Spatial econometric analysis of interdependencies and environmental dynamics in the Black Sea region
黒海地域における相互依存関係と環境動態の空間計量経済分析 (AI 翻訳)
Irina Georgescu, Jani Kinnunen
🤖 gxceed AI 要約
日本語
本研究は1990～2023年の黒海地域を対象に、CO2排出の空間的相互依存関係を空間計量経済モデル（SAR、SEM、SDM）で分析した。その結果、排出には強い空間スピルオーバー効果があり、再生可能エネルギー消費は直接・間接的に排出を削減する一方、GDPと都市化は増加させることを示した。また、FDIは排出削減に寄与し、クリーン技術の導入を促進する可能性がある。これらの知見は、EUと非EU諸国間の協力を含む地域的な政策調整の重要性を強調している。
English
This study analyzes spatial interdependencies in CO2 emissions in the Black Sea region from 1990–2023 using spatial econometric models (SAR, SEM, SDM). It finds strong spatial spillovers: renewable energy consumption reduces emissions both directly and indirectly, while GDP and urbanization increase them. FDI has a negative effect on emissions, suggesting its role in promoting clean technologies. The results highlight the need for regional coordination, joint renewable projects, and cross-border cooperation between EU and non-EU 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
本論文は黒海地域のCO2排出における空間的スピルオーバー効果を分析し、地域間協力の重要性を示している。日本にとって直接的な関連性は低いが、空間計量経済手法や国際協力の枠組みは参考になり、東アジア地域への応用可能性がある。
In the global GX context
This paper provides empirical evidence of spatial spillovers in CO2 emissions and the effectiveness of renewable energy across borders, contributing to the global understanding of regional environmental dynamics. It underscores the importance of coordinated policies and cross-border green investments, relevant for regions like the EU and Asia where transnational cooperation is key to climate goals.
👥 読者別の含意
🔬研究者:Provides empirical evidence on spatial spillovers of emissions and renewable energy effectiveness, valuable for further research on regional environmental dynamics and econometric modeling.
🏛政策担当者:Emphasizes the necessity of cross-border cooperation and joint renewable energy projects for effective emission reduction in the Black Sea region; insights applicable to other regions facing similar challenges.
📄 Abstract（原文）
The Black Sea region is characterized by diverse economies, energy structures, and environmental policies, leading to significant spatial interdependencies in CO2 emissions. This study examines the spatial dynamics of CO2 emissions in the region using spatial econometric models, including Spatial Autoregressive (SAR), Spatial Error (SEM), and Spatial Durbin Models (SDM). The analysis covers the period 1990–2023, investigating the effects of GDP, renewable energy consumption, urbanization, and foreign direct investment (FDI) on emissions. The findings reveal strong spatial spillover effects, where CO2 emissions in one country influence neighboring regions. Renewable energy consumption significantly reduces emissions, both directly and through spillovers, while GDP and urbanization contribute to higher emissions. FDI has a negative effect on CO2 emissions, suggesting its role in promoting clean technologies and sustainable investments, depending on host country policies. These results highlight the need for regional coordination in addressing environmental challenges. Joint renewable energy projects, sustainable urban planning, and green investment incentives are important for reducing emissions. Policymakers should consider cross-border cooperation, particularly between EU and non-EU Black Sea countries, to strengthen environmental policies and accelerate the transition to a low-carbon economy.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s43546-026-01144-2first seen 2026-05-05 19:13:31
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