The Management Performance Evaluation of Chinese Listed Cultural Companies Based on Factor Cluster Analysis

Mengyue Li

《International Journal of Social Science and Education Research》 5卷9期 (2022/09) Pp. 804-812

https://doi.org/10.6918/IJOSSER.202209_5(9).0113

摘要

With the liberalization of national policies related to the cultural industry and the increasing improvement of China's market economy system, the cultural, sports and entertainment industry rose rapidly and developed rapidly, making a lot of contributions to the improvement of the national economy, the prosperity of the capital market and the optimization of the supply structure. In order to study the operating performance of listed companies in the cultural industry in Shanghai and Shenzhen, 51 cultural listed companies were selected as samples, and SPSS 23 software was used to conduct factor analysis and K‐means cluster analysis, focusing on the factors with great influence on the operating performance of enterprises. The research results show that the operating performance gap of listed Chinese cultural companies is large, and the overall operating performance is not very optimistic, and the suggestions are put forward based on different factors.

關鍵字

Cultural industry ； Business performance ； Factor analysis,K‐means cluster analysis

參考文獻

Y. Shu, G.H. Xu: Multi-level Dynamic Fuzzy Evaluation and BP Neural Network Method for Performance Evaluation of Chinese Private Enterprises, WIRELESS PERSONAL COMMUNICATIONS , vol.102(2018)No.4, p.2715-2726.

J. Li:The strain and change of high-quality development of cultural industry, Journal of Beijing Union University (Humanities and Social Sciences Edition), vol.19(2021)No.04, p.25-32.

H. Chen. Study on the Impact of Capital Structure on Company Performance (MS., Hubei University, China 2014), p.17.

G.W. Hou, T.L. Hao: Construction and demonstration of enterprise business performance evaluation indicators, Statistics and Decision-making, (2015)No.16, p.169-171.

Z.W. Li: Business performance evaluation of e-commerce enterprises under the perspective of factor analysis method, Business Economics Research, (2017)No.24, p.119-121.