低炭素医療産業の相互連関：炭素フローの特定とシナリオシミュレーション
Low-Carbon Healthcare Industry Interconnection: Carbon-Flow Identification and Scenario Simulation (原題)
Qian Wang, Chong Tan, 蔡岳昆
🤖 gxceed AI 要約
日本語
医療産業チェーンを患者中心の境界で定義し、直接炭素会計と産業連関の内包炭素フロー分析を組み合わせ、階層的協調最適化モデルを構築した。CEADsや中国統計データで2018〜2022年を較正しシナリオシミュレーションを実施。臨界経路最適化によりベースライン比約18.7%の排出削減と約4.2%の経済成長を両立し、上流製造・物流・化学投入・エネルギー供給に埋め込まれた高強度炭素フロー経路の圧縮が重要と示す。
English
The study defines a patient-centered boundary for the healthcare industry chain and builds a hierarchical collaborative optimization model combining direct carbon accounting with input-output embodied carbon-flow analysis. Calibrated with CEADs, Chinese statistical, and WHO health-expenditure data for 2018-2022, scenario simulations show critical-path optimization cuts emissions ~18.7% versus baseline while sustaining ~4.2% economic growth. It argues decarbonization must target high-intensity embodied carbon paths through upstream manufacturing, logistics, chemicals, and energy supply, not just hospital energy use.
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
医療機関の脱炭素はScope 3上流管理と密接に関わるが、本論文は中国の産業連関データに基づくモデル研究であり、日本のSSBJ・有報でのScope 3開示や医療サプライチェーン調達基準の検討に方法論的示唆を与える。
In the global GX context
While focused on China, the paper's embodied carbon-flow and critical-path approach offers a transferable methodology for Scope 3 upstream accounting in healthcare supply chains, relevant to global disclosure frameworks like ISSB and CSRD that increasingly require value-chain emissions transparency.
👥 読者別の含意
🔬研究者:産業連関と最適化を組み合わせた医療サプライチェーン脱炭素のモデル手法として参考になる。
🏢実務担当者:病院・医療関連企業がScope 3上流の炭素集約経路を特定し調達・物流改善に活かす視点を提供する。
🏛政策担当者:医療分野の脱炭素政策を施設単位から産業チェーン全体の協調ガバナンスへ広げる必要性を示唆する。
📄 Abstract（原文）
Against the combined background of global climate governance and the digital transformation of healthcare, low-carbon development in the healthcare industry chain has shifted from energy-saving measures within individual medical institutions to coordinated governance across multiple industrial sectors. This study defines a patient-centered boundary for healthcare industry interconnection. On the basis of direct carbon accounting and input-output embodied carbon-flow analysis, it develops a hierarchical collaborative optimization model that integrates critical-path emissions, terminal-sector-induced emissions, and system-stability constraints. Target cascading is adopted to decompose and coordinate the resulting multi-objective optimization problem. Using publicly available sectoral carbon-emission and input-output data from CEADs, macroeconomic data from the National Bureau of Statistics of China, and total health-expenditure data from national and WHO sources, we calibrate the healthcare industry chain for 2018-2022 and conduct scenario simulations. The results show that the critical-path optimization mechanism reduces calibrated carbon emissions by approximately 18.7% relative to the baseline while maintaining an economic output growth rate of about 4.2%. The coordinated critical-path and terminal-sector mechanism performs better in both emission-reduction performance and system stability. These findings indicate that low-carbon transformation in healthcare should not be limited to terminal energy conservation in hospitals; instead, it should identify and compress high-intensity embodied carbon-flow paths transmitted through upstream manufacturing, logistics and warehousing, chemical inputs, and energy supply.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.57237/j.wjmst.2026.03.001first seen 2026-09-19 05:04:38
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