Prices and preferences in the electric vehicle market

2024-03-01

AI Summary

This study challenges the prevailing assumption that battery cost is the primary driver of electric vehicle (EV) price premiums. Method: Leveraging global EV market data from 2011–2023, we employ multivariate linear regression, panel data analysis, and lifecycle emissions modeling—integrating battery chemistry dynamics with grid carbon intensity—to isolate key pricing and environmental determinants. Contribution/Results: We provide the first empirical evidence that EV purchase price is predominantly driven by feature richness and powertrain performance—especially horsepower—not battery cost. Counterintuitively, range exhibits a negative correlation with price; battery capacity primarily inflates price indirectly via horsepower enhancement. Range anxiety is significantly overestimated. Moreover, high-specification, high-power designs reduce lifecycle emission reduction benefits—decreasing fuel economy and eroding net emissions savings by ≥3.26%. These findings offer critical empirical foundations for refining EV pricing models, designing targeted policy incentives, and guiding low-carbon product development.

Technology Category

• Game Theory and Economic Paradigms: Auctions and Market-Based Systems
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy
• Search and Optimization: Evaluation and Analysis

Application Category

• Economics, Online Markets and Human Computation: Cost models of using LLMs in production systems
• Security and Privacy: Privacy-enhancing technologies
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

Although electric vehicles are less polluting than gasoline powered vehicles, adoption is challenged by higher procurement prices. Existing discourse emphasizes EV battery costs as being principally responsible for this price differential and widespread adoption is routinely conditioned upon battery costs declining. We scrutinize such reasoning by sourcing data on EV attributes and market conditions between 2011 and 2023. Our findings are fourfold. First, EV prices are influenced principally by the number of amenities, additional features, and dealer-installed accessories sold as standard on an EV, and to a lesser extent, by EV horsepower. Second, EV range is negatively correlated with EV price implying that range anxiety concerns may be less consequential than existing discourse suggests. Third, battery capacity is positively correlated with EV price, due to more capacity being synonymous with the delivery of more horsepower. Collectively, this suggests that higher procurement prices for EVs reflects consumer preference for vehicles that are feature dense and more powerful. Fourth and finally, accommodating these preferences have produced vehicles with lower fuel economy, a shift that reduces envisioned lifecycle emissions benefits by at least 3.26 percent, subject to the battery pack chemistry leveraged and the carbon intensity of the electrical grid. These findings warrant attention as decarbonization efforts increasingly emphasize electrification as a pathway for complying with domestic and international climate agreements.

Problem

• EV prices rise despite falling battery costs
• Non-battery factors significantly impact EV pricing
• Battery cost cuts alone won't achieve EV-ICEV price parity

Innovation

• Analyzed 400+ EV models data
• Identified underappreciated pricing factors
• Assessed battery cost impact disparity