Blockchain‐based incentive mechanism for environmental, social, and governance disclosure: A principal‐agent perspective

Author:

Niu Yuxiang1ORCID,Fu Yelin2ORCID,Liu Xinlai3,Harish Arjun Rachana1,Li Ming45ORCID,Huang George Q.45ORCID

Affiliation:

1. Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong Hong Kong SAR China

2. College of Economics Shenzhen University Shenzhen China

3. Systems Engineering Cornell University Ithaca New York USA

4. Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong SAR China

5. Research Institute for Advanced Manufacturing The Hong Kong Polytechnic University, Hung Hom Hong Kong SAR China

Abstract

AbstractEnvironmental, social, and governance (ESG) disclosure has drawn much attention from listed companies, investors, and regulators. In response to the increasing demand of investors and regulators for non‐financial information, listed companies have paid attention to publishing ESG reports consisting of environmental, social, and governance information. Listed companies are increasingly required to provide high‐quality information that is clear and comparable. However, the lack of incentive to listed companies makes it hard to improve the quality of ESG disclosure, and the cost of ESG disclosure leads to the uncontrollable quality of ESG reports and may even manipulation by opportunistic behaviors. In this paper, we illustrate the moral hazard problem in ESG disclosure from the perspective of investors and listed companies, in which the effort level for listed companies to provide high‐quality ESG report cannot be observed by investors. Then we propose a blockchain‐based incentive mechanism for ESG disclosure from a principal‐agent perspective to improve the information quality of ESG disclosure, where investors act as principal and listed companies act as agents. Token in blockchain technology is utilized as the rewards to improve the listed companies' reputation, thus increasing their chance of being promoted to investors for preferential investment opportunities in the blockchain platform. We then design the first‐best (FB) and second‐best (SB) optimal contracts based on classic principal‐agent model to overcome the moral hazard problem. Extensive simulations are conducted to demonstrate the effectiveness and feasibility of the incentive mechanism.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Innovation and Technology Fund

Publisher

Wiley

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