Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366262810> ?p ?o ?g. }
- W4366262810 endingPage "127587" @default.
- W4366262810 startingPage "127587" @default.
- W4366262810 abstract "With the abolition of the purchase subsidies for electric vehicles (EVs) in China commencing from 2023, expanding the incentive policy system has become a priority. In the absence of subsidies, different types of information from multiple dimensions become important references for EV adoption, which were rarely studied. To fill the gap, we developed an evolutionary model based on multiplex networks to analysis the effectiveness of different types of policies based on consumers' dynamic decisions. Furthermore, different interaction mechanisms were constructed to examine the influence of information dimensions of EV quantity and evaluations. Our results show that: (1) The value retention rate of EVs exerts a significant impact on the adoption rate. (2) Restricting the purchase and driving of traditional vehicles can stimulate the diffusion of EVs. However, due to crowding-out effect, no better policy effect can be achieved when both policies are strictly implemented. (3) The behavioral information possesses a dual impact. Demonstration policies can enhance adoption by improving consumers’ perception of the number of EVs. Education and publicity can promote the adoption by enhancing consumers' evaluation. (4) Compared with the evaluation information, the quantity of EVs is more reliable, which also reflects the subtle influence of the environment." @default.
- W4366262810 created "2023-04-20" @default.
- W4366262810 creator A5005431458 @default.
- W4366262810 creator A5012300839 @default.
- W4366262810 creator A5024982238 @default.
- W4366262810 creator A5081891878 @default.
- W4366262810 date "2023-08-01" @default.
- W4366262810 modified "2023-09-26" @default.
- W4366262810 title "Exploring incentives to promote electric vehicles diffusion under subsidy abolition: An evolutionary analysis on multiplex consumer social networks" @default.
- W4366262810 cites W1200343027 @default.
- W4366262810 cites W2008620264 @default.
- W4366262810 cites W2010026681 @default.
- W4366262810 cites W2112090702 @default.
- W4366262810 cites W2134374287 @default.
- W4366262810 cites W2415967570 @default.
- W4366262810 cites W2461448298 @default.
- W4366262810 cites W2558996651 @default.
- W4366262810 cites W2735131731 @default.
- W4366262810 cites W2739546661 @default.
- W4366262810 cites W2766725958 @default.
- W4366262810 cites W2797171905 @default.
- W4366262810 cites W2799668322 @default.
- W4366262810 cites W2800544197 @default.
- W4366262810 cites W2804395802 @default.
- W4366262810 cites W2809542873 @default.
- W4366262810 cites W2810184983 @default.
- W4366262810 cites W2889851080 @default.
- W4366262810 cites W2895358870 @default.
- W4366262810 cites W2900769919 @default.
- W4366262810 cites W2901106490 @default.
- W4366262810 cites W2901205406 @default.
- W4366262810 cites W2907936705 @default.
- W4366262810 cites W2911337290 @default.
- W4366262810 cites W2922280071 @default.
- W4366262810 cites W2922566762 @default.
- W4366262810 cites W2967685796 @default.
- W4366262810 cites W2980242045 @default.
- W4366262810 cites W2981684732 @default.
- W4366262810 cites W2993786899 @default.
- W4366262810 cites W3001094649 @default.
- W4366262810 cites W3001873249 @default.
- W4366262810 cites W3008860162 @default.
- W4366262810 cites W3008942863 @default.
- W4366262810 cites W3016362086 @default.
- W4366262810 cites W3026293396 @default.
- W4366262810 cites W3049631741 @default.
- W4366262810 cites W3054502679 @default.
- W4366262810 cites W3109132078 @default.
- W4366262810 cites W3124263916 @default.
- W4366262810 cites W3153881282 @default.
- W4366262810 cites W3163718937 @default.
- W4366262810 cites W3164692230 @default.
- W4366262810 cites W3166508594 @default.
- W4366262810 cites W3174658357 @default.
- W4366262810 cites W3185305197 @default.
- W4366262810 cites W3195789628 @default.
- W4366262810 cites W3198299128 @default.
- W4366262810 cites W3203581592 @default.
- W4366262810 cites W4220856912 @default.
- W4366262810 cites W4229372890 @default.
- W4366262810 cites W4283029848 @default.
- W4366262810 cites W4289170510 @default.
- W4366262810 doi "https://doi.org/10.1016/j.energy.2023.127587" @default.
- W4366262810 hasPublicationYear "2023" @default.
- W4366262810 type Work @default.
- W4366262810 citedByCount "1" @default.
- W4366262810 countsByYear W43662628102023 @default.
- W4366262810 crossrefType "journal-article" @default.
- W4366262810 hasAuthorship W4366262810A5005431458 @default.
- W4366262810 hasAuthorship W4366262810A5012300839 @default.
- W4366262810 hasAuthorship W4366262810A5024982238 @default.
- W4366262810 hasAuthorship W4366262810A5081891878 @default.
- W4366262810 hasConcept C100001284 @default.
- W4366262810 hasConcept C119857082 @default.
- W4366262810 hasConcept C134560507 @default.
- W4366262810 hasConcept C144133560 @default.
- W4366262810 hasConcept C162324750 @default.
- W4366262810 hasConcept C162853370 @default.
- W4366262810 hasConcept C169760540 @default.
- W4366262810 hasConcept C175444787 @default.
- W4366262810 hasConcept C26760741 @default.
- W4366262810 hasConcept C2776003135 @default.
- W4366262810 hasConcept C2776291640 @default.
- W4366262810 hasConcept C29122968 @default.
- W4366262810 hasConcept C34447519 @default.
- W4366262810 hasConcept C40700 @default.
- W4366262810 hasConcept C41008148 @default.
- W4366262810 hasConcept C556758197 @default.
- W4366262810 hasConcept C8031360 @default.
- W4366262810 hasConcept C84265765 @default.
- W4366262810 hasConcept C86803240 @default.
- W4366262810 hasConceptScore W4366262810C100001284 @default.
- W4366262810 hasConceptScore W4366262810C119857082 @default.
- W4366262810 hasConceptScore W4366262810C134560507 @default.
- W4366262810 hasConceptScore W4366262810C144133560 @default.
- W4366262810 hasConceptScore W4366262810C162324750 @default.
- W4366262810 hasConceptScore W4366262810C162853370 @default.
- W4366262810 hasConceptScore W4366262810C169760540 @default.