PDF
Abstract
The economic implications of high-speed rail (HSR) cannot be overlooked in China. This paper studies the impact of HSR on the advancement and rationalization of industrial structure and the tertiary industry aggregation through theoretical derivation and multi-period difference-in-differences (DID) by improving the theoretical framework and empirical methods according to the characteristics of China's HSR and economic development. From analyses on urban heterogeneity and inter-industry spillover effects, the transmission mechanism and expressions of the industrial structure are also discussed. The findings show that HSR promotes tertiary industry aggregation and contributes to the transformation of the industrial structure from the primary to secondary and tertiary industry sectors, as well as realizing industrial structure advancement but irrationalization. Furthermore, HSR has a more significant influence on tertiary industry aggregation in large cities and high-density cities. Additionally, the aggregation of the transportation, warehousing, and postal sectors has been reduced, with a significant spillover effect on neighboring cities, proving the siphon effect and conduction mechanism, resulting in a structural shift in the tertiary industry, from basic to advanced sectors. The movement of human resources is a key mediator in the economic impact of HSR.
Keywords
High-speed rail
/
Industrial aggregation
/
Industrial structure advancement
/
Industrial structure rationalization
/
Siphon effect
/
Spillover effect
Cite this article
Download citation ▾
Ming-yu Hu, Jing Xu.
How Does High-Speed Rail Impact the Industry Structure? Evidence from China.
Urban Rail Transit, 2022, 8(3-4): 296-317 DOI:10.1007/s40864-022-00175-w
| [1] |
Spiekermann K, Wegener M. The shrinking continent: new time–space maps of Europe. Environ Plann B Plann Des, 1994, 21(6): 653-673
|
| [2] |
Niu F, Xin Z, Sun D. Urban land use effects of high-speed railway network in China: a spatial spillover perspective. Land Use Policy, 2021
|
| [3] |
Donaldson D. Railroads of the raj: estimating the impact of transportation infrastructure. Lse Res Online Doc Econ, 2010, 32(2): 16487
|
| [4] |
Alexander K. Improving transport infrastructure in Russia. OECD Econ Dep Work Pap, 2015, 1193: 1-22
|
| [5] |
Fageda X, Gonzalez-Aregall M. Do all transport modes impact on industrial employment? Empirical evidence from the Spanish regions. Transp Policy, 2017, 55: 70-78
|
| [6] |
Chandra A, Thompson E. Does public infrastructure affect economic activity? evidence from the rural interstate highway system. Reg Sci Urban Econ, 2000, 30(4): 457-490
|
| [7] |
Holl A. Transport infrastructure, agglomeration economies, and firm birth: empirical evidence from Portugal. J Reg Sci, 2004, 44(4): 693-712
|
| [8] |
Aschauer DA. Is public expenditure productive?. J Monet Econ, 1989, 23(2): 177-200
|
| [9] |
Chen CL, Hall P. The impacts of high-speed trains on British economic geography: a study of the UK's intercity 125/225 and its effects. J Transp Geogr, 2011, 19(4): 689-704
|
| [10] |
Levinson DM. Accessibility impacts of high-speed rail. J Transp Geogr, 2012, 22: 288-291
|
| [11] |
Chen G, Silva J. Estimating the provincial economic impacts of high-speed rail in Spain: an application of structural equation modeling. Soc Behav Sci, 2014, 111: 157-165
|
| [12] |
Ahlfeldt GM, Feddersen A. From periphery to core: measuring agglomeration effects using high-speed rail. Serc Discuss Pap, 2017
|
| [13] |
Chen Z, Haynes KE. Impact of high-speed rail on regional economic disparity in China. J Transp Geogr, 2017, 65: 80-91
|
| [14] |
Guirao B, Lara-Galera A, Campa JL. High speed rail commuting impacts on labour migration: the case of the concentration of metropolis in the Madrid functional area. Land Use Policy Int J Cover All Aspects Land Use, 2017, 66: 131-140
|
| [15] |
Guirao B, Campa JL, Casado-Sanz N. Labour mobility between cities and metropolitan integration: the role of high-speed rail commuting in Spain. Cities, 2018, 78: 140-154
|
| [16] |
Cascetta E, Cartenì A, Ih A, Henke I. Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives. Transp Res Part A: Policy Pract, 2020, 139: 412-428
|
| [17] |
Shao S, Tian Z, Yang L. High speed rail and urban service industry agglomeration: evidence from China's Yangtze River Delta region. J Transp Geogr, 2017, 64: 174-183
|
| [18] |
Dong X. High-speed railway and urban sectoral employment in China. Transp Res Part A Policy Pract, 2018, 116: 603-621
|
| [19] |
Meng X, Lin S, Zhu X. The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: evidence from China. Transp Policy, 2018, 68: 178-191
|
| [20] |
Wang F, Wei X, Liu J, Gao M. Impact of high-speed rail on population mobility and urbanisation: a case study on Yangtze river delta urban agglomeration, China. Transp Policy, 2019, 127: 99-114
|
| [21] |
Zheng L, Long F, Chang Z, Ye J. Ghost town or city of hope? the spatial spillover effects of high-speed railway stations in China. Transp Pol, 2019, 81: 230-241
|
| [22] |
Pan H, Cong C, Zhang X. How do high-speed rail projects affect the agglomeration in cities and regions?. Transp Res Part D: Transp Environ, 2020, 88
|
| [23] |
Wang S, Wang J, Liu X. How do urban spatial structures evolution in the high-speed rail era? Case study of Yangtze River Delta, China. Habitat Int, 2019, 93
|
| [24] |
Liu Y, Zhang X, Pan X, Ma X, Tang M. The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River economic belt China. Cities, 2020
|
| [25] |
Liang Y, Zhou K, Li X, Zhou Z, Sun W, Zeng J. Effectiveness of high-speed railway on regional economic growth for less developed areas. J Transp Geogr, 2020
|
| [26] |
Li X, Wu Z, Zhao X. Economic effect and its disparity of high-speed rail in China: a study of mechanism based on synthesis control method. Transp Policy, 2020, 99: 262-274
|
| [27] |
Li Y, Chen Z, Wang P. Impact of high-speed rail on urban economic efficiency in China. Transp Policy, 2020, 97: 220-231
|
| [28] |
Wang C, Meng W, Hou X. The impact of high-speed rails on urban economy: an investigation using night lighting data of Chinese cities. Res Transp Econ, 2020
|
| [29] |
Meng TA, Tl A, Xy B, Hz A, Xia MA. The impact of high-speed rail on service industry agglomeration in peripheral cities. Transp Res Part D: Transp Environ, 2021
|
| [30] |
Melo PC, Graham DJ, Brage-Ardao R. The productivity of transport infrastructure investment: a meta-analysis of empirical evidence. Reg Sci Urban Econ, 2013, 43(5): 695-706
|
| [31] |
Hansen WG. How accessibility shapes land-use. J Am Inst Plann, 1959, 25(1): 73-76
|
| [32] |
Guy M, Ferdinand R, Redding SJ. Urbanization and structural transformation. Quart J Econ, 2008, 2: 535-586
|
| [33] |
Pagliara F, Mauriello F, Garofalo A. Exploring the interdependences between high-speed rail systems and tourism: some evidence from Italy. Transp Res Part A: Policy Pract, 2017, 106: 300-308
|
| [34] |
Duflo E, Pande R. Dams. Q J Econ, 2007, 122(2): 601-646
|
| [35] |
Durarnton G, Turner MA. The fundamental law of road congestion: evidence from US cities. Am Econ Rev, 2011, 101(6): 2616-2652
|
| [36] |
Turner G. Urban growth and transportation. Cepr Discuss Pap, 2012, 79(4): 1407-1440
|
| [37] |
Melitz MJ. The impact of trade on intra-industry reallocations and aggregate industry productivity. Econometrica, 2003, 71(6): 1695-1725
|
| [38] |
Richard EB Heterogeneous firms, agglomeration and economic geography: spatial selection and sorting. J Econ Geogr, 2006, 6(3): 323-346
|
| [39] |
Melitz MJ, Ottaviano G. Market size, trade, and productivity. Rev Econ Stud, 2008, 75(1): 295-316
|
| [40] |
Pace RK, Lesage JP. A sampling approach to estimate the log determinant used in spatial likelihood problems. J Geogr Syst, 2009, 11(3): 209-225
|
| [41] |
Debrezion G, Pels E, Rietveld P. The impact of railway stations on residential and commercial property value: a meta-analysis. J Real Estate Financ Econ, 2007, 35(2): 161-180
|
| [42] |
He SY. Regional impact of rail network accessibility on residential property price: modelling spatial heterogeneous capitalisation effects in Hong Kong. Transp Res Part A Policy Pract, 2020
|
| [43] |
Huang Z, Du X. How does high-speed rail affect land value? Evidence from China. Land Use Policy, 2020
|
| [44] |
Wang L, Yuan F, Duan X. How high-speed rail service development influenced commercial land market dynamics: a case study of Jiangsu Province, China. J Transp Geogr, 2018, 72: 248-257
|