← 論文一覧に戻る

OECD諸国における病院セクターのカーボンフットプリントの国間変動を説明する

Explaining cross-country variation in hospital-sector carbon footprint in OECD countries (原題)

IE Lopes, M Mueller, E Suzuki, T Seuring, N Sperna-Weiland, O Brito-Fernandes, D S Kringos

European Journal of Public Health📚 査読済 / ジャーナル2026-10-01#Scope 3Origin: Global経営インパクト: 調達リスク対象セクター: healthcare
DOI: 10.1093/eurpub/ckag169.953
原典: https://doi.org/10.1093/eurpub/ckag169.953

🤖 gxceed AI 要約

日本語

OECDの産業連関モデルと医療支出データを用い、OECD諸国の病院セクターGHG排出量を推計した混合研究。病院は一人当たり153.2kg CO2-e、医療システム排出の約30%を占め、国間差は構造・ガバナンス要因に起因する。脱炭素には病院・医療システム・構造の多層的介入が必要と結論づける。

English

Using an OECD input-output model based on health-expenditure data, this mixed-methods study estimates hospital-sector GHG emissions across OECD countries. Hospitals emit 153.2 kg CO2-e per capita and account for ~30% of health-system emissions, with cross-country variation driven by structural and governance factors beyond hospital control. Decarbonisation requires multi-level action across hospital, health-system, and structural levels.

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Scope 3・サプライチェーン排出はSSBJ開示や病院グループの脱炭素目標で重要性が増しており、OECD横断のベンチマークは日本の医療セクターの環境指標整備に示唆を与える。

In the global GX context

Adds rare harmonised cross-country evidence on hospital-sector Scope 3 emissions, relevant to ISSB/CSRD supply-chain disclosure and to health systems developing environmental performance indicators.

👥 読者別の含意

🔬研究者:Provides a replicable input-output method for estimating sector-level Scope 3 emissions and testing governance-level drivers.

🏢実務担当者:Highlights that hospital carbon footprints are largely supply-chain driven, so procurement engagement matters more than on-site energy alone.

🏛政策担当者:Supports designing multi-level decarbonisation policy and cross-country environmental performance indicators for health systems.

📄 Abstract(原文)

Abstract Background Greenhouse gas (GHG) emissions from the hospital-sector make up around one-third of the healthcare system’s carbon footprint in OECD countries. Harmonised cross‑country analysis remains limited, and evidence on the distribution of carbon hotspots within the hospital-sector and the most effective mitigation levers is scarce. Emission drivers lie beyond the direct control of individual hospitals, making system-level mapping essential for targeting mitigation efforts where they are most effective. This study aims to identify key factors associated with cross-country variation in hospital-sector GHG emissions and to assess the governance levels at which mitigation efforts are most effective. Methods This sequential mixed‑methods study estimates hospital‑sector GHG emissions across OECD countries using the OECD Input–Output model based on health‑expenditure data. Multivariable regression analyses then examine associations between emissions and factors operating at different governance-levels. Expert interviews provide contextualised, policy‑relevant interpretation of findings. Results Across OECD countries, hospitals emit 153,2 kg CO2‑e per capita (25,5–391,5) and account for 30,03% (20,3–42,7) of health‑system emissions. Ongoing analyses further assess the contribution of supply-chain–related emissions to hospitals’ carbon footprints and examine the industries of origin of these emissions across both domestic and international supply chains. In addition, they explore associations between hospital‑sector emissions and health expenditure, life expectancy, and avoidable mortality. Conclusions Early findings highlight the importance of addressing hospital-sector emissions through a multi-level governance lens that recognises structural and system-level drivers. This approach will inform more effective decarbonisation strategies and support the development of environmental performance indicators applicable across OECD health systems. Key messages • Hospital-sector GHG emissions vary across countries due to governance and structural factors beyond hospital control. • Decarbonisation strategies require action at hospital, health-system and structural levels.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。