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The Impact of Subsidies and Charging Facilities on Demand for Electric Vehicles in China

机译:补贴和充电设施对中国电动汽车需求的影响

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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.
机译:中国政府宣布了一项试行计划,规定在五个城市私人购买新的电池驱动电动汽车(EV)以及插电式混合动力汽车。我们使用来自中国潜在购车者的调查数据,研究了这些补贴和充电设施对电动汽车需求的潜在影响。在对可能鼓励家庭采用电动汽车的因素和激励措施的理解基础上,将有助于改善政策干预措施。数据收集基于实验设计和通过互联网调查确定的选择方法。选择的替代品包括常规汽油,插电式混合动力车和纯电动汽车。除了补贴和收费设施,我们还研究了常见车辆属性的影响,例如购买价格,续航里程,加油时间和社会人口统计学影响。应用多项式logit(MNL)模型,我们发现补贴将极大地鼓励家庭选择插电式混合动力汽车或电动汽车。与纯电动汽车相比,目前中国人更愿意接受插电式混合动力汽车。与价格因素相比,当家庭考虑采用电动汽车时,充电设施不再是问题。根据估计的参数计算支付意愿和市场份额模拟,以进行进一步分析。

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