REFURBISHING SUPPLY CHAIN OPTIMIZATION UNDER CAP-AND-TRADE POLICY: A COMPARATIVE ANALYSIS OF DISTRIBUTION CHANNEL STRATEGIES
排出権取引政策下での再生品サプライチェーン最適化：流通チャネル戦略の比較分析 (AI 翻訳)
Y. P. Pratama, N. Kurdhi, M. B. Sistriatmaja, Beny Trias Oktora, Salju Indara Zeith Geisth
🤖 gxceed AI 要約
日本語
本研究は、循環経済における再生品の流通チャネル戦略を、排出権取引（キャップ・アンド・トレード）政策下で数理最適化モデルを用いて比較した。直接販売モデル（Model C）は間接販売モデル（Model M）より高い利益を示し、二重限界化の緩和が確認された。感度分析では市場ポテンシャルが利益に最も影響し、炭素価格への感応度は低いことが示された。政策立案者は、排出権取引が垂直統合を促進する可能性を認識すべきと提言する。
English
This study compares refurbishing distribution channel strategies under cap-and-trade policy using mathematical optimization models. Direct distribution (Model C) outperforms indirect (Model M), mitigating double marginalization. Sensitivity analysis shows market potential and elasticity dominate profit, while carbon price has minimal impact. Policymakers should note that cap-and-trade may drive vertical integration.
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
日本では、循環経済への移行とカーボンプライシング導入が議論されており、本モデルは企業の流通戦略と排出規制の相互作用を示す。特に、直接販売が二重限界化を緩和するという知見は、日本企業のサプライチェーン設計に示唆を与える。
In the global GX context
Globally, this research contributes to the intersection of circular economy and carbon pricing, offering a mathematical framework for supply chain design under environmental regulation. It highlights potential vertical integration effects of cap-and-trade, relevant for policymakers and firms navigating transition to net-zero.
👥 読者別の含意
🔬研究者:Provides a mathematical model linking cap-and-trade to distribution channel choice, useful for further empirical testing.
🏢実務担当者:Suggests direct distribution may be more profitable under carbon constraints, informing supply chain strategy.
🏛政策担当者:Highlights that cap-and-trade may incentivize vertical integration, a consideration for market design.
📄 Abstract（原文）
To advance the circular economy, refurbishing activities are essential to mitigate industrial waste. While cap-and-trade policies regulate greenhouse emissions, their mathematical interactions with refurbishing distribution strategies remain under-researched. This study assesses the implications of distribution structures on profitability under environmental constraints. Two multivariable optimization models were developed: Model C (direct distribution) and Model M (indirect distribution via a retailer). Objective functions were optimized for price and production volume under cap-and-trade constraints. A sensitivity analysis of 15 parameters employed partial derivatives to determine the profit function's rate of change relative to market potential (Q), price elasticity (λ), cannibalization (β), and carbon costs. Model C yielded a higher optimum value ($165,796) than Model M ($124,341). Sensitivity analysis identified Q as having the highest positive gradient. Conversely, profits exhibited high sensitivity to λ and β, where incremental coefficient increases led to non-linear margin deterioration. Mathematically, optimal pricing proved nearly inelastic to carbon price fluctuations, suggesting that production costs and demand coefficients dominate the profit function's Hessian matrix. Model C maintained lower pricing for new ($370,219) and refurbished items ($220,163) compared to Model M ($555,109 and $330,081). This study demonstrates that direct distribution mitigates “double marginalization” in multi-tier chains. Mathematically, firms should prioritize optimizing market parameters (λ, β) over carbon-cost mitigation. Furthermore, policymakers must recognize that cap-and-trade programs may drive industries toward vertical integration to achieve mathematical optimality.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://online-journal.unja.ac.id/JIITUJ/article/download/52985/23804first seen 2026-05-15 17:32:23 · last seen 2026-08-02 06:16:38
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