The Impact of Subsidies and Charging Facilities on Demand for Electric Vehicles in China
Bibliographic Data
| ID | 20404643 |
|---|---|
| Authors | Shaohui Ma (0000-0002-5264-6343, Jiangsu University of Science and Technology, corresponding author), Pingping Gao (0000-0002-7689-2151, Jiangsu University of Science and Technology), Hui Tan (0000-0002-6604-0852, Jiangsu University of Science and Technology) |
| Year | 2017 |
| Volume | 8 |
| Issue | 2 |
| Pages | 230-242 |
| Publication date | 2017-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Urbanization Asia (JOURNAL) |
| Journal identifiers | ISSN: 0975-4253 • E-ISSN: 0976-3546 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0975425317716679 |
| OpenAlex | W2746898769 |
| Language | EN |
| Citations received | 2 |
| References cited | 15 |
The Chinese government has announced a trial programme to provide for private purchase of new battery-operated electric vehicles (EVs) and for plug-in hybrids in five cities. We investigate the potential impact of these subsidies and charging facilities on demand for EVs, using data from a survey of potential car buyers in China. Building on the understanding of factors and incentives that would likely encourage households to adopt EVs would help to improve policy interventions. Data collection is based on experimental design and stated choice methods through an Internet survey. Choice alternatives include a conventional gasoline, a plug-in hybrid and a pure electrical vehicle. In addition to subsidy and charging facilities, we also investigate the impact of common vehicle attributes such as purchase price, cruising range, refuelling time and the socio-demographic effect. Applying a multinomial logit (MNL) model, we find that subsidies would significantly encourage households to choose a plug-in hybrid or an EV. Compared to pure EVs, people in China are more willing to accept plug-in hybrids at present. Compared to the price factors, charging facilities are less of a concern when households consider the adoption of an EV. Willingness-to-pay and market share simulation are computed based on the estimated parameters for further analysis
Business · China · Economics · Electric vehicle · Environmental economics · Incentive · Logistic regression · Microeconomics · Mixed logit · Multinomial logistic regression · Subsidy · Survey data collection · Willingness to pay · Computer Science · Economic and Environmental Valuation · Electric Vehicles and Infrastructure · Energy, Environment, and Transportation Policies
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2022 - 2023 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |