Audit 4.0-based ESG assurance: An example of using satellite images on GHG emissions

IF 4.1 3区 管理学 Q2 BUSINESS
Yu Gu , Jun Dai , Miklos A. Vasarhelyi
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引用次数: 2

Abstract

As Environment, Social, and Governance (ESG) information has become an essential resource for investors, regulators have attempted to assure its quality. While more companies offer ESG disclosure, it is usually not fully substantiated with supporting information. Assurance is needed to verify that ESG reports are free of substantive errors. However, traditional financial audit approaches are less effective in providing ESG assurance due to the difference in the nature of evidence, difficulty in measuring and verifying ESG measures, and ever-changing ESG performance. To increase the effectiveness of ESG audit approaches, this study proposes Audit 4.0-based ESG assurance, which uses Big Data and emerging technologies of Audit 4.0 to capture evidence from the physical world and provide accurate assurance on ESG reports in a timely manner. We further perform a case study as a proof of concept of the proposed approach, which explores the integration of satellite-based methane estimation as ESG audit evidence. The use of satellite images provides opportunities for regulators and companies to monitor and assure ESG reports in a continuous manner.

基于审计4.0的ESG保证:使用卫星图像进行GHG排放的示例
随着环境、社会和治理(ESG)信息已成为投资者的重要资源,监管机构试图确保其质量。虽然越来越多的公司提供ESG披露,但通常没有充分的支持信息。需要保证ESG报告没有实质性错误。然而,由于证据性质的差异、难以衡量和验证ESG指标以及不断变化的ESG绩效,传统的财务审计方法在提供ESG保证方面效果较差。为了提高ESG审计方法的有效性,本研究提出了基于audit 4.0的ESG保证,该保证利用大数据和audit 4.0的新兴技术从物理世界获取证据,并及时为ESG报告提供准确的保证。我们进一步进行了一个案例研究,作为所提出方法的概念证明,该方法探索了将基于卫星的甲烷估计作为ESG审计证据的整合。卫星图像的使用为监管机构和公司提供了持续监控和确保ESG报告的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.00
自引率
6.50%
发文量
23
期刊介绍: The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.
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