炭素排出パフォーマンスとエネルギー効率の相乗効果と都市低炭素レジリエンスの非線形関係：技術革新投入からの実証
Nonlinear Relationship Between Carbon Emission Performance–Energy Efficiency Synergy and Urban Low-Carbon Resilience: Evidence from Technological Innovation Input (原題)
Yuxin Zhang, Jianfu Chen, Hiroatsu Fukuda
🤖 gxceed AI 要約
日本語
中国289都市の2010〜2023年パネルデータを用い、炭素排出パフォーマンス（CEP）とエネルギー効率（EE）の相乗効果が都市低炭素レジリエンス（LCR）に与える影響を空間・動学・非線形の観点から分析。空間ダービンモデルとSYS-GMMにより正の関連と空間的波及効果を確認し、技術革新投入に単一の閾値が存在することを示した。CEP–EE相乗効果はLCRの重要な規定要因だが、その効果は技術革新投入の水準に依存して段階的に変化する。
English
Using panel data for 289 Chinese cities (2010–2023), this study examines how carbon emission performance–energy efficiency (CEP–EE) synergy relates to urban low-carbon resilience (LCR) through spatial, dynamic, and nonlinear models. Spatial Durbin and SYS-GMM results show a robust positive association and positive spatial spillovers, with a single threshold in technological innovation input. The CEP–EE synergy–LCR link is significant but stage-dependent across innovation regimes.
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
日本ではSSBJ・有報での気候開示が進む一方、都市・地域レベルの低炭素レジリエンス評価は自治体の脱炭素計画やGX地域投資の根拠として重要。本論文のCEP–EE相乗効果と技術革新閾値の知見は、地域別の政策設計や企業の立地・投資判断に示唆を与える。
In the global GX context
While global disclosure frameworks (TCFD/ISSB/CSRD) focus on firm-level reporting, this paper adds a city-level, spatially explicit perspective on how carbon and energy performance interact to build low-carbon resilience. It offers empirical grounding for regionally differentiated transition policy and for linking corporate decarbonization to local resilience outcomes.
👥 読者別の含意
🔬研究者:都市・地域スケールでの炭素・エネルギー相乗効果とレジリエンスの非線形・空間的関係を定量化する手法として参考になる。
🏢実務担当者:地域の技術革新水準に応じて脱炭素投資の効果が変わる点を踏まえ、立地・サプライチェーン戦略の検討に活用できる。
🏛政策担当者:技術革新投入の閾値を意識した地域別・段階的な低炭素政策と広域連携の設計に示唆を与える。
📄 Abstract（原文）
Against the backdrop of sustainable transition, the coordinated improvement of carbon emission performance (CEP) and energy efficiency (EE), as well as its relationship with urban low-carbon resilience (LCR), warrants further investigation. Using panel data for 289 prefecture-level and above cities in China from 2010 to 2023, this study measures CEP–EE synergy and LCR and employs spatial autocorrelation analysis, the spatial Durbin model (SDM), the system generalized method of moments (SYS-GMM), and a panel threshold model to examine their spatial, dynamic, and nonlinear relationships. The results show that: (1) Both LCR and CEP–EE synergy exhibit an overall upward trend, although their spatial evolution is not synchronized, and both display significant positive spatial autocorrelation. (2) The SDM results reveal a significant positive relationship between CEP–EE synergy and local LCR, together with a significant positive spatial indirect effect. (3) The SYS-GMM results show that CEP–EE synergy remains significantly and positively associated with LCR after accounting for the dynamic persistence of LCR and potential endogeneity, and this finding is supported by robustness checks. (4) The threshold test supports the existence of a single threshold in technological innovation input (TII). CEP–EE synergy is significantly and positively associated with LCR across different TII regimes, while exhibiting some stage-dependent variation. These findings indicate that the coordinated improvement of CEP and EE and its spatial linkages constitute an important dimension for understanding urban LCR, while their relationship also varies across TII conditions. The study provides empirical evidence for differentiated and regionally coordinated approaches to high-quality urban transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18199693first seen 2026-09-24 04:41:32
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。