Publications by authors named "Oleksii Lyulyov"

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.

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Article Synopsis
  • The study analyzes data from the 2018 Chinese Household Income Project to investigate how obesity is transmitted from parents to children in Chinese families.
  • It finds that the level of parental obesity significantly influences the obesity levels of their offspring, with a stronger effect observed in rural areas and among males compared to urban areas and females.
  • Additionally, factors such as parental education and income levels are considered as potential influences on the intergenerational transmission of obesity.
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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.

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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%.

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