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EU諸国における技術・エネルギー・社会保護がCO2排出量に与える影響：SARARモデルを用いた空間計量分析

The Impact of Technology, Energy and Social Protection on CO2 Emissions in European Union Countries: A Spatial Econometric Analysis Applying the SARAR Model (原題)

Miloš S. Krstić, Ivan Đekić, Lidija Madžar

Sustainability📚 査読済 / ジャーナル2026-10-14#政策対象セクター: power
DOI: 10.3390/su182010448
原典: https://doi.org/10.3390/su182010448

🤖 gxceed AI 要約

日本語

EU18カ国を対象に、エネルギー技術R&D支出・家計電力価格・社会保護支出がCO2排出量に与える影響をSARAR空間計量モデルで分析した研究。排出量は国内要因だけでなく近隣国からの空間的スピルオーバーの影響も受けることを確認。クリーンエネルギー技術への公的R&D支出は自国のみならず周辺地域の排出も有意に削減することを示した。

English

A SARAR spatial econometric analysis of 18 EU countries (2014–2023) testing how public energy R&D spending, household electricity prices, and social protection expenditure drive CO2 emissions. Results confirm spatial dependence: emissions spill over across borders. Public R&D spending on clean energy technologies significantly cuts emissions both domestically and in neighboring countries.

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

炭素価格や排出削減の政策効果が国境を越えて波及することを実証しており、日本のGX推進における国際連携や排出削減目標の対外依存構造を考える材料になる。ただし開示制度やSSBJとの直接の接続は薄い。

In the global GX context

Provides empirical evidence that decarbonization policy effects spill across borders, relevant to EU-level coordination under CSRD/ETS and to debates on whether national climate policy delivers territorial or imported abatement. Useful for transition-finance and policy-mix discussions but not a disclosure-framework paper.

👥 読者別の含意

🔬研究者:空間計量で政策変数の越境スピルオーバーを扱う手法例として参照価値がある。

🏢実務担当者:電力価格や社会保護支出が排出量に効くという政策環境の理解に資するが、開示実務への直接示唆は限定的。

🏛政策担当者:エネルギー技術R&Dへの公的支出が自国・近隣国の排出削減に波及する点は、国際的な気候政策協調の根拠になりうる。

📄 Abstract（原文）

Climate change is often seen as the most global and complex problem that has emerged in the development of humanity so far. Rising temperatures, changing precipitation and more frequent extreme climate events affect all countries regardless of their geographical location and level of development, determining national production potential and the quality of life of the population. Starting from these challenges, this paper analyzes the contribution of key socio-economic determinants of climate change, which are quantified through CO2 emissions, in eighteen European Union countries, with a special emphasis on the spatial spillovers of these impacts between countries (the period 2014–2023). The research results indicate that climate change in a country does not depend exclusively on “domestic” factors, but is also exposed to spillovers from neighboring countries, which confirms the existence of spatial dependence. By applying the econometric model SARAR, public expenditure on research, development and demonstration of energy technologies, electricity prices for households, and social protection expenditures were identified as key and statistically significant predictors of CO2 emissions, where the estimated effects are conditioned by the specification of the spatial weight matrix and the choice of fixed or random effects. The research findings highlight the role of public expenditure for R&D in the field of energy that has a significant negative impact on CO2 emissions. In addition to direct emission reductions within the observed country, the model confirms the existence of a strong indirect (regional) spillover effect. This proves that investments in clean energy technologies effectively decrease pollution in neighboring geographical areas.

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