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ORIGINAL RESEARCH article

Front. Sustain. Cities

Sec. Urban Transportation Systems and Mobility

Volume 7 - 2025 | doi: 10.3389/frsc.2025.1685887

Impact of New Energy Vehicle Market Scale Expansion on Urban Green Development——Evidence from Chinese Cities

Provisionally accepted
  • 1Hunan University of Technology and Business, Changsha, China
  • 2School of Public Administration and Human Geography,Hunan University of Technology and Business, Changsha, China

The final, formatted version of the article will be published soon.

Abstract: In recent years, the Chinese new energy vehicle (NEV) market has undergone rapid expansion, playing a significant role in reducing urban carbon emissions. Using panel data from 299 Chinese cities, spanning the period from 2008 to 2024, this study develops a regression model to analyze the impact of NEV market expansion on urban green development and to investigate the underlying mechanisms. The findings reveal that the growth of the NEV market significantly enhances urban green development, with urban population density serving as a key positive moderating factor. Mechanistically, the expansion of the NEV market stimulates technological advancements in new energy, reshapes urban energy consumption patterns, and optimizes both upstream and downstream industrial structures. Additionally, the implementation of policies promoting the adoption of NEVs has proven effective in advancing urban green development. Cities that have adopted subsidy policies for NEVs have seen a substantial increase in the expansion of the NEV market, leading to significant improvements in urban green development levels. Based on these findings, the paper offers policy recommendations aimed at accelerating urban green transformation through the strategic expansion of the NEV market.

Keywords: Urban green development, new energy vehicle market, Energy structure, New Energy Technology, industrial upgrade

Received: 20 Aug 2025; Accepted: 29 Sep 2025.

Copyright: © 2025 Du and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jiankai Zhang, 494834016@qq.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.