Carbon footprints of global tourism enterprises: a firm-level MRIO assessment
グローバル観光企業のカーボンフットプリント：企業レベルのMRIO評価 (AI 翻訳)
Qingyu Hao, Jiaoyan Li, Zhenyu Wang, Heran Zheng, Yu Xiong, Eduard Goean, Dabo Guan
🤖 gxceed AI 要約
日本語
本研究は、2018～2022年の主要観光上場企業80社のカーボンフットプリントをMRIOフレームワークで定量化。総排出量はコロナ禍で減少したが、Scope3サプライチェーン排出が70％超を占め、企業の脱炭素には業態別戦略が必要と示唆。
English
This study quantifies carbon footprints of 80 major listed tourism enterprises (2018-2022) using an MRIO framework. Total emissions declined due to COVID-19, but Scope 3 supply-chain emissions exceeded 70% of total. Firm-specific strategies are needed for decarbonization, given heterogeneity across business models and regions.
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
日本でも観光関連企業のScope3開示が進む中、業態別の排出構造やサプライチェーン圧力を定量的に示す本手法は、SSBJ対応や投資家向け情報開示の参考となる。特に航空・宿泊・インフラ事業者への示唆が大きい。
In the global GX context
This paper provides a rigorous firm-level MRIO approach for tourism enterprises, highlighting the dominance of Scope 3 emissions. Globally, it supports TCFD/ISSB-aligned disclosure and targeted supply-chain decarbonization strategies, especially for transport and accommodation sectors.
👥 読者別の含意
🔬研究者:Demonstrates how MRIO can integrate firm-level financial data for Scope 3 accounting, with cluster decomposition revealing heterogeneity.
🏢実務担当者:Tourism enterprises can use the methodology to identify supply-chain emission hotspots and design firm-specific reduction plans.
🏛政策担当者:Highlights the need for sector-specific policies addressing Scope 3 emissions in tourism, particularly aviation and infrastructure.
📄 Abstract（原文）
Abstract The tourism sector is a growing source of greenhouse gas emissions, yet enterprise-level assessments remain limited. This study quantifies carbon footprints of 80 major listed tourism enterprises from 2018 to 2022 using a multi-regional input–output (MRIO) framework combined with firm-level financial and operational data. Total carbon footprints declined from 70.39 Mt CO2 in 2018 to 63.96 Mt in 2022, reflecting COVID-19 disruption and early recovery. Transport activities, especially aviation, remained dominant, while electricity use and infrastructure-related demand generated substantial supply-chain pressures. Cluster-level LMDI decomposition shows strong heterogeneity across firm types: revenue contraction explained many pandemic-period reductions, whereas business-structure and carbon-intensity effects varied across clusters and should be interpreted as accounting-based indicators rather than direct evidence of long-term technological improvement. Scope 3 supply-chain emissions dominated corporate footprints, often exceeding 70% of total emissions. Differences across business models, asset intensity, supply-chain position, and regional energy context indicate that tourism-enterprise decarbonization requires firm-specific strategies. By linking enterprise heterogeneity with global supply-chain accounting, this study clarifies the structure and drivers of tourism-related emissions and supports targeted corporate mitigation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/1748-9326/ae803cfirst seen 2026-06-24 04:59:41
🔔 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。