Toward a Green Future: How New Energy Vehicles Illuminate Low-Carbon Lifestyles for Chinese Families
緑の未来に向けて：新エネルギー車が中国家庭の低炭素ライフスタイルをどう照らすか (AI 翻訳)
Jingxiao Wang
🤖 gxceed AI 要約
日本語
中国の二酸化炭素排出削減目標（dual carbon）の下、新エネルギー車（NEV）の家計導入要因を352世帯のアンケート調査で実証分析。政策認識、経済コスト、技術不安、環境意識が購入決定に影響し、特に若年・中年の高学歴層が主な購買層であることを示す。車両仕様や充電速度が重要で、日常運用コストが購入価格や補助金よりも重視される。インテリジェント機能やインフラは直接影響せず、家庭充電の利便性を通じて間接的に影響する。国・企業・家計の三者協力モデルを提案。
English
This empirical study analyzes factors influencing household adoption of new energy vehicles (NEVs) in China, based on a survey of 352 households. It finds that young, middle-aged, well-educated married individuals are the primary buyers, with vehicle specifications, comfort, and charging speed being key concerns. Daily operating costs matter more than purchase price or subsidies. Intelligent functions and infrastructure indirectly affect decisions through home charging convenience. The study proposes a tripartite collaboration model among state, businesses, and households to support low-carbon mobility transition.
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NEV普及要因を家計レベルで実証した点は、日本のEV普及政策（補助金、充電インフラ整備）やSSBJ開示における運輸部門のScope 1削減戦略を考える上で参考になる。日本の家庭向けEV導入支援策の設計に示唆を与える。
In the global GX context
This study provides empirical evidence on household-level drivers of NEV adoption in China, offering insights for global EV transition policies. It highlights the importance of operating costs and charging convenience over purchase subsidies, relevant for countries designing effective EV incentives and infrastructure investments. The findings contribute to understanding consumer behavior in emerging EV markets, useful for international climate policy and corporate strategy.
👥 読者別の含意
🔬研究者:Provides empirical evidence on household NEV adoption factors in China, useful for comparative studies on EV transition drivers.
🏢実務担当者:Highlights consumer priorities (operating costs, charging convenience) that can inform EV product development and marketing strategies.
🏛政策担当者:Suggests that infrastructure and cost-reduction policies may be more effective than purchase subsidies in promoting NEV adoption.
📄 Abstract（原文）
With the Chinese ambitions of the dual carbon, the new energy vehicles (NEVs) are a strategic automobile of effecting the green transformation of the household transportation. Still, there is sound development of the macro NEV market accompanied with micro-level household consumption uncertainties. This research is an empirical study of the policies based on the results of a questionnaire survey of 352 households, with a focus on policy perception, economic cost, and technological anxiety, and environmental attitudes as factors in determining household consumption choice of new energy vehicles. The results indicate that the fundamental consumer target of NEVs is the young and middle-aged married people, who are well educated. Specifications and comfort of vehicles become one of the factors determining the NEV purchases among households, and the driving experience and charging speed bring up to be the main concerns. Consumers are concerned with the daily operating costs and the secondary role is played by purchase prices and subsidies. Intelligent functions and infrastructure of the population do not have any direct impact on buying decisions; rather, their impact is indirectly transferred through the convenience of house charging. In this regard, this work suggests a three-party collaboratory model: the state must introduce specific infrastructure building and classifiable incentives; businesses must focus on the implementation of technology and maximum use of experience; households must be able to make rational consumption choices by evaluating the cost-benefit analysis and environmental responsibility. The study offers decision support on a micro level to support the transition of households in the green mobility direction and developing the transportation sector with low carbon.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.56028/aemr.17.1.164.2026first seen 2026-08-16 05:08:02
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。