Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

January 31, 2024


Pages


DOI

Article

Digital Inheritance Strategy of Spiritual Concepts in Chinese National Community Consciousness Oriented by Ethnic Literature Promotion

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Authors

Qian Wang Affiliation:
Northwest Minzu University, Lanzhou, Gansu, 730000, China.


Abstract

Chinese national community consciousness is the ideological foundation for realizing the Chinese dream. The influence of ethnic literature promotion on national community consciousness is examined through a multiple linear regression model in this paper. Using the empirical analysis method and the data from the Questionnaire for Predicting the Main Factors Affecting the Chinese National Community Consciousness, the paper conducts correlation and regression analyses on the overall level, group differences, and influencing factors of the Chinese national community consciousness at different stages, and draws out the overall characteristics of the Chinese national community consciousness and the reasons for the differences in the promotion of ethnic literature. As shown by the results, there is a strong correlation between the promotion behavior of ethnic literature and Chinese national community consciousness, with a correlation coefficient of 0.584. The mediating variable’s perceived confirmation of community consciousness has a significant regression coefficient of 0.372. The research in this paper provides the most direct empirical evidence for the behavioral tendency to build a strong sense of the Chinese national community and maintain the unity of the national community.


Keywords

Multiple linear regression, Correlation analysis, Mediating variable, Chinese national community, 93C62


Citation

Wang, Q. (2024). Digital inheritance strategy of spiritual concepts in chinese national community consciousness oriented by ethnic literature promotion. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0144

Published by: Engineering Journals

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