温室气体
范围(计算机科学)
上游(联网)
下游(制造业)
块链
磁道(磁盘驱动器)
环境经济学
业务
计算机科学
温室
排放交易
价值(数学)
产业组织
环境科学
电信
营销
经济
计算机安全
生态学
机器学习
园艺
生物
程序设计语言
操作系统
作者
J. Gregory Jenkins,Eric M. Negangard,Mark D. Sheldon
标识
DOI:10.2308/tar-2023-0222
摘要
ABSTRACT Global markets are moving toward requiring firms to track and report greenhouse gas emissions across their value chain. This includes self-generated emissions (i.e., Scope 1), emissions from power providers (i.e., Scope 2), and emissions from upstream suppliers and downstream parties (i.e., Scope 3). Yet, obtaining reliable emissions data is a complex task that often relies on cumbersome legacy processes and becomes especially challenging with upstream and downstream emissions. Using the Design Science Research Methodology, we propose and prototype (early-stage) a technological solution that uses blockchain, non-fungible tokens, and smart contracts to track and report greenhouse gas emissions across a firm’s value chain. The proposed model demonstrates how these tools can create a reliable classification and provenance of emissions that all value chain members can access for reporting purposes. Experts in the field evaluate the proposed model, find it technologically feasible, and call attention to some of its challenges. JEL Classifications: C81; P28; Q51; Q55; Q56.
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