IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v57y2016icp194-206.html
   My bibliography  Save this article

Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study

Author

Listed:
  • Li, Xijing
  • Huang, Bo
  • Li, Rongrong
  • Zhang, Yipei

Abstract

The high speed railway (HSR) network in China has developed rapidly over the past ten years, offering a new means of travel and also regenerating and redistributing economic activities by encouraging population mobility. Using the Yangtze River Delta urban agglomeration as a case study, this paper investigates the redistribution of economic activities resulting from HSRs by developing a locally weighted regression model, geographically network weighted regression (GNWR). This GNWR is formulated in light of the current account identity in economics, and incorporates the changes in network-based travel time from HSRs and the degrees of cities, thereby offering a more appropriate method of capturing the movement of economic activities. Importantly, the coefficients in GNWR can reflect the net inflow or outflow of different cities in terms of their residents' investment and/or consumption. The results of the analysis show that HSRs have significantly changed the spatial redistribution of economic activities due to more frequent and rapid mobility. For investment activities, HSR drew the inflow to the second tier cities alongside HSR and strengthened the status of core cities; for consumption activities, HSR motivated the inflow to non-HSR cities located in the peripheral areas.

Suggested Citation

  • Li, Xijing & Huang, Bo & Li, Rongrong & Zhang, Yipei, 2016. "Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 194-206.
    • Handle: RePEc:eee:jotrge:v:57:y:2016:i:c:p:194-206
    DOI: 10.1016/j.jtrangeo.2016.10.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692316306202
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2016.10.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Maurice Obstfeld & Kenneth S. Rogoff, 1996. "Foundations of International Macroeconomics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262150476, April.
    2. 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, April.
    3. Levinson, David M., 2012. "Accessibility impacts of high-speed rail," Journal of Transport Geography, Elsevier, vol. 22(C), pages 288-291.
    4. Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
    5. Chen, Chia-Lin, 2012. "Reshaping Chinese space-economy through high-speed trains: opportunities and challenges," Journal of Transport Geography, Elsevier, vol. 22(C), pages 312-316.
    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. Selby, Brent & Kockelman, Kara M., 2013. "Spatial prediction of traffic levels in unmeasured locations: applications of universal kriging and geographically weighted regression," Journal of Transport Geography, Elsevier, vol. 29(C), pages 24-32.
    8. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    9. James E. Anderson & Eric van Wincoop, 2003. "Gravity with Gravitas: A Solution to the Border Puzzle," American Economic Review, American Economic Association, vol. 93(1), pages 170-192, March.
    10. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    11. Qin, Duo & Song, Haiyan, 2009. "Sources of investment inefficiency: The case of fixed-asset investment in China," Journal of Development Economics, Elsevier, vol. 90(1), pages 94-105, September.
    12. Perl, Anthony D. & Goetz, Andrew R., 2015. "Corridors, hybrids and networks: three global development strategies for high speed rail," Journal of Transport Geography, Elsevier, vol. 42(C), pages 134-144.
    13. McCallum, John, 1995. "National Borders Matter: Canada-U.S. Regional Trade Patterns," American Economic Review, American Economic Association, vol. 85(3), pages 615-623, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    2. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    3. Xiaobo Liu & Yukuan Wang & Ming Li, 2021. "How to Identify Future Priority Areas for Urban Development: An Approach of Urban Construction Land Suitability in Ecological Sensitive Areas," IJERPH, MDPI, vol. 18(8), pages 1-21, April.
    4. Huang, Hai-Jun & Xia, Tian & Tian, Qiong & Liu, Tian-Liang & Wang, Chenlan & Li, Daqing, 2020. "Transportation issues in developing China's urban agglomerations," Transport Policy, Elsevier, vol. 85(C), pages 1-22.
    5. Yang, Hu & Lv, Sirui & Guo, Bao & Dai, Jianjun & Wang, Pu, 2024. "Uncovering spatiotemporal human mobility patterns in urban agglomerations: A mobility field based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    6. Weidong Li & Xuefang Wang & Olli-Pekka Hilmola, 2020. "Does High-Speed Railway Influence Convergence of Urban-Rural Income Gap in China?," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    7. Wang, Kun & Xia, Wenyi & Zhang, Anming, 2017. "Should China further expand its high-speed rail network? Consider the low-cost carrier factor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 105-120.
    8. Huaming Xie & Tong Xu & Qianjiao Wu & Mengya Zhang & Ningning Tong & Ting Zhang, 2022. "Spatial and Economic Effects of Yangtze River-Huaihe River Water Transfer Project on the Transportation Accessibility of Bulk Cargo within Anhui Province, China," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    9. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    10. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    11. Dong, Yan & Huang, Jun & Wu, Ji, 2023. "Does high-speed rail affect the agglomeration of banks in China?," Emerging Markets Review, Elsevier, vol. 56(C).
    12. Zhang, Yuxin & Xu, Dafeng, 2023. "Service on the rise, agriculture and manufacturing in decline: The labor market effects of high-speed rail services in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    13. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    14. Li, Xijing & Zhang, Mengmeng & Wang, Jionghua, 2022. "The spatio-temporal relationship between land use and population distribution around new intercity railway stations: A case study on the Pearl River Delta region, China," Journal of Transport Geography, Elsevier, vol. 98(C).
    15. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    16. Shuji Sugimori & Yoshitsugu Hayashi & Hiroyuki Takeshita & Tomohiko Isobe, 2022. "Evaluating the Regional Economic Impacts of High-Speed Rail and Interregional Disparity: A Combined Model of I/O and Spatial Interaction," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    17. Ren, Yi & Tian, Yuan & Xiao, Xue, 2022. "Spatial effects of transportation infrastructure on the development of urban agglomeration integration: Evidence from the Yangtze River Economic Belt," Journal of Transport Geography, Elsevier, vol. 104(C).
    18. Mao, Xia & Chen, Xiao, 2023. "Does airport construction narrow regional economic disparities in China?," Journal of Air Transport Management, Elsevier, vol. 108(C).
    19. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    20. Weichen Liu & Jiaying Guo & Wei Wu & Youhui Cao, 2022. "The evolution of regional spatial structure influenced by passenger rail service: A case study of the Yangtze River Delta," Growth and Change, Wiley Blackwell, vol. 53(2), pages 651-679, June.
    21. Li, Xijing & Ma, Xinlin & Wilson, Bev, 2021. "Beyond absolute space: An exploration of relative and relational space in Shanghai using taxi trajectory data," Journal of Transport Geography, Elsevier, vol. 93(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu, Wangtu (Ato) & Long, Ying & Zhang, Wei, 2019. "Prioritizing future funding and construction of the planned high-speed rail corridors of China – According to regional structure and urban land development potential indices," Transport Policy, Elsevier, vol. 81(C), pages 381-395.
    2. Kim, Hyojin & Sultana, Selima & Weber, Joe, 2018. "A geographic assessment of the economic development impact of Korean high-speed rail stations," Transport Policy, Elsevier, vol. 66(C), pages 127-137.
    3. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    4. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    5. James Harrigan, 2001. "Specialization and the Volume of Trade: Do the Data Obey the Laws?," NBER Working Papers 8675, National Bureau of Economic Research, Inc.
    6. Redding, Stephen & Venables, Anthony J., 2004. "Economic geography and international inequality," Journal of International Economics, Elsevier, vol. 62(1), pages 53-82, January.
    7. Chen, Xiaoyan & Liu, Yisheng, 2020. "Visualization analysis of high-speed railway research based on CiteSpace," Transport Policy, Elsevier, vol. 85(C), pages 1-17.
    8. Stefan RIED, 2010. "New Keynesian Open Economy Models versus the Six Major Puzzles in International Macroeconomics," EcoMod2004 330600119, EcoMod.
    9. 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.
    10. Chou, Jui-Sheng & Chien, Ya-Ling & Nguyen, Ngoc-Mai & Truong, Dinh-Nhat, 2018. "Pricing policy of floating ticket fare for riding high speed rail based on time-space compression," Transport Policy, Elsevier, vol. 69(C), pages 179-192.
    11. Hongsheng Chen & Dongqi Sun & Zhenjun Zhu & Jun Zeng, 2016. "The Impact of High-Speed Rail on Residents’ Travel Behavior and Household Mobility: A Case Study of the Beijing-Shanghai Line, China," Sustainability, MDPI, vol. 8(11), pages 1-14, November.
    12. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    13. Yanan Jin & Guoli Ou, 2023. "The Impacts of High-Speed Rail on Producer Service Industry Agglomeration: Evidence from China’s Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    14. Richard Pomfret, 2005. "Regional Trade Agreements," School of Economics and Public Policy Working Papers 2005-15, University of Adelaide, School of Economics and Public Policy.
    15. Jun Yang & Andong Guo & Xueming Li & Tai Huang, 2018. "Study of the Impact of a High-Speed Railway Opening on China’s Accessibility Pattern and Spatial Equality," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    16. Stephen Redding & Anthony Venables, 2004. "Geography and Export Performance: External Market Access and Internal Supply Capacity," NBER Chapters, in: Challenges to Globalization: Analyzing the Economics, pages 95-127, National Bureau of Economic Research, Inc.
    17. Gordon H. Hanson & Chong Xiang, 2004. "The Home-Market Effect and Bilateral Trade Patterns," American Economic Review, American Economic Association, vol. 94(4), pages 1108-1129, September.
    18. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    19. Michele Fratianni, 2004. "Borders and the Constraints on Globalization," Working Papers 2004-05, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    20. Chandra, Shailesh & Vadali, Sharada, 2014. "Evaluating accessibility impacts of the proposed America 2050 high-speed rail corridor for the Appalachian Region," Journal of Transport Geography, Elsevier, vol. 37(C), pages 28-46.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:57:y:2016:i:c:p:194-206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.