中国における炭素削減・汚染削減・グリーン拡大・経済成長の相乗効果の時空間動態と分化した経路
Spatiotemporal dynamics and differentiated pathways of carbon abatement, pollution reduction, green expansion, and economic growth synergy in China (原題)
Guo Feng-qi, Ruili Xie, Zhi-Yi WANG, Qimin Chai
🤖 gxceed AI 要約
日本語
中国31省の2010〜2023年データを用い、炭素削減・汚染削減・グリーン拡大・経済成長（CPGE）の協調度を複合システム協調度モデルと妥協型カップリング調整度モデルで評価。2015年以降に6つのシステム間相乗効果が中〜高水準へ移行し、総合協調度は2010年の0.004から2019年に0.964へ上昇。東部は技術革新主導、中部は産業高度化、西部・資源依存地域はエネルギー最適化と生態補償という地域別経路を提示する。
English
Using 2010–2023 provincial data from China, this study assesses the synergy among carbon abatement, pollution reduction, green expansion, and economic growth (CPGE) via composite-system synergy and compromise-based coupling coordination models. Cross-system synergies shifted from low/negative to medium-high after 2015, with the composite synergy degree rising from 0.004 (2010) to 0.964 (2019). It proposes differentiated pathways: innovation-driven coordination in the east, industrial upgrading in central regions, and energy optimization with ecological compensation in western/resource-dependent 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
中国の「双炭」目標下での地域別ガバナンス設計を示す研究であり、日本のSSBJ・GX推進・地域脱炭素政策を考える上で、環境と経済の協調度を定量化する枠組みは参考になる。ただし中国国内の政策評価が主眼で、日本企業の開示実務への直接の示唆は限定的。
In the global GX context
This paper contributes to the global literature on environmental-economic coordination by offering a multi-subsystem synergy framework applied to China's dual-carbon transition. While not directly tied to TCFD/ISSB disclosure, it provides methodological insights for assessing regional transition pathways that could inform policy design in other emerging economies.
👥 読者別の含意
🔬研究者:環境・経済の協調度を複合システムモデルで評価する手法は、地域別脱炭素経路の実証研究に応用可能。
🏢実務担当者:中国事業を持つ企業にとって、地域別の政策優先度や規制環境の変化を把握する参考になる。
🏛政策担当者:地域別の炭素削減・経済成長の協調経路設計に、複合システム協調度評価の枠組みが示唆を与える。
📄 Abstract（原文）
Achieving the coordinated advancement of carbon abatement, pollution reduction, green expansion, and economic growth (CPGE) is critical for China’s high-quality development under ‘dual-carbon’ targets. Using provincial data in China from 2010 to 2023, this study develops an integrated framework spanning individual subsystem evolution, cross-system dynamic synergy, and composite system synergy degree assessment, combining the composite system synergy degree model with a compromise-based coupling coordination degree model to characterize spatiotemporal patterns and identify differentiated improvement pathways. The findings reveal that pollution reduction and green expansion exhibit typical policy-driven attributes, whereas carbon abatement remains structurally constrained. All six cross-system dynamic synergies transitioned from low or even partially negative synergy to medium-high levels after 2015, with pollution reduction-green expansion and carbon abatement-green expansion most stable while carbon abatement-economic growth and pollution reduction-economic growth most volatile. The comprehensive synergy degree increased from 0.004 in 2010 to 0.964 in 2019, with provincial values rising from 0.25‒0.35 in 2010 to 0.55‒0.65 in 2015, exceeding 0.80 in most provinces after 2020, and stabilizing at 0.70‒0.85 by 2023, accompanied by a transformation from carbon abatement/pollution reduction dominance (pollution reduction contributed over 30% during 2010‒2015) to economic growth-driven, ecology-supported patterns. Accordingly, differentiated pathways are proposed: eastern regions prioritize innovation-driven coordination through green technology breakthroughs and cross-regional spillover mechanisms, central regions accelerate industrial upgrading and green transformation, while western and resource-dependent regions focus on energy optimization and ecological compensation. These findings provide scientific bases for region-specific governance and policy insights for coordinated environmental-economic development.
🔗 Provenance — このレコードを発見したソース
- primary_source https://doi.org/10.1016/j.accre.2026.09.017first seen 2026-10-11 23:53:47
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