Research Article
Research on Corporate Social Responsibility Choice Based on Big Data Analysis
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328854, author={Ziyang Li and Yingyue Zhang and Mengwei Zhang and Kecai Fan}, title={Research on Corporate Social Responsibility Choice Based on Big Data Analysis}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={corporate social responsibility; anti-corruption campaign; big data analysis; empirical research}, doi={10.4108/eai.2-12-2022.2328854} }- Ziyang Li
Yingyue Zhang
Mengwei Zhang
Kecai Fan
Year: 2023
Research on Corporate Social Responsibility Choice Based on Big Data Analysis
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328854
Abstract
This paper empirically examines how firms react to intense anti-corruption campaign with corporate social responsibility using econometric evidence. Using a sample of 20748 data of 3257 Chinese listed firms from 2010 to 2018 with manually collected provincial conviction and politician downfalls data, we empirically observe that firms located in areas with high anti-corruption intensity perform better in corporate social responsibility. Consistent with a political view, the relationship is weaker for firms that already own political connection resources. Our findings shed light on how firms choose their corporate social responsibility performance under anti-corruption pressure.
Copyright © 2022–2024 EAI
