Yuxiang Niu, Yelin Fu, Xinlai Liu, Arjun Rachana Harish, Ming Li, George Q. Huang
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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.</p>","PeriodicalId":48334,"journal":{"name":"Corporate Social Responsibility and Environmental Management","volume":"31 6","pages":"6318-6334"},"PeriodicalIF":8.3000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csr.2916","citationCount":"0","resultStr":"{\"title\":\"Blockchain-based incentive mechanism for environmental, social, and governance disclosure: A principal-agent perspective\",\"authors\":\"Yuxiang Niu, Yelin Fu, Xinlai Liu, Arjun Rachana Harish, Ming Li, George Q. Huang\",\"doi\":\"10.1002/csr.2916\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Environmental, 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. 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Blockchain-based incentive mechanism for environmental, social, and governance disclosure: A principal-agent perspective
Environmental, 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.
期刊介绍:
Corporate Social Responsibility and Environmental Management is a journal that publishes both theoretical and practical contributions related to the social and environmental responsibilities of businesses in the context of sustainable development. It covers a wide range of topics, including tools and practices associated with these responsibilities, case studies, and cross-country surveys of best practices. The journal aims to help organizations improve their performance and accountability in these areas.
The main focus of the journal is on research and practical advice for the development and assessment of social responsibility and environmental tools. It also features practical case studies and evaluates the strengths and weaknesses of different approaches to sustainability. The journal encourages the discussion and debate of sustainability issues and closely monitors the demands of various stakeholder groups. Corporate Social Responsibility and Environmental Management is a refereed journal, meaning that all contributions undergo a rigorous review process. It seeks high-quality contributions that appeal to a diverse audience from various disciplines.