Systematic evaluation of integration between China's digital economy and sports industry: Two-stage grey relational analysis and vector autoregressive model

被引:1
|
作者
Sun, Xu [1 ]
Su, Lide [2 ]
Zhou, Bo [1 ]
Bu, Te [1 ,3 ]
Zhang, Yang
机构
[1] Hunan Normal Univ, Coll Phys Educ, Changsha, Peoples R China
[2] Inner Mongolia Univ Technol, Sch Humanities, Hohhot, Peoples R China
[3] HEHA CAT Sports Sci & Technol Inst, Changsha, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 05期
关键词
TELEVISION;
D O I
10.1371/journal.pone.0303572
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives The development of the digital economy constitutes a key component of China's endeavors to advance towards "Digital China." The sports industry functions as a new catalyst for high-quality economic growth. This study systematically evaluated the integration between these two sectors.Methods First, we conducted two levels of grey relational analysis to assess their integration between 2016 and 2021. Second, we conducted a VAR analysis to determine whether their integration between 2009 and 2021 represents a causal relationship.Results At the macro level, the grey relational analysis reveals that the sports industry (grade = 0.770) ranked second among China's eight key economic sectors in terms of digital economy integration. At the meso level, a wide variation (ranging from 0.606 to 0.789) existed in the grade of integration between the digital economy and the sub-sectors of the sports industry. According to the VAR model, the digital economy does not Granger cause (p = 0.344) the growth of the sports industry.Conclusions This study yielded two added values to the existing literature: First, there exists a sectoral imbalance in the digitization process; second, the explosive growth of the sports industry was not primarily caused by the digital economy. Accordingly, the "sports + digital" complex is still in the first wave of technological integration. We propose three policy recommendations, namely, sectoral synergistic development, overtaking via esports IP, and new economy and new regulation. Collectively, these findings provide updated insights for the digital transformation towards "building a leading sports nation" and "Digital China."
引用
收藏
页数:25
相关论文
共 24 条
  • [1] External Financing Efficiency of Rural Revitalization Listed Companies in China-Based on Two-Stage DEA and Grey Relational Analysis
    Tan, Xianhua
    Na, Sanggyun
    Guo, Lei
    Chen, Jing
    Ruan, Zhihua
    [J]. SUSTAINABILITY, 2019, 11 (16)
  • [2] EVALUATION OF THE COORDINATION BETWEEN CHINA'S TECHNOLOGY AND ECONOMY USING A GREY MULTIVARIATE COUPLING MODEL
    Xiao, Qinzi
    Shan, Miyuan
    Gao, Mingyun
    Xiao, Xinping
    Guo, Huan
    [J]. TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2021, 27 (01) : 24 - 44
  • [3] Environmental Efficiency Evaluation of China's Power Industry Based on the Two-Stage Network Slack-Based Measure Model
    Wei, Wei
    Ding, Shuangying
    Zheng, Silin
    Ma, Jingjing
    Niu, Tong
    Li, Jinkai
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (23)
  • [4] Sectoral relationship analysis on China's marine-land economy based on a novel grey periodic relational model
    Yin, Kedong
    Xu, Yao
    Li, Xuemei
    Jin, Xue
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 197 : 815 - 826
  • [5] Evaluation of provincial integration degree of "internet plus industry" based on matrix grey relational analysis Case of China 2014-2016
    Yang, Lu
    Xie, Naiming
    [J]. GREY SYSTEMS-THEORY AND APPLICATION, 2019, 9 (01) : 31 - 44
  • [6] Evaluation on Regional Innovation Performance of China's Patent Data based on two-stage Model
    Yang, Su
    Liang, Changyong
    [J]. 10TH IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS SOLI 2015, 2015, : 6 - 11
  • [7] Study on the Synergistic Evolutionary Effects of China's Digital Economy Core Industry and Energy Industry Based on DEA Malmquist Synergistic Development Model and Grey Correlation Analysis
    Xu, Guoteng
    Zhu, Jingwei
    Li, Chengjiang
    Shan, Jingtong
    [J]. SUSTAINABILITY, 2023, 15 (13)
  • [8] The Theoretical Relationship between the CCR Model and the Two-Stage DEA Model with an Application in the Efficiency Analysis of the Financial Industry
    Tsai, Ming-Chi
    Cheng, Ching-Hsue
    Van Trung Nguyen
    Tsai, Meei-Ing
    [J]. SYMMETRY-BASEL, 2020, 12 (05):
  • [9] A Dynamic Impact Evaluation of the High-Quality Development of China’s Construction Industry Using the Panel Vector Autoregressive Model
    Li, Hui
    Yang, Xin
    Meng, Fanyu
    Hou, Yu
    Zhang, Jinshuai
    Zhang, Lingyao
    Yang, Ge
    Liu, Jiyu
    [J]. Buildings, 2024, 14 (09)
  • [10] Efficiency Analysis of the U.S. Publicly Held Insurance Industry: A Two-Stage Efficiency Model
    Copeland, Mary Kay
    Cabanda, Emilyn
    [J]. INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN THE SERVICE SECTOR, 2018, 10 (01) : 1 - 15