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As a Chinese saying goes, ‘To get rich, first pave the way’: The opening of high-speed rail and automobile consumption in China

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  • Yuan, Liang
  • Fan, Xiaoming

Abstract

The impact of high-speed rail (HSR) opening on residents' automobile consumption behavior is an economic issue that deserves attention. Based on monthly data on the opening of high-speed rail and the registration of automobiles in China's prefecture-level cities from 2008 to 2015, this paper uses the quasinatural experiment of high-speed rail opening, and the time-varying difference-differences (DID) method is used to analyze the impact and mechanism of the opening of China's high-speed rail on the automobile consumption behavior of consumers in prefecture-level cities. These research results show that the opening of high-speed rails significantly promotes consumers' purchase of automobiles. Specifically, it has a significant impact on the vehicle's brand (prefer joint venture brands) and color (prefer hue automobiles) as well as the payment method (prefer full payment). Furthermore, the expected increase in residents' income due to the opening of high-speed rail stimulates the sense of financial well-being (mediating mechanism), which in turn has an impact on the abovementioned automobile consumption behavior. These novel findings have a positive impact and significance on the national high-speed rail strategy, consumers' well-being, and the production and marketing strategies of automobile companies.

Suggested Citation

  • Yuan, Liang & Fan, Xiaoming, 2023. "As a Chinese saying goes, ‘To get rich, first pave the way’: The opening of high-speed rail and automobile consumption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:joreco:v:73:y:2023:i:c:s0969698923001200
    DOI: 10.1016/j.jretconser.2023.103373
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    as
    1. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    2. Wenjie Wu & Siqi Zheng & Bing Wang & Minzhe Du, 2020. "Impacts of rail transit access on land and housing values in China: a quantitative synthesis," Transport Reviews, Taylor & Francis Journals, vol. 40(5), pages 629-645, July.
    3. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    4. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
    6. Cao, Jing & Liu, Xiaoyue Cathy & Wang, Yinhai & Li, Qingquan, 2013. "Accessibility impacts of China’s high-speed rail network," Journal of Transport Geography, Elsevier, vol. 28(C), pages 12-21.
    7. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    8. Li, Hongchang & Wang, Kun & Yu, Kemei & Zhang, Anming, 2020. "Are conventional train passengers underserved after entry of high-speed rail?-Evidence from Chinese intercity markets," Transport Policy, Elsevier, vol. 95(C), pages 1-9.
    9. Mark Roberts & Martin Melecky & Théophile Bougna & Yan (Sarah) Xu, 2020. "Transport corridors and their wider economic benefits: A quantitative review of the literature," Journal of Regional Science, Wiley Blackwell, vol. 60(2), pages 207-248, March.
    10. Liu, Shuli & Wan, Yulai & Zhang, Anming, 2020. "Does China’s high-speed rail development lead to regional disparities? A network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 299-321.
    11. Michael Fritsch & Viktor Slavtchev, 2011. "Determinants of the Efficiency of Regional Innovation Systems," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 905-918.
    12. Masayuki Kudamatsu, 2012. "Has Democratization Reduced Infant Mortality In Sub-Saharan Africa? Evidence From Micro Data," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1294-1317, December.
    13. van Praag, B. M. S. & Frijters, P. & Ferrer-i-Carbonell, A., 2003. "The anatomy of subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 29-49, May.
    14. Brüggen, Elisabeth C. & Hogreve, Jens & Holmlund, Maria & Kabadayi, Sertan & Löfgren, Martin, 2017. "Financial well-being: A conceptualization and research agenda," Journal of Business Research, Elsevier, vol. 79(C), pages 228-237.
    15. Loewenstein, George, 1996. "Out of Control: Visceral Influences on Behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 65(3), pages 272-292, March.
    16. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    17. Richard G Netemeyer & Dee Warmath & Daniel Fernandes & John G LynchJr. & Eileen FischerEditor & Olivier ToubiaAssociate Editor, 2018. "How Am I Doing? Perceived Financial Well-Being, Its Potential Antecedents, and Its Relation to Overall Well-Being," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 45(1), pages 68-89.
    18. Junmei Cheng & Zhenhua Chen, 2022. "Socioeconomic impact assessments of high-Speed rail: A meta-Analysis," Transport Reviews, Taylor & Francis Journals, vol. 42(4), pages 467-502, July.
    19. Michael S. Finke & John S. Howe & Sandra J. Huston, 2017. "Old Age and the Decline in Financial Literacy," Management Science, INFORMS, vol. 63(1), pages 213-230, January.
    20. Lawrence E. Williams & Randy Stein & Laura Galguera, 2014. "The Distinct Affective Consequences of Psychological Distance and Construal Level," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(6), pages 1123-1138.
    21. Xavier Giroud, 2013. "Proximity and Investment: Evidence from Plant-Level Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 861-915.
    22. Li, Hongchang & Strauss, Jack & Shunxiang, Hu & Lui, Lu, 2018. "Do high-speed railways lead to urban economic growth in China? A panel data study of China’s cities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 70-89.
    23. Li, Jiaman & Dong, Kangyin & Dong, Xiucheng, 2022. "Green energy as a new determinant of green growth in China: The role of green technological innovation," Energy Economics, Elsevier, vol. 114(C).
    24. Sam Allgood & William B. Walstad, 2016. "The Effects Of Perceived And Actual Financial Literacy On Financial Behaviors," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 675-697, January.
    25. Wang, Lei & Yuan, Feng & Duan, Xuejun, 2018. "How high-speed rail service development influenced commercial land market dynamics: A case study of Jiangsu province, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 248-257.
    26. Ginés de Rus & Gustavo Nombela, 2007. "Is Investment in High Speed Rail Socially Profitable?," Journal of Transport Economics and Policy, University of Bath, vol. 41(1), pages 3-23, January.
    27. Shujie Yao & Fan Zhang & Feng Wang & Jinghua Ou, 2019. "Regional economic growth and the role of high-speed rail in China," Applied Economics, Taylor & Francis Journals, vol. 51(32), pages 3465-3479, July.
    28. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    29. Liang, Yutian & Zhou, Keyang & Li, Xun & Zhou, Zhengke & Sun, Wei & Zeng, Jiaqi, 2020. "Effectiveness of high-speed railway on regional economic growth for less developed areas," Journal of Transport Geography, Elsevier, vol. 82(C).
    30. Wu, Yizhong & Lee, Chien-Chiang & Lee, Chi-Chuan & Peng, Diyun, 2022. "Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    31. Juan Martín & Gustavo Nombela, 2007. "Microeconomic impacts of investments in high speed trains in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(3), pages 715-733, September.
    32. 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.
    33. van Rijnsoever, Frank J. & Castaldi, Carolina & Dijst, Martin J., 2012. "In what sequence are information sources consulted by involved consumers? The case of automobile pre-purchase search," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 343-352.
    34. Dolan, Paul & Peasgood, Tessa & White, Mathew, 2008. "Do we really know what makes us happy A review of the economic literature on the factors associated with subjective well-being," Journal of Economic Psychology, Elsevier, vol. 29(1), pages 94-122, February.
    35. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    36. Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
    37. Dong, Xiaofang, 2018. "High-speed railway and urban sectoral employment in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 603-621.
    38. John Child & Yanni Yan, 2003. "Predicting the Performance of International Joint Ventures: An Investigation in China," Journal of Management Studies, Wiley Blackwell, vol. 40(2), pages 283-320, March.
    39. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
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