Impact of government incentives on the market penetration of electric vehicles in Australia
By S. Gong, A. Ardeshiri, T. Rashidi. Transportation Research Part D: Transport and Environment, 2020
138 citations recorded by the source corpus.
Abstract Incentives to buy and use electric vehicles (EVs) may influence individuals’ decisions to do so. To examine these impacts, a latent class discrete choice model is developed to analyse consumer preferences related to EV attributes and related government incentives. Data was collected from a stated preference survey of 1,076 residents of New South Wales (NSW), Australia. According to the results, the proposed latent constructs classify respondents into five segments. The segments are then used to distinguish respondent behaviours regarding EV attributes and related government incentives. The results show that rebate on the upfront cost of an EV is the most preferred one-off financial incentive, because EVs are expected to be expensive, especially in Australia which has a very small EV market at present. Furthermore, rebates on energy bills and parking fees are also well-received, as these things are expensive in Sydney, Australia. Thus, operational incentives for discounts on energy bills and parking fees may facilitate the success of EVs in NSW.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/df9d6c6a405ab644576c54603a9bb1b052c1f234
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Alok Raj
- Rajeev Ranjan Kumar
- Prateek Bansal
- Daniel J. Graham
- Subodh K. Dubey
- Robert B. Noland
- D. Chatman
- R. Vickerman
In Electrical and Electronic Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles (2021, background): “LC-MNL identifies consumer segments based on their attitudes and socio-demographic characteristics, while jointly estimating segment proportions and segmentspecific WTP (Ardeshiri and Rashidi, 2020; Hidrue et al., 2011).”