Decoding global carbon pathways: modeling emission patterns, turning points, and drivers in major countries
世界の炭素経路の解読：主要国における排出パターン、転換点、および要因のモデリング (AI 翻訳)
Chaoqing Huang, Qian Wu, W. Xue, Yanwen Wang, Lina Zhang, Zhiyan Liu, Chao He
🤖 gxceed AI 要約
日本語
本研究は、1990～2021年の主要58カ国の炭素排出データを用いて、排出経路を6つの基本類型と18のサブタイプに分類する「炭素排出軌跡曲線（CETC）」モデルを提案。先進国の転換点は2000～2005年に集中し、途上国は2015～2020年に発生したことを発見。排出要因分析では、高排出国では産業付加価値・人口・炭素強度が、低排出国ではGDP per capita・再生可能エネルギー比率が支配的であることを示した。
English
This study proposes a Carbon Emission Trajectory Curve (CETC) model using 1990-2021 data from 58 major countries, classifying emission pathways into 6 archetypes and 18 subtypes. It finds turning points concentrated in 2000-2005 for developed and 2015-2020 for developing countries. Driver analysis reveals industrial value-added, population, and carbon intensity dominate in high-emission countries, while GDP per capita and renewable energy share dominate in low-emission countries.
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
日本は先進国として2000年代前半に転換点を迎えたと推測されるが、本モデルを用いて日本の排出経路を類型化することで、現在の脱炭素政策の位置づけを国際比較の中で明確化できる。SSBJ開示やカーボンプライシング設計にも示唆を与える。
In the global GX context
This paper offers a systematic classification of national emission pathways, supporting ISSB-aligned transition plan disclosures and transition finance by providing a benchmark for identifying turning points and dominant drivers. It enables policymakers to tailor mitigation strategies based on a country's pathway archetype.
👥 読者別の含意
🔬研究者:The CETC model provides a novel methodological framework for quantifying emission trajectories and identifying critical turning points, applicable to cross-country comparative studies.
🏢実務担当者:Corporate sustainability teams can use the country-level archetypes to contextualize their emission reduction targets and assess regulatory transition risks.
🏛政策担当者:The turning points and driver analysis offer evidence for designing differentiated climate policies aligned with national development stages.
📄 Abstract（原文）
Current research on carbon emissions predominantly focuses on driving factors, monitoring and evaluation, policy and technological pathways, and the interaction mechanisms with climate change. However, there remains a significant gap in the systematic investigation of the dynamic evolution and transitional features of carbon emission pathways in major global economies. An in-depth exploration of this area is critical for advancing global emission reductions, achieving the 2050 net-zero target, and ensuring the 1.5 °C climate goal. This study, utilizing long-term data on carbon emissions, energy consumption, and socioeconomic factors from 1990 to 2021 for major countries, introduces a ‘Carbon Emission Trajectory Curve (CETC)’ model. Through third-order polynomial modeling and derivative analysis, we quantify the temporal characteristics and identify the key turning points of each nation’s emission pathway. Our findings reveal that the carbon emission pathways of 58 major countries can be classified into six principal archetypes (S-shaped, U-shaped, Inverted-U-shaped, Anti-S-shaped, Rising, and Declining) and 18 subtypes. The turning points for developed nations were concentrated between 2000 and 2005, correlating with energy mix optimization and industrial upgrading. In contrast, those for developing countries occurred between 2015 and 2020, propelled by the proliferation of renewable energy and the impetus of international climate policies. The driver analysis indicates that emissions in high-emission countries are primarily driven by the share of industrial value-added, population size, and carbon intensity, whereas those in low-emission countries are predominantly influenced by GDP per capita, renewable energy share, and industrial value-added. This research establishes a novel methodological framework for quantifying emission trajectories and critical junctures, unveils the dynamic patterns and regional disparities of global carbon pathways, provides a scientific basis for carbon market development and green finance design, and offers vital support for formulating differentiated mitigation policies to achieve a global low-carbon transition.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1088/2753-3751/ae402efirst seen 2026-05-15 17:55:27
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