Influencing Factors of Museum Self-Improvement in China: A Multiple Linear Regression Analysis

Abstract

The purpose of this research is to explore the factors influencing the self-improvement process of museums in China and to conduct empirical analyses based on multiple linear regression models. As core institutions for inheriting and displaying cultural heritage and enhancing public cultural literacy, museums’ self-improvement is of great significance in promoting cultural development, optimizing the supply of public cultural services, and enhancing social influence. This paper constructs a multiple linear regression model for the influencing factors of museum self-improvement by integrating several key variables, including emerging cultural and museum business (EF), institutional reform (SR), research and innovation level (RIL), management level (ML), and the museum cultural and creative industry (MCCI). The study employs scientific methods such as literature review, data collection, and data analysis to thoroughly explore the internal logic of museum operations and development. Through multiple linear regression analyses, it quantifies the specific influence and relative importance of each factor on the level of museum self-improvement. The results indicate that the management level (ML) is the dominant factor among the variables studied, exerting the most significant influence on museum self-improvement. Based on these empirical findings, this paper provides an in-depth analysis of the specific factors affecting museum self-improvement in China, offering solid theoretical support and practical guidance for the sustainable development of museums.