Regulatory Fragmentation in Digital Services Trade and Carbon Intensity: Hard and Soft Barriers and the Role of Environmental Policy
デジタルサービス貿易における規制の断片化と炭素強度:ハードおよびソフト障壁と環境政策の役割 (AI 翻訳)
Xuan Liu, Min-Jae Lee, Tae-Hoo Kim
🤖 gxceed AI 要約
日本語
本研究は、デジタルサービス貿易の規制のばらつきが二国間貿易の炭素強度に与える影響を分析。OECDデジタルサービス貿易制限指標を用い、インフラ関連のハードな障壁と制度的なソフト障壁に分解。規制の差異は貿易量の減少を通じて総排出量を減らす一方、炭素強度を高めることを発見。輸入国の環境政策の厳格さが制度的規制ギャップと炭素強度の正の関連を強める。持続可能な貿易パフォーマンスの指標として炭素強度の有用性を示す。
English
This study examines how regulatory heterogeneity in digital services trade affects the carbon intensity of bilateral trade flows. Using OECD DSTRI data, it decomposes barriers into hard (infrastructure) and soft (institutional). Results show regulatory gaps increase carbon intensity but reduce total emissions via lower trade volumes. Environmental policy stringency in importing countries amplifies the positive link between institutional gaps and carbon intensity. The paper highlights carbon intensity as a more informative metric for sustainable trade.
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
本論文は、デジタル貿易規制と環境政策の相互作用が炭素強度に与える影響を明らかにし、日本の国際貿易・環境政策の統合的検討に示唆を与える。特に、カーボンボーダー調整措置やWTO電子商取引交渉における日本の立場形成に有用。
In the global GX context
This paper contributes to global GX discourse by linking digital trade governance to carbon intensity, relevant for WTO e-commerce negotiations, OECD digital policy initiatives, and the design of carbon border adjustment mechanisms. It emphasizes that carbon intensity, not just total emissions, matters for assessing trade sustainability.
👥 読者別の含意
🔬研究者:Scholars in trade and environmental economics will find the decomposition of hard vs. soft regulatory barriers and their differential impacts on carbon intensity a novel contribution.
🏛政策担当者:Policymakers working on digital trade agreements and carbon border adjustments should consider the potential of regulatory fragmentation to undermine carbon efficiency in trade.
📄 Abstract(原文)
This study examines how regulatory heterogeneity in digital services trade relates to the carbon intensity of bilateral trade flows. Using a structural gravity framework estimated with Poisson pseudo maximum likelihood (PPML), we analyzed 10,719 bilateral observations from the Eora Multi-Region Input–Output (MRIO) database over 2014–2020. Bilateral gaps in the OECD Digital Services Trade Restrictiveness Index (DSTRI) were used as the main measure of regulatory heterogeneity, and the overall gap was decomposed into infrastructure-related hard barriers and institutional soft barriers. The results suggest that digital regulatory gaps are associated with a higher carbon intensity in trade while also being associated with lower total embodied emissions through reduced trade volumes. This indicates that lower aggregate emissions under regulatory divergence may reflect contraction in trade activity rather than genuine environmental improvement. The decomposition analysis further suggests that infrastructure-related misalignment is more closely associated with carbon inefficiency, whereas institutional divergence operates mainly through its association with trade volume. In addition, environmental policy stringency in the importing country appears to strengthen the positive association between institutional regulatory gaps and carbon intensity, consistent with the possibility of regulatory overload. The study contributes to the sustainability literature by showing that carbon intensity provides a more informative indicator of sustainable trade performance than aggregate emissions alone in fragmented regulatory environments. It also suggests that digital governance, trade policy, and environmental policy should be considered together in promoting more sustainable forms of international trade, particularly in the context of emerging policy frameworks such as WTO digital trade negotiations, OECD digital governance initiatives, and carbon border adjustment mechanisms (CBAMs).
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18084031first seen 2026-05-15 18:23:16
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
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。