The Effects of Population Aging on Sports Industry Development: The Mediating Effect of Technological Innovation.

It is of great practical significance to rationally formulate a development strategy for the sports industry to deeply understand and comprehensively grasp the impact of population aging on the development of the sports industry. To study the impact of population aging on the development of the sports industry, panel data at the provincial level in China from 2014 to 2020 are selected, and a mediation effect model is established to test how the aging of the population affects the development of the sports industry through technological innovation. The results show that technological innovation can explain 59.87% of the impact of population aging on the development of the sports industry without considering the control variables, and the impact of population aging on labor productivity through technological innovation is positive. Under the condition of considering the control variables, technological innovation can explain 56.74% of the impact of population aging on the development of the sports industry, and the impact of population aging on the development of the sports industry through technological innovation is positive. The proportion of the population aged 65 and above in the total population was used as a proxy variable for population aging to test the robustness test, and the impact of technological innovation on the development of the sports industry was positive without considering the control variables. In the robustness test considering the control variables, the impact of technological innovation on the development of the sports industry is positive.

Intergenerational Transmission of Obesity: Role of Education and Income.

Based on the sixth round of the 2018 Chinese Household Income Project family income survey (CHIP) data, this study made use of the OLS estimation and transfer matrix method to measure and test the problem of obesity intergenerational transmission, analyze whether there is obesity intergenerational transmission as well as between urban and rural areas, gender, and the parental education level and income level on the suppression of the obesity intergenerational transmission effect. The empirical results draw the following main conclusions: obesity intergenerational transmission in Chinese families, the degree of parental obesity has a significant positive impact on the degree of offspring obesity; the higher the degree of parental obesity, the more it can promote the degree of obesity in the offspring. Moreover, the degree of obesity intergenerational transmission is heterogeneous in urban and rural areas and gender. At the same time, the degree of rural obesity intergenerational transmission is higher than that of urban areas, and the degree of male obesity intergenerational transmission is higher than that of women.

Does Population Aging Impact China's Economic Growth?

The rapid aging of the population presents great challenges in terms of China's social security expenditure and economic growth. This paper uses the entropy method to comprehensively measure the provincial population aging index in 2008-2019 and constructs an intermediary effect model with it as the core explanatory variable. The results show that the population aging has a significant positive impact on economic growth and on the promotion of the economic growth of more developed areas; it also has a positive impact on the endowment insurance expenditure and medical and health expenditure and on the promotion of economically backward areas. Endowment spending and health spending fully mediate the relationship between population aging and economic growth.

THE IMPACT OF THE PANDEMIC LOCKDOWN ON AIR POLLUTION, HEALTH AND ECONOMIC GROWTH: SYSTEM DYNAMICS ANALYSIS.

OBJECTIVE: The aim of the paper is checking the hypothesis on the linking between consequences of pandemic lockdown and air pollution, public health, and economic growth. PATIENTS AND METHODS: Materials and methods: for prediction and modelling of the pandemic lockdown's impact on the air pollution, health, and economic growth with the system dynamics analysis and software Vensim; for the analysis, the authors used the methods as follows: bibliometric analysis with Scopus Tools Analysis and software VOSviewer. RESULTS: Results: The findings confirmed that the current rate of infected from growing disease was 11%. If quarantine continues the rate of infected from the growing disease will be 15%. If the quarantine cancels the rate of infected from the growing disease will be 5%, and the declining of GDP increment will be higher, than in scenario with quarantine. CONCLUSION: Conclusions: The findings confirmed the hypothesis that lockdown has the negative impact on the economic, social, and ecological growth of the country. At the same time, in the case, if the government cancel the quarantine, the declining of GDP increment will be higher, and the rate of infected from the growing disease will be the highest - 15%. In this case, the government should provide the quarantine regime and strengthen the control of the compliance.