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High-speed rail, market access, and the rise of consumer cities: Evidence from China

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  • Zheng, Longfei
  • Chang, Zheng
  • Martinez, Andrea González

Abstract

This study examines the impact of high-speed rail (HSR) on the formation of consumer cities in China. We employ the market access (MA) approach and construct the least-cost path spanning tree network as an instrument to estimate the causal impact of HSR development on the socio-economic changes of counties from 2007 to 2016. Through a set of instrumental variable regressions, we find that districts with high MA growth experienced service sector agglomeration, manufacturing sector decentralization, and land price appreciation. These effects are relatively large for the urban districts of first- and second-tier Chinese cities. Through counterfactual analysis, we find that the absence of an HSR network decreases the growth of the number of service firms and service land price by 6.11% and 52.2%, respectively. These results suggest that HSR plays a key role in the rise of consumer cities by improving market access/integration, which transfers the economic structure from production to consumption.

Suggested Citation

  • Zheng, Longfei & Chang, Zheng & Martinez, Andrea González, 2022. "High-speed rail, market access, and the rise of consumer cities: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 454-470.
  • Handle: RePEc:eee:transa:v:165:y:2022:i:c:p:454-470
    DOI: 10.1016/j.tra.2022.08.012
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    1. Dora L. Costa, 1997. "Less of a Luxury: The Rise of Recreation since 1888," NBER Working Papers 6054, National Bureau of Economic Research, Inc.
    2. Chang, Zheng, 2014. "Financing new metros—The Beijing metro financing sustainability study," Transport Policy, Elsevier, vol. 32(C), pages 148-155.
    3. Chen, Zhenhua & Haynes, Kingsley E., 2015. "Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line," Journal of Transport Geography, Elsevier, vol. 43(C), pages 91-100.
    4. Benjamin Faber, 2014. "Trade Integration, Market Size, and Industrialization: Evidence from China's National Trunk Highway System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1046-1070.
    5. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    6. Zheng Chang & Mi Diao, 2022. "Inter-city transport infrastructure and intra-city housing markets: Estimating the redistribution effect of high-speed rail in Shenzhen, China," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 870-889, March.
    7. Edward L. Glaeser & Joshua D. Gottlieb, 2006. "Urban Resurgence and the Consumer City," Urban Studies, Urban Studies Journal Limited, vol. 43(8), pages 1275-1299, July.
    8. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    9. Jonathan Eaton & Samuel Kortum, 2002. "Technology, Geography, and Trade," Econometrica, Econometric Society, vol. 70(5), pages 1741-1779, September.
    10. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    11. Roback, Jennifer, 1982. "Wages, Rents, and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1257-1278, December.
    12. Rebecca Diamond, 2016. "The Determinants and Welfare Implications of US Workers' Diverging Location Choices by Skill: 1980-2000," American Economic Review, American Economic Association, vol. 106(3), pages 479-524, March.
    13. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    14. Chang, Zheng & Zheng, Longfei, 2022. "High-speed rail and the spatial pattern of new firm births: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 373-386.
    15. Martha Lawrence & Richard Bullock & Ziming Liu, 2019. "China's High-Speed Rail Development," World Bank Publications - Books, The World Bank Group, number 31801.
    16. Chang, Zheng & Li, Jing, 2018. "The impact of in-house unnatural death on property values: Evidence from Hong Kong," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 112-126.
    17. Chang, Zheng & Zheng, Longfei & Yang, Tianren & Long, Fenjie, 2022. "High-speed rail, new town development, and the spatial mismatch of land leases in China," Land Use Policy, Elsevier, vol. 115(C).
    18. Murakami, Jin & Chang, Zheng, 2018. "Polycentric development under public leasehold: A spatial analysis of commercial land use rights," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 25-36.
    19. Li, Keyang & Qin, Yu & Wu, Jing, 2020. "Recent housing affordability in urban China: A comprehensive overview," China Economic Review, Elsevier, vol. 59(C).
    20. Meese, Richard A & Wallace, Nancy E, 1997. "The Construction of Residential Housing Price Indices: A Comparison of Repeat-Sales, Hedonic-Regression and Hybrid Approaches," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 51-73, Jan.-Marc.
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    More about this item

    Keywords

    High-speed rail; Market access; Agglomeration; Land value; Least-cost path spanning tree; Consumer city;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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