Corporate social responsibility performance, reporting and generalized methods of moments (GMM): A structured review of corporate governance determinants and firms financial consequences

Author:

Velte Patrick1ORCID

Affiliation:

1. Leuphana University of Lueneburg, Germany

Abstract

In line with the business case argument for corporate social responsibility (CSR), CSR performance and reporting should lead to positive firms’ financial outputs. As CSR issues may be linked with greenwashing behavior and self-impression management, effective corporate governance as a monitoring tool should increase CSR reporting and performance. While empirical-quantitative research on CSR extremely increased since the last decade, endogeneity concerns impair the validity of research results. This paper focuses on one of the most important techniques to include endogeneity concerns: the generalized method of moments (GMM) as dynamic panel regression. This paper summarizes the results of archival research on corporate governance determinants and firms’ financial consequences of CSR performance and reporting. The increased importance of managing and reporting on CSR issues represents the key motivation to conduct a systematic literature review. By including 131 quantitative peer-reviewed empirical studies in this field, in line with legitimacy and stakeholder theory, there are indications that 1) gender diversity positively influences CSR performance, and 2) CSR performance increases both accounting- and market-based financial performance (ROA and Tobin’s Q). A research agenda with detailed research recommendations are provided for future studies

Publisher

Virtus Interpress

Subject

General Business, Management and Accounting

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3