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

<p>Liaoning Province has a deep red cultural background and rich red tourism resources, and has an enormous potential for the development of red study tour. This paper establishes the evaluation system of the competitiveness of study tour development in Liaoning Province based on the explanatory structural model, solves the index weights through the coefficient of variation method, and gives the calculation of the competitiveness of study tour economic development. The regional differences in the competitiveness of research and study tourism economic development were measured by using the Thiel index, the spatial autocorrelation Moran index verified the regional correlation, and the TF-IDF algorithm was introduced to improve the LDA theme model thereby analyzing the emotional expression of the research and study tourism network text. Taking the tourism data of Liaoning Province from 2015 to 2019 as the research object, the data were quantitatively analyzed regarding development competitiveness evaluation, regional differences, spatial autocorrelation and emotional expression. The results of the study found that the weight of the red culture tourism market size in the economic development competitiveness of study tourism reached 29.64%, the peak and valley values of the regional differences in competitiveness from 2015 to 2019 differed by 0.0587, and significant differences were presented at the 1% level between cities. The frequency of red characteristic words reached 2,536 times. This indicates that the effective integration of red culture and study tourism in Liaoning Province effectively reduces the development differences between cities, and enhances the satisfaction of study students with red culture study tourism bases.</p>
</abstract>

Liaoning Province has a deep red cultural background and rich red tourism resources, and has an enormous potential for the development of red study tour. This paper establishes the evaluation system of the competitiveness of study tour development in Liaoning Province based on the explanatory structural model, solves the index weights through the coefficient of variation method, and gives the calculation of the competitiveness of study tour economic development. The regional differences in the competitiveness of research and study tourism economic development were measured by using the Thiel index, the spatial autocorrelation Moran index verified the regional correlation, and the TF-IDF algorithm was introduced to improve the LDA theme model thereby analyzing the emotional expression of the research and study tourism network text. Taking the tourism data of Liaoning Province from 2015 to 2019 as the research object, the data were quantitatively analyzed regarding development competitiveness evaluation, regional differences, spatial autocorrelation and emotional expression. The results of the study found that the weight of the red culture tourism market size in the economic development competitiveness of study tourism reached 29.64%, the peak and valley values of the regional differences in competitiveness from 2015 to 2019 differed by 0.0587, and significant differences were presented at the 1% level between cities. The frequency of red characteristic words reached 2,536 times. This indicates that the effective integration of red culture and study tourism in Liaoning Province effectively reduces the development differences between cities, and enhances the satisfaction of study students with red culture study tourism bases.

Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet

Applied Mathematics and Nonlinear Sciences

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

Liaoning Province has a deep red cultural background and rich red tourism resources, and has an enormous potential for the development of red study tour. This...

Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet

Data publikacji: 26 lut 2024

Zakres stron: -

Otrzymano: 15 sty 2024

Przyjęty: 21 sty 2024

DOI: https://doi.org/10.2478/amns-2024-0639

Słowa kluczowe
Explanatory structural model, Coefficient of variation method, Spatial autocorrelation, Moran’s index, Terrell’s index, TF-IDF algorithm, Red study tourism

© 2023 Xue Cao, published by Sciendo

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

Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet

Data publikacji: 26 lut 2024

Zakres stron: -

Otrzymano: 15 sty 2024

Przyjęty: 21 sty 2024

DOI: https://doi.org/10.2478/amns-2024-0639

Słowa kluczoweExplanatory structural model, Coefficient of variation method, Spatial autocorrelation, Moran’s index, Terrell’s index, TF-IDF algorithm, Red study tourism

© 2023 Xue Cao, published by Sciendo

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

Słowa kluczowe
Explanatory structural model, Coefficient of variation method, Spatial autocorrelation, Moran’s index, Terrell’s index, TF-IDF algorithm, Red study tourism