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    Rights statement: This is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 2021 DOI: 10.1016/j.techfore.2021.120687

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On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China

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On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China. / Huang, Youlin; Qian, Lixian; Tyfield, David; Soopramanien, Didier.

In: Technological Forecasting and Social Change, Vol. 167, 30.06.2021.

Research output: Contribution to journalJournal articlepeer-review

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Huang, Youlin ; Qian, Lixian ; Tyfield, David ; Soopramanien, Didier. / On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China. In: Technological Forecasting and Social Change. 2021 ; Vol. 167.

Bibtex

@article{ccb98875574342a2aede604c70d68a45,
title = "On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China",
abstract = "China is currently the world{\textquoteright}s biggest electric vehicle (EV) market, in which mostly mature consumers in first-tier cities are buying EVs. However, the changing market and policy environment are challenging the sustainability of this trend. This study conducts a nationwide stated preference (SP) experiment in China to examine preference heterogeneity towards EVs across (1) different generations and (2) different tiers of cities. Discrete choice analysis reveals that the tier of cities has a significant effect on adoption preferences for EVs. Surprisingly, consumers in smaller cities exhibit stronger preference for EVs, while an insignificant difference in preference is found between consumers of different generations. The interaction effect between the tier of cities and the generations further demonstrates that younger consumers in small cities most prefer EVs. This can be explained by their evaluations of the psychosocial advantages of EVs and their aspiration for a future of EV-based mobility. This research contributes to the broad literature of technology adoption, but more specifically, the research offers new insights on consumers{\textquoteright} EV preference heterogeneity with respect to geographic and demographic dimensions. The study has important business and policy implications relating to the EV transition in China in consideration of the two tested dimensions.",
keywords = "electric vehicles, generation, city, preference heterogeneity, China",
author = "Youlin Huang and Lixian Qian and David Tyfield and Didier Soopramanien",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 2021 DOI: 10.1016/j.techfore.2021.120687",
year = "2021",
month = feb,
day = "24",
doi = "10.1016/j.techfore.2021.120687",
language = "English",
volume = "167",
journal = "Technological Forecasting and Social Change",
issn = "0040-1625",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - On the heterogeneity in consumer preferences for electric vehicles across generations and cities in China

AU - Huang, Youlin

AU - Qian, Lixian

AU - Tyfield, David

AU - Soopramanien, Didier

N1 - This is the author’s version of a work that was accepted for publication in Technological Forecasting and Social Change. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Technological Forecasting and Social Change, 2021 DOI: 10.1016/j.techfore.2021.120687

PY - 2021/2/24

Y1 - 2021/2/24

N2 - China is currently the world’s biggest electric vehicle (EV) market, in which mostly mature consumers in first-tier cities are buying EVs. However, the changing market and policy environment are challenging the sustainability of this trend. This study conducts a nationwide stated preference (SP) experiment in China to examine preference heterogeneity towards EVs across (1) different generations and (2) different tiers of cities. Discrete choice analysis reveals that the tier of cities has a significant effect on adoption preferences for EVs. Surprisingly, consumers in smaller cities exhibit stronger preference for EVs, while an insignificant difference in preference is found between consumers of different generations. The interaction effect between the tier of cities and the generations further demonstrates that younger consumers in small cities most prefer EVs. This can be explained by their evaluations of the psychosocial advantages of EVs and their aspiration for a future of EV-based mobility. This research contributes to the broad literature of technology adoption, but more specifically, the research offers new insights on consumers’ EV preference heterogeneity with respect to geographic and demographic dimensions. The study has important business and policy implications relating to the EV transition in China in consideration of the two tested dimensions.

AB - China is currently the world’s biggest electric vehicle (EV) market, in which mostly mature consumers in first-tier cities are buying EVs. However, the changing market and policy environment are challenging the sustainability of this trend. This study conducts a nationwide stated preference (SP) experiment in China to examine preference heterogeneity towards EVs across (1) different generations and (2) different tiers of cities. Discrete choice analysis reveals that the tier of cities has a significant effect on adoption preferences for EVs. Surprisingly, consumers in smaller cities exhibit stronger preference for EVs, while an insignificant difference in preference is found between consumers of different generations. The interaction effect between the tier of cities and the generations further demonstrates that younger consumers in small cities most prefer EVs. This can be explained by their evaluations of the psychosocial advantages of EVs and their aspiration for a future of EV-based mobility. This research contributes to the broad literature of technology adoption, but more specifically, the research offers new insights on consumers’ EV preference heterogeneity with respect to geographic and demographic dimensions. The study has important business and policy implications relating to the EV transition in China in consideration of the two tested dimensions.

KW - electric vehicles

KW - generation

KW - city

KW - preference heterogeneity

KW - China

U2 - 10.1016/j.techfore.2021.120687

DO - 10.1016/j.techfore.2021.120687

M3 - Journal article

VL - 167

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

SN - 0040-1625

ER -