気候課題へのスペインの対応における温室効果ガス排出：運輸・再生可能エネルギー・GDP・金融発展の対称的・非対称的ドライバーの分析
Greenhouse gas emissions in Spain’s response to the climate challenge: an analysis of symmetric and asymmetric drivers in transportation, renewable energy, GDP and financial development (原題)
Salih Kalaycı, Recep Alper Celik, Hüseyin Çetin
🤖 gxceed AI 要約
日本語
スペインの1990〜2022年データを用い、GHG排出と経済成長、運輸部門（海運・航空・鉄道）、再生可能エネルギー、金融発展の長期関係をNARDL・VECM・FMOLS・DOLS・CCRで分析。海運は排出を一貫して増加させ、再エネと金融発展の成熟は排出削減に有効。炭素中立目標に向け、海運の脱炭素化、再エネ移行の加速、グリーン投資への金融誘導を政策提言する。
English
Using 1990–2022 Spanish data, this study examines long-run links between GHG emissions and growth, transport modes (maritime, air, rail), renewables, and financial development via NARDL, VECM, FMOLS, DOLS, and CCR. Maritime transport consistently raises emissions, while renewables and maturing financial development significantly mitigate them. It recommends decarbonizing maritime transport, accelerating renewables, and steering finance toward green investment to meet Spain's carbon-neutrality targets.
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
日本でも海運・物流の脱炭素とトランジション・ファイナンスが重要課題であり、部門別の排出ドライバー分析はSSBJ・有報のScope 3開示や政策立案の参考になる。
In the global GX context
Adds sector-disaggregated empirical evidence on transport decarbonization and green finance, relevant to global transition-finance debates and ISSB/CSRD-aligned sectoral disclosure.
👥 読者別の含意
🔬研究者:運輸部門を海運・航空・鉄道に分解した長期計量分析の手法と結果を参考にできる。
🏢実務担当者:海運・物流企業の脱炭素戦略やグリーンファイナンス調達の優先順位づけに示唆。
🏛政策担当者:海運脱炭素と再エネ・金融政策の組合せが排出削減に有効である根拠を提供。
📄 Abstract（原文）
Introduction The transport sector generates approximately 23.2% of Spain’s greenhouse gas (GHG) emissions, yet maritime, air and rail transport are usually assessed as a single aggregate. This study examines the long-run relationship between GHG emissions and economic growth, the transport sectors (maritime, air, rail), renewable energy and financial development in Spain over the period 1990–2022. Methods Annual data are used, and ADF, PP and KPSS tests confirm that all series are integrated of order one. The analysis begins with the Nonlinear Autoregressive Distributed Lag (NARDL) model. Because the short-run asymmetric effects prove statistically weak, the long-run coefficients are corroborated with the Vector Error Correction Model (VECM), Fully Modified Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Canonical Cointegrating Regression (CCR). Cointegration is confirmed by the bounds test (F = 11.635) and by the Johansen trace test, which indicates four cointegrating equations at the 5% level. Results Sectoral effects differ significantly. Maritime transport raises GHG emissions consistently across FMOLS, DOLS and CCR, whereas renewable energy use is confirmed as one of the most effective factors in reducing emissions. The maturation of financial development also exerts a significant mitigating effect. The long-run effects of air transport and GDP remain method-dependent and less robust, while rail transport shows no consistent significant effect. Diagnostic and stability tests indicate that the overall model is statistically robust and stable. Discussion In line with Spain’s carbon neutrality targets, policy should focus primarily on decarbonising maritime transport, accelerating the renewable energy transition and orienting the financial system in favour of green investments.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fenvs.2026.1831659first seen 2026-10-08 04:50:22
🔔 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。