Drivers of China’s Sectoral Carbon Emissions: A Nested IO-SDA and Network Decoupling Analysis
中国の部門別炭素排出の要因:ネスト型IO-SDAとネットワークデカップリング分析 (AI 翻訳)
Ruonan Fang, Jie Chen, Qiuping Yi, Yunhao Ren
🤖 gxceed AI 要約
日本語
2002~2023年の中国30部門の炭素排出変動を、生産者・消費者原理に基づくネスト型IO-SDAと炭素不平等調整ネットワークデカップリング指標で分析。炭素強度低下が主な削減要因だが経済成長に相殺され、上流部門の排出転嫁がデカップリング評価を歪めると示す。2015年の供給側改革後、部門間炭素不平等が縮小し、排出削減経路設計への示唆を提供。
English
This study analyzes structural drivers of carbon emission changes across 30 Chinese sectors (2002-2023) using a nested IO-SDA and a carbon inequality-adjusted network decoupling index. Findings show declining carbon intensity is the main reduction driver but offset by economic growth, and upstream sectors transfer emissions downstream, biasing decoupling assessments. Post-2015 supply-side reforms narrowed inter-sectoral carbon inequality, offering insights for differentiated reduction pathways and allowance allocation.
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
日本のGX政策(GXリーグ、カーボンプライシング、部門別削減目標)において、サプライチェーンを通じた排出転嫁の評価は重要。本分析のネットワークデカップリング手法は、日本の産業連関データにも応用可能で、SSBJ対応のScope 3算定や部門別排出削減計画の精度向上に示唆を与える。
In the global GX context
This paper contributes to global carbon accounting scholarship by addressing carbon transfer biases in conventional decoupling indicators. Its network-based approach is relevant for countries implementing carbon markets and supply-chain emission policies, offering a methodological framework to improve the accuracy of sectoral emission reduction assessments and inform carbon allowance allocation.
👥 読者別の含意
🔬研究者:Provides a novel methodological framework (nested IO-SDA + network decoupling) for analyzing sectoral carbon drivers and transfer biases.
🏢実務担当者:Highlights the importance of accounting for embodied carbon in supply chains, relevant for Scope 3 reporting and carbon management.
🏛政策担当者:Offers evidence for designing carbon allowance allocation and differentiated reduction pathways, emphasizing the need to correct for sectoral chain transfers.
📄 Abstract(原文)
This study examines the structural drivers of carbon emission changes across 30 Chinese sectors from 2002 to 2023, employing a nested input–output structural decomposition analysis model grounded in both producer and consumer principles. We further construct a carbon inequality-adjusted network decoupling index to eliminate the systematic carbon transfer bias inherent to the conventional Tapio decoupling indicator. The core empirical findings are as follows: declining carbon intensity has served as the primary driver of emission reductions over the past two decades; however, its effect has been persistently offset by economic expansion. Upstream sectors, such as electricity generation, transfer substantial emissions downstream through sectoral chains, leading to a systematic overestimation of their decoupling performance, whereas the emission reductions in downstream manufacturing sectors are underestimated owing to embodied carbon imports. Inter-industry carbon inequality underwent a structural transformation following the launch of supply-side structural reforms in 2015, which substantially narrowed the arbitrage space for cross-sector carbon shifting. Cluster analysis further reveals that most industries continue to face considerable emission growth pressure. This study offers novel analytical perspectives and empirical evidence for designing carbon allowance allocation and differentiated emission reduction pathways that reconcile economic growth with environmental sustainability. This study offers a new analytical perspective and empirical evidence. It focuses on differentiated emission pathways and allowance allocations. The goal is to balance growth and sustainability. The findings also highlight a key point. Carbon markets must correct for sectoral chain carbon transfers. This study focuses on carbon emissions from 30 broadly defined sectors covering agriculture, mining, manufacturing, energy production and supply, construction, transportation, and commercial services. The accounting scope does not include direct fuel combustion emissions from residential consumption.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/su18168100first seen 2026-08-15 05:16:38 · last seen 2026-08-16 05:27:06
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