Study on R&D result subsidy strategies for PEV enterprises based on heterogeneous consumer technology thresholds and preferences under anxiety issues

Guardado en:
Bibliografiske detaljer
Udgivet i:PLoS One vol. 20, no. 2 (Feb 2025), p. e0314476
Hovedforfatter: Wang, Ye
Udgivet:
Public Library of Science
Fag:
Online adgang:Citation/Abstract
Full Text
Full Text - PDF
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

MARC

LEADER 00000nab a2200000uu 4500
001 3168278179
003 UK-CbPIL
022 |a 1932-6203 
024 7 |a 10.1371/journal.pone.0314476  |2 doi 
035 |a 3168278179 
045 2 |b d20250201  |b d20250228 
084 |a 174835  |2 nlm 
100 1 |a Wang, Ye 
245 1 |a Study on R&D result subsidy strategies for PEV enterprises based on heterogeneous consumer technology thresholds and preferences under anxiety issues 
260 |b Public Library of Science  |c Feb 2025 
513 |a Journal Article 
520 3 |a Many governments worldwide hoped to stimulate Pure Electric Vehicle(PEV) enterprises’ R&D and sales through R&D result subsidy policies, but the anxiety issues significantly reduced PEV sales and weakened the policy effectiveness. To achieve better incentive effects, considering the impact of anxiety issues on subsidy strategies is necessary. As anxiety problems stem from typical behavior characteristics of PEV consumers——consumer technology thresholds, reasonable study should understand them and quantify their impact from the perspective of consumer technology thresholds. Therefore, it constructs a sequential game model among the government, the PEV company, and consumers with two dimensions of heterogeneous behavior characteristics——technology thresholds and preferences. It also determines the optimal R&D result subsidy strategies and analyzes the impact of the technology thresholds and preferences on them. It shows that the government should provide subsidies except for PEV enterprises with R&D efficiency in the higher range, and its optimal strategies must consider consumer technology threshold and preference conditions. The lower the technology thresholds of PEV consumers, the lower the optimal subsidy ratio until the technology level of the enterprise is already high enough, and there is no need for subsidies. Higher consumer technology preferences of PEV consumers will achieve the same effect. The numerical simulation shows that compared to other models, the model considering PEV consumer technology thresholds can optimize the subsidy ratio and achieve better incentive effects. 
653 |a Consumer behavior 
653 |a Anxiety 
653 |a Subsidies 
653 |a Electric vehicles 
653 |a Two dimensional analysis 
653 |a Research & development--R&D 
653 |a Government subsidies 
653 |a Sales 
653 |a Social responsibility 
653 |a Thresholds 
653 |a Consumers 
653 |a Numerical simulations 
653 |a Numerical models 
653 |a Optimization 
653 |a Preferences 
653 |a Impact analysis 
653 |a Willingness to pay 
653 |a Mathematical models 
653 |a Economic 
773 0 |t PLoS One  |g vol. 20, no. 2 (Feb 2025), p. e0314476 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3168278179/abstract/embedded/Y2VX53961LHR7RE6?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3168278179/fulltext/embedded/Y2VX53961LHR7RE6?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3168278179/fulltextPDF/embedded/Y2VX53961LHR7RE6?source=fedsrch