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High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities

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  • Tian, Meng
  • Wang, Yiwei
  • Wang, Yiran

Abstract

High-speed rail (HSR) has greatly promoted cross-regional economic activities, but few studies have been conducted from the perspective of urban network externalities (UNEs). Based on data from China from 2008 to 2019, this paper constructs an HSR operation network model to study the impact of the network position (NP) on urban agglomeration economies (UAEs) by jointly employing network and econometric analysis methods. The findings suggest the following: (1) Improvements to NP significantly enhance UAEs. Improving the comprehensive NP by 1% will increase urban output per capita by 193.5–226.8 RMB. The findings hold under several robustness tests. (2) The NP's facilitation of growth in UAEs is reflected mainly in national core cities, while the impact of peripheral cities reflects a “∽-shaped” curve as their distance from each nearest neighboring core city changes. (3) From the temporal-dynamic perspective, the NP's impact on UAEs appeared one year before the HSR line was opened and was fully realized three years after the opening of the HSR. (4) Investment agglomeration and expansions in borrowed size are the main mediating mechanisms whereby NP facilitates UAEs.

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  • Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122002439
    DOI: 10.1016/j.seps.2022.101442
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    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Yang, Xuehui & Zhang, Huirong & Lin, Shanlang & Zhang, Jiaping & Zeng, Jianlong, 2021. "Does high-speed railway promote regional innovation growth or innovation convergence?," Technology in Society, Elsevier, vol. 64(C).
    3. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    4. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    5. Evert Meijers & Martijn Burger & Edward L. Glaeser & Giacomo A. M. Ponzetto & Yimei Zou, 2016. "Urban networks: Connecting markets, people, and ideas," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 17-59, March.
    6. 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.
    7. Daniel E. Schindler & Ray Hilborn & Brandon Chasco & Christopher P. Boatright & Thomas P. Quinn & Lauren A. Rogers & Michael S. Webster, 2010. "Population diversity and the portfolio effect in an exploited species," Nature, Nature, vol. 465(7298), pages 609-612, June.
    8. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    9. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    10. 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).
    11. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    12. Paul Krugman, 1997. "Development, Geography, and Economic Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 026261135x, April.
    13. Frank van Oort & Martijn Burger & Otto Raspe, 2010. "On the Economic Foundation of the Urban Network Paradigm: Spatial Integration, Functional Integration and Economic Complementarities within the Dutch Randstad," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 725-748, April.
    14. Matthew E. Kahn, 2010. "New Evidence on Trends in the Cost of Urban Agglomeration," NBER Chapters, in: Agglomeration Economics, pages 339-354, National Bureau of Economic Research, Inc.
    15. Evert Meijers & Marloes Hoogerbrugge & Rodrigo Cardoso, 2018. "Beyond Polycentricity: Does Stronger Integration Between Cities in Polycentric Urban Regions Improve Performance?," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(1), pages 1-21, February.
    16. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    17. Peter Cabus & Wim Vanhaverbeke, 2006. "The territoriality of the network economy and urban networks: evidence from flanders," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 18(1), pages 25-53, January.
    18. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
    19. WU, Jidong & LI, Ning & SHI, Peijun, 2014. "Benchmark wealth capital stock estimations across China's 344 prefectures: 1978 to 2012," China Economic Review, Elsevier, vol. 31(C), pages 288-302.
    20. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    21. Roberta Capello, 2000. "The City Network Paradigm: Measuring Urban Network Externalities," Urban Studies, Urban Studies Journal Limited, vol. 37(11), pages 1925-1945, October.
    22. Martijn J. Burger & Evert J. Meijers & Marloes M. Hoogerbrugge & Jaume Masip Tresserra, 2015. "Borrowed Size, Agglomeration Shadows and Cultural Amenities in North-West Europe," European Planning Studies, Taylor & Francis Journals, vol. 23(6), pages 1090-1109, June.
    23. Zhu, Xinhua & Qian, Tiannan & Wei, Yigang, 2020. "Do high-speed railways accelerate urban land expansion in China? A study based on the multi-stage difference-in-differences model," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    24. W. W. Rostow, 1959. "The Stages Of Economic Growth," Economic History Review, Economic History Society, vol. 12(1), pages 1-16, August.
    25. Rafael Boix & Joan Trullén, 2007. "Knowledge, networks of cities and growth in regional urban systems," Papers in Regional Science, Wiley Blackwell, vol. 86(4), pages 551-574, November.
    26. Henderson, Vernon & Kuncoro, Ari & Turner, Matt, 1995. "Industrial Development in Cities," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1067-1090, October.
    27. Wang, De-gen & Niu, Yu & Qian, Jia, 2018. "Evolution and optimization of China's urban tourism spatial structure: A high speed rail perspective," Tourism Management, Elsevier, vol. 64(C), pages 218-232.
    28. Guo, Yunxiang & Yu, Wenhao & Chen, Zhanlong & Zou, Renwei, 2020. "Impact of high-speed rail on urban economic development: An observation from the Beijing-Guangzhou line based on night-time light images," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    29. Tang, Chenghui & Guan, Mingming & Dou, Jianmin, 2021. "Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities," Technology in Society, Elsevier, vol. 67(C).
    30. Evert Meijers & Martijn Burger & Michiel Meeteren & Zachary Neal & Ben Derudder, 2016. "Disentangling agglomeration and network externalities: A conceptual typology," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 61-80, March.
    31. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    32. Meng Tian & Tongping Li & Shuwang Yang & Yiwei Wang & Shuke Fu, 2019. "The Impact of High-Speed Rail on the Service-Sector Agglomeration in China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    33. Evert Meijers & Martijn Burger & Roberto Camagni & Roberta Capello & Andrea Caragliu, 2016. "Static vs. dynamic agglomeration economies. Spatial context and structural evolution behind urban growth," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 133-158, March.
    34. 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.
    35. Li, Chunying & Zhang, Jinning & Lyu, Yanwei, 2022. "Does the opening of China railway express promote urban total factor productivity? New evidence based on SDID and SDDD model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    36. 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.
    37. Wang, Jiaoe & Du, Delin & Huang, Jie, 2020. "Inter-city connections in China: High-speed train vs. inter-city coach," Journal of Transport Geography, Elsevier, vol. 82(C).
    38. Ren, Xiaohong & Chen, Zhenhua & Wang, Fang & Dan, Ting & Wang, Wei & Guo, Xiaotong & Liu, Chunhua, 2020. "Impact of high-speed rail on social equity in China: Evidence from a mode choice survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 422-441.
    39. Evert Meijers & Martijn Burger & Martijn J. Burger & Evert J. Meijers, 2016. "Agglomerations and the rise of urban network externalities," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 5-15, March.
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