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

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 struct...

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Main Author: Cao Xue
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns-2024-0639
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author Cao Xue
author_facet Cao Xue
author_sort Cao Xue
collection DOAJ
description 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.
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spelling doaj.art-7a89d076d2a8427c92c4c6dc23136a832024-03-04T07:30:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0639Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of InternetCao Xue01Art College, College of Art and Design Dalian, Dalian, Liaoning, 116000, China.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.https://doi.org/10.2478/amns-2024-0639explanatory structural modelcoefficient of variation methodspatial autocorrelationmoran’s indexterrell’s indextf-idf algorithmred study tourism93c62
spellingShingle Cao Xue
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
explanatory structural model
coefficient of variation method
spatial autocorrelation
moran’s index
terrell’s index
tf-idf algorithm
red study tourism
93c62
title Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet
title_full Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet
title_fullStr Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet
title_full_unstemmed Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet
title_short Study on the Strategy of Red Literature and Tourism Brand Communication Helping Study Tourism Economic Development in Liaoning Province under the Background of Internet
title_sort study on the strategy of red literature and tourism brand communication helping study tourism economic development in liaoning province under the background of internet
topic explanatory structural model
coefficient of variation method
spatial autocorrelation
moran’s index
terrell’s index
tf-idf algorithm
red study tourism
93c62
url https://doi.org/10.2478/amns-2024-0639
work_keys_str_mv AT caoxue studyonthestrategyofredliteratureandtourismbrandcommunicationhelpingstudytourismeconomicdevelopmentinliaoningprovinceunderthebackgroundofinternet