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Optimizing strategies for the high-quality development of intelligent new energy vehicles

A case study of Anhui Province

Datos Bibliográficos

ID7397232
AutoresShi Qin, Yufeng Du (0000-0002-4011-7030), Yingjun Qiao (0000-0003-1602-5651), Linjie Ren (0000-0002-3821-3285), Teng Cheng (0000-0003-3165-2805), Xianguang Gu (0000-0002-7584-107X), Can Xu (0000-0003-3387-2297), Jin Huang (0000-0002-2833-8041), Shengji Ye
Año2025
Volumen10
Páginas101362-101362
Fecha de publicación2025-09-27
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSustainable Futures (JOURNAL)
Identificadores de la revistaISSN: 2666-1888
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.sftr.2025.101362
OpenAlexW4414570414
IdiomaEN
Referencias citadas13

The automotive industry is evolving with advances in electrification, vehicle intelligence, and connectivity. This study assesses the strategic position and growth prospects of Anhui's intelligent new energy vehicle (INEV) industry during the global automotive transition. In this paper, the Delphi method is employed to evaluate Anhui’s industrial strengths, policy support, and talent base. Based on these evaluations, this study proposes a regional development framework, “One Core, Two Wings, One Base.” Within this framework, the Analytic Hierarchy Process (AHP) is applied to derive indicator weights. To convert the diagnosis into actionable strategies, a SWOT analysis is conducted to link internal factors to external conditions. The results indicate that Anhui maintains a competitive position in the INEV industry but encounters gaps in core technology and assurance functions. Accordingly, targeted development strategies and policy measures are proposed. These measures target gaps in key technologies while strengthening supply-chain resilience in Anhui’s INEV industry

Electric Vehicles and Infrastructure · Energy, Environment, and Transportation Policies · Transportation and Mobility Innovations

  • Planning and Policy Directions for Autonomous Vehicles in Metropolitan Planning Organizations (MPOs) in the United States

    Devon McAslan, Max Gabriele et al.•Journal of Urban Technology•2021

Velocidad de citaciónhistorical
Altamente citadoNo
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