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Who Generates the Carbon Emissions Embedded in Tourism Demand? Uncovering Hub Sectors and Strategic Roles in China’s Intersectoral Emission Network

観光需要に埋め込まれた炭素排出は誰が生み出すのか?中国の部門間排出ネットワークにおけるハブ部門と戦略的役割の解明 (AI 翻訳)

Li X, Tang Z, Liu K, Zhan Y

Research Squareプレプリント2026-06-30#炭素会計Origin: CN対象セクター: cross_sector
DOI: 10.21203/rs.3.rs-9669782/v1
原典: https://doi.org/10.21203/rs.3.rs-9669782/v1

🤖 gxceed AI 要約

日本語

本研究は環境産業連関分析と複雑ネットワーク理論を統合し、観光需要に起因する部門間炭素フローを分析する。中国の炭素排出フローネットワークはスケールフリー性を示し、少数のハブ部門が多くの観光関連排出を支配する。観光関連部門は「受容者」と「運搬者」に二分され、ネットワーク構造に応じた排出削減政策の必要性を明らかにした。

English

This study integrates environmental input-output analysis with complex network theory to trace tourism-driven inter-sectoral carbon flows in China. The carbon emission flow network exhibits scale-free properties, with a few hub sectors dominating most tourism-related emissions. Tourism-related sectors are classified as 'receivers' or 'carriers', highlighting the need for tailored decarbonization policies based on network structure.

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

日本でも観光産業のカーボンフットプリント算定が進む中、部門間ネットワーク分析はSSBJやカーボンアカウンティングの高度化に示唆を与える。特に観光需要のScope 3排出把握と重点削減部門の特定に応用可能。

In the global GX context

This paper offers a novel network-based method for tracing carbon flows across sectors, relevant to global supply-chain decarbonization and tourism carbon footprinting. The findings support targeted emission reduction policies, aligning with TCFD/ISSB guidance on value-chain emissions.

👥 読者別の含意

🔬研究者:Network analysis combined with input-output modeling offers a new lens for studying carbon flows; applicable to other sectors and countries.

🏢実務担当者:Tourism and hospitality firms can use hub sector identification to prioritize supply-chain decarbonization efforts.

🏛政策担当者:Tailored policies targeting key hub sectors can more effectively reduce tourism-related carbon emissions.

📄 Abstract(原文)

<title>Abstract</title> <p>Previous studies on inter-sectoral carbon emission flows associated with tourism have largely focused on accounting for emissions induced by tourism consumption and embodied in supply chains, while the structural relationships between tourism-related sectors and other sectors remain underexplored. To address this gap, this study proposes a novel framework integrating environmental input-output analysis (EIOA) with complex network theory to trace tourism-driven inter-sectoral carbon flows. The results show that the carbon emission flow network (CEFN) has gradually lost its small-world properties and evolved into a pronounced scale-free network, wherein the majority of linkages between tourism-related and other sectors are dominated by a few highly connected hubs. Consequently, targeted emission reduction in these key sectors is pivotal to curbing tourism-related carbon flows. Moreover, tourism-related sectors exhibit heterogeneous roles within the CEFN, falling into two distinct categories: “receivers” and “carriers.” Effective decarbonization policies for the tourism economy should therefore be tailored to the structural characteristics and evolutionary dynamics of the CEFN.</p>

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