Cash, commute and carbon: How does income affect carbon emissions through transportation?
現金、通勤、炭素：所得は交通手段を通じて炭素排出にどのように影響するか (AI 翻訳)
Keping Huang
🤖 gxceed AI 要約
日本語
本研究は中国の都市パネルデータを用い、所得増加が交通手段選択を通じて炭素排出に与える影響を分析。所得上昇は公共交通利用を促進し排出を減らす一方、自家用車利用を増やし排出を増加させるという二面的効果がある。また、スマート交通の発展が所得増加による排出削減に寄与する空間的媒介効果を示した。
English
Using Chinese urban panel data from 2000-2023, this study examines how income growth affects carbon emissions through transportation mode choices. It finds a dual effect: higher income increases public transit use (reducing emissions) but also private vehicle use (increasing emissions). Smart transportation development spatially mediates income's emission-reducing effect.
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
中国の都市パネルデータを用いた研究だが、所得増加が公共交通利用増加と自家用車利用増加の両方を通じて排出に影響するメカニズムは、日本の都市政策にも示唆を与える可能性がある。
In the global GX context
This study uses Chinese data but the finding that rising income increases emissions via private vehicles while reducing via public transit is a common pattern in many countries. The spatial effect of smart transportation offers insights for global urban decarbonization strategies.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the income-transport emission nexus using panel data and spatial analysis.
🏛政策担当者:Reveals the dual role of public and private transport in carbon emissions, suggesting targeted policies for income-driven travel behavior changes.
📄 Abstract（原文）
As a pivotal economic factor, the choice of transportation mode exerts a significant influence on both residents’ income changes and urban carbon emissions. Utilizing China’s urban panel data from 2000 to 2023 and adopting a residents’ travel behavior perspective, this study employs Fixed Effects Ordinary Least Squares (FE-OLS) estimation, Instrumental Variables (IV) methods, and Spatial Regression approaches to analyze the mechanisms and effects of changes in residents’ income levels on urban per capita carbon emissions. Furthermore, an urban smart transportation level variable is constructed to examine the spatial mediating effect of smart transportation.The findings indicate that an increase in urban residents’ income contributes to higher per capita carbon emissions. Mechanism analysis reveals that rising income reduces carbon emissions by encouraging greater use of public transit and less reliance on taxis, yet simultaneously increases emissions through higher private vehicle usage. The moderating effect suggests that widening income disparity amplifies the mediating effects of public and private transportation, while attenuating the mediating effect of taxi travel. Geospatial analysis demonstrates that rising resident income can facilitate carbon emission reduction by enhancing urban smart transportation development. This study enriches the literature on urban carbon mitigation and offers significant implications for the advancement of green cities, transportation strategies, and urban policy formulation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.17632/92h8xfjgjp.1first seen 2026-06-17 07:25:59 · last seen 2026-06-18 05:07:15
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