Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

Female Executives and Corporate Social Responsibility Disclosure—Empirical Evidence from A-Share Listed Companies

Authors
Siyuan Hong1, Hao Li1, *
1SILC Business School, Shanghai University, 20 ChengZhong Road, Shanghai, China
*Corresponding author. Email: 964997873@qq.com
Corresponding Author
Hao Li
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_127How to use a DOI?
Keywords
Female Executives; Corporate Social Responsibility; Listed Companies
Abstract

Fulfilling and disclosing social responsibilities has become part of a company’s day-to-day business activities. According to big data, the gender composition of corporate management personnel will make the degree and effect of corporate social responsibility disclosure. This paper uses relevant information technology to study the relationship between corporate social responsibility and the gender of corporate executives. The specific methods are as follows: This paper use Perl web page capture algorithm programming, we downloaded the annual reports of all listed companies from Cninfo.com. We utilized “jieba” programming embedded in Python and compiled all personal traits of female executives. Meanwhile, we utilized Python crawler to download all corporate social responsibilities from Hexun.com By constructing a correlation model of the relationship between female senior executives and corporate social responsibility performance and disclosure, and based on an empirical study of Chinese A-share listed companies, this paper finds that the number and shareholding ratio of female executives can both contribute to the performance of corporate social responsibility. And disclosure has a positive impact, and over-investment is inhibited by women’s participation in top management, and ultimately on CSR behavior. The purpose of this paper is to encourage companies to stimulate innovation and create a better engineer culture to inspire and motivate more female engineers to break through themselves, so that their talents can be brought into full play.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_127How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Siyuan Hong
AU  - Hao Li
PY  - 2022
DA  - 2022/12/20
TI  - Female Executives and Corporate Social Responsibility Disclosure—Empirical Evidence from A-Share Listed Companies
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1279
EP  - 1286
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_127
DO  - 10.2991/978-94-6463-030-5_127
ID  - Hong2022
ER  -