The Influence of Government Subsidies and Perceived driving Range on Consumers’ Purchase Intention for New Energy Vehicles: A Logistic Regression Approach
- DOI
- 10.2991/978-94-6463-992-6_26How to use a DOI?
- Keywords
- New energy vehicles; Government subsidies; Driving range; Synergistic effect
- Abstract
As global attention to sustainable development grows, promoting new energy vehicles has become a key policy goal worldwide. This paper examines two factors influencing consumers’ purchase intention: government subsidies and perceived driving range. Subsidies represent external policy incentives, while perceived range reflects internal performance perception. Using a hybrid approach with JASP, this study finds that both higher subsidies and stronger perceived range positively affect purchase intention. However, their interaction is not significant, pointing out that both factors impact purchasing decisions independently. The results are essential for policymakers or companies in the field of new energy vehicles to make sound policies and strategies in favor of adopters.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Haozhen Wang PY - 2026 DA - 2026/02/20 TI - The Influence of Government Subsidies and Perceived driving Range on Consumers’ Purchase Intention for New Energy Vehicles: A Logistic Regression Approach BT - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) PB - Atlantis Press SP - 275 EP - 284 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-992-6_26 DO - 10.2991/978-94-6463-992-6_26 ID - Wang2026 ER -