<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Exploring the Integration Development Strategy of Outdoor Sports and Sports Tourism in the Background of Internet

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

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...

Exploring the Integration Development Strategy of Outdoor Sports and Sports Tourism in the Background of Internet

Data publikacji: 06 gru 2023

Zakres stron: -

Otrzymano: 03 mar 2023

Przyjęty: 16 cze 2023

DOI: https://doi.org/10.2478/amns.2023.2.01400

Słowa kluczowe
Internet, Outdoor sports, Sports tourism, Convergence development modeling

© 2023 Zuofu Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the Integration Development Strategy of Outdoor Sports and Sports Tourism in the Background of Internet

Data publikacji: 06 gru 2023

Zakres stron: -

Otrzymano: 03 mar 2023

Przyjęty: 16 cze 2023

DOI: https://doi.org/10.2478/amns.2023.2.01400

Słowa kluczoweInternet, Outdoor sports, Sports tourism, Convergence development modeling

© 2023 Zuofu Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Internet, Outdoor sports, Sports tourism, Convergence development modeling