公開されたカーボンフットプリントを自文書と照合する：データセンター機器の製品開示111件の監査（データ・コード）
Data and code for: Checking a published carbon footprint against its own document - an audit of 111 product disclosures for data-centre hardware (原題)
Liang-Cheng Chang, Hsiu Hsing Chiu
🤖 gxceed AI 要約
日本語
データセンター機器4社の製品カーボンフットプリント開示111件を対象に、開示文書内の数値の内部整合性を監査した研究の再現パッケージ。見出し数値が同一文書内の他の記載値から導出可能か、成分値の合計が見出し総計と一致するか、要約統計量が単一分布に収まり得るかを、分布を仮定しない手法で検証する。111文書の原本、全印刷値と判定を記録したマスターテーブル、抽出・分析コード一式を収録し、再構築でバイト単位の再現を可能にする。
English
Replication package for an audit of 111 product carbon footprint disclosures from four data-centre hardware vendors, testing internal consistency of each document. It checks whether headline figures are derivable from other printed values, whether component values sum to printed totals, and whether summary statistics are mutually compatible under distribution-free bounds. Includes all 111 archived sources, a master table of every printed value and verdict with SHA-256 hashes, and full extraction/analysis code for byte-exact rebuilds.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
SSBJ基準や有価証券報告書でのScope 3開示が進む日本企業にとって、製品別炭素足跡の『自文書内整合性』を第三者が検証できる形にする本手法は、開示の信頼性確保とグリーンウォッシュ回避の実務に直結する。特にデータセンター向けハードウェアを供給する電機・IT企業の製品CFP開示に示唆が大きい。
In the global GX context
As ISSB/CSRD and SEC climate rules push product-level and Scope 3 disclosure into the assurance spotlight, this audit offers a reproducible, distribution-free method for testing whether a published PCF is internally coherent. It strengthens the evidentiary basis for disclosure infrastructure and greenwashing detection in global carbon accounting.
👥 読者別の含意
🔬研究者:Provides a transparent, reproducible audit protocol and open dataset for studying internal consistency of corporate carbon disclosures.
🏢実務担当者:Offers a checklist-style method to self-audit product carbon footprint documents before publication, reducing assurance and greenwashing risk.
🏛政策担当者:Illustrates how regulators and assurance providers can test disclosure coherence using only the published document, without proprietary data.
📄 Abstract（原文）
Replication package for a study auditing what a reader can check inside published product carbon footprint (PCF) disclosures for data-centre hardware. 111 documents from four vendors were retrieved and archived between 29 and 31 October 2026, and each was asked three separate questions: whether its headline figure is determined by the other quantities printed in the same document, without importing an assumption the document does not state; whether printed absolute component values close on the printed total; and whether the printed summary statistics could all belong to one probability distribution, tested only with distribution-free bounds. The package contains the 111 archived source documents, a per-document master table carrying every printed value and every verdict together with a SHA-256 prefix for each file, and the complete extraction and analysis code. Every table, figure and number in the paper is generated from the master table; nothing is counted by hand. A clean extraction followed by a rebuild reproduces the master table byte for byte. See README.md for the commands and for the poppler-utils dependency.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.23833041first seen 2026-11-02 04:53:55 · last seen 2026-11-05 05:21:07
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。