What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons

Lei, Wang; Fu, Zhong-Lin; Wei, Guo; Liang, Ruoyu; Shao, Hu

doi:10.1016/j.enpol.2020.111484

Cited by 69 publications

(20 citation statements)

References 44 publications

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“…e comprehensive cost pricing, which can balance the interests of all parties and ensure the operating income, is more advantageous to promote the development of EVs [22]. In principle, the pricing of the EVs charging station should consider the tripartite interests of the government, operators, and consumers [28]. In [12], based on the Game theory, the authors construct the benefit models of EV operators and consumers in terms of the standard charging stations and the standard EV.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

Yin

Zhang

et al. 2020

Mathematical Problems in Engineering

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Scientific pricing of the electric vehicle charging station is closely related to consumer behavior inevitably. Existing studies have not considered the impacts of consumer differences on the charging price, which will fail to meet the interests of various types of consumers. This paper proposes a novel pricing method based on consumer classification and comprehensive evaluation strategies. First, the basis for consumer classification is established according to a single factor sensitivity analysis of the consumer benefit model; then, the nonlinear expression of the basis is piecewise linearized. Additionally, with the principle of least fitting error to determine consumers’ classification, the initial charging price schemes for various types of consumers are formulated. Second, this paper defines evaluation indices and establishes the hierarchy model for comprehensive evaluation schemes. Finally, the integrated analytic hierarchy process and data envelopment analysis are adopted for comprehensive evaluation of schemes. Simulations results illustrate that the proposed method can formulate the comprehensive optimal charging price considering consumer differences, and the method can reflect the impacts of both subjective and objective factors conveniently and accurately.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

Yin

Zhang

et al. 2020

Mathematical Problems in Engineering

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“…Egbue and Long (2012) found that reliability and safety are among the biggest concerns for respondents in an American technological university. Wang et al (2020) also stress the importance of safety in consumers' purchasing intentions for new energy vehicles. Additionally, spontaneous combustion is the most common safety accident in electric vehicles.…”

Section: Indexes Choice and Research Hypothesesmentioning

confidence: 98%

“…A specific term that arises from it is "range anxiety", defined as the psychological anxiety consumers feel when dealing with the limited range of new energy vehicles and it has been labeled as one of the most pressing obstacles to the adoption of new energy vehicles (Noel et al, 2019). In previous studies, Wang et al (2020) suggest that infrastructure, battery technology, and safety awareness are three main factors influencing the market proportion of new energy vehicles in China by analyzing the comment data in Autohome.com, the most visited professional car website in China. Funke et al (2019) also highlight the deficiencies of charging infrastructure construction in the promotion of new energy vehicles.…”

Section: Indexes Choice and Research Hypothesesmentioning

confidence: 99%

How Does the Consumers’ Attention Affect the Sale Volumes of New Energy Vehicles: Evidence From China’s Market

Jiang

Long²,

Zhang

2021

Front. Energy Res.

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The promotion of new energy vehicles is a grand plan across countries to achieve carbon neutrality and air purification. The sale volume of new energy vehicles is affected by many factors, yet it is the attitude of consumers themselves that has the final decisive role. We use four representative Baidu search indexes as the variables representing the attention of consumers and take variables of economic, population, and income as control variables for regression analysis from the national and sub-economic regional perspectives respectively. Results show that search indexes of “new energy vehiclek.” “new energy vehicles battery”, and ‘charging pile’ all have significant positive impacts on the sales of new energy vehicles to varying degrees while the index of ‘automobile spontaneous combustion’ has a significant negative impact on the sale volume. This study, therefore, verifies that the consumer attention represented by search indexes is an important yet uncovered factor affecting the sale volume of new energy vehicles. Besides, due to people’s prejudice against spontaneous combustion accidents of new energy vehicles, consumers have a cognitive bias about the spontaneous combustion rate of new energy vehicles especially in less developed areas of China.

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“…However, the large number of product portfolios, generated by orthogonal fractional factorial design, will reduce the validity of the utility maximization framework. Wang et al [7] use data mining combined with deep-learning technologies to investigate a large number of purchasing reasons and use correlation analysis to examine the relationship between the sales and the factors.…”

Section: Literature Review 21 Scope Of the Studymentioning

confidence: 99%

How to Improve the Market Penetration of New Energy Vehicles in China: An Agent-Based Model with a Three-Level Variables Structure

Chen

Liu

2021

Sustainability

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This paper develops an agent-based model with linking variables (ABML) to investigate the influencing factors for the new energy vehicles (NEVs) market in China. The ABML is a framework with three-level variables including micro, linking, and macro variables, which can reduce the complexity of the simulation. The emergence from bottom to top occurs between linking and macro variables, while the best–worst scaling describes the mapping between micro and linking variables. In the case study, Rookie, Veteran, and New Generation consumers are assumed as the three types of consumers in China’s market. A specification of the three types of variables is presented, where the value of linking variables obeys uniform distribution. By introducing the population density and the interaction frequency, the number of agents is determined with an experiment. All parameters in the model are estimated by calibrating the realistic vehicle sales. We compare different scenarios and obtain some management insights for improving the market penetration of NEVs in China.

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What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons

Cited by 69 publications

References 44 publications

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

How Does the Consumers’ Attention Affect the Sale Volumes of New Energy Vehicles: Evidence From China’s Market

How to Improve the Market Penetration of New Energy Vehicles in China: An Agent-Based Model with a Three-Level Variables Structure

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