepreneurship: Definition and conceptualization. J. Small Bus. Strategy 2022, 32, 1–10. [Google Scholar] [CrossRef]
- Uyar, Y.; Gentile, A.; Uyar, H.; Erdeveciler, Ö.; Sunay, H.; Mîndrescu, V.; Mujkic, D.; Bianco, A. Competition, Gender Equality, and Doping in Sports in the Red Queen Effect Perspective. Sustainability 2022, 14, 2490. [Google Scholar] [CrossRef]
- Sveinson, K.; Taylor, E.; Keaton, A.C.; Burton, L.; Pegoraro, A.; Toffoletti, K. Addressing Gender Inequity in Sport Through Women’s Invisible Labor. J. Sport Manag. 2022, 36, 240–250. [Google Scholar] [CrossRef]
- Spearman, L. Keeping it real: Using interviews with professionals as realistic previews of the sports industry. J. Hosp. Leis. Sport Tour. Educ. 2022, 30, 100346. [Google Scholar] [CrossRef]
- Li, X.; Zhao, X. Interaction between population aging and technological innovation: A Chinese case study. J. Adv. Comput. Intell. Intell. Inform. 2019, 23, 971–979. [Google Scholar] [CrossRef]
- Liu, Y.M. Population aging, technological innovation, and the growth of health expenditure: Evidence from patients with Type 2 diabetes in Taiwan. Value Health Reg. Issues 2020, 21, 120–126. [Google Scholar] [CrossRef] [PubMed]
- Sixsmith, A.; Mihailidis, A.; Simeonov, D. Aging and technology: Taking the research into the real world. Public Policy Aging Rep. 2017, 27, 74–78. [Google Scholar] [CrossRef]
- Fan, S.; Bai, Y. Research on the Structural Change and Optimization path of Sports Industry in China. J. Xi’an Sport. Univ. 2022, 39, 533–540. [Google Scholar]
- Zhong, H.; Wang, Z. Empirical study on the relationship between demographic dividend, labor cost and the competitiveness of sports goods export trade. J. Wuhan Univ. Phys. Educ. 2018, 52, 50–55. [Google Scholar]
- Hua, K. High-quality development of sports industry from the perspective of global value chain: International Comparison and influencing factors. J. Beijing Sport Univ. 2021, 44, 50–58. [Google Scholar]
- Fan, X. The 18-year evolution of the setting and layout of sports majors in higher vocational colleges in China (2004–2021). J. Harbin Phys. Educ. Inst. 2022, 40, 75–83. [Google Scholar]
- Zhang, L. Empirical Research of based on Space Measurement of Financial Development, Scientific and Technological Innovation and Real Economy Growth. Res. Financ. Econ. 2016, 31, 14–25. [Google Scholar]
Variable | Mean | Standard Deviation | Minimum | Maximum |
---|---|---|---|---|
Total output value of the sports industry (RMB 100 million yuan) | 1270.12 | 1296.55 | 15.89 | 5403 |
aging of the population (%) | 16.42 | 3.81 | 9.22 | 28.1 |
R & D expenditure (RMB 100 million Yuan) | 535.3 | 551.5 | 18.6 | 2499.9 |
industrial structure | 92.1 | 4.3 | 84 | 99.7 |
Human capital (human beings) | 2829.93 | 763.41 | 1690 | 5429 |
urbanization (%) | 62.70 | 12.5 | 40.14 | 89.3 |
Opening degree (US $10 billion) | 194.41 | 249.68 | 1.78 | 1084.46 |
Transportation Infrastructure (km2) | 3848.64 | 1840.07 | 465 | 7941 |
Ts | Age | Rd | Is | Hc | Urb | Open | Tra | |
---|---|---|---|---|---|---|---|---|
VIF | 5.45 | 2.68 | 3.77 | 3.05 | 1.61 | 1.78 | 3.27 | 4.12 |
1/VIF | 0.183 | 0.374 | 0.265 | 0.328 | 0.621 | 0.563 | 0.305 | 0.243 |
Variables | The Control Variables Are Not Considered | Consider Control Variables | ||||
---|---|---|---|---|---|---|
Sports Industry Development (1) | Technical Innovation (2) | Total Output Value of the Sports Industry (3) | Total Output Value of the Sports Industry (4) | Technical Innovation (5) | Sports Industry Development (6) | |
Technical innovation | 0.016 *** | 0.087 *** | ||||
Aging of population | 0.132 *** | 2.356 * | 0.094 *** | 0.195 *** | 3.355 *** | 0.098 *** |
Industrial structure | 0.015 ** | 0.063 ** | 0.082 * | |||
Human capital | 0.067 * | 0.163 * | 0.074 * | |||
urbanization | 0.042 | −0.812 | 0.048 | |||
Open to the outside world | 0.028 *** | 0.021*** | 0.011 * | |||
Transportation infrastructure | 0.035 *** | 0.044 *** | 0.037 *** | |||
Constant term | 4.318 *** | 14.69 * | 4.08 *** | 0.359 ** | −9.358 * | 0.432 * |
Individual fixed | control | control | control | control | control | control |
Time fixed | control | control | control | control | control | control |
Sargan test | 0.325 | 0.346 | 0.250 | 0.320 | 0.323 | 0.335 |
AR(1) | 0.002 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 |
p-value | 0.002 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 |
AR(2) | 0.237 | 0.138 | 0.145 | 0.159 | 0.239 | 0.215 |
p-value | 0.014 | 0.013 | 0.032 | 0.006 | 0.002 | 0.023 |
Adj-R2 | 0.531 | 0.826 | 0.543 | 0.683 | 0.804 | 0.702 |
p-value | 0.000 | 0.004 | 0.000 | 0.000 | 0.000 | 0.000 |
The Control Variables Are Not Considered | |||
---|---|---|---|
Variables | Sports Industry Development (7) | Technical Innovation (8) | Sports Industry Development (9) |
Technical innovation | 0.075 *** | ||
Aging of population | 0.165 *** | 0.047 ** | 0.029 *** |
Constant term | 2.789 *** | 6.511 *** | 342.0 *** |
Individual fixed | control | control | control |
Time fixed | control | control | control |
Adj-R2 | 0.519 | 0.663 | 0.798 |
p-value | 0.007 | 0.02 | 0.000 |
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Wei, X.; Wang, T.; Chen, Y.; Lyulyov, O.; Pimonenko, T. The Effects of Population Aging on Sports Industry Development: The Mediating Effect of Technological Innovation. Int. J. Environ. Res. Public Health 2023, 20, 2085. https://doi.org/10.3390/ijerph20032085
Wei X, Wang T, Chen Y, Lyulyov O, Pimonenko T. The Effects of Population Aging on Sports Industry Development: The Mediating Effect of Technological Innovation. International Journal of Environmental Research and Public Health. 2023; 20(3):2085. https://doi.org/10.3390/ijerph20032085
Chicago/Turabian StyleWei, Xiaolong, Tao Wang, Yang Chen, Oleksii Lyulyov, and Tetyana Pimonenko. 2023. "The Effects of Population Aging on Sports Industry Development: The Mediating Effect of Technological Innovation" International Journal of Environmental Research and Public Health 20, no. 3: 2085. https://doi.org/10.3390/ijerph20032085