貿易ネットワーク埋め込みと世界鉄鋼セクターの炭素排出：社会ネットワークの視点
Trade Network Embedding and Carbon Emissions of the Global Iron and Steel Sector: A Social Network Perspective (原題)
Xiaoling Wang, Le Ma, Andrea Appolloni, Jianfeng Ma, Zichun Yan
🤖 gxceed AI 要約
日本語
本研究は社会ネットワーク理論を用い、2011〜2022年の51カ国を対象に鉄鋼貿易ネットワークを構築し、その埋め込み度が炭素排出に与える影響を二方向固定効果モデルで分析した。総貿易・製品輸出ネットワークへの埋め込みは排出削減に寄与し、技術・構造効果を通じて作用する。中低所得国ほど貿易統合による削減便益が大きい。貿易政策と気候ガバナンスの調整に政策的示唆を与える。
English
Using social network theory, this study builds iron and steel trade networks for 51 countries (2011–2022) and applies two-way fixed-effects models to test how network embeddedness affects carbon emissions. Greater embeddedness in total and product export networks reduces emissions via scale, technology, and structural effects, with middle- and low-income countries benefiting most. It reframes the trade–environment nexus around structural position rather than bilateral flows.
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
鉄鋼は日本の主要排出産業であり、GXリーグ・SSBJのScope3開示やサプライチェーン脱炭素の議論に直結する。貿易ネットワークの構造的ポジションが排出に影響するという知見は、日本の鉄鋼メーカーの調達・輸出戦略やカーボンニュートラル政策の検討に示唆を与える。
In the global GX context
Iron and steel is a hard-to-abate sector central to CBAM, transition finance, and Scope 3 disclosure debates. By showing that a country's structural position in trade networks shapes emissions, the paper adds empirical evidence to global discussions on trade-climate policy coordination and embodied carbon accounting.
👥 読者別の含意
🔬研究者:貿易ネットワークの構造的埋め込みとセクター排出を結びつける実証枠組みを提供する。
🏢実務担当者:鉄鋼サプライチェーンにおける調達・輸出ネットワークの位置づけが排出削減とどう関わるかの示唆。
🏛政策担当者:貿易政策と気候ガバナンスの調整、特に中低所得国への配慮の必要性を示す。
📄 Abstract（原文）
ABSTRACT Against the backdrop of the green transition of iron and steel (IS) sector, it is crucial to understand the structural characteristics of global trade networks, particularly how trade network embeddedness affects sectorial carbon emissions. This study first employs social network theory to construct the total, materials, and products trade networks of IS to analyze the dynamic evolution of overall and individual network characteristics. Second, drawing on the environmental triple‐effect theory, a two‐way fixed‐effects model is employed to examine how trade network embeddedness influences environment through scale, technology, and structure mechanisms. Finally, grounded in input‐output theory, we explore the relationship between network embeddedness and trade embodied carbon. Empirical findings from 51 member countries during 2011–2022 reveal that the IS trade networks exhibit pronounced diversification, distinct small‐world characteristics, and multipolar individual traits. This finding remains robust across a series of robustness tests. Second, increased embeddedness in both the total and products export networks facilitates carbon emission reductions. Third, total trade network embeddedness contributes to emission control through technical and structural effects, while embeddedness in the products trade network reduces emissions by scale, technical, and structural effects. Finally, further analysis finds no evidence that trade network embeddedness affects trade embodied carbon emissions, yet the heterogeneity analysis reveals that middle‐ and low‐income countries derive greater carbon reduction benefits from trade integration. This study shifts the focus from bilateral trade flows to the structural position of countries in complex trade system, expanding the analytical framework of the trade–environment nexus. It also provides valuable policy insights for coordinating trade policies with climate governance across nations.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/sd.71729first seen 2026-10-06 05:02:02
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