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Spatio-temporal Patterns and Driving Mechanisms of Coupling Coordination Between Urban Resilience and Low-Carbon Development in the Yellow River Basin

黄河流域における都市レジリエンスと低炭素発展の結合協調の時空間パターンと駆動メカニズム (AI 翻訳)

Ying An, Jing Bai, Xi Vincent Wang

International Journal of Global Economics and Management📚 査読済 / ジャーナル2026-04-30#エネルギー転換Origin: CN
DOI: 10.62051/ijgem.v10n4.14
原典: https://doi.org/10.62051/ijgem.v10n4.14

🤖 gxceed AI 要約

日本語

黄河流域を対象に、都市レジリエンスと低炭素発展の結合協調度を2006~2021年について評価。エントロピーTOPSIS法、結合協調度モデル、地理検出器、空間ダービンモデルを用いて時空間パターンと駆動要因を分析。結合協調度は0.29から0.45に上昇したが、地域格差が拡大。GDPや財政支出が主要な駆動要因で、低炭素都市パイロット政策の効果はU字型を示した。空間的波及効果が顕著であり、系統的な協調ガバナンスが重要。

English

This study evaluates the coupling coordination between urban resilience and low-carbon development in the Yellow River Basin from 2006 to 2021. Using entropy-weighted TOPSIS, coupling coordination model, geographic detector, and spatial Durbin model, it finds that coordination increased from 0.29 to 0.45 but regional disparities widened. Key drivers are GDP and fiscal expenditure, with significant spatial spillovers. The Low-Carbon City pilot policy exhibits a U-shaped effect. Systematic synergistic governance is crucial for enhancing coordination.

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

本論文は中国の黄河流域に焦点を当てているが、結合協調分析や空間的波及効果の手法は日本の地域GX計画にも応用可能。例えば、東京湾や関西圏におけるレジリエンスと低炭素化の統合的評価に示唆を与える。

In the global GX context

This paper offers a robust empirical analysis of the synergy between urban resilience and low-carbon development, using spatial econometric methods to assess policy impacts and spillovers. It is globally relevant for regions implementing integrated climate resilience and low-carbon strategies, such as the EU Adaption Mission or China's regional plans.

👥 読者別の含意

🔬研究者:Provides a comprehensive framework for quantifying coupling between resilience and low-carbon development, with spatial analysis methods applicable to other regions.

🏢実務担当者:Urban planners can adopt the coupling coordination model to evaluate and improve the synergy of resilience and low-carbon policies in their own regions.

🏛政策担当者:Highlights the importance of cross-regional coordination to enhance urban resilience and low-carbon transition, especially regarding spatial spillovers from pilot policies.

📄 Abstract(原文)

Against the dual backdrop of intensifying global climate change and the deepening of Sustainable Development Goals, the synergistic advancement of low-carbon transition and resilience building has emerged as a critical pathway for the international community to address complex environmental risks. This study constructs a comprehensive evaluation indicator system for urban resilience and low-carbon development in the Yellow River Basin. By employing the entropy-weighted TOPSIS model and the coupling coordination degree model, it quantifies the synergy level between urban resilience and low-carbon development in the Yellow River Basin from 2006 to 2021 and reveals its spatio-temporal evolution characteristics. Furthermore, Geographic Detector is utilized to identify key driving factors, and finally, the Spatial Durbin Model is applied to explore their spatial effects. The results indicate that from 2006 to 2021, the overall urban resilience level in the Yellow River Basin exhibited a fluctuating upward trend, displaying a spatial gradient pattern where the lower reaches surpass the middle reaches, which in turn exceed the upper reaches. Low-carbon development demonstrated phased acceleration, although the energy transition lagged, with a spatial pattern characterized as "high in the east and low in the central and western regions." The coupling coordination degree between the two increased from 0.29 to 0.45, with regional disparities widening; the lower reaches experienced the fastest improvement and formed high-value agglomeration areas, the middle reaches showed accelerated catch-up growth, while progress in the upper reaches remained sluggish. The effect of the "Low-Carbon City" pilot policy initially declined and subsequently increased, exhibiting siphonic spillovers. Gross Domestic Product and fiscal expenditure emerged as the most dominant driving factors, with the synergy between economy and resources constituting a key impetus. The spatial spillover effects of various factors differ significantly across the upper, middle, and lower reaches as well as among agglomeration types, and the interaction effects of paired factors are substantially stronger than those of single factors. Therefore, systematic synergistic governance represents a crucial pathway for enhancing the level of coupling coordination between urban resilience and low-carbon development in the Yellow River Basin.

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