IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v171y2025icp1064-1075.html

Buy or lease the battery? Understanding consumers’ non-compensatory and heterogeneous preferences for electric bicycle business models

Author

Listed:
  • Ning, Jiang
  • Chen, Jingxu
  • Liu, Xize
  • Chen, Xuewu
  • Yu, Boning

Abstract

The rapid growth of the electric bicycle (e-bike) market has sparked the emergence of innovative business models, notably the battery-leasing model (BLM) as an alternative to the conventional buying model (CBM). Although BLM holds promise for meeting diverse consumer demands, its viability hinges on unclear preferences between competing business models. This study investigates consumers’ heterogeneous preferences between CBM and BLM using stated choice experiments conducted in China, focusing on their non-compensatory behaviors. First, the latent class model identifies two distinct consumer groups: the CBM-preference subgroup (70.9 %) and the BLM-preference subgroup (29.1 %), with the latter exhibiting higher awareness of BLM and valuing its benefits. Subsequently, the latent class model with attribute cut-offs further reveals non-compensatory behavior. Overall sample attribute thresholds (i.e., cut-offs) reveal that 47.6 % of respondents require BLM purchase costs at least 20 % below CBM’s, while only 27.4 % accept 50 % higher operating costs than CBM. However, the attribute cut-offs differ significantly between the groups: the BLM-preference subgroup require a smaller average purchase cost discount than the CBM-preference subgroup (500 CNY vs. 800 CNY) and tolerate a larger annual operating cost increase (360 CNY vs. 120 CNY). When these cut-off values are exceeded, the probability of consumers choosing BLM decreases significantly, particularly among the CBM-preference subgroup. Additionally, the BLM-preference subgroup shows less concern about the cut-off for the distance to a battery swapping station. These findings enable operators to evaluate BLM’s viability from a consumer perspective and offer valuable insights into the sustainable development of innovative business models.

Suggested Citation

  • Ning, Jiang & Chen, Jingxu & Liu, Xize & Chen, Xuewu & Yu, Boning, 2025. "Buy or lease the battery? Understanding consumers’ non-compensatory and heterogeneous preferences for electric bicycle business models," Transport Policy, Elsevier, vol. 171(C), pages 1064-1075.
  • Handle: RePEc:eee:trapol:v:171:y:2025:i:c:p:1064-1075
    DOI: 10.1016/j.tranpol.2025.07.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X25002677
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2025.07.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mattia Bianchi & Anthony Di Benedetto & Simone Franzò & Federico Frattini, 2017. "Selecting early adopters to foster the diffusion of innovations in industrial markets," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 20(4), pages 620-644, June.
    2. Huang, Youlin & Qian, Lixian & Soopramanien, Didier & Tyfield, David, 2021. "Buy, lease, or share? Consumer preferences for innovative business models in the market for electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Scorrano, Mariangela & Rotaris, Lucia, 2022. "The role of environmental awareness and knowledge in the choice of a seated electric scooter," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 333-347.
    4. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    5. Zha, Donglan & Yang, Guanglei & Wang, Wenzhong & Wang, Qunwei & Zhou, Dequn, 2020. "Appliance energy labels and consumer heterogeneity: A latent class approach based on a discrete choice experiment in China," Energy Economics, Elsevier, vol. 90(C).
    6. Bohnsack, René & Pinkse, Jonatan & Kolk, Ans, 2014. "Business models for sustainable technologies: Exploring business model evolution in the case of electric vehicles," Research Policy, Elsevier, vol. 43(2), pages 284-300.
    7. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
    8. Swait, Joffre, 2001. "A non-compensatory choice model incorporating attribute cutoffs," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 903-928, November.
    9. Glenn Bush & Sergio Colombo & Nick Hanley, 2009. "Should all Choices Count? Using the Cut-Offs Approach to Edit Responses in a Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(3), pages 397-414, November.
    10. Zhu, Lichao & Song, Qingbin & Sheng, Ni & Zhou, Xiu, 2019. "Exploring the determinants of consumers’ WTB and WTP for electric motorcycles using CVM method in Macau," Energy Policy, Elsevier, vol. 127(C), pages 64-72.
    11. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    12. Mallikarjun Patil & Bandhan Bandhu Majumdar & Prasanta Kumar Sahu & Long T. Truong, 2021. "Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    13. Philips, Ian & Anable, Jillian & Chatterton, Tim, 2022. "E-bikes and their capability to reduce car CO2 emissions," Transport Policy, Elsevier, vol. 116(C), pages 11-23.
    14. Iogansen, Xiatian & Wang, Kailai & Bunch, David & Matson, Grant & Circella, Giovanni, 2023. "Deciphering the factors associated with adoption of alternative fuel vehicles in California: An investigation of latent attitudes, socio-demographics, and neighborhood effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    15. Andrea Belén Arditi & María Isabel Camio & Luciano Velazquez & Fernando Errandosoro, 2023. "Early adoption of Industry 4.0 technologies in the agricultural sector: A phenomenological analysis," Journal of the International Council for Small Business, Taylor & Francis Journals, vol. 4(3), pages 230-257, July.
    16. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    17. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    18. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    19. Reinhardt, Ronny & Gurtner, Sebastian, 2015. "Differences between early adopters of disruptive and sustaining innovations," Journal of Business Research, Elsevier, vol. 68(1), pages 137-145.
    20. Bhat, Furqan A. & Verma, Ashish, 2024. "Electric two-wheeler adoption in India – A discrete choice analysis of motivators and barriers affecting the potential electric two-wheeler buyers," Transport Policy, Elsevier, vol. 152(C), pages 118-131.
    21. Huo, Jinghai & Kim, Eui-Jin & Bansal, Prateek, 2024. "Understanding consumers’ non-compensatory and heterogeneous preferences for electric vehicles," Energy Policy, Elsevier, vol. 192(C).
    22. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2019. "Consumer preferences for business models in electric vehicle adoption," Transport Policy, Elsevier, vol. 73(C), pages 12-24.
    23. Kley, Fabian & Lerch, Christian & Dallinger, David, 2011. "New business models for electric cars--A holistic approach," Energy Policy, Elsevier, vol. 39(6), pages 3392-3403, June.
    24. Chakraborty, Rahul & Chakravarty, Sujoy, 2023. "Factors affecting acceptance of electric two-wheelers in India: A discrete choice survey," Transport Policy, Elsevier, vol. 132(C), pages 27-41.
    25. Ozgur Dedehayir & Roland J. Ortt & Carla Riverola & Francesc Miralles, 2017. "Innovators And Early Adopters In The Diffusion Of Innovations: A Literature Review," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-27, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Fan & Lv, Huitao & Kuai, Chenchen & Feng, Tao, 2025. "The battery-swapping revolution: Exploring user preferences in electric micro-mobility sector," Transportation Research Part A: Policy and Practice, Elsevier, vol. 194(C).
    2. Huang, Youlin & Qian, Lixian, 2021. "Consumer adoption of electric vehicles in alternative business models," Energy Policy, Elsevier, vol. 155(C).
    3. Bhat, Furqan A. & Verma, Ashish, 2024. "Electric two-wheeler adoption in India – A discrete choice analysis of motivators and barriers affecting the potential electric two-wheeler buyers," Transport Policy, Elsevier, vol. 152(C), pages 118-131.
    4. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
    5. Huo, Jinghai & Kim, Eui-Jin & Bansal, Prateek, 2024. "Understanding consumers’ non-compensatory and heterogeneous preferences for electric vehicles," Energy Policy, Elsevier, vol. 192(C).
    6. Du, Hua & Han, Qi & de Vries, Bauke & Sun, Jun, 2024. "Community solar PV adoption in residential apartment buildings: A case study on influencing factors and incentive measures in Wuhan," Applied Energy, Elsevier, vol. 354(PA).
    7. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    8. Olsthoorn, Mark & Schleich, Joachim & Guetlein, Marie-Charlotte & Durand, Antoine & Faure, Corinne, 2023. "Beyond energy efficiency: Do consumers care about life-cycle properties of household appliances?," Energy Policy, Elsevier, vol. 174(C).
    9. Jourdain, Damien & Lairez, Juliette & Striffler, Bruno & Lundhede, Thomas, 2022. "A choice experiment approach to evaluate maize farmers’ decision-making processes in Lao PDR," Journal of choice modelling, Elsevier, vol. 44(C).
    10. Khakdaman, Masoud & Rezaei, Jafar & Tavasszy, Lóránt A., 2020. "Shippers’ willingness to delegate modal control in freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    11. Furqan A. Bhat & Ashish Verma, 2025. "Consumer intention to accept electric two-wheelers in India: a valence theory approach to unveil the role of identity and utility," Transportation, Springer, vol. 52(2), pages 537-577, April.
    12. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    13. Vega, Amaya & Feo-Valero, Maria & Espino-Espino, Raquel, 2018. "The potential impact of Brexit on Ireland's demand for shipping services to continental Europe," Transport Policy, Elsevier, vol. 71(C), pages 1-13.
    14. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    15. María Feo-Valero & Leandro García-Menéndez & Salvador Saz-Salazar, 2016. "Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment," Transportation, Springer, vol. 43(1), pages 101-122, January.
    16. María Feo-Valero & Leandro García-Menéndez & Salvador del Saz-Salazar, 2016. "Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment," Transportation, Springer, vol. 43(1), pages 101-122, January.
    17. Damien Jourdain & Juliette Lairez & Bruno Striffler & Thomas Lundhede, 2022. "A choice experiment approach to evaluate maize farmers’ decision-making processes in Lao PDR," Post-Print hal-03737618, HAL.
    18. Benzidia, Smaïl & Luca, Ruxandra Monica & Boiko, Sergiy, 2021. "Disruptive innovation, business models, and encroachment strategies: Buyer's perspective on electric and hybrid vehicle technology," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    19. Huang, Youlin & Qian, Lixian & Soopramanien, Didier & Tyfield, David, 2021. "Buy, lease, or share? Consumer preferences for innovative business models in the market for electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    20. Vasco Simões & Leandro Pereira & Álvaro Dias, 2023. "Enhancing Sustainable Business Models for Green Transportation," Sustainability, MDPI, vol. 15(9), pages 1-22, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:171:y:2025:i:c:p:1064-1075. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.