The Carbon Geography of Emerging Economies: Structural Lock-in of Subnational Spatial Inequality in CO₂ Emissions
新興経済圏の炭素地理学：CO₂排出における国内空間的不平等の構造的固定化 (AI 翻訳)
yang, zhiyuan
🤖 gxceed AI 要約
日本語
本研究は、2010〜2018年の30の新興国における国内地域別CO₂排出データを用いて、経済発展に伴う空間的炭素不平等の縮小傾向を検証した。Theil指数、UMAP、K-meansクラスタリング、マルコフ遷移行列の結果、不平等は縮小せず、排出構造の分類は極めて安定的であることが示された。17カ国中19カ国でTheil指数に有意な変化はなく、一律の脱炭素戦略では不十分との政策的含意を持つ。
English
This study examines subnational CO₂ emission data for 30 emerging economies (2010-2018) to test whether spatial carbon inequality narrows with development. Using Theil index, UMAP, K-means clustering, and Markov transition analysis, it finds that inequality persists and emission-structure types are highly stable (only 0.86% transitions). Policy implication: uniform decarbonization strategies are inadequate; differentiated approaches are needed.
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
日本企業が進出する新興国での脱炭素戦略において、一律のアプローチでは不十分であり、各国・地域の排出構造に応じた対策が必要であることを示唆する。日本政府の国際協力やJCM等の政策にも示唆を与える。
In the global GX context
This paper contributes to the global discourse on just transitions and differentiated decarbonization, highlighting structural lock-in of emission patterns in emerging economies. It challenges uniform climate policies and supports region-specific strategies, relevant for international climate negotiations and funding mechanisms.
👥 読者別の含意
🔬研究者:Researchers can leverage the methodological framework (Theil index, UMAP, Markov) for spatial inequality analysis and the empirical finding of structural persistence in emission profiles.
🏢実務担当者:Practitioners in multinational corporations can use this insight to tailor decarbonization strategies across different emerging market regions, recognizing that uniform approaches may fail.
🏛政策担当者:Policymakers should avoid one-size-fits-all climate policies for emerging economies; instead, design differentiated strategies based on subnational emission structures.
📄 Abstract（原文）
Drawing on subnational CO₂ emission data for 30 emerging economies over the period from 2010 to 2018, this study examines whether within-country spatial carbon inequality narrows as economies develop. Regional emission gaps are quantified using the Theil index; national emission structures are classified into distinct types through UMAP and K-means clustering; and temporal stability is assessed via a first-order Markov transition matrix. The results reveal that inequality does not recede. Among the 19 countries with multi-region data in the clustering sample, none registers a Theil index decline of more than 5 % over the study window. Russia records a 5.3 % increase; this is the only clear movement in the sample, and it represents divergence rather than convergence. Cluster membership proves even more persistent: of the 232 country-year transitions, only two (0.86 %) shift type, yielding an average stay probability of 0.986. Two stable emission-structure types emerge: oil-and-transport and mixed, with Kenya occupying a distinct structural outlier position. Theil indices remained nearly unchanged in 17 of the 19 countries over the study period. The policy implication is clear: a uniform decarbonisation strategy cannot adequately address the structurally differentiated emission profiles of emerging economies.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20799175first seen 2026-06-23 04:13:48 · last seen 2026-07-02 04:16:48
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