二重炭素政策下における中国のCO2および大気汚染フットプリントの多次元不平等
Multidimensional Inequality of CO2 and Air Pollutant Footprints in China under Dual-Carbon Policy (原題)
Ruifei Li, Luo Yu, Xu Zhu, Yu Li, Qing Ma, Hailun Huang, Shuai Chen, Xiaoyu Huang, Hui Li
🤖 gxceed AI 要約
日本語
中国の二重炭素政策下で、2020〜2060年の個人CO2・大気汚染フットプリントの不平等を評価。上位10%の排出が突出し、不平等の90%以上は省内格差に起因。投資由来の排出と基礎消費由来の排出の構造差を解明し、公平な低炭素政策への示唆を提供。
English
This study quantifies inequality in individual CO2 and air pollutant footprints in China from 2020-2060 under the dual-carbon policy. It finds that over 90% of inequality is intraprovincial, with top emitters' footprints driven by investment and bottom emitters' by basic consumption, offering empirical support for equitable low-carbon policies.
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
中国の政策研究だが、日本のGX文脈では、排出不平等の分析手法や政策評価の枠組みが、日本の地域間・世帯間の排出格差を考える際の参考になる。また、カーボンプライシングや公平な移行政策の設計に示唆を与える。
In the global GX context
This paper contributes to global GX scholarship by linking carbon footprint inequality to policy design, relevant for just transition and climate equity discussions under the Paris Agreement and net-zero targets.
👥 読者別の含意
🔬研究者:Provides a novel framework for assessing multidimensional inequality in emissions footprints, useful for climate policy and environmental justice research.
🏢実務担当者:Offers insights into consumption- and investment-based emission drivers that could inform corporate Scope 3 accounting and supply chain strategies in China.
🏛政策担当者:Highlights the need for policies addressing intraprovincial inequality and the investment-consumption divide in emission reduction.
📄 Abstract（原文）
Abstract Economic inequality plays an important role in pollution control and sustainable development, yet the inequalities of CO2 and air pollutant emissions remain unknown under China’s dual-carbon policy. Here we construct a comprehensive framework to quantitatively evaluate inequalities and evolution in individual CO2 and air pollutant footprints in China for 2020–2060. Results show that the per capita footprint of the top 10% is the highest (CO2, 28.5 t; NOx, 50.6 kg), whereas that of the bottom 50% is the lowest (CO2, 1.2 t; NOx, 4.7 kg). Over 90% of inequality in individual footprints is attributed to intraprovincial (not interprovincial) gaps between low and high emitters, which would widen by 2060. The top 1% of footprints (e.g., 96% of SO2) are derived from investment, while the bottom 50% of footprints (88% of NH3) come from household consumption for basic needs. These findings offer empirical support for policies toward a more equitable, low-carbon, and sustainability-aligned future.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1021/acs.est.6c04314first seen 2026-09-03 05:16:55
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