中国における電力炭素排出係数の時空間的異質性と国際的位置づけ
Spatiotemporal heterogeneity and international positioning of carbon emission factors of electricity in China (原題)
Xufeng Zhang, Qiaozhen Fan, Peng Xi, Jialin Li, Yuanying Chi, Xiaoyu Wang
🤖 gxceed AI 要約
日本語
中国の電力炭素排出係数（ECEF）について、国家・省レベル公式データを用い、時空間特性・空間自己相関・政策段階比較・国際ベンチマークを統合した分析枠組みを構築した。2015〜2023年に全国平均ECEFは13.03%低下した一方、省間格差は拡大し「北高南低」の空間パターンが維持された。空間的自己相関は弱まり、High-Low型の異質性が強まった。2024年の中国ECEFはEU平均を上回り、途上国サンプル中央値はやや下回る。
English
This study builds an integrated framework combining spatiotemporal analysis, spatial autocorrelation, policy-stage comparison, and international benchmarking to assess China's electricity carbon emission factors (ECEF) using official national and provincial data. China's national average ECEF fell 13.03% from 2015 to 2023, while interprovincial disparities widened and the 'high north, low south' pattern persisted. Spatial autocorrelation weakened and High-Low heterogeneity strengthened. China's 2024 ECEF exceeded EU and Umbrella-sample means but was slightly below the developing-country median, indicating transition pressure and reduction potential.
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
中国の地域別電力排出係数の実証分析は、日本企業が中国サプライチェーン（Scope 3）の排出量を算定・検証する際の基礎データとして有用。SSBJ/Scope 3開示の精緻化に資する。
In the global GX context
Provides granular, province-level electricity emission factors that support Scope 2/3 accounting for multinationals operating in China and inform global benchmarking under GHG Protocol and ISSB disclosure. The international positioning analysis adds a comparative lens to electricity decarbonization tracking.
👥 読者別の含意
🔬研究者:省別電力排出係数の時空間ダイナミクスと空間相関の変化を定量化する手法枠組みを提供する。
🏢実務担当者:中国拠点・調達先のScope 2/3算定に省別排出係数を用いる際の地域差・経年変化の理解に役立つ。
🏛政策担当者:地域別の差別化された低炭素移行政策と、電力部門脱炭素の進捗モニタリング指標設計に示唆を与える。
📄 Abstract（原文）
In the context of China’s dual carbon goals, the electricity sector is both the primary source of carbon emissions and a key driver of socioeconomic development. A systematic assessment of the evolution of electricity carbon emission factors is critical for tracking electricity system decarbonization and formulating effective emission-reduction policies. This study develops an integrated analytical framework for examining the spatiotemporal heterogeneity and international positioning of electricity carbon emission factors of China. Based on official national- and provincial-level data, the framework combines the statistical analysis modules including spatiotemporal characteristics analysis, spatial autocorrelation analysis, policy-stage comparison, and international benchmarking to characterize the ECEF patterns. Results show that China’s electricity sector has achieved substantial low-carbon transition progress. Based on the available benchmark-year observations, China’s national average ECEF decreased by 13.03% between 2015 and 2023, while interprovincial disparities widened and maintained a “high in the north, low in the south” spatial pattern. The spatial correlation structure has continuously evolved, with weakened global positive spatial autocorrelation, contracted High-High and Low-Low clusters, and strengthened High-Low heterogeneity, indicating diminished geographic proximity effects and more complex spatial differentiation. International comparisons showed that China’s 2024 ECEF was above the mean values of the EU and Umbrella samples and slightly below the median of the developing-country samples, suggesting considerable transition pressure and emission-reduction potential. These findings offer decision support for differentiated regional low-carbon transitions of the electricity sector.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fenvs.2026.1938226first seen 2026-11-06 05:04:19
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