アルゴリズム的サステナビリティ：伝統的テキスタイルにおける炭素回避と製品寿命に基づくシルク・クレジットの数理モデル開発

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:炭素クレジット設計に耐久性変数を組み込む複合指標手法（Entropy-AHP）の応用例として、ベースライン設定や過大計上問題への代替アプローチを検討できる。

🏢実務担当者:伝統的・小規模サプライヤーの環境価値を定量化し、Scope 3や製品耐久性の訴求に活用する際の枠組みとして参考になる。

🏛政策担当者:非工業型生産を炭素金融に包摂する際の方法論的論点（ベースライン、耐久性、検証信頼）を整理する材料になる。

The global textile industry faces mounting pressure to substantiate its environmental claims, yet artisanal silk producers despite their comparatively low-carbon, non-industrialized production methods, still remain largely excluded from formal carbon finance mechanisms. This gap is compounded by two unresolved methodological problems when voluntary carbon credit markets have been shown to systematically overstate achieved emission reductions due to non-conservative baseline-setting, and product longevity, despite being identified as a major lever for reducing the environmental footprint of textiles, is rarely operationalized as a quantifiable variable within existing crediting frameworks. This paper develops a basic mathematical model termed the Silk Credit (SC) that integrates two components, carbon avoidance (CA) and a longevity factor (LF), combined through a hybrid Entropy-AHP weighting scheme (SC = w1 x CA + w2 x LF), grounded in Triple Bottom Line theory and composite-indicator construction methods. A survey-based research design is proposed to operationalize the model across three artisanal silk-weaving villages in Hanoi (Van Phuc, La Khe, and Phung Xa) collecting primary activity data from producing households and willingness-to-pay data from consumers, with reliability assessed via Cronbach's alpha and hypothesis testing conducted through multiple regression and PLS-SEM. An application of the model demonstrates its operational feasibility, showing differentiated SC scores across villages and a statistically plausible positive relationship between the SC index, consumer willingness to pay, and trust in algorithmic verification. The study contributes a transparent, survey-grounded alternative to conventional carbon crediting approaches and offers a replicable framework for valuing environmental and durability performance in artisanal, non-industrialized textile production. Theoretical, policy, and practical implications are discussed, along with the study's limitations and directions for empirical validation.

• openalex https://doi.org/10.5281/zenodo.23098662first seen 2026-10-04 04:46:38 · last seen 2026-10-04 04:46:39