Construction and Evaluation of High-Quality Development Index System for Private Cultural Service Enterprises

DOI

10.2991/assehr.k.211216.034How to use a DOI?

Keywords

Private cultural enterprise; High-quality development; Evaluation system; Degree

Abstract

The high-quality development of private cultural enterprises is an important engine to improve the modern cultural industry system and market system. This paper defines the connotation of the high-quality development of private cultural enterprises theoretically, and holds that private cultural enterprises need to take an efficient, coordinated and sustainable path to achieve high-quality development. Combining with the management practice of private cultural enterprises, this paper constructs an evaluation index system for the high-quality development of private cultural enterprises is constructed from three dimensions of development, efficiency and sustainability. Based on the data of 40 A-share listed private cultural service enterprises, this paper uses the entropy method—TOPSIS evaluation model to measure the comprehensive index level of the high-quality development of private cultural companies from 2013 to 2019. The analysis results show that the level of high-quality development of private cultural enterprises is not high. At present, the main factors affecting the development of private cultural enterprises are low social benefits, low operating efficiency and poor operation capacity. Weak technological competitiveness leads to lack of motivation for the company’s subsequent growth, and at the same time, the company pays insufficient attentions to environmental friendliness.

Copyright

© 2021 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Ji Zhu
PY  - 2021
DA  - 2021/12/17
TI  - Construction and Evaluation of High-Quality Development Index System for Private Cultural Service Enterprises
BT  - Proceedings of the 2021 International Conference on Social Sciences and Big Data Application (ICSSBDA 2021)
PB  - Atlantis Press
SP  - 169
EP  - 175
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211216.034
DO  - 10.2991/assehr.k.211216.034
ID  - Zhu2021
ER  -