Global GHG Emission Dynamics, Regional Convergence, and Cross-Border Emission Spillovers: Evidence from a Hierarchical Dynamic Factor Model
全球GHG排出の動態、地域収束、および国境を越えた排出波及効果：階層的動的因子モデルからの証拠 (AI 翻訳)
Fernández AdJ
🤖 gxceed AI 要約
日本語
本研究は、225か国の月次GHG排出データ（1970-2024）を階層的動的因子モデルで分析。世界共通因子が排出変動の41-68%を説明し、気候政策の節目で明確な変化は見られない。また、欧州から北米・ラテンアメリカへの正の排出波及効果（炭素リーケージ示唆）を発見するが、因果関係は確立されていない。
English
Using a hierarchical Dynamic Factor Model on monthly EDGAR data for 225 countries and four gases (1970-2024), we find a single global factor explains 41-68% of cross-country variance with no inflection at major climate policy milestones. Cross-border spillovers from Europe to North America (+18%) and Latin America (+15%) are consistent with carbon leakage, but causal identification is weak. Supplementary analyses show 54-60% total spillover index and no detectable US effect from Paris withdrawal.
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
日本にとっては、炭素リーケージの実証的証拠は、カーボンプライシングや国境調整措置（CBAM）の設計に重要。また、世界排出動向と気候政策の実効性に関する示唆は、日本の長期脱炭素戦略や国際交渉ポジションに影響する。
In the global GX context
This paper provides robust evidence that global GHG emissions are driven by structural forces beyond policy, and documents carbon-leakage-consistent spillovers. For global audiences, it challenges the effectiveness of NDCs and highlights the need for international policy coordination. The weak causal evidence on leakage underscores the difficulty of empirical evaluation.
👥 読者別の含意
🔬研究者:The paper offers a novel DFM approach to global emissions and provides careful empirical evidence on carbon leakage and policy effectiveness, useful for future research on climate policy evaluation.
🏢実務担当者:Corporate sustainability teams should note the evidence of carbon leakage, which may affect supply chain emissions accounting and mitigation strategy robustness.
🏛政策担当者:Policymakers should consider the paper's finding that global emissions have not responded to climate policy milestones, and that cross-border spillovers may undermine national efforts.
📄 Abstract（原文）
<title>Abstract</title> <p>We analyse global greenhouse gas emission dynamics using a hierarchical Dynamic Factor Model estimated on monthly EDGAR data for 225 countries and four gases (CO2 fossil, CO2 biogenic, CH4, N2O) over 1970–2024. Our two main contributions are the following. First, a single global factor explains 41–68% of cross-country variance and shows no discernible inflection at any major climate policy milestone, suggesting the aggregate trajectory is shaped primarily by structural forces beyond the reach of nationally determined contributions; Phillips–Sul club tests applied to the DFM-purged continental factors reveal a persistent two-club structure in which Europe, Asia, MENA, and Oceania diverge from Former USSR, Latin America, and Sub-Saharan Africa, with North America unassignable to either club. Second, reduced-form Local Projections find positive cross-border emission spillovers from Europe to North America (+18%) and Latin America (+15%), magnitudes consistent with carbon leakage through energy market and consumption channels; a Bartik-IV strategy using EU ETS prices is underpowered (FKP = 7.86) and all Anderson–Rubin confidence sets contain zero, so causal attribution to leakage is not established. Two supplementary analyses corroborate the spillover pattern: Diebold–Yilmaz connectedness yields a Total Spillover Index of 54–60%; and synthetic control estimates find no detectable US emission effect from the Paris withdrawal (p = 0.75) but a marginally significant Bolsonaro deforestation effect on Brazilian biogenic CO2 (+30%, p = 0.06). JEL codes: C38, Q54, Q58, F18</p>
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.21203/rs.3.rs-10360907/v1first seen 2026-07-16 04:42:56
🔔 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。