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“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?

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  • Dong, Lei
  • Du, Rui
  • Kahn, Matthew
  • Ratti, Carlo
  • Zheng, Siqi

Abstract

In China, local governments often build “new towns” far from the city center but close to new high-speed rail (HSR) stations. While some HSR new towns experience economic growth, others have been vacant for years and become “ghost cities.” This study explores the determinants of this heterogeneity. Using satellite imagery and online archives of government documents, we identify 180 HSR new towns. We use several datasets to measure local economic growth at a fine spatial scale. Building on the recent economic geography literature, we implement an instrumental variable strategy and a difference-in-differences approach that estimates the treatment effect with counterfactual locations to study how the creation of a new HSR station stimulates local economic growth. We find that the location and local market access are key determinants of the success of new towns. “Ghost cities” are more likely to emerge if the new stations are located too far from the existing city center or the city itself has weak market access.

Suggested Citation

  • Dong, Lei & Du, Rui & Kahn, Matthew & Ratti, Carlo & Zheng, Siqi, 2021. "“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?," Regional Science and Urban Economics, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:regeco:v:89:y:2021:i:c:s0166046221000429
    DOI: 10.1016/j.regsciurbeco.2021.103682
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    References listed on IDEAS

    as
    1. repec:hal:spmain:info:hdl:2441/4tc33icveb94nokk2rd2ettg0k is not listed on IDEAS
    2. Garcia-López, Miquel-Àngel & Hémet, Camille & Viladecans-Marsal, Elisabet, 2017. "Next train to the polycentric city: The effect of railroads on subcenter formation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 50-63.
    3. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71, Elsevier.
    4. Dave Donaldson & Richard Hornbeck, 2016. "Railroads and American Economic Growth: A "Market Access" Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 799-858.
    5. Paul Krugman & Anthony J. Venables, 1995. "Globalization and the Inequality of Nations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 857-880.
    6. Filipe R. Campante & Quoc-Anh Do, 2014. "Isolated Capital Cities, Accountability, and Corruption: Evidence from US States," American Economic Review, American Economic Association, vol. 104(8), pages 2456-2481, August.
    7. Glaeser, Edward L. & Kahn, Matthew E., 2004. "Sprawl and urban growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 56, pages 2481-2527, Elsevier.
    8. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, December.
    9. Rui Du & Junfu Zhang, 2019. "Walled cities and urban density in China," Papers in Regional Science, Wiley Blackwell, vol. 98(3), pages 1517-1539, June.
    10. Puga, Diego, 1999. "The rise and fall of regional inequalities," European Economic Review, Elsevier, vol. 43(2), pages 303-334, February.
    11. Cuberes, David & Desmet, Klaus & Rappaport, Jordan, 2021. "Urban growth shadows," Journal of Urban Economics, Elsevier, vol. 123(C).
    12. Henderson, Vernon & Mitra, Arindam, 1996. "The new urban landscape: Developers and edge cities," Regional Science and Urban Economics, Elsevier, vol. 26(6), pages 613-643, December.
    13. Bosker, Maarten & Buringh, Eltjo, 2017. "City seeds: Geography and the origins of the European city system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 139-157.
    14. Behrens, Kristian, 2007. "On the location and lock-in of cities: Geography vs transportation technology," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 22-45, January.
    15. 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.
    16. 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.
    17. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    18. Timothy J. Bartik, 1991. "Who Benefits from State and Local Economic Development Policies?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wbsle, August.
    19. Komei Sasaki & Tadahiro Ohashi & Asao Ando, 1997. "High-speed rail transit impact on regional systems: does the Shinkansen contribute to dispersion?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 77-98.
    20. Du, Rui & Zheng, Siqi, 2020. "Agglomeration, housing affordability, and new firm formation: The role of subway network," Journal of Housing Economics, Elsevier, vol. 48(C).
    21. 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.
    22. Gabriel Ahlfeldt & Arne Feddersen, 2008. "Determinants of Spatial Weights in Spatial Wage Equations: A Sensitivity Analysis within a Consistent Framework," Working Papers 022, Chair for Economic Policy, University of Hamburg.
    23. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    24. Daron Acemoglu & Joshua Linn, 2004. "Market Size in Innovation: Theory and Evidence from the Pharmaceutical Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 1049-1090.
    25. Fujita, Masahisa & Krugman, Paul & Mori, Tomoya, 1999. "On the evolution of hierarchical urban systems1," European Economic Review, Elsevier, vol. 43(2), pages 209-251, February.
    26. repec:hal:spmain:info:hdl:2441/nhjqqngq98lnqqrct2aj93qja is not listed on IDEAS
    27. H. Hanson, Gordon, 2005. "Market potential, increasing returns and geographic concentration," Journal of International Economics, Elsevier, vol. 67(1), pages 1-24, September.
    28. 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.
    29. Feng Yu & Faqin Lin & Yihong Tang & Changbiao Zhong, 2019. "High‐speed railway to success? The effects of high‐speed rail connection on regional economic development in China," Journal of Regional Science, Wiley Blackwell, vol. 59(4), pages 723-742, September.
    30. Holl, Adelheid, 2004. "Manufacturing location and impacts of road transport infrastructure: empirical evidence from Spain," Regional Science and Urban Economics, Elsevier, vol. 34(3), pages 341-363, May.
    31. Steven Brakman & Harry Garretsen & Marc Schramm, 2000. "The Empirical Relevance of the New Economic Geography: Testing for a Spatial Wage Structure in Germany," CESifo Working Paper Series 395, CESifo.
    32. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
    33. 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.
    34. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    35. Yu Qin, 2017. "‘No county left behind?’ The distributional impact of high-speed rail upgrades in China," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 489-520.
    36. Palivos, Theodore & Wang, Ping, 1996. "Spatial agglomeration and endogenous growth," Regional Science and Urban Economics, Elsevier, vol. 26(6), pages 645-669, December.
    37. Zhigang Li & Hangtian Xu, 2018. "High‐speed railroads and economic geography: Evidence from Japan," Journal of Regional Science, Wiley Blackwell, vol. 58(4), pages 705-727, September.
    38. repec:hhs:iuiwop:430 is not listed on IDEAS
    39. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    40. Haixiao, Pan & Ya, Gao, 2019. "Development of High-Speed Rail in the People’s Republic of China," ADBI Working Papers 959, Asian Development Bank Institute.
    41. Fujita, Masahisa & Mori, Tomoya, 1996. "The role of ports in the making of major cities: Self-agglomeration and hub-effect," Journal of Development Economics, Elsevier, vol. 49(1), pages 93-120, April.
    42. 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.
    43. Ioannides, Yannis M. & Zhang, Junfu, 2017. "Walled cities in late imperial China," Journal of Urban Economics, Elsevier, vol. 97(C), pages 71-88.
    44. Li, Dongya & Lu, Yi & Wu, Mingqin, 2012. "Industrial agglomeration and firm size: Evidence from China," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 135-143.
    45. Mori, Tomoya & Nishikimi, Koji, 2002. "Economies of transport density and industrial agglomeration," Regional Science and Urban Economics, Elsevier, vol. 32(2), pages 167-200, March.
    46. Kahn, Matthew E. & Sun, Weizeng & Wu, Jianfeng & Zheng, Siqi, 2021. "Do political connections help or hinder urban economic growth? Evidence from 1,400 industrial parks in China," Journal of Urban Economics, Elsevier, vol. 121(C).
    47. Cohen, Jeffrey P. & Paul, Catherine J. Morrison, 2005. "Agglomeration economies and industry location decisions: the impacts of spatial and industrial spillovers," Regional Science and Urban Economics, Elsevier, vol. 35(3), pages 215-237, May.
    48. 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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    1. Will the Biden Administration's Trillion Dollar Investment in Infrastructure Unlock the Potential of Post-Industrial Cities?
      by Matthew E. Kahn in Environmental and Urban Economics on 2021-11-09 21:31:00

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    More about this item

    Keywords

    New town creation; Agglomeration; High-speed rail;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • Z20 - Other Special Topics - - Sports Economics - - - General

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