電気自動車と炭素排出強度:拡張STIRPATとSystem GMMを用いたクロスカントリー分析
Electric vehicles and carbon emission intensity: cross-country evidence using extended STIRPAT and System GMM frameworks (原題)
Shuyang Wang, Lim Thye Goh, Santha Chenayah
🤖 gxceed AI 要約
日本語
2010〜2023年の32か国のデータを用い、EV普及(ストックと販売)が炭素排出強度(CEI)を有意に低下させることを実証。GDPや再生可能電力シェアもCEIに影響し、高所得国で効果が大きい。都市化はCEIを悪化させるため、都市計画と電力脱炭素化の連携が重要と示唆。
English
Using data from 32 economies (2010-2023), this study shows that EV penetration (stock and sales) significantly reduces carbon emission intensity (CEI). Effects are stronger in high-income countries, while urbanization increases CEI. Findings highlight the need to coordinate EV adoption with power sector decarbonization and urban planning.
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
日本のEV戦略やGX政策に示唆。SSBJ開示やカーボンプライシングと連動し、EV普及の効果を定量的に評価する際の参考となる。都市化や再生可能電力との相互作用は、日本の都市部や電力構成を考慮した政策設計に有用。
In the global GX context
Provides cross-country evidence on EV decarbonization relevant to global climate policy and ISSB/TCFD disclosure. Highlights the role of renewable electricity share and urbanization, informing transition finance and net-zero strategies. Useful for multinational companies assessing EV fleet impacts.
👥 読者別の含意
🔬研究者:EV普及と炭素強度の関係を動学的パネルで検証した方法論と結果が参考になる。
🏢実務担当者:EV導入と再生可能電力調達の連携が炭素削減効果を高めることを示し、Scope 1/2/3戦略に示唆。
🏛政策担当者:高所得国と中所得国の差異を踏まえた、開発段階に応じたEV政策の重要性を示す。
📄 Abstract(原文)
Purpose The present study aims to investigate whether electric vehicle (EV) penetration reduces carbon emissions across 32 major electronic vehicle (EV)-adopting economies between 2010 and 2023. The study evaluates the relationship between EV diffusion and carbon emission intensity (CEI) while accounting for economic development, energy consumption (EC), the share of renewable electricity and urbanisation. By comparing EV stock and EV sales, the study also examines whether sustained EV penetration generates stronger decarbonisation benefits than short-term market expansion. Design/methodology/approach The study applies an extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) framework and estimates dynamic panel models using the system generalised method of moments (System GMM). EV stock and EV sales are used as alternative indicators of EV penetration to improve robustness and reduce measurement bias. The control variables include gross domestic product (GDP) per capita, primary EC, renewable electricity share, urbanisation, population density and research and development (R&D) expenditure. Model validity is evaluated using benchmark comparisons and standard System GMM diagnostic tests. Heterogeneity analysis is conducted for high-income and middle-income economies. Findings EV penetration is significantly associated with lower CEI, indicating that transport electrification supports decarbonisation. Both EV stock and EV sales exhibit significant negative associations with CEI. While the estimated coefficient for EV stock is slightly larger in magnitude than that for EV sales, the difference is modest, suggesting that both sustained fleet transformation and ongoing market expansion contribute to carbon mitigation. Primary EC and urbanisation increase CEI, while GDP per capita and the share of renewable electricity reduce it. The mitigation effect is stronger and statistically significant in high-income countries but weaker in middle-income economies. Interaction analysis further shows that EV mitigation weakens with urbanisation but strengthens with a higher share of renewable electricity. Research limitations/implications The study focuses on 32 major EV-adopting economies, which may limit generalisation to low-adoption countries. Data limitations prevent the direct measurement of grid-level carbon intensity, charging behaviour and supply-chain emissions. The log-linear specification also assumes constant elasticities and does not test for threshold effects. Future studies could incorporate nonlinear models, grid-specific emission factors and policy variables, such as EV subsidies, carbon taxes and fuel-economy standards. Mediation analysis may further clarify whether EV penetration affects carbon intensity directly or indirectly through changes in electricity demand and energy structure. Practical implications The findings suggest that EV strategies should support both sustained fleet penetration and ongoing market adoption, with accumulated EV stock showing a slightly larger estimated benefit. EV deployment should also be coordinated with power sector decarbonisation, as the electricity generation structure strongly influences mitigation outcomes. Urbanisation-driven carbon pressure implies that EV adoption must be integrated into low-carbon urban mobility planning. Policymakers should strengthen innovation governance to ensure that R&D incentives translate into environmental improvements and adopt development-sensitive EV policies that reflect differences in infrastructure readiness and energy systems across countries. Social implications The study highlights that EV adoption can support climate action, but its benefits remain uneven across countries and development stages. Middle-income economies may face affordability and infrastructure constraints that weaken decarbonisation outcomes. Because urbanisation increases carbon intensity, EV diffusion alone cannot fully offset emissions pressure from expanding cities. The findings emphasise the social importance of coordinated energy and transport transitions, equitable infrastructure development and broader access to low-carbon technologies to avoid widening sustainability gaps between developed and developing economies. Originality/value This study provides cross-country evidence on EV-driven decarbonisation using a dynamic extended STIRPAT framework. By linking EV penetration directly to CEI and comparing EV stock with EV sales, the study shows that both accumulated EV stock and current EV sales are associated with lower carbon intensity, with EV stock exhibiting a slightly larger estimated effect. The analysis further incorporates renewable electricity share, urbanisation and income-group heterogeneity, showing that EV mitigation effects are concentrated in high-income economies. The study offers policy-relevant insights into the structural conditions required for EV transitions to reduce carbon intensity effectively.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1108/jabes-01-2026-0033first seen 2026-08-20 04:49:12
- semanticscholar https://doi.org/10.1108/jabes-01-2026-0033first seen 2026-08-21 04:50:32 · last seen 2026-09-21 04:55:12
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