Reallocating carbon responsibility: Does industrial restructuring increase the burden on less developed regions and deepen regional carbon inequality in China?
炭素責任の再配分：産業構造転換は発展途上地域の負担を増大させ、中国の地域間炭素不平等を深めるのか？ (AI 翻訳)
Hailiang Huang, Qinghua Pang, Chenjun Zhang
🤖 gxceed AI 要約
日本語
中国の産業構造転換（2012-2017）による432 Mtの純排出削減は地域間で不均等に分布し、新疆や寧夏など一部の発展途上地域で炭素負担が増加した一方、東部先進地域は有利な炭素バリューポジションを得た。全体としては国家ギニ係数が低下し不平等は緩和されたが、地域間の公平性と脱炭素の間に緊張関係が生じている。
English
China's industrial restructuring (2012-2017) reduced net emissions by 432 Mt, but gains were uneven. Less developed regions like Xinjiang and Ningxia saw increased carbon exposure while eastern provinces improved their carbon-value positions. Overall inequality (Gini coefficient) decreased, but tension emerges between decarbonization and regional equity.
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
日本も2050年カーボンニュートラルに向けた産業構造転換が進む中、地域間の公平性を考慮した政策設計が重要となる。中国の事例は、日本における地域間格差やSSBJ開示におけるサプライチェーン上の炭素責任配分に示唆を与える。
In the global GX context
As global economies pursue industrial restructuring for net-zero, China's case highlights the risk that decarbonization may widen regional inequalities. This paper’s framework for measuring carbon inequality (CCI, BCI) is relevant for ISSB and TCFD disclosures that require supply chain carbon footprint analysis, especially when assessing fairness across regions.
👥 読者別の含意
🔬研究者:Offers a novel signed triadic network analysis and inequality metrics (Gini, CCI, BCI) to evaluate regional carbon responsibility reallocation during industrial restructuring.
🏢実務担当者:Supply chain managers can use the CCI/BCI framework to assess carbon inequality across their value chain.
🏛政策担当者:Highlights the trade-off between national emission reductions and regional equity; crucial for designing just transition policies.
📄 Abstract（原文）
Abstract China’s industrial restructuring (2012–2017) yielded a net carbon emissions reduction of 432 Mt (4.6% of 2017 emissions), but these gains were distributed unevenly across regions. Emission cuts were concentrated in certain traditional resource-dependent and coastal provinces, while a few regions saw structural emission increases, reflecting heterogeneous regional outcomes. Signed triadic network analysis identifies an east–west asymmetry in the redistribution of carbon-responsibility changes, with a non-trivial share of triads classified as high-tension under the proposed Structural Tension Index. Inequality metrics further reveal this mixed distributional pattern. Relative to counterfactual scenarios, the national carbon Gini coefficient declined under restructuring, indicating a moderation of overall carbon inequality. Analyses of the Supply Chain Carbon Inequality Index (CCI) and the Bilateral Carbon Inequality Index (BCI) further indicated that some dimensions of inequality were moderated under the observed later-period structures. However, several less-developed provinces, including Xinjiang and Ningxia, were associated with rising structural carbon exposure and a less favorable carbon–value position under the observed structure, while some advanced eastern provinces were associated with more favorable carbon–value positions. Overall, under the counterfactual comparison, the observed structure was associated with lower aggregate emissions and a lower national Gini coefficient, while coinciding with rising structural carbon exposure in some less-developed regions, pointing to a tension between decarbonization and regional equity.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1057/s41599-026-07945-yfirst seen 2026-07-13 06:12:15
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