Research On Relationship Between Regional Corruption And Performance Of Listed Companies

DOI

10.2991/ictim-17.2017.1How to use a DOI?

Keywords

Regional corruption, listed companies

Abstract

The research aims to test the relationship between the degree of corruption and the performance of listed companies. Based on listed companies' data before and after the implementation of the "eight bans" in 2005 and 2011, we will use the method of empirical research to analyze the impact of regional corruption on the performance of listed companies. According to the nature of corruption, the analysis of the characteristics of the corruption event is carried out and the corruption variable is further explained by using the event system theory. The impact of corruption is analyzed with two dimensions of time and space, making the analysis of the impact of regional corruption on listed companies more objective and reducing the disturbance caused by other variables, reducing the error caused by the endogenous between corruption and economy. Result shows that there is a negative correlation between the intensity of corruption and the performance of listed companies. The regional differences will regulate the relationship between regional corruption and the performance of listed companies, and although the time characteristics of corruption events affect the listed companies, it has not been verified in this article.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fan Yang
AU  - Haining Wu
AU  - Wenjie Yang
PY  - 2017/09
DA  - 2017/09
TI  - Research On Relationship Between Regional Corruption And Performance Of Listed Companies
BT  - Proceedings of the International Conference on Transformations and Innovations in Management (ICTIM 2017)
PB  - Atlantis Press
SP  - 1
EP  - 20
SN  - 2352-5428
UR  - https://doi.org/10.2991/ictim-17.2017.1
DO  - 10.2991/ictim-17.2017.1
ID  - Yang2017/09
ER  -