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Carbon literacy, switching cost, and consumer choice: Evidence from the new energy vehicle purchase analysis

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  • Liu, Yang
  • Yang, Yugang

Abstract

Household carbon emissions account for a significant proportion of the national total emissions. Using a unique nation-wide survey data (CRECS) in 2022, this paper estimates the impact of carbon literacy on individual low-carbon consumption intentions and behavior by using the instrumental variable. Taking new Energy vehicle purchase as an example and we find that: first, carbon literacy only has a significant positive effect on purchase intentions, and does not have a significant effect on purchase behavior; and when the carbon literacy score increases by every 1 point, the individual purchase intentions will significantly increase by 0.224; second, the impact of carbon literacy on low-carbon consumption intentions is different cross education levels, regions and occupation types in China; finally, the difference between effect of carbon literacy on purchase intentions and behavior can be explained by the switching cost. The government ought to intensify efforts to enhance residents' carbon literacy and mitigate potential switching costs in order to foster low-carbon development.

Suggested Citation

  • Liu, Yang & Yang, Yugang, 2025. "Carbon literacy, switching cost, and consumer choice: Evidence from the new energy vehicle purchase analysis," Energy Policy, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:enepol:v:198:y:2025:i:c:s0301421524004981
    DOI: 10.1016/j.enpol.2024.114478
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    as
    1. Fredrik Carlsson & Åsa Lofgren, 2006. "Airline choice, switching costs and frequent flyer programmes," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1469-1475.
    2. Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.
    3. Hung Vu Nguyen & Cuong Hung Nguyen & Thoa Thi Bao Hoang, 2019. "Green consumption: Closing the intention‐behavior gap," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(1), pages 118-129, January.
    4. Zhaohua Wang & Xiaoyang Dong, 2016. "Determinants and policy implications of residents’ new energy vehicle purchases: the evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 155-173, May.
    5. Chun‐Yu Ho, 2015. "Switching Cost And Deposit Demand In China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(3), pages 723-749, August.
    6. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    7. Matthew J. Beck & John M. Rose & Stephen P. Greaves, 2017. "I can’t believe your attitude: a joint estimation of best worst attitudes and electric vehicle choice," Transportation, Springer, vol. 44(4), pages 753-772, July.
    8. Diana Ivanova & Konstantin Stadler & Kjartan Steen-Olsen & Richard Wood & Gibran Vita & Arnold Tukker & Edgar G. Hertwich, 2016. "Environmental Impact Assessment of Household Consumption," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 526-536, June.
    9. Ding, Zhihua & Wang, Guangqiang & Liu, Zhenhua & Long, Ruyin, 2017. "Research on differences in the factors influencing the energy-saving behavior of urban and rural residents in China–A case study of Jiangsu Province," Energy Policy, Elsevier, vol. 100(C), pages 252-259.
    10. Didem Demirhan & Varghese S. Jacob & Srinivasan Raghunathan, 2007. "Strategic IT Investments: The Impact of Switching Cost and Declining IT Cost," Management Science, INFORMS, vol. 53(2), pages 208-226, February.
    11. Paul Klemperer, 1995. "Competition when Consumers have Switching Costs: An Overview with Applications to Industrial Organization, Macroeconomics, and International Trade," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 515-539.
    12. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
    13. Yang, Shu & Zhang, Yanbing & Zhao, Dingtao, 2016. "Who exhibits more energy-saving behavior in direct and indirect ways in china? The role of psychological factors and socio-demographics," Energy Policy, Elsevier, vol. 93(C), pages 196-205.
    14. Tore Nilssen, 1992. "Two Kinds of Consumer Switching Costs," RAND Journal of Economics, The RAND Corporation, vol. 23(4), pages 579-589, Winter.
    15. Tara Mitchell, 2017. "Is Knowledge Power? Information and Switching Costs in Agricultural Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1307-1326.
    16. Gambhir, Ajay & Tse, Lawrence K.C. & Tong, Danlu & Martinez-Botas, Ricardo, 2015. "Reducing China’s road transport sector CO2 emissions to 2050: Technologies, costs and decomposition analysis," Applied Energy, Elsevier, vol. 157(C), pages 905-917.
    17. Ivan K. W. Lai & Yide Liu & Xinbo Sun & Hao Zhang & Weiwei Xu, 2015. "Factors Influencing the Behavioural Intention towards Full Electric Vehicles: An Empirical Study in Macau," Sustainability, MDPI, vol. 7(9), pages 1-22, September.
    18. Kevin Marechal & Nathalie Lazaric, 2010. "Overcoming inertia: insights from evolutionary economics into improved energy and climate policies," Climate Policy, Taylor & Francis Journals, vol. 10(1), pages 103-119, January.
    19. Cheng, Xiu & Long, Ruyin & Chen, Hong, 2020. "A policy utility dislocation model based on prospect theory: A case study of promoting policies with low-carbon lifestyle," Energy Policy, Elsevier, vol. 137(C).
    20. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    21. Pothitou, Mary & Hanna, Richard F. & Chalvatzis, Konstantinos J., 2016. "Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study," Applied Energy, Elsevier, vol. 184(C), pages 1217-1229.
    22. George E. Newman & Margarita Gorlin & Ravi Dhar, 2014. "When Going Green Backfires: How Firm Intentions Shape the Evaluation of Socially Beneficial Product Enhancements," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(3), pages 823-839.
    23. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    24. Chun‐Yu Ho, 2015. "Switching Cost And Deposit Demand In China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 723-749, August.
    25. Carrington, Michal J. & Neville, Benjamin A. & Whitwell, Gregory J., 2014. "Lost in translation: Exploring the ethical consumer intention–behavior gap," Journal of Business Research, Elsevier, vol. 67(1), pages 2759-2767.
    26. Soregaroli, Claudio & Ricci, Elena Claire & Stranieri, Stefanella & Nayga, Rodolfo M. & Capri, Ettore & Castellari, Elena, 2021. "Carbon footprint information, prices, and restaurant wine choices by customers: A natural field experiment," Ecological Economics, Elsevier, vol. 186(C).
    27. Nathalie Lazaric & Kevin Maréchal, 2010. "Overcoming inertia: insights from evolutionary economics into improved energy and climate policy," Post-Print hal-00452205, HAL.
    28. Xie, Pinjie & Gong, Ningyu & Sun, Feihu & Li, Pin & Pan, Xianyou, 2023. "What factors contribute to the extent of decoupling economic growth and energy carbon emissions in China?," Energy Policy, Elsevier, vol. 173(C).
    29. Chia-Wei Liu & Jen-Son Cheng, 2022. "Low-Carbon Literacy of Exhibitors in the Exhibition Industry in China," Sustainability, MDPI, vol. 14(4), pages 1-13, February.
    30. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    31. Yi, Wenjing & Yan, Jie, 2020. "Energy consumption and emission influences from shared mobility in China: A national level annual data analysis," Applied Energy, Elsevier, vol. 277(C).
    32. Axsen, Jonn & Orlebar, Caroline & Skippon, Stephen, 2013. "Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study," Ecological Economics, Elsevier, vol. 95(C), pages 96-107.
    33. Bai, Yin & Liu, Yong, 2013. "An exploration of residents’ low-carbon awareness and behavior in Tianjin, China," Energy Policy, Elsevier, vol. 61(C), pages 1261-1270.
    34. Jones, Michael A. & Mothersbaugh, David L. & Beatty, Sharon E., 2002. "Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes," Journal of Business Research, Elsevier, vol. 55(6), pages 441-450, June.
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