A Quantitative Study on Consumers' Perceived Value of Emerging Industrial Policies
- DOI
- 10.2991/978-94-6463-102-9_100How to use a DOI?
- Keywords
- policy perceived value quantification; consumer perspective; prospect theory; emerging industry; new energy vehicle
- Abstract
Emerging industry policy texts are highly unstructured and difficult to quantify and there is a lack of quantitative research on consumers' perceived value of emerging industry policies. This paper proposes a quantitative tool construction method for consumers' perceived value of emerging industrial policies. The proposed method is used to obtain the consumer's perceived value quantification tool for the new energy vehicle industry policy, and the feasibility of the method is verified by using the new energy vehicle industry policy and consumer review data from 2015 to 2020; using the annual policy perception value quantification The correlation between the total value and the sales of new energy vehicles with a lag of one year verifies the validity of the perceived value quantification tool obtained by this construction method.
- Copyright
- © 2023 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 - Weiyu Wang AU - Zhongya Han AU - Zhongjun Tang PY - 2022 DA - 2022/12/29 TI - A Quantitative Study on Consumers' Perceived Value of Emerging Industrial Policies BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 966 EP - 970 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_100 DO - 10.2991/978-94-6463-102-9_100 ID - Wang2022 ER -