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中国東北地域の資源型都市における三次元炭素フットプリントの時空間進化と構成経路

Spatiotemporal evolution and configurational pathways of the three dimensional carbon footprint in resource based cities of northeast China (原題)

Dan Wang, Yuanzhi Song, Jinghan Liang, Heyu Guan, XiangLian Pan

Discover Applied Sciences📚 査読済 / ジャーナル2026-08-17#炭素会計Origin: CN対象セクター: cross_sector
DOI: 10.1007/s42452-026-09414-2
原典: https://doi.org/10.1007/s42452-026-09414-2

🤖 gxceed AI 要約

日本語

本研究は、中国東北地域の21の資源型都市を対象に、2013年から2022年までの三次元炭素フットプリントを測定し、技術・組織・環境(TOE)フレームワークとfsQCAを用いて炭素生態バランス改善の複数経路を特定した。結果、炭素フットプリントは減少し、生態収容力は増加、森林都市は吸収力が高く、石炭・石油・冶金都市は排出圧力が高いことを示した。単一条件では不十分で、5つの経路が特定された。

English

This study analyzes 21 resource-based cities in northeast China from 2013 to 2022, measuring three-dimensional carbon footprints and using TOE framework and fsQCA to identify pathways for improving carbon ecological balance. Results show declining carbon footprints, increasing ecological carrying capacity, and heterogeneous patterns; forest cities have higher absorption, while coal/oil/metallurgical cities face greater pressure. Five pathways to high carbon surplus were identified, emphasizing context-dependence.

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

中国の資源型都市の低炭素移行に関する実証研究であり、日本の地方都市や産業構造転換に示唆を与える。特に、カーボンフットプリントの多面的評価と経路依存性の分析は、日本の地域脱炭素政策や産業立地戦略に参考となる。

In the global GX context

This empirical study on Chinese resource-based cities offers insights for global transition finance and regional decarbonization strategies. Its multi-dimensional carbon footprint assessment and configurational pathways can inform similar analyses in other post-industrial regions, contributing to the literature on just transition and climate policy.

👥 読者別の含意

🔬研究者:Provides a novel framework combining carbon footprint measurement with fsQCA for pathway analysis, useful for comparative urban sustainability research.

🏢実務担当者:Offers differentiated strategies for resource-dependent cities to improve carbon balance, applicable to regional planning and corporate site selection.

🏛政策担当者:Highlights the need for context-specific policies rather than one-size-fits-all approaches in low-carbon transition.

📄 Abstract(原文)

Low-carbon transition is essential for resource-based cities seeking to reduce Resource dependence and alleviate ecological pressures. However, existing research rarely integrates multidimensional assessments of carbon ecological conditions with configurational explanations of transition pathways. To address this gap, this study examines 21 resource-based cities in northeast China from 2013 to 2022. It develops an analytical framework that combines three-dimensional carbon footprint measurement, the technology–organization–environment (TOE) framework, and configurational pathway identification. Based on carbon source and carbon sink data, the study calculates the carbon footprint, carbon ecological carrying capacity, carbon ecological surplus, and carbon footprint size and depth. The fsQCA is then employed to identify multiple pathways for improving the carbon ecological balance. The results show that the overall carbon footprint of resource-based cities in northeast China declined during the study period, while their carbon ecological carrying capacity increased. Consequently, the regional carbon ecological balance continued to improve. Carbon footprint size exhibited a general contraction, whereas carbon footprint depth remained highly heterogeneous across cities. Forest cities possessed stronger ecological absorption capacity. By contrast, coal, oil, and metallurgical cities faced greater emission pressures and more severe natural capital depletion. The configurational analysis indicates that no single condition is necessary for achieving a high level of carbon ecological surplus. Based on the TOE framework, five pathways to high carbon ecological surplus are identified and grouped into four types. The analysis also identifies two types of pathways leading to the absence of high carbon ecological surplus, highlighting the coexistence of multiple causal mechanisms. These findings help urban managers understand the diversity and context dependence of carbon ecological improvement pathways in resource-based cities. They also provide a basis for developing differentiated low-carbon transition strategies.

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