Research on Spatial Distribution and Coupling Characteristics of Sports Industry and Tourism Industry Based on Big Data Computational Analysis

This paper focuses on the coupling and coordinated development of provincial sports industry and tourism industry.In view of the integration trend of the two as the pillar of the tertiary industry and driven by relevant policies, in view of the insuf icient quantitative and regional comparison of existing studies, data from 31 provinces from 2014 to 2021 were selected for analysis.The connotation mechanism of coupling coordination is explained from the economic, social, ecological and cultural levels, and the system including industrial scale and structural indicators is constructed, and the coupling coordination degree model is used to calculate.The results show that the coupling coordination degree of the country is rising in a step, with the eastern starting point being high, the central part making great progress and the western part growing fast.The types of industrial development vary between regions and over time.The global Moreland index shows that there are signi icant autocorrelation and clustering in the space, the local "high-high" cluster in the east and part of the middle, and the "low-low" cluster in the west.Further, suggestions were put forward to strengthen policy guidance, optimize industrial structure, promote the development of talents and technology, and strengthen the protection and utilization of ecological culture, so as to provide decision-making reference for industrial upgrading and sustainable development of regional economy.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-407
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Research on Spatial Distribution and Coupling Characteristics of Sports Industry and Tourism Industry Based on Big Data Computational Analysis

Journal of Combinatorial Mathematics and Combinatorial Computing
E-commerce and Technology Innovations
article

Research on Spatial Distribution and Coupling Characteristics of Sports Industry and Tourism Industry Based on Big Data Computational Analysis

article en

Abstract

This paper focuses on the coupling and coordinated development of provincial sports industry and tourism industry.In view of the integration trend of the two as the pillar of the tertiary industry and driven by relevant policies, in view of the insuf icient quantitative and regional comparison of existing studies, data from 31 provinces from 2014 to 2021 were selected for analysis.The connotation mechanism of coupling coordination is explained from the economic, social, ecological and cultural levels, and the system including industrial scale and structural indicators is constructed, and the coupling coordination degree model is used to calculate.The results show that the coupling coordination degree of the country is rising in a step, with the eastern starting point being high, the central part making great progress and the western part growing fast.The types of industrial development vary between regions and over time.The global Moreland index shows that there are signi icant autocorrelation and clustering in the space, the local "high-high" cluster in the east and part of the middle, and the "low-low" cluster in the west.Further, suggestions were put forward to strengthen policy guidance, optimize industrial structure, promote the development of talents and technology, and strengthen the protection and utilization of ecological culture, so as to provide decision-making reference for industrial upgrading and sustainable development of regional economy.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Decent work and economic growth
Openalex Percentile: Top 85%
E-commerce and Technology Innovations
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Research on Spatial Distribution and Coupling Characteristics of Sports Industry and Tourism Industry Based on Big Data Computational Analysis · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS