The Research on the Influencing Factors of Dividend Distribution Policy: Based on Empirical Data of Chinese Listed Companies in 2013-2016

Xiaohong Xiao, Chengxu Zhou

2022

Abstract

As an important content of corporate financial management, dividend distribution policy is not only the distribution of shareholders’ investment income, but also related to the company’s investment, financing and other aspects. As a new product of the capital market at home and abroad, growth enterprise market has relatively relaxed listing conditions, which makes the dividend distribution policy distinctive. Based on the data of China’s listed companies from 2013 to 2016 on growth enterprise market, this paper uses the R programming language for modeling, and uses multiple linear regression to study the influencing factors of cash dividend payment level, so as to provide reference for enterprises to formulate dividend distribution policies.

Paper Citation

in Harvard Style

Xiao X. and Zhou C. (2022). The Research on the Influencing Factors of Dividend Distribution Policy: Based on Empirical Data of Chinese Listed Companies in 2013-2016. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 281-285. DOI: 10.5220/0011174100003440

in Bibtex Style

@conference{bdedm22,
author={Xiaohong Xiao and Chengxu Zhou},
title={The Research on the Influencing Factors of Dividend Distribution Policy: Based on Empirical Data of Chinese Listed Companies in 2013-2016},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={281-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011174100003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - The Research on the Influencing Factors of Dividend Distribution Policy: Based on Empirical Data of Chinese Listed Companies in 2013-2016
SN - 978-989-758-593-7
AU - Xiao X.
AU - Zhou C.
PY - 2022
SP - 281
EP - 285
DO - 10.5220/0011174100003440