シャープレー値を用いた共産金属のグローバルカーボンフットプリント再評価：ポートフォリオベース配分アプローチ
Reassessing global carbon footprints of co-produced metals using Shapley values: a portfolio-based allocation approach (原題)
Mario Schmidt, Roukaya Issaoui-Domnik
🤖 gxceed AI 要約
日本語
多製品系のLCAで問題となる配分について、価格変動に依存しないゲーム理論のシャープレー値による新手法を提案する。2021年の世界726鉱山ポートフォリオから金・銀・銅・鉛・亜鉛の鉱山サイトGHG排出原単位を算出し、金は約16,900kgCO2e/kg、銅は約2.8kgCO2e/kgとなった。価格非依存でポートフォリオ総量を保存するが、境界設定や独自データの網羅性に結果が依存する帰属的会計手法である。
English
Proposes a Shapley-value (game theory) allocation method for multi-product LCA that avoids price-driven volatility of economic allocation. Using a 2021 global portfolio of 726 mines, it derives mine-site GHG emission factors for Au, Ag, Cu, Pb and Zn (Au ≈16,900 kg CO2e/kg, Cu ≈2.8 kg CO2e/kg). The approach is price-independent and conserves portfolio totals but is conditional on boundary and data coverage; an attributional accounting method.
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
Scope 3算定やCBAM対応で金属の排出原単位の精度が問われる中、価格変動に左右されない配分手法は日本企業のサプライチェーン排出量算定・開示の頑健性向上に資する。SSBJのScope 3開示高度化にも示唆を与える。
In the global GX context
Allocation methodology is a persistent weak point in Scope 3 and CBAM-related metal accounting; a price-independent, portfolio-consistent approach strengthens comparability of emission factors used in disclosure and border-adjustment calculations.
👥 読者別の含意
🔬研究者:LCA配分問題にゲーム理論を持ち込む新規性と、その境界依存性という限界を評価すべき。
🏢実務担当者:金属調達のScope 3排出原単位を価格変動に左右されず算定する際の代替配分手法として検討できる。
🏛政策担当者:CBAM等の排出原単位算定で配分ルールの透明性・頑健性をどう規定するかの参考になる。
📄 Abstract（原文）
Abstract Allocation in multi-product systems is one of the controversial problems of life cycle assessment (LCA). It is currently only solved using heuristic approaches in particular as applied to the mining of minerals containing several valuable metals. Economic allocation is operationally straightforward but can yield strongly time-dependent allocation results when relative metal prices fluctuate. The proposed Shapley approach from game theory removes this specific source of variability because prices are not model inputs. It does not derive mine-specific allocation factors. Its objective is to estimate portfolio-average mine-site GHG emission intensities for gold, silver, copper, lead and zinc from a global 2021 portfolio of 726 mines. It is not the mines and mining companies that are regarded as actors, but rather the metals, which are treated as players in a game. The term ‘player’ is used solely in its mathematical sense and does not imply agency, cooperation, negotiation or economic behaviour. Coalition values are constructed from the observed annual mine portfolio, and a Shapley value averages incremental contributions over structurally admissible metal orders. Using real data sets from the mining industry, GHG emission factors for the metals Au, Ag, Cu, Pb and Zn are calculated for the year 2021. The emission factor for Au is therefore ≈ 16,900 kg CO 2 e per kg Au, for Ag ≈ 2400 kg CO 2 e/kg and for Cu ≈ 2.8 kg CO 2 e/kg after adding generic downstream contributions for comparison. The approach is price-independent and conserves the observed portfolio total, but its results are conditional on the portfolio boundary, the admissible-coalition rule and the proprietary data coverage. It is an attributional accounting method. This shows that game theory concepts should be given greater consideration in allocation issues in LCA.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44498-026-00206-wfirst seen 2026-11-13 05:19:41
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