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Robotics, EU climate policy and global value chain reconfiguration: Uneven trade and emissions impacts on developing countries

ロボティクス、EU気候政策とグローバルバリューチェーンの再構成:途上国への不均等な貿易・排出影響 (AI 翻訳)

Shahab Sharfaei, Tereza Němečková, Jakkrit Thavorn

Equilibrium. Quarterly Journal of Economics and Economic Policy📚 査読済 / ジャーナル2026-06-30#政策Origin: EU経営インパクト: 調達リスク対象セクター: manufacturing
DOI: 10.24136/eq.4294
原典: https://economic-policy.pl/index.php/eq/article/download/4294/2698
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🤖 gxceed AI 要約

日本語

本論文は、EUの厳格な気候政策が国内のロボット導入を促進し、東アジア・太平洋地域からの製造業輸出を減少させる一方、CO2排出削減にはつながらないことを実証。気候規制と自動化によるバリューチェーン再編の関連を初めて体系的に検証した。

English

This paper empirically shows that stricter EU climate policies accelerate domestic robot adoption, which reduces manufacturing exports from East Asia and the Pacific, but does not lead to CO2 emission reductions. It provides the first systematic framework linking climate regulation to automation-driven global value chain reconfiguration.

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

日本企業にとって、EUの気候政策がサプライチェーン再編や自動化圧力につながる可能性を示唆。ただし、日本は直接の対象ではないため、間接的な影響に留意が必要。

In the global GX context

For global GX readers, this paper challenges the assumption that climate policies automatically shorten carbon-intensive supply chains and reduce emissions, highlighting the need for complementary measures. It advances understanding of policy-induced automation and trade effects.

👥 読者別の含意

🔬研究者:Offers a novel empirical framework linking climate policy to automation and trade, with implications for policy evaluation methods.

🏢実務担当者:Highlights potential supply chain disruptions from EU climate policies, relevant for procurement and logistics planning.

🏛政策担当者:Caution that climate policies may not yield promised emission reductions if automation and trade effects are not accounted for.

📄 Abstract(原文)

Research background: The deepening integration of global value chains (GVCs) has provided developing economies with critical pathways to industrialisation and export-led growth. However, this model is under increasing pressure as climate policy emerges as a powerful form of economic governance. The European Union (EU) has positioned itself as a global leader in climate regulation, deploying instruments such as carbon pricing and emissions trading. A prevailing assumption holds that such measures advance decarbonisation by shortening carbon-intensive supply chains, yet this assumption has not been systematically tested alongside automation-driven production reconfiguration. Purpose of the article: This study examines three interrelated mechanisms: whether stricter EU climate policies increase domestic robot adoption; whether higher robot adoption is associated with reduced reliance on offshore production, proxied by declining manufacturing exports from developing economies in East Asia and the Pacific; and whether such production restructuring translates into measurable reductions in CO₂ emissions. Methods: The analysis employs panel data covering EU member states and developing economies in East Asia and the Pacific over the period 2005–2021. An event-study approach centred on the 2009 EU Climate and Energy Package is used to identify the effect of climate policy on robot adoption. Panel least squares regressions with country and time fixed effects are subsequently estimated to examine the links between robot adoption, trade flows and CO₂ emissions. Findings & value added: Stricter EU climate policies are associated with accelerated robot adoption, which in turn is linked to declining manufacturing exports from East Asia and the Pacific. Contrary to theoretical expectations, these shifts are not associated with reductions in CO₂ emissions. The paper contributes a novel empirical framework linking climate regulation to automation-led GVC reconfiguration and provides the first evidence that climate policy may be associated with export-flow adjustments that do not automatically translate into lower emissions.

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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。