IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v111y2017icp68-74.html
   My bibliography  Save this article

How oil price changes affect car use and purchase decisions? Survey evidence from Chinese cities

Author

Listed:
  • Du, Zhili
  • Lin, Boqiang

Abstract

China's automobile sector has entered a period of rapid development, and has resulted in huge oil consumption. Oil price fluctuation will change consumers’ behavior. Understanding how changes in oil price affect the use and purchase of private cars is valuable to formulating price and emissions mitigation policies. In this paper, we use survey data from four cities: Beijing, Shanghai, Guangzhou and Shenzhen, and a total of 715 responses were deemed used for the analyses. The results show that the sensitivity of low-income consumers to oil price is significantly higher than high-income consumers. Compared with low-income consumers, high-income consumers would “Drive Less” only when oil price rise to a higher level. In addition, for the high-income consumers with a potential purchase intention, only when oil price rise to more than 10 Yuan will they change the purchase intension and choose a lower-emission car or as we called “Purchase Lower”.

Suggested Citation

  • Du, Zhili & Lin, Boqiang, 2017. "How oil price changes affect car use and purchase decisions? Survey evidence from Chinese cities," Energy Policy, Elsevier, vol. 111(C), pages 68-74.
  • Handle: RePEc:eee:enepol:v:111:y:2017:i:c:p:68-74
    DOI: 10.1016/j.enpol.2017.09.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421517305748
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2017.09.017?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Garcia, Rene & Lusardi, Annamaria & Ng, Serena, 1997. "Excess Sensitivity and Asymmetries in Consumption: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 154-176, May.
    2. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    3. Yatchew, Adonis & Griliches, Zvi, 1985. "Specification Error in Probit Models," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 134-139, February.
    4. Caulfield, Brian & Farrell, Séona & McMahon, Brian, 2010. "Examining individuals preferences for hybrid electric and alternatively fuelled vehicles," Transport Policy, Elsevier, vol. 17(6), pages 381-387, November.
    5. Wu, Tian & Shang, Zhe & Tian, Xin & Wang, Shouyang, 2016. "How hyperbolic discounting preference affects Chinese consumers’ consumption choice between conventional and electric vehicles," Energy Policy, Elsevier, vol. 97(C), pages 400-413.
    6. Lin, Boqiang & Du, Zhili, 2015. "How China׳s urbanization impacts transport energy consumption in the face of income disparity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1693-1701.
    7. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    8. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    9. Higgins, Christopher D. & Mohamed, Moataz & Ferguson, Mark R., 2017. "Size matters: How vehicle body type affects consumer preferences for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 182-201.
    10. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    11. Nie, Yu (Marco) & Ghamami, Mehrnaz & Zockaie, Ali & Xiao, Feng, 2016. "Optimization of incentive polices for plug-in electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 103-123.
    12. Tullio Jappelli & Luigi Pistaferri, 2000. "The dynamics of household wealth accumulation in Italy," Fiscal Studies, Institute for Fiscal Studies, vol. 21(2), pages 269-295, June.
    13. Shafiei, Ehsan & Thorkelsson, Hedinn & Ásgeirsson, Eyjólfur Ingi & Davidsdottir, Brynhildur & Raberto, Marco & Stefansson, Hlynur, 2012. "An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1638-1653.
    14. Richard Williams, 2010. "Fitting heterogeneous choice models with oglm," Stata Journal, StataCorp LP, vol. 10(4), pages 540-567, December.
    15. Richard Williams, 2009. "Using Heterogeneous Choice Models to Compare Logit and Probit Coefficients Across Groups," Sociological Methods & Research, , vol. 37(4), pages 531-559, May.
    16. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meixia Pan & Wanming Chen & Shengyuan Wang & Xiaolan Wu, 2022. "The Influence of Low Carbon Emission Engine on the Life Cycle of Automotive Products: A Case Study of Three-Cylinder Models in the Chinese Market," Energies, MDPI, vol. 15(18), pages 1-15, September.
    2. Tan, Ruipeng & Tang, Di & Lin, Boqiang, 2018. "Policy impact of new energy vehicles promotion on air quality in Chinese cities," Energy Policy, Elsevier, vol. 118(C), pages 33-40.
    3. Wu, Tian & Wang, Shouyang & Wang, Lining & Tang, Xiao, 2022. "Contribution of China's online car-hailing services to its 2050 carbon target: Energy consumption assessment based on the GCAM-SE model," Energy Policy, Elsevier, vol. 160(C).
    4. Sun, Huiqian & Jing, Peng & Wang, Baihui & Cai, Yunhao & Ye, Jie & Wang, Bichen, 2023. "The effect of record-high gasoline prices on the consumers’ new energy vehicle purchase intention: Evidence from the uniform experimental design," Energy Policy, Elsevier, vol. 175(C).
    5. David Iheke Okorie & Boqiang Lin, 2022. "Crude oil market and Nigerian stocks: An asymmetric information spillover approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4002-4017, October.
    6. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
    7. Yahong Jiang & Qunqi Wu & Min Li & Yulei Gu & Jun Yang, 2023. "What Is Affecting the Popularity of New Energy Vehicles? A Systematic Review Based on the Public Perspective," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    8. Xu, Lei & Chen, Jingrui & Qu, Fang & Wang, Jue & Lu, Yi, 2022. "Queuing to refuel before price rise in China: How do gasoline price changes affect consumer responses and behaviours?," Energy, Elsevier, vol. 253(C).
    9. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    10. Zhang, Chuanguo & Shang, Hongli, 2023. "Asymmetry effect of oil price shocks and the lagging effect of oil price jumps: Evidence from China's automobile markets," Energy Policy, Elsevier, vol. 172(C).
    11. Jain, Prachi & Maitra, Debasish & Kang, Sang Hoon, 2023. "Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk," Energy Economics, Elsevier, vol. 119(C).
    12. Isabella Yunfei Zeng & Jingrui Chen & Ziheng Niu & Qingfei Liu & Tian Wu, 2022. "The GHG Emissions Assessment of Online Car-Hailing Development under the Intervention of Evaluation Policies in China," Sustainability, MDPI, vol. 14(3), pages 1-25, February.
    13. Wang, Yao & Lin, Boqiang & Li, Minyang, 2021. "Is household electricity saving a virtuous circle? A case study of the first-tier cities in China," Applied Energy, Elsevier, vol. 285(C).
    14. Solaymani, Saeed, 2021. "Which government supports are beneficial for the transportation subsectors," Energy, Elsevier, vol. 235(C).

    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. Wixe, Sofia & Nilsson, Pia & Naldi, Lucia & Westlund, Hans, 2017. "Disentangling Innovation in Small Food Firms: The role of External Knowledge, Support, and Collaboration," Working Paper Series in Economics and Institutions of Innovation 446, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Charlie Tchinda & Marcus Dejardin, 2021. "Are Business Policy Measures in Response to the COVID-19 Pandemic to Be Equally Valued? An Exploration According to SMEs Owners’ Business Expectations," Sustainability, MDPI, vol. 13(21), pages 1-42, October.
    3. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    4. Contreras, Dante & Elacqua, Gregory & Martinez, Matías & Miranda, Álvaro, 2016. "Bullying, identity and school performance: Evidence from Chile," International Journal of Educational Development, Elsevier, vol. 51(C), pages 147-162.
    5. Wanger, Susanne, 2017. "What makes employees satisfied with their working time? : The role of working hours, time-sovereignty and working conditions for working time and job satisfaction," IAB-Discussion Paper 201720, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Tutz, G. & Berger, M., 2017. "Separating location and dispersion in ordinal regression models," Econometrics and Statistics, Elsevier, vol. 2(C), pages 131-148.
    7. Sofia Wixe & Pia Nilsson & Lucia Naldi & Hans Westlund, 2023. "The role of collaboration and external knowledge for innovation in small food firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 135-155, February.
    8. Brian P. An & Kia N. Sorensen, 2017. "Family Structure Changes During High School and College Selectivity," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(7), pages 695-722, November.
    9. Paul W. Miller & Barry R. Chiswick, 2002. "Immigrant earnings: Language skills, linguistic concentrations and the business cycle," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 31-57.
    10. Katarzyna Growiec & Jakub Growiec, 2016. "Bridging Social Capital and Individual Earnings: Evidence for an Inverted U," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 601-631, June.
    11. Shweta Bahl & Ajay Sharma, 2021. "Education–Occupation Mismatch and Dispersion in Returns to Education: Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 251-298, January.
    12. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    13. Sebastian Stolorz, 2005. "A Test of the Signalling Hypothesis - Evidence from Natural Experiment," Labor and Demography 0512008, University Library of Munich, Germany.
    14. Schultz, T. Paul, 2009. "The Gender and Generational Consequences of the Demographic Transition and Population Policy: An Assessment of the Micro and Macro Linkages," Working Papers 71, Yale University, Department of Economics.
    15. Emanuela di Gropello, 2006. "Meeting the Challenges of Secondary Education in Latin America and East Asia : Improving Efficiency and Resource Mobilization," World Bank Publications - Books, The World Bank Group, number 7173, December.
    16. Aidis, Ruta & van Praag, Mirjam, 2007. "Illegal entrepreneurship experience: Does it make a difference for business performance and motivation?," Journal of Business Venturing, Elsevier, vol. 22(2), pages 283-310, March.
    17. Benoit Dostie & Pierre Thomas Léger, 2014. "Firm-Sponsored Classroom Training: Is It Worth It for Older Workers?," Canadian Public Policy, University of Toronto Press, vol. 40(4), pages 377-390, December.
    18. Christian Grund & Dirk Sliwka, 2007. "Reference-Dependent Preferences and the Impact of Wage Increases on Job Satisfaction: Theory and Evidence," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 163(2), pages 313-335, June.
    19. Zeng, Jinli & Zhang, Jie, 2022. "Education policies and development with threshold human capital externalities," Economic Modelling, Elsevier, vol. 108(C).
    20. Yi Fan, 2017. "Does Adversity Affect Long-Term Consumption and Financial Behaviour? Evidence from China's Rustication Programme," ERES eres2017_148, European Real Estate Society (ERES).

    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:enepol:v:111:y:2017:i:c:p:68-74. 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/locate/enpol .

    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.