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Dynamic Financing and Subsidy Allowances in Low-Carbon Supply Chains Under Consumption Preference Updating

消費嗜好の更新下における低炭素サプライチェーンの動的資金調達と補助金配分 (AI 翻訳)

Mingyun Gao, Qinzi Xiao, Ruiping Wu, Lixin Xia

Systems📚 査読済 / ジャーナル2026-06-05#low_carbon_supply_chainOrigin: CN経営インパクト: 資金調達対象セクター: manufacturing
DOI: 10.3390/systems14060649
原典: https://doi.org/10.3390/systems14060649

🤖 gxceed AI 要約

日本語

本論文は、消費者の環境意識の動的変化を考慮した低炭素サプライチェーンにおける、資金制約のある小売業者の混合資金調達(低炭素信用融資とトレードクレジット)と政府補助金の効果を分析する。需要情報更新を組み込んだ二期間ニュースベンダーモデルを用い、補助金の種類(低炭素信用融資 vs 販売促進補助金)が炭素削減効率とサプライチェーン利益に与える影響を比較。結果、同額の補助金では低炭素信用融資の方が炭素削減効率が高いが、利益向上には販売促進補助金が有効であり、政策目標に応じた柔軟な補助金設計の必要性を示す。

English

This paper investigates a low-carbon supply chain where a capital-constrained retailer combines low-carbon credit financing (LCF) and trade credit financing under dynamic consumer preferences. Using a two-period newsvendor model with demand updating, it compares the effects of LCF subsidies and promotion allowances on carbon reduction efficiency and supply chain profit. Key findings: LCF yields higher carbon reduction efficiency under equal subsidy amounts, but promotion allowances enhance total profit more effectively, revealing a trade-off between environmental and economic objectives. The paper recommends flexible subsidy design aligned with policy priorities.

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

日本の企業は、サプライチェーン全体での低炭素化と資金調達の両立に課題を抱えており、本論文の動的選好と混合資金調達の分析は、SSBJ対応やScope 3削減の実務に示唆を与える。特に、補助金制度の設計において環境効率と収益性のトレードオフを考慮する必要性を強調しており、日本の政策立案者にも参考となる。

In the global GX context

This research contributes to the global literature on low-carbon supply chain management by integrating dynamic consumer preferences and mixed financing options under government incentives. It offers actionable insights for policymakers designing subsidy schemes, highlighting the divergence between carbon reduction efficiency and profitability. The findings are relevant for jurisdictions like the EU and US where green finance and supply chain decarbonization are policy priorities.

👥 読者別の含意

🔬研究者:This paper provides a novel analytical model combining dynamic preference updating, mixed financing, and government subsidies, advancing theoretical understanding of low-carbon supply chain optimization.

🏢実務担当者:Firms can use the findings to evaluate the trade-off between low-carbon credit financing and promotion allowances when designing supply chain incentives under evolving consumer preferences.

🏛政策担当者:Policymakers should consider the diminishing marginal returns of subsidies and align instrument choice (LCF vs promotion allowances) with prioritized objectives of carbon reduction or economic performance.

📄 Abstract(原文)

Growing awareness of low-carbon environmental protection necessitates incorporating the dynamic evolution of consumer preferences into supply chain management. Unlike prior research focusing on single financing or static preferences, this paper uniquely integrates financing choice under mixed-financing conditions and government incentives under dynamic information updating. We investigate a low-carbon supply chain where a capital-constrained retailer combines low-carbon credit financing (LCF) and trade credit financing (TCF) and under the updating of consumption preferences during the lead time, and build a carbon reduction optimization model. The manufacturer’s abatement and production, the retailer’s financing balancing LCF and TCF under bankruptcy risk, and ordering are modeled within a two-period newsvendor framework with demand information updating. Result analysis reveals the following: (i) Under preference updating and equal subsidy amounts, LCF consistently induces higher carbon reduction efficiency than promotion allowances. (ii) Counterintuitively, promotion allowances dynamically enhance the supply chain’s total profit more effectively than LCF, exposing a critical divergence between environmental efficiency and economic performance. (iii) Across all incentive schemes (single or combined), the marginal gain in carbon reduction efficiency declines with increasing subsidy intensity. These findings imply that policymakers should flexibly align the choice of incentive instrument with the prioritized objective—carbon reduction or supply chain profitability—given the diminishing marginal returns.

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