Determinants of Carbon Dioxide (CO₂) Emissions in High-Emitting G20 Member Countries: The Roles of Manufacturing, Trade Openness, and Urban Population
高排出G20加盟国における二酸化炭素排出の決定要因：製造業、貿易開放度、都市人口の役割 (AI 翻訳)
Novita Dwi Anggraini, Toto Gunarto, Asih Murwiat
🤖 gxceed AI 要約
日本語
本研究は、高排出G20諸国におけるCO2排出の決定要因を、製造業、貿易開放度、都市人口の観点から分析。2004-2023年のパネルデータを用い、固定効果モデルが最適。貿易開放度、都市人口、製造業はいずれも排出に対して正の有意な影響を与える。低炭素産業転換や持続可能な都市開発の必要性を示唆。
English
This study analyzes determinants of CO2 emissions in high-emitting G20 countries using panel data from 2004-2023. Fixed effects model shows trade openness, urban population, and manufacturing all positively and significantly increase emissions. Findings underscore need for low-carbon industrial transformation and sustainable urban policies.
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
本論文は高排出G20諸国に焦点を当てており、日本のように排出量の多い国にも示唆がある。ただし、日本固有の政策や制度（GXリーグ、カーボンプライシングなど）には直接言及しておらず、エビデンスベースとして活用可能。
In the global GX context
This study provides empirical evidence from high-emitting G20 countries, relevant for global climate policy. It reinforces the need to consider trade, urbanization, and manufacturing in emission reduction strategies, aligning with ISSB and TCFD frameworks that require understanding of emission drivers.
👥 読者別の含意
🔬研究者:Provides empirical evidence on key drivers of CO2 emissions in major economies, useful for validating theoretical models.
🏢実務担当者:Insights into how trade and urbanization impact emissions can inform corporate carbon footprint analysis.
🏛政策担当者:Highlights areas for policy intervention: trade policies, urban planning, and industrial transformation.
📄 Abstract（原文）
This study aims to analyze the determinants of carbon dioxide (CO₂) emissions in high-emitting G20 member countries by examining the roles of manufacturing, trade openness, and urban population. The study employs secondary data obtained from the World Bank covering the period 2004–2023 and applies a panel data approach. CO₂ emissions per capita are used as the dependent variable, while trade openness (TO), urban population (URB), and manufacturing (MNF) are included as independent variables. The analytical method utilized is panel data regression with estimations based on the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Model selection is conducted using the Chow test and the Hausman test. The estimation results indicate that the Fixed Effect Model (FEM) is the most appropriate specification. Partially, the findings demonstrate that trade openness has a positive and significant effect on CO₂ emissions, suggesting that increased international trade intensity tends to raise emissions through the expansion of production scale and distribution/logistics activities. In addition, the urban population exerts a positive and significant impact on CO₂ emissions, indicating that rising urbanization drives higher energy demand, mobility, and infrastructure needs. The manufacturing variable also shows a positive effect on emissions and remains relevant in explaining emission increases among high-emitting countries. Overall, these findings confirm that economic openness and urban growth are key drivers of CO₂ emissions in high-emitting G20 countries, highlighting the need for policies that support low-carbon industrial transformation, energy efficiency, and sustainable urban development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.47191/jefms/v9-i4-22first seen 2026-05-15 18:16:33
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