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Research Article | Open Access

Research on the impact of green finance on the high quality development of the sports industry based on statistical models

Hui Han1( )Chaoyu Yang2Xianya Geng3
School of Physical, Anhui University of Science and Technology, Huainan 232001, China
School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China
School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan 232001, China
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Abstract

The significant impact of high levels of green finance penetration on the development of the sports industry is evident, contributing to its comprehensive and high-quality growth across multiple dimensions. After analyzing the current state of the sports industry in China, data from 31 provincial-level administrative regions between 2008 and 2021 were carefully selected. An evaluation index system was established to assess the development of green finance and the high-quality development of the sports industry. The entropy method was applied to measure the levels of green finance and the quality of sports industry development in different regions. Empirical research demonstrates a statistically significant and positive relationship between green finance and the high-quality development of the sports industry, reaching a significance level of 1%. Nonetheless, there are still several challenges and areas for improvement within the realm of green finance and the sports industry's high-quality development. To propel the sports industry's growth under the umbrella of green finance, efforts should be focused on expediting the enhancement and construction of green finance, utilizing it effectively to empower the sports industry, staying attuned to the trends and dynamics of green finance development, as well as fostering a congenial environment for its further advancement.

CLC number: 60K40, 62P05

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AIMS Mathematics
Pages 27589-27604

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Cite this article:
Han H, Yang C, Geng X. Research on the impact of green finance on the high quality development of the sports industry based on statistical models. AIMS Mathematics, 2023, 8(11): 27589-27604. https://doi.org/10.3934/math.20231411

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Received: 13 July 2023
Revised: 20 September 2023
Accepted: 21 September 2023
Published: 15 November 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)