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To systematically review the research on electric vehicle (EV) sales, integrating determinants and forecasting methodologies.

March 2, 2026Open Access

A Structured Review of Electric Vehicle Sales Research: Multi-Level Driving Factors and Forecasting Pathways over the Past Decade

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To systematically review the research on electric vehicle (EV) sales, integrating determinants and forecasting methodologies.
Conducted a structured review of EV sales research from 2016 to 2025 based on databases Scopus and Web of Science.
Identified 1518 records and retained 194 peer-reviewed articles after a multi-stage screening process.
Categorized literature into determinants of EV sales and forecasting approaches using a macro-meso-micro framework.
Found a stage-based evolution in EV sales research with limited publications before 2020 and expansion after 2021.
Dominance of econometric models (54%) in forecasting, with increasing use of machine learning (18%) and behavior simulations (14%).
Identified a methodological imbalance and proposed future directions for integrating multi-level factors in EV sales dynamics.

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This structured review analyzes EV sales determinants and forecasting models, highlighting research evolution over the past decade.

Han et al. (2026) studied this question.

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