Towards Sustainable Urbanization and Zero–Carbon Urban Life: A Case Study of <scp>BRICS</scp> Countries Between 1992 and 2020
持続可能な都市化とゼロカーボン都市生活に向けて：1992年から2020年までのBRICS諸国の事例研究 (AI 翻訳)
Korkmaz YILDIRIM, Tunahan HACIİMAMOĞLU
🤖 gxceed AI 要約
日本語
この研究は、BRICS諸国における都市化の要素（都市人口増加、大都市人口、大都市圏人口、人口密度）が二酸化炭素排出に与える影響を1992年から2020年のデータで分析。分位点回帰を用い、環境クズネッツ曲線仮説を支持する結果を得た。都市化の一部要素は排出削減に寄与するが、人口密度の上昇は排出を増加させることを示した。
English
This study examines the impact of urbanization components (urban population growth, population in largest city, urban agglomerations, and population density) on carbon emissions in BRICS countries from 1992-2020 using MMQR. It finds support for the EKC hypothesis and that while some urbanization factors reduce emissions, increased population density raises CO2. The study emphasizes the need to consider urbanization subsystems in climate 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
日本の都市政策や持続可能な都市計画にも示唆を与える。特に人口密度や都市成長が排出に与える影響は、日本のコンパクトシティ政策やゼロカーボンシティ目標に関連する。
In the global GX context
This BRICS-focused study provides insights for global urbanization and climate policy, especially relevant for rapidly urbanizing regions. It reinforces the need for integrated urban planning with renewable energy to achieve net-zero targets.
👥 読者別の含意
🔬研究者:Offers empirical evidence on the urbanization-emissions relationship using robust quantile regression.
🏢実務担当者:Can inform urban planning strategies for emissions reduction in rapidly growing cities.
🏛政策担当者:Highlights the importance of considering urbanization subsystems in climate policy design.
📄 Abstract（原文）
ABSTRACT Urban factors play a critical role in efforts to reduce greenhouse gas emissions and adapt to climate change. In this regard, this study aims to examine the impact of urbanization and its components (e.g., urban population growth [UPG], population in the largest city [ULC], population in urban agglomerations [UPA] of more than 1 million, and population density [UPD]) on carbon emissions in Brazil, Russia, India, China, and South Africa (BRICS) in the period from 1992 to 2020. To investigate the relationships among these variables, this study employs the Moments Quantile Regression method (MMQR), a novel and robust econometric technique. This study finds that all the models support the EKC hypothesis, which indicates that Gross Domestic Product (GDP) and carbon emissions have a nonlinear relationship with an inverted U–shape. This study also finds that growing UPG, ULC, UPA, and REC reduce carbon emissions but increasing UPD raises CO 2 emissions. Hence, the study has unequivocally illustrated the imperative for scholars and political decision–makers to consider the alterations in urbanization subsystems when formulating and implementing sustainability and climate change policies and plans. In this regard, policymakers should prioritize sustainable urban planning that incorporates renewable energy sources and takes into account the demographic and sociopolitical factors influencing urbanization in order to effectively reduce carbon emissions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1111/1477-8947.70066first seen 2026-06-10 04:45:54 · last seen 2026-06-16 04:40:29
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