炭素ガバナンスと配送車両のエネルギー選択：家電セクターにおける配送ネットワークモデリング研究
Carbon Governance and Distribution Vehicle Energy Choice: A Distribution Network Modeling Study in the Consumer Electronics Sector (原題)
Zibin Wang, Jinshan Dai
🤖 gxceed AI 要約
日本語
家電業界の物流段階は温室効果ガス排出の70%以上を占めるが、研究は限定的。本研究は配送ネットワークモデルを用い、炭素税・排出権取引・排出上限などの政策シナリオ下での車両エネルギー選択を分析。排出権取引が利益と排出削減を両立する最適政策であることを示した。
English
This study models distribution networks in the consumer electronics sector to analyze vehicle energy choices under carbon governance scenarios. Carbon trading emerges as the most effective policy, improving profitability while reducing emissions, unlike carbon tax or emission caps. Findings guide enterprises and governments toward carbon trading-based strategies.
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
日本では物流分野の脱炭素が課題であり、SSBJ開示やサプライチェーン排出削減が求められる中、本研究成果は企業の配送戦略や政策対応に示唆を与える。
In the global GX context
This research contributes to global logistics decarbonization literature, offering empirical evidence on carbon policy effectiveness in distribution networks, relevant to TCFD/ISSB disclosure and supply chain emission reduction strategies.
👥 読者別の含意
🔬研究者:Provides a modeling framework for analyzing vehicle energy choices under carbon policies, useful for logistics and climate policy research.
🏢実務担当者:Highlights carbon trading as a strategy to reduce emissions while maintaining profitability in distribution networks.
🏛政策担当者:Suggests that carbon trading systems, supported by carbon taxes and subsidies, are effective for decarbonizing logistics.
📄 Abstract（原文）
Global climate change has increased the urgency of reducing emissions in industrial logistics systems. In the consumer electronics industry, the distribution stage accounts for more than 70% of total greenhouse gas emissions, yet it has received limited research attention. This study develops a distribution network modeling framework to analyze transportation vehicle energy configuration decisions under different carbon governance mechanisms. Four policy scenarios, namely baseline, carbon tax, carbon trading, and carbon emission cap, are constructed to represent different levels of governance intensity. Results show that all carbon policies promote the transition toward clean-energy vehicles in distribution networks. The carbon tax scenario achieves the largest emission reduction but significantly reduces corporate profit. The emission cap scenario imposes strict limits but does not achieve the optimal emission outcome. In contrast, the carbon trading scenario simultaneously improves profitability and reduces emissions, making it the most effective policy option. The findings suggest that enterprises should prioritize carbon trading-based distribution strategies, while governments should promote carbon trading systems supported by progressive carbon taxation and low-carbon subsidies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3233/faia260687first seen 2026-08-31 05:03:53
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