Dynamic Evolution,Spatial Characteristics and Obstacle Factors of the Integrated Development of Sports Industry and Tourism Industry in China
Based on the panel data of 31 provinces(municipalities or autonomous regions)in China from 2014 to 2021,this study uses coupling coordination degree model,kernel density estimation,Moran index,Thiel index and obstacle degree model to make an empirical analysis of the dynamic evolution,spatial characteristics and obstacle factors of the integrated development of sports industry and tourism industry.Results show that:(1)The comprehensive development level of China's sports industry and tourism industry is different,but both show a fluctuating growth trend,and the comprehensive development level of sports industry is gradually higher than that of tourism industry;(2)The integration and development level of China's sports industry and tourism industry continues to strengthen,showing a gradient spatial dynamic evolution pattern with the southeast coastal provinces as the core and gradually spreading to the northwest;(3)The spatial correlation between the integrated development level of China's sports industry and tourism industry is significant,showing the characteristics of high value aggregation connection,but most provinces have long been in transition areas and low level development areas without transition phenomenon,and the integrated development path is relatively solidified;(4)The regional differences in the integration and development level of China's sports industry and tourism industry show a decreasing trend;(5)Compared with industrial base and market size,industrial contribution is the key obstacle to the integration and development of China's sports industry and tourism industry.It is suggested that we improve the level of comprehensive industrial development and promote high-quality integrated development;give full play to the leading role of regions with integrated advantages and improve the inter-regional benefit compensation mechanism;take various measures to address inadequacies and improve the contribution and benefit of the industries.
NETL
NSTL
万方数据
