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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. |
