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（CO₂）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 Murwiati
🤖 gxceed AI 要約
日本語
本研究は、高排出G20諸国を対象に、製造業、貿易開放度、都市人口がCO2排出に与える影響を2004～2023年のパネルデータで分析。固定効果モデルが最適で、貿易開放度、都市人口、製造業はいずれも排出を有意に増加させることを示した。結果は低炭素産業転換や持続可能な都市開発の必要性を示唆する。
English
This study analyzes determinants of CO2 emissions in high-emitting G20 countries using panel data from 2004–2023. Fixed effects regression shows that trade openness, urban population, and manufacturing all have significant positive effects on emissions. The findings emphasize the need for low-carbon industrial policies and sustainable urban development.
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
日本も高排出G20の一角であり、貿易・都市化・製造業が排出に与える影響は日本の気候政策にも示唆を与える。特に、日本の製造業や都市計画における排出削減策の強化が求められる。
In the global GX context
This paper provides cross-country evidence on key drivers of emissions in high-emitting G20 economies, relevant for global climate policy design. While not Japan-specific, the findings underscore the importance of trade, urbanization, and manufacturing in emission trajectories, offering a benchmark for national climate strategies.
👥 読者別の含意
🔬研究者:Provides empirical evidence on emission determinants in major economies, useful for comparative climate policy research.
🏢実務担当者:Limited direct applicability; may inform corporate understanding of macro drivers but lacks firm-level insight.
🏛政策担当者:Highlights the need for integrated policies addressing trade, urbanization, and industrial emissions in high-emitting countries.
📄 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/10.5281/zenodo.19675595first seen 2026-05-15 18:15:53
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