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

<p>A large number of red cultural sites preserved in the Chinese countryside, as well as the red spirit are combined with cultural tourism, and the red cultural tourism industry comes into being. This paper takes the service personnel of the rural red cultural tourism industry in County M as the research object, designs the relevant questionnaire, conducts the reliability test, and then obtains the relevant data of rural revitalization and rural red cultural tourism industry chain through the questionnaire survey method. Then, using the industrial environment and policies of the rural red cultural tourism industry chain as the independent variables and rural revitalization as the dependent variable, a round-off multiple regression analysis was carried out to explore the interrelationship between the two. The results show that rural revitalization = 1.374+0.086*tourism projects + 0.147*infrastructure + 0.169*tourism market + 0.177*tourist distribution = 1.074+0.246*history and culture + 0.259*red culture + 0.214*government policies + 0.268*funding inputs. This paper assists Chinese villages in improving the red cultural tourism industry chain and promoting rural revitalization by developing the red cultural tourism industry chain.</p>
</abstract>

A large number of red cultural sites preserved in the Chinese countryside, as well as the red spirit are combined with cultural tourism, and the red cultural tourism industry comes into being. This paper takes the service personnel of the rural red cultural tourism industry in County M as the research object, designs the relevant questionnaire, conducts the reliability test, and then obtains the relevant data of rural revitalization and rural red cultural tourism industry chain through the questionnaire survey method. Then, using the industrial environment and policies of the rural red cultural tourism industry chain as the independent variables and rural revitalization as the dependent variable, a round-off multiple regression analysis was carried out to explore the interrelationship between the two. The results show that rural revitalization = 1.374+0.086*tourism projects + 0.147*infrastructure + 0.169*tourism market + 0.177*tourist distribution = 1.074+0.246*history and culture + 0.259*red culture + 0.214*government policies + 0.268*funding inputs. This paper assists Chinese villages in improving the red cultural tourism industry chain and promoting rural revitalization by developing the red cultural tourism industry chain.

Regression utility analysis of rural red cultural tourism industry chain for rural revitalization

Applied Mathematics and Nonlinear Sciences

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

A large number of red cultural sites preserved in the Chinese countryside, as well as the red spirit are combined with cultural tourism, and the red cultural...

Regression utility analysis of rural red cultural tourism industry chain for rural revitalization

Data publikacji: 05 lip 2024

Zakres stron: -

Otrzymano: 29 lut 2024

Przyjęty: 28 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1609

Słowa kluczowe
Reliability test, Questionnaire survey, Round-off multiple regression, Cultural and tourism industry chain, Rural revitalization

© 2024 Lu Yu, published by Sciendo

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

Regression utility analysis of rural red cultural tourism industry chain for rural revitalization

Data publikacji: 05 lip 2024

Zakres stron: -

Otrzymano: 29 lut 2024

Przyjęty: 28 maj 2024

DOI: https://doi.org/10.2478/amns-2024-1609

Słowa kluczoweReliability test, Questionnaire survey, Round-off multiple regression, Cultural and tourism industry chain, Rural revitalization

© 2024 Lu Yu, published by Sciendo

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

Słowa kluczowe
Reliability test, Questionnaire survey, Round-off multiple regression, Cultural and tourism industry chain, Rural revitalization