Differences in consumers’ product attribute preferences and willingness to pay for new energy vehicles: A comparison between the license plate- and non-license plate-restricted cities in China

Xiong, Yongqing; Qin, Shufeng

doi:10.1080/15568318.2020.1847369

Cited by 14 publications

(9 citation statements)

References 55 publications

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“…Based on the traffic control of Chinese cities, we divided the 86 pilot cities into 15 license plate‐restricted cities and 71 non‐license plate‐restricted cities (Xiong & Qin, 2022). The control group in the regression process for both types of samples is non‐pilot cities.…”

Section: Analysis Of Mechanism and Heterogeneitymentioning

confidence: 99%

Low‐carbon sustainable development driven by new energy vehicle pilot projects in China: Effects, mechanisms, and spatial spillovers

Cheng,

Xiong

2023

Sustainable Development

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The transport sector, as one of the major carbon‐emitting industries, is under great pressure to reduce carbon emissions against the backdrop of low‐carbon sustainable development. The new energy vehicle (NEV) pilot projects provide an opportunity for China to make strides towards Dual Carbon targets. Based on the panel data of 277 cities in China from 2000 to 2019, this study acquires the time‐varying difference‐in‐difference (DID) method to evaluate the impact of NEV pilot projects on urban CO2 emissions, including the mechanisms, heterogeneity, and spatial spillover effect. The conclusions are as follows. The NEV pilot projects achieve co‐benefits in reducing the total amount and intensity of urban CO2 emissions. The mechanism analysis shows that the NEV pilot projects reduce CO2 emissions by improving energy consumption structure and increasing electric busses. For pilot cities with different resource endowments and traffic pressures, the carbon reduction effects in non‐resource‐based cities and license plate‐restricted cities are more effective. Moreover, considering the geographical distance factor, the NEV pilot projects only have spatial spillover effects on the intensity of CO2 emissions in neighboring cities. These results contribute to clarifying the carbon reduction potential of NEVs and providing references for other developing countries to carry out decarbonization in the transportation industry.

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Section: Analysis Of Mechanism and Heterogeneitymentioning

confidence: 99%

Low‐carbon sustainable development driven by new energy vehicle pilot projects in China: Effects, mechanisms, and spatial spillovers

Cheng,

Xiong

2023

Sustainable Development

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“…Therefore, it is essential to understand the factors that influence consumer preferences and willingness to pay (WTP) for NEV attributes, as these factors are instrumental in shaping the market demand for NEVs [11,12]. Furthermore, analysis of preference heterogeneity is particularly valuable for policymakers and NEV manufacturers, enabling them to design targeted policy incentives and develop NEV attributes that cater to customers' preferences and WTP [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…The consistent findings reveal that functional attributes such as price, range, charging infrastructure, and charging time, significantly influence NEV utility. Moreover, consumers are willing to pay a premium for these attributes [12][13][14][20][21][22][23][24][25]. However, limited attention has been paid to preference heterogeneity, which refers to the difference in perceived value of identical vehicle attributes among different consumer groups [26,27].…”

Section: Introductionmentioning

confidence: 99%

“…In terms of observed preference heterogeneity, Xiong and Qin [14] focused on the difference in consumers' WTP between cities with vehicle restrictions and those without, concluding that driving restrictions significantly influence consumer preference heterogeneity. Huang and Qian [26] investigated preference heterogeneity for EV attributes among cities of different tiers, finding that consumers in smaller cities exhibit a stronger preference for monetary and functional attributes of EVs.…”

Section: Introductionmentioning

confidence: 99%

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Identifying Heterogeneous Willingness to Pay for New Energy Vehicles Attributes: A Discrete Choice Experiment in China

Han,

Sun

2024

Sustainability

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New energy vehicles (NEVs) have emerged as a promising solution to reduce carbon emissions and address environmental concerns in the transportation sector. In order to effectively accelerate market acceptance, it is crucial to prioritize the heterogeneity of consumer preferences for NEV attributes. This study employs the multinomial logit model (MNL) and latent class model (LCM) to investigate both observed and unobserved preference heterogeneity based on stated preferences obtained from a discrete choice experiment conducted across seven cities in China. Results from the MNL model indicate that all attributes significantly influence alternative utility. In particular, there are differences in the willingness to pay (WTP) for attributes of battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Analysis of MNL subgroups reveals observed heterogeneity in WTP for identical attributes among consumers from regions with different latitudes and markets with different NEV penetration rates. Furthermore, the LCM model uncovers unobserved preference heterogeneity by classifying respondents into four distinct classes and identifies specific socioeconomic variables associated with each class. The recognition of heterogeneous WTP for NEV attributes across vehicle types, regions, markets, and consumer classes provides important implications for formulating targeted policies that promote the sustainable development of the NEV industry.

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“…Siomkos and Kurzbard (1994) defined product harm crises as “accidental, well‐known and related events with a certain degree of harm.” In the context of new energy vehicles, a product harm crisis refers to the existence of defects or damage in the vehicles. When a crisis occurs, new energy vehicle enterprises or companies that suffer from the crisis adopt the strategy of product recall to deal with the situation (Xiong & Qin, 2022). Therefore, given China's role as the backbone of automobile production, the output and quality of its vehicles are continually increasing.…”

Section: Introductionmentioning

confidence: 99%

Impact of information processing on purchase intention in new energy vehicle product harm crises

Zhu,

Chen,

Zeng

2023

Contingencies & Crisis Mgmt

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Within the increasingly complex and changeable market environment of new energy vehicles, consumers' attention to product safety has increased significantly, and higher, updated requirements are put forward at the level of product safety. Simultaneously, a product harm crisis, which often entails product recalls, can lead to consumer concerns regarding product specifications and security. Based on the heuristic‐systematic model, this study verified the effect of information processing on the vehicle purchase intention of consumers during crisis situations and conducted an empirical study through questionnaires and structural equation modelling. The data obtained in this study presents the following relationships: (1) risk perception has a significant and positive influence on information search and systematic processing but a negative influence on heuristic processing; (2) heuristic processing and systematic processing have a significant and positive influence on purchase intention; (3) information search has a significant and positive influence on heuristic processing and systematic processing. The study can offer a relevant basis and suggestions for risk communication of new energy vehicle enterprises, thereby fundamentally improving consumer loyalty.

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Differences in consumers’ product attribute preferences and willingness to pay for new energy vehicles: A comparison between the license plate- and non-license plate-restricted cities in China

Cited by 14 publications

References 55 publications

Low‐carbon sustainable development driven by new energy vehicle pilot projects in China: Effects, mechanisms, and spatial spillovers

Low‐carbon sustainable development driven by new energy vehicle pilot projects in China: Effects, mechanisms, and spatial spillovers

Identifying Heterogeneous Willingness to Pay for New Energy Vehicles Attributes: A Discrete Choice Experiment in China

Impact of information processing on purchase intention in new energy vehicle product harm crises

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