Sports Industry In China Research Articles

Regional coordinated development of low-carbon sports industry in China

This study develops a systematic modeling framework, comprising a prediction model, a super-SBM model, and a spatial autocorrelation analysis model, to explore the spatial–temporal evolution tendencies of development efficiency within China's 30 regions in the low-carbon sports industry from 2006 to 2025. This framework aims to provide theoretical insights for the formulation of more targeted policies. Based on the empirical findings, the main conclusions of this study are as follows: (1) The optimal buffer operator grey prediction model demonstrates the highest accuracy among the prediction models examined. (2) The development efficiency curves of the 30 regions exhibit a significant increasing trend from 2006 to 2021, with values generally peaking between 0.4 and 0.6. (3) Notably, the disparity in development efficiency between developed and less developed regions is expected to progressively widen. (4) The development efficiency of the low-carbon sports industry across the 30 regions typically displays high-high clustering and low-low clustering during China's four five-year plan periods. This underscores the importance and urgency of promoting regional coordinated development within the low-carbon sports industry.

The Role of Social Support in the Development of the Sports Industry: A Comparative Study Between China and the United States

The evolution of the sports industry is intrinsically intertwined with the societal fabric it operates within. To foster and sustain vigorous growth in the sports industry, a comprehensive understanding of the current societal context and the derivation of insights from successful case studies are imperative. This paper embarks on a comparative analysis of the sociocultural disparities between China and the United States, recognizing the intricate interplay of political systems and public perspectives. Importantly, it highlights the pitfalls of adopting a one-size-fits-all approach, stressing the need for tailored strategies aligned with the unique dynamics of each country. The study scrutinizes several pivotal facets, including the place of sports in the collective consciousness, the population's consumer capacity for sports-related content and experiences, the degree of sports commercialization, and the methodologies employed in nurturing sports talent, contrasting the two nations. Drawing from the divergence in cultural philosophies, the paper endeavors to formulate a more nuanced and context-specific framework for the advancement of the sports industry in China. It underscores that the trajectory of future sports development in China hinges significantly on improvements in societal support, positing that without such enhancements, progress in the sector may remain sluggish. This comparative analysis seeks to provide valuable insights for policymakers, sports management professionals, and industry stakeholders in both China and the United States, offering a foundation for crafting strategies that are not only culturally relevant but also congruent with the prevailing societal ethos.

Unveiling the economic potential of sports industry in China: A data driven analysis.

The article explains the economic dynamics of the sports industry with adoption of deep learning algorithms and data mining methodology. Despite outstanding improvements in research of sports industry, a significant gap prevails with regard to proper quantification of economic benefits of this industry. Therefore, the current research is an attempt to filling this gap by proposing a specific economic model for the sports sector. This paper examines the data of sports industry covering the time span of 2012 to 2022 by using data mining technology for quantitative analyses. Deep learning algorithms and data mining techniques transform the gained information from sports industry databases into sophisticated economic models. The developed model then makes the efficient analysis of diverse datasets for underlying patterns and insights, crucial in realizing the economic trajectory of the industry. The findings of the study reveal the importance of sports industry for economic growth of China. Moreover, the application of deep learning algorithm highlights the importance of continuous learning and training on the economic data from the sports industry. It is, therefore, an entirely novel approach to build up an economic simulation framework using deep learning and data mining, tailored to the intricate dynamics of the sports industry.

Discussion on the development of sports industry in China based on the perspective of “low carbon economy”

Abstract Low-carbon economy is an important part of national strategic objectives, which not only refers to an ecological and environmental economic model but also is the main direction for the development of the sports industry. Based on the characteristics and components of the low carbon economy, this paper utilizes the environmental Kuznets curve and decoupling theory to set the goal of low carbon economy development in the sports industry and explore the influence mechanism of low carbon economy on the structural development of the sports industry. Starting from the perspective of the development of the sports industry structure, a multi-period double-difference model is designed to calculate the net effect of a low-carbon economy on the sports industry structure. The relationship between the low carbon economy and the structural change of the sports industry is visualized using non-linear fitting and partial derivatives. The evaluation model of sports industry development capacity is constructed to evaluate the development of the sports industry from two perspectives: economic performance and economic value added. The experimental results show that the impact of a low carbon economy on the structure of the sports industry is divided into three stages, namely, coefficient value <0.15, coefficient value in [0.15, 0.25), and coefficient value ≤0.25. The low-carbon economy has a marginal positive effect on the sports industry in the second stage. The calculation of EVA value shows that the EVA value of the subject sports enterprises is greater than 0 from 2017 to 2023, which indicates that the sports industry realizes value creation along with the development of the low-carbon economy.

INNOVATIONS IN THE FIELD OF SPORTS INDUSTRY MANAGEMENT: ASSESSMENT OF THE DIGITAL ECONOMY'S IMPACT ON THE QUALITATIVE DEVELOPMENT OF THE SPORTS INDUSTRY

The rapid development of the digital economy has promoted industrial transformation and upgrading, brought changes to the production mode and personal consumption mode of enterprises, and the development of traditional industries are constantly being realised in a digital format. The research of current scholars mainly focuses on: the calculation of digital economy comprehensive index, it is only scientific interpretation, lack of empirical research; second, the lack of existing research on digital economy indicators, mostly only from a single perspective; and finally, the lack of analysis of regional heterogeneity of digital economy development. Methodology. In the index system weighting method is mainly divided into subjective empowerment and objective empowerment, in terms of subjective empowerment, it is based on the relative importance between the indicators by subjective judgment to give appropriate weight, such as principal component analysis, AHP; and objective empowerment is based on the original information to empower, such as cluster analysis, standard deviation, entropy and extreme method, and so forth. In the selection of measurement method, some scholars believe that the subjective weight method will be disturbed by human factors, which will bias the calculation results, and can not respond to authenticity. In view of this, this paper adopts the entropy method to measure the high-quality economic development level and digital economy development level in 31 provinces in China from 2010 to 2019. The research of current scholars mainly focuses on: the calculation of digital economy comprehensive index, it is only scientific interpretation, lack of empirical research; second, the lack of existing research on digital economy indicators, mostly only from a single perspective; and finally, the lack of analysis of regional heterogeneity of digital economy development. This paper constructs three subsystems and 11 basic indicators to construct the evaluation index of digital economy development, and three subsystems and 9 basic indicators to evaluate the high-quality development of sports industry. To explore the spatial spillover effect of digital economy development on the high-quality development of sports industry, the high-quality development of sports industry in China in 2011-2020 was taken as the explanatory variable, and the development of digital economy was taken as the explanatory variable. The purpose of the article is to build spatial measurement model three subsystems, which include 11 basic indicators to construct the evaluation index of digital economy development, and three subsystems and 9 basic indicators to evaluate the high-quality development of sports industry. The base of research is 31 provinces, municipalities, autonomous regions of China. Conclusion. First, the digital economy is innovation as the core driving force of the new economic form, and the deep fusion of sports industry can give new impetus to the development of high-quality sports industry, further promote the development of the quality of sports industry. Second, digital economy development through advanced digital technology can directly and indirectly promote the development of sports industry, digital economy and sports industry quality development have significant spatial correlation, "high-high", "low-low" agglomeration characteristics, digital economy development can significantly promote the regional sports industry development, and the quality of sports industry development is also obvious.

The Role of Digital Economy in Enhancing the Sports Industry to Attain Sustainable Development

The digital economy system is an essential driving force that promotes the development of the sports industry, aligning with Sustainable Development Goals (SDGs), including Goal 9 (Industry, Innovation, and Infrastructure), Goal 8 (Decent Work and Economic Growth), and Goal 11 (Sustainable Cities and Communities). This paper aims to provide a comprehensive understanding of the roles of the digital economy in enhancing the sustainable high-quality development of the sports industry in China. This study utilizes panel data from 17 provinces in China, spanning the period from 2014 to 2020. The level of high-quality development in both China’s digital economy and sports industry is calculated using the entropy method. To examine the empirical relationship between the digital economy and the sports industry’s high-quality development, this study employs benchmark regression, mediation models, and spatial analysis and conducts robustness tests. The findings of this study indicate that the digital economy not only directly and significantly contributes to the development of the sports industry but also drives it indirectly through the transformative effects of technological innovation. This study reveals that the impacts of the digital economy on the sports industry’s high-quality development exhibit nonlinear characteristics, with an initial period of rapid growth followed by a diminishing growth rate and spatial spillover effects. By recognizing this dynamic relationship, stakeholders could better strategize and allocate resources in their efforts to achieve SDGs. To advance the development of the sports industry and contribute to the SDGs, it is crucial to accelerate the construction of digital infrastructure in China, nurture a diverse pool of talent in sports science and technology, and develop region-specific strategies that consider sustainability and inclusivity.

Comparative Analysis of Communication Mode and Effect of New Sports Media Platform—Taking Tencent Sports and Hupu as examples

In recent years, China has made many efforts to develop sports-related industries and the concept of national fitness. Currently, China has many new media users, and sports new media platform has become an important platform to popularize national fitness in China. So, accelerating construction and improving the quality of new media platform sports has become important for developing China’s sports industry. In such a process, the communication modes of different new media platforms influence sports news content and communication effects. It is necessary to study the communication modes of the current popular new media platform sports in order to understand the communication modes and effects of sports news. This article takes “Tencent Sports” and “Hupu” as examples. It analyzes the characteristics of the two famous platforms by using the theory of “uses and gratifications approach” and the theory of “interactive ritual chain”, aiming to summarize the advantages of the two platforms and put forward suggestions for the better construction of sports new media platforms in the future. So, the comparative analysis between “Tencent Sports” and “Hupu” has certain practical significance in promoting the popularization of sports culture and the development of the sports industry in China.

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

<abstract> <p>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.</p> </abstract>

The Coupling Coordination Degree and Spatial Correlation Analysis of the Digital Economy and Sports Industry in China

Driven by a new round of scientific and technological revolution and industrial transformation, the interactive and integrated development of the digital economy and the sports industry has become the objective demand of current economic development. In order to explore the coupling coordination relationship between the digital economy and the sports industry, this paper uses the coupling coordination degree model and exploratory spatial data analysis method to analyze the coupling coordination degree and spatial correlation of the integrated development of China’s digital economy and its sports industry. It does this by taking the statistical data of 30 provinces, autonomous regions and municipalities in China from 2015 to 2019 as observation samples. The results show that the coupling coordination degree of China’s digital economy and sports industry is low, showing an unbalanced development trend of “low in the west, high in the east, low in the north and high in the south”. There is a significant positive clustering in spatial integration of the two, and the degree of clustering increases year by year. It is necessary to establish a regional coordinated development mechanism, define the stage of regional integration, optimize the spatial pattern of coupled development, and promote the balanced development of digital economy and sports industry.

Regional Agglomeration Characteristics and Spatiotemporal Evolution of Snow and Ice Sports Industry in Heilongjiang Province from the Perspective of Time and Space

There are great differences in the regional development of the ice and snow sports industry in China. Most scholars only pay attention to the labor-related data while ignoring the regional spatial differences when calculating the industrial agglomeration level. This study takes the development of the ice and snow sports industry in Heilongjiang Province as the research object, studies and analyzes the agglomeration characteristics and spatiotemporal evolution characteristics of the ice and snow sports industry in Heilongjiang Province, and takes the location quotient as the response index to optimize the agglomeration and spatial layout of the ice and snow sports industry in order to obtain the optimal scheme for ice and snow sports industrial agglomeration and spatial layout. The results show that the spatial Gini coefficient (SGC) has increased from 0.043 in 2005 to 0.062 in 2019, but the overall trend shows periodic agglomeration and relative dispersion. More than 90% of the ice and snow sports output is concentrated in Harbin, Qiqihar, and other four cities, and the industrial geographical concentration (IGC4) is as high as 94.90%; the location quotient (LQ) gradually increased with time. After 2010, the industrial agglomeration level of Harbin surpassed Qiqihar and always ranked first (LQmax = 3.412). From 2012 to 2019, the spatial correlation of industrial agglomeration continuously increased ( P < 0.01 ), and Moran’s I index showed a trend of first decreasing and then increasing with time. The response surface model for optimizing the agglomeration and spatial layout of the ice and snow sports industry is R = 2.58 + 0.42A + 0.06B−0.17C + 0.17AB−0.03AC + 0.035BD + 0.28A2−0.2B2−0.28C2−0.26D2, and the optimal scheme is as follows: when the industrial ecological efficiency (IEE) is 0.9, the ratio of tertiary industry to primary industry (PI/TI) is 2.37, industrial pollution index (IPI) is 14.68, energy consumption index (ECI) is 0.57, and LQ can reach the maximum value of 3.386.

Ecological Efficiency Analysis of Ice and Snow Environmental Sports Industry Based on Input-Output Evaluation System

There are still some problems in China's ice and snow environmental sports industry, such as an unbalanced industrial structure and insufficient utilization of ecological resources. In order to achieve leap-forward development, the ice and snow sports industry needs to further optimize the allocation of input-output resources, enhance the overall technical capability, and improve the efficiency level of the industry. This study takes five cities of Heilongjiang, Jilin, Liaoning, Hebei, and Beijing as the research objects, constructs the input-output evaluation system of the ice-snow sports industry, measures the input-output-efficiency level of ice-snow environmental sports industry in China, and studies and analyzes the relationship between efficiency level and industrial input-output. Furthermore, this paper compares and analyzes the traditional total factor productivity and green total factor productivity of the ice and snow environmental sports industry and discusses the influencing mechanism of ecosystem efficiency of the ice-snow sports industry. The results show that the input/output ratio of different regions in 2018 was Heilongjiang (1.12) > Liaoning (1.09) > Beijing (1.08) > Hebei (1.06) > Jilin (0.81). The change in input and output level is the direct influencing factor leading to the change of efficiency, while efficiency is the core to promote the development of the ice and snow environmental sports industry. Comparing traditional and green total factor productivity, it can be found that the GameMaker Language (GML) index of green total factor productivity in Heilongjiang, Jilin, Liaoning, Hebei, and Beijing has increased by 10.50%, 9.59%, 12.22%, 11.34%, and 20.29%, respectively, in 2013. In most cases, the green total factor productivity is higher than the traditional total factor productivity, showing an environment-friendly development. The development of the ice and snow environmental sports industry, talents in the ice and snow tourism industry, urbanization level and promotion of sports cultural products in the ice and snow environment are the main external influencing factors, while the internal influencing factors are mainly reflected in the industrial structure, ownership structure, industrial relevance, industrial agglomeration degree, industrial layout, industrial scale, and differentiation of industrial product.

Modeling the Driving Factors of the Value Added in the Chinese Sports Industry: A Ridge Regression

The development of a high-quality sports industry is crucial to China’s economic growth. This research quantitatively analyzed factors influencing the development of the sports industry for the period 2010–2019. The study selected variables pertaining to the gross national income per capita (X1), household final consumption expenditure per capita (X2), sports population (X3), number of fitness venues and facilities (X4), number of sporting events (X5), and number of sports-related business registrations (X6) and analyzed their relationship with the value added to the sports industry. By developing a ridge regression model, it can be determined that correlations (Pearson’s r) between six factors and the value added to the sports industry were all greater than 0.90, and that each factor had a positive impact on the industry (p < 0.05). After standardizing the ridge regression model with the z-score method, it was determined that the degree of influence of the six factors varied: X2 (βridge = 0.156), X3 (βridge = 0.153) and X5 (βridge = 0.153), X1 (βridge = 0.151), X4 (βridge = 0.136), and X6 (βridge = 0.121). The ridge regression model can give a reference model for predicting and optimizing the sustainable development of the sports industry in China.

The Effects of Demographic Trends on the High-Quality Development of the Chinese Sports Industry

Demographic change is a fundamental characteristic of China’s demographic development. The primary problem in China’s population development has shifted in recent years from overall pressure to structural challenges. Using data from China’s seventh demographic census, this study examines the dynamics of sports consumption growth from the perspective of population structure, analyzes the characteristics of the current population structure and the current state of sports consumption development, and establishes a regression to examine the impact of population structure change trends on sports industry development. The study demonstrates that there are varying degrees of correlation between different demographic trends and the sports industry in China’s aging population: the added value per capita of the sports industry is significantly (p < 0.01), positively correlated with the proportion of the elderly population and the number of graduates from general higher education institutions. While the expansion of the sports sector continues to be positive, there are numerous issues that need to be addressed. To encourage the development of a high-quality sports industry, proactive countermeasures are proposed to adjust population policy, increase population quality, and promote the comprehensive upgrading of sports consumption.

A Study of the Influence of Collaboration Networks and Knowledge Networks on the Citations of Papers in Sports Industry in China

A scientific paper’s citation represents its influence, which is the most intuitive indicator to access the quality of papers. This paper mainly adopts the social network analysis method, using the authors and the keywords of sports industry papers in China to constitute the networks of collaboration and knowledge, to explore effects of the degree centrality of authors and keywords and the structural hole of authors and keywords on the citation of papers in the collaboration and knowledge networks and draw the following conclusions: (1) as for collaboration networks, the degree centrality at the paper level is positively correlated with citations; (2) in the collaboration network, the positive correlation between the structural hole at the paper level and citations does not exist; (3) within knowledge networks, an inverted‐U shape was found between degree centrality and paper’s citation; and (4) within knowledge networks, a positive correlation is in existence between the structural hole of papers and their citation. This study synthesizes the already widely used collaboration network with the knowledge network constructed through keywords, distinguishes from the previous network features focusing at the author level, and explores research projects of Chinese Sports Industry from the paper level, providing a new perspective for the research of sports industry in China, complementing the methods and ideas of sports industry research, as well as providing a reference for the research in other disciplinary fields.

Зв'язок між розвитком спортивної індустрії та економічним зростанням в Китаї

With the development of economy, people's pursuit of quality of life is increasing day by day, which lays a foundation for the development of sports industry in China. For example, in some western developed countries, the contribution of sports industry to economy has far exceeded that of traditional industry and become a new growth point of economic development. Although China's sports industry has made certain development, it is still in its infancy. Compared with the western developed countries, the development of China's sports industry is still relatively slow, and there are still some problems to be solved in the development of sports industry. This paper mainly studies the relationship between sports industry and economic development in China. Based on the statistical index data of national economy and sports industry development from 2011 to 2020, the relationship between sports industry development and national economic growth in China is empirically analyzed by using mathematical statistics and VAR model. According to the research results, there is a high correlation between the sports industry and economic development. The development of the sports industry is based on a certain level of economic growth of the country, while the development of the sports industry at a certain stage will have a multiplier effect. It is proved that the state should contribute to the development of the sports industry, because this ensures the symbiotic development of the national economy, which generally leads to an increase in the quality of life. To do this, it is necessary to stimulate the activity of the sports market and create a fair and open system of legal support, as well as standardize the assessment and supervision system.

Water Science Research on the Development Path of Water Sports Industry in China under the Environment of Water Science

Water Science Research on the Development Path of Water Sports Industry in China under the Environment of Water Science

Regional characteristics of sports industry profitability: Evidence from China’s province level data

Given its regionally lopsided development, the sports industry in China now largely features spatial and geographical agglomeration. Profitability is an important parameter for the sustainable development of an industry. It is interesting to make clear whether the profitability of Chinese sports industry features regional agglomeration. We firstly make a statistical analysis and probability density analysis by Random Matrix Theory (RMT) based on monthly provincial profit margin data of the sporting goods manufacturing industry listed from 2011 to 2015. We find that the profit margin of this industry is not randomly distributed over the regions. We also focus on the collective market effects of the profitability of this industry. Through the method of regression analysis on the largest 3 eigenvalues of the profit margin, we find that the eigenvalues reflect the collective market effects in Profit to Cost Ratio (PCR) and Return on Sales (ROS). At last, we search each correlation matrix of the profit margin for the clusters of provinces by using the clustering methods. We find the majority of the provinces can be categorized into clusters and most of the correlated provinces are adjacency or proximity. Our analysis provides a new understanding of the regional characteristics of sports industry profitability and offers potential practical values for the government and entrepreneurs.

The Impact of Corporate Social Responsibility on Corporate Performance - Evidence From Listed Companies in the Sports Industry in China

Maximizing profits has always been the goal and principle pursued in a company’s development. Based on this so-called business principle, companies often blindly pursue economic interests, leaving behind environmental protection and even labor rights and consumer interests, which cause many negative externalities. With the continuous development of the society and the economy, the society no longer evaluates the corporate performance of a company based on its financial performance alone. The society now expects a company not only to improve its financial performance, but also fulfill its social responsibility obligations. However, a large number of companies in China do not put their social responsibility in place. The expenditures on environmental governance, the rights of employees and small/medium investors, along with the intensity of public charity donations, are still unqualified. While the society strongly encourages companies to fulfill their social responsibility, some other parties believe that fulfilling corporate social responsibility increases the cost of a company, which consequently has a negative impact on the financial performance of the company. As a result, whether there is a need for companies to fulfill social responsibility, whether the economic benefits and corporate social responsibility are mutually antagonistic, and how companies should balance their own operations, management and fulfillment of social responsibility, need to be further studied.As an important part of the H-industry, the sports industry has a positive effect on optimizing the industrial structure, expanding domestic demand, and promoting employment. It has developed into a new long-term point in promoting urban economic development. However, at present, there has been little research on the capital management of listed companies in the sports industry. Therefore, based on the Chinese market environment, this paper listed investigates companies in the sports industry. It attempts to find out how the implementation of corporate social responsibility in the Chinese sports industry impacts the corporate performance. This paper uses panel data of 16 listed companies in the sports industry between 2009 and 2016, and rules out the possibility of spurious regression through a series of preliminary tests. Panel correction error model, asymptotic fixed effect model, super-efficiency DEA-Tobit model and threshold panel model are utilized to analyze the influence of fulfilling corporate social responsibility (CSR) on the corporate performance of listed companies in the sports industry in China.

Cultivation Methods of Sports Service and Management in Shanghai Polytechnic University

With the rapid development in sports industry in China, the talent demand for designing and carrying out sports activities is always increasing across the China, especially in the developed region. In this thesis, we offer you the opportunity to undertake a research project in building sports service and management course and ability.

Research on Talents Cultivation of Sports Economics and Management Major Based on Sports Industry Development Service in Hubei Province

The study puts forward that talents cultivation for regional sports industry. This paper takes the analysis of current satiation and tendency of sports industry in China as the logistic starting point, discusses the evolution of sports economics and management major as well as the characteristics, paths and ways about talents cultivation of the major. At last, the paper reaches the following conclusion: the talents cultivation should focus more on the regional and application needs to make cultivation mode have high pertinence and become more flexible.