Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 6, 2023


Pages


DOI

Article

Applying multiple linear regression to analyze the relationship between film and animation industry development and policy support


Authors

Jingya Yue Affiliation:
School of Art & Design, Zhengzhou University of Aeronautics, Zhengzhou, Henan, 450046, China.
and Shaodan Feng Affiliation:
Shool of Humanities and Law, Zhengzhou University of Aeronautics, Zhengzhou, Henan, 450046, China.


Abstract

To explore the role of policy in developing the film and animation industry to better utilize the service function of animation industry policies. This paper constructs a two-dimensional analysis model of the policy, selects and codes the policy text, and uses it as the explanatory variable in multiple linear regression. At the same time, the comprehensive evaluation of the development level of the film and animation industry was selected as the explanatory variable, the index system was constructed by using the diamond theory, and the public factors and weights of the evaluation were determined based on the factor analysis method. Finally, a regression equation was established through multiple regression analysis to explore the influence of policies on the production and revenue of film and television animation and product quality, and the correlation coefficients of the regression equation were determined. Implementing the film and television animation policy resulted in a 56.8% increase in the industry’s main business revenue. At the 0.05 level, the effect was statistically and economically significant.


Keywords

Two-dimensional analysis model, Factor analysis method, Multiple linear regression, Diamond theory, Film and animation, Industrial policy, 68T05


Citation

Yue, J. & Feng, S. (2023). Applying multiple linear regression to analyze the relationship between film and animation industry development and policy support. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00985

Published by: Engineering Journals

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