Determinants of Carbon Dioxide (CO₂) Emissions in High-Emitting G20 Member Countries: The Roles of Manufacturing, Trade Openness, and Urban Population
高排出量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、2004～2023年のパネルデータを用いて、高排出G20諸国のCO2排出要因を分析。貿易開放度、都市人口、製造業はいずれも排出に正の有意な影響を与え、経済開放と都市化が排出増加の主因であることを示した。低炭素産業転換と持続可能な都市政策の必要性を強調している。
English
This study analyzes determinants of CO2 emissions in high-emitting G20 countries using panel data from 2004-2023. Results show that trade openness, urban population, and manufacturing all have positive and significant effects. The findings underscore the need for low-carbon industrial transformation and sustainable urban development 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
日本はG20高排出国の一つであり、本分析結果は製造業のグリーン化や都市の脱炭素政策に示唆を与える。特に貿易開放度と排出の関係は、国際サプライチェーンを通じた排出削減戦略の重要性を再認識させる。
In the global GX context
This paper provides empirical evidence on the drivers of CO2 emissions in major economies, relevant for global climate policy. The positive effects of trade openness and urbanization highlight challenges for decarbonization in both developed and emerging G20 countries.
👥 読者別の含意
🔬研究者:研究者は、高排出国におけるCO2排出の経済的决定要因に関する実証結果を参考にできる。
🏢実務担当者:企業は、貿易開放度や都市化が排出に与える影響を理解し、サプライチェーンや都市計画における脱炭素戦略に活用できる。
🏛政策担当者:政策立案者は、製造業や貿易政策を低炭素化に結びつけるためのエビデンスとして本結果を活用できる。
📄 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.19675596first seen 2026-05-15 18:16:18
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