互联网背景下户外运动与体育旅游融合发展战略探析

IF 3.1 Q1 Mathematics
Zuofu Zhao
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引用次数: 0

摘要

本节构建户外运动与体育旅游的融合发展模型,通过时间序列、向量自回归和向量误差校正算法,分析融合发展模型中时间序列变量之间的相互作用和影响。其次,利用空间溢出效应对户外运动与体育旅游融合发展的空间相关性进行检验,有助于对户外运动与体育旅游对经济发展的空间溢出效应进行检验。最后,提出了户外运动与体育旅游的融合发展策略,并对其空间影响进行了分析。结果表明,SLM模型、SEM模型和SDM模型的Log L值分别为125.0624、123.8756和160.9998,模型拟合R²分别为0.8633、0.8730、0.8728和0.8884。对比各空间效应模型的结果发现,固定效应SDM模型的使用对户外运动与体育旅游融合发展具有显著影响。影响户外运动与体育旅游融合发展的因素空间异质性是最科学合理的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Integration Development Strategy of Outdoor Sports and Sports Tourism in the Background of Internet
Abstract In this section, a fusion development model of outdoor sports and sports tourism is constructed to analyze the interactions and effects of the time series variables in the fusion development model through the algorithms of time series, vector autoregression and vector error correction. Then, the spatial spillover effect is utilized to test the spatial correlation of the integrated development of outdoor sports and sports tourism, which helps the transition to test the spatial spillover effect of outdoor sports and sports tourism on economic development. Finally, the integration development strategy for outdoor sports and sports tourism is proposed, and its spatial impact is analyzed. The results show that the Log L values of the SLM model, SEM model and SDM model are 125.0624, 123.8756 and 160.9998, respectively, and the model fit R²is 0.8633, 0.8730, 0.8728 and 0.8884 respectively. Comparing the results of each spatial effect model, it is found that the use of the fixed effect SDM model has a significant impact on the development of the integration of outdoor sports and sports tourism. Spatial heterogeneity of factors affecting the integration development of outdoor sports and sports tourism is the most scientific and reasonable approach.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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