区块链对范围 3 碳披露的价值:数据处理技术的调节作用

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL International Journal of Production Economics Pub Date : 2024-10-24 DOI:10.1016/j.ijpe.2024.109445
Yuan Chen , Yunting Feng , Kee-Hung Lai , Qinghua Zhu
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引用次数: 0

摘要

披露范围 3 的碳排放量对于减轻污染和相关环境损害至关重要,而区块链可以加强披露。然而,由于缺乏实证证据,区块链对范围 3 碳披露的影响仍不明确。本文研究了区块链对范围 3 碳信息披露的价值,并探讨了是否可以通过整合数据处理技术(包括人工智能(AI)、云计算和大数据分析(BDA))来加强这一价值。借鉴协调理论,我们认为区块链作为一种记录和追踪技术,可以提高供应链成员在收集碳排放数据方面的协调性,从而促进企业的范围 3 碳披露。此外,数据处理技术可以有效利用和管理收集到的数据,并有可能与区块链协调,加强范围 3 碳披露。我们以 2021 年和 2022 年期间中国上市公司的 422 个观测值为样本,使用回归分析法检验了这些关系。结果表明,区块链的采用与企业的范围 3 碳信息披露呈正相关。此外,采用人工智能、云计算和 BDA 三种数据处理技术中的每一种都会进一步加强这种正相关关系。本研究为有关区块链和可持续供应链管理的学术知识和证据做出了贡献,为通过结合采用区块链和数据处理技术在供应链层面管理碳排放提供了实用建议。
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Value of blockchain for scope 3 carbon disclosure: The moderating role of data processing technologies
Disclosing carbon emissions in Scope 3 is essential for mitigating pollution and the associated environmental damage, and blockchain can enhance the disclosure. However, the effect of blockchain on Scope 3 carbon disclosure remains unclear due to a lack of empirical evidence. This paper investigates the value of blockchain for Scope 3 carbon disclosure and examines whether this value can be strengthened by integrating data processing technologies, including artificial intelligence (AI), cloud computing, and big data analytics (BDA). Drawing upon the coordination theory, we posit that blockchain as a recording and tracing technology can improve the coordination among supply chain members on collecting carbon emissions data, thereby facilitating firms' Scope 3 carbon disclosure. Furthermore, data processing technologies enable efficient utilization and management of the collected data, potentially coordinating with blockchain to enhance Scope 3 carbon disclosure. We test these relationships using regression analysis based on a sample of 422 observations for Chinese listed firms during 2021 and 2022. The results show that blockchain adoption is positively associated with a firm's Scope 3 carbon disclosure. In addition, adopting each of the three data processing technologies—AI, cloud computing, and BDA—further strengthens the positive relationship. This study contributes to academic knowledge and evidence on blockchain and sustainable supply chain management with practical suggestions for managing carbon emissions at the supply chain level through the combined adoption of blockchain and data processing technologies.
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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