An LMDI-Based Analysis of Carbon Emission Changes in China’s Fishery and Aquatic Processing Sector: Implications for Sustainable Risk Assessment and Hazard Mitigation
LMDIに基づく中国の漁業・水産加工部門における炭素排出変化の分析：持続可能なリスク評価と災害軽減への示唆 (AI 翻訳)
Tong Li, Sikai Xie, N. Nandasena, Junming Chen, Cheng Chen
🤖 gxceed AI 要約
日本語
本研究は、中国の漁業・水産加工部門の2010〜2019年の炭素排出動向を、産業連関モデルとLMDI分解法を用いて分析。直接・間接排出を含む全排出量を算定し、排出削減の要因を経済発展と技術進歩に特定した。技術進歩が排出削減に重要な役割を果たすことが示され、産業構造の転換とグリーン技術の研究開発が低炭素化に不可欠と結論づけている。
English
This study analyzes carbon emission trends in China's fishery and aquatic processing sector from 2010 to 2019 using input-output models and LMDI decomposition. It calculates total direct and indirect emissions and identifies economic development and technological progress as key drivers. Technological progress is found to be pivotal in both driving and potentially mitigating emissions, concluding that industrial restructuring and green technology R&D are essential for low-carbon transition.
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
中国の漁業部門の事例であるが、日本でも水産加工のサプライチェーン排出算定やSSBJ対応に応用可能な方法論を提供。日本漁業の低炭素化政策やScope3算定の参考になる。
In the global GX context
While focused on China, this paper offers a methodology for full-emission accounting in fishery supply chains, relevant to global seafood industry decarbonization and ISSB-aligned disclosure for food companies.
👥 読者別の含意
🔬研究者:Provides a comprehensive emission accounting framework for fishery sectors using LMDI decomposition, useful for benchmarking similar studies.
🏢実務担当者:Highlights how technological progress and restructuring can reduce carbon intensity in aquatic processing, informing corporate sustainability strategies.
🏛政策担当者:Demonstrates that structural reform and green technology R&D are critical for low-carbon fishery transition, supporting policy design.
📄 Abstract（原文）
To align with disaster monitoring and sustainable risk assessment, the low-carbon transition of fisheries necessitates comprehensive carbon emission management throughout the supply chain. As China advances supply-side structural reform, transitioning from traditional to low-carbon fisheries is vital for the green development of the industry and its associated sectors. This study employs input–output models and LMDI decomposition to examine the trends and drivers of embodied carbon emissions within China’s fishery production system from 2010 to 2019. By constructing a cross-sectoral full-emission accounting system, the research calculates total direct and indirect emissions, exploring how accounting scopes influence regional responsibility and reduction strategies. Empirical results indicate that while China’s aquatic trade and processing have steadily developed, the sector remains dominated by low-value-added primary products. This structure highlights vast potential for deep processing development amidst shifting global dietary habits. Factor decomposition reveals that economic and technological development are the primary drivers of carbon emissions. Notably, technological progress within fisheries emerges as the most significant factor, playing a pivotal role in both driving and potentially mitigating emissions. Consequently, to effectively lower carbon intensity, the study concludes that restructuring the fishery industry is crucial. Promoting low-carbon development and enhancing the R&D of green technologies are essential strategies to navigate the dual challenges of industrial upgrading and environmental protection.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18020860first seen 2026-05-05 22:19:00
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