IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v105y2021ics026483772100140x.html
   My bibliography  Save this article

Urban land use effects of high-speed railway network in China: A spatial spillover perspective

Author

Listed:
  • Niu, Fangqu
  • Xin, Zhongling
  • Sun, Dongqi

Abstract

In the past decade, China’s high-speed railway (HSR) system has expanded rapidly and become the longest and most complex network in the world. To fully exploit the HSR dividend, many cities have constructed HSRs in new locations, triggering urban land use change, especially around the HSR stations. This study has used the difference-in-difference (DID) method to explore the effect of HSRs on urban land use using long-term nighttime light (NTL) data. The main conclusions are that the operation of HSRs has increased the intensity of urban land use by about 4.4%, with the land use effect of the “renewed HSR stations” being significantly higher than that of the “newly-built stations”; further the development of tertiary industry has promoted a siphoning effect, that is the spillover of HSR stations in large cities is strengthened relative to that for small cities. Based on these results, the study further analyzed the performance of areas with new HSR installations and the factors controlling the inter-city heterogeneities.

Suggested Citation

  • Niu, Fangqu & Xin, Zhongling & Sun, Dongqi, 2021. "Urban land use effects of high-speed railway network in China: A spatial spillover perspective," Land Use Policy, Elsevier, vol. 105(C).
  • Handle: RePEc:eee:lauspo:v:105:y:2021:i:c:s026483772100140x
    DOI: 10.1016/j.landusepol.2021.105417
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026483772100140X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2021.105417?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    3. 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.
    4. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    5. Sands, Brian D., 1993. "The Development Effects of High-Speed Rail Stations and Implications for California," University of California Transportation Center, Working Papers qt13t478sf, University of California Transportation Center.
    6. 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.
    7. Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
    8. Shen, Yu & de Abreu e Silva, João & Martínez, Luis Miguel, 2014. "Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006," Journal of Transport Geography, Elsevier, vol. 41(C), pages 184-196.
    9. 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.
    10. Chen, Zhenhua, 2017. "Impacts of high-speed rail on domestic air transportation in China," Journal of Transport Geography, Elsevier, vol. 62(C), pages 184-196.
    11. 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.
    12. 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.
    13. Liang, Yutian & Zhou, Keyang & Li, Xun & Zhou, Zhengke & Sun, Wei & Zeng, Jiaqi, 2020. "Effectiveness of high-speed railway on regional economic growth for less developed areas," Journal of Transport Geography, Elsevier, vol. 82(C).
    14. Mi Diao & Yi Zhu & Jiren Zhu, 2017. "Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 54(10), pages 2249-2267, August.
    15. Leigh Linden & Jonah E. Rockoff, 2008. "Estimates of the Impact of Crime Risk on Property Values from Megan's Laws," American Economic Review, American Economic Association, vol. 98(3), pages 1103-1127, June.
    16. 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.
    17. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    18. 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).
    19. 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.
    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. Junhui Shi & Fang Wang, 2022. "The Effect of High-Speed Rail on Cropland Abandonment in China," Land, MDPI, vol. 11(7), pages 1-16, July.
    2. Di Matteo, Dante & Cardinale, Bernardo, 2023. "Impact of high-speed rail on income inequalities in Italy," Journal of Transport Geography, Elsevier, vol. 111(C).
    3. Wu, Shuping & Han, Dan, 2022. "Accessibility of high-speed rail (HSR) stations and HSR–air competition: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 262-284.
    4. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    5. Dawid Kudas & Agnieszka Wnęk & Lucia Tátošová, 2022. "Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    6. Pařil Vilém & Viturka Milan & Rederer Václav, 2023. "The change of commuting behaviour with planned high-speed railways in Czechia," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 1-13, March.
    7. Yunzhe Dai & Xiangmei Li & Dan Wang & Yayun Wang, 2022. "Impact of Accessibility to Cities at Multiple Administrative Levels on Soil Conservation: A Case Study of Hunan Province," IJERPH, MDPI, vol. 19(18), pages 1-19, September.

    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. 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.
    2. 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.
    3. Chang, Zheng & Diao, Mi & Jing, Kecen & Li, Weifeng, 2021. "High-speed rail and industrial movement: Evidence from China's Greater Bay Area," Transport Policy, Elsevier, vol. 112(C), pages 22-31.
    4. Haoran Zhang & Ying Chai & Xuyu Yang & Wenli Zhao, 2022. "High-Speed Rail and Urban Growth Disparity: Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-13, July.
    5. 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.
    6. Tianjiao Zhao & Xiang Xiao & Qinghui Dai, 2021. "Transportation Infrastructure Construction and High-Quality Development of Enterprises: Evidence from the Quasi-Natural Experiment of High-Speed Railway Opening in China," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    7. 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.
    8. Yang, Zhiwei & Li, Can & Jiao, Jingjuan & Liu, Wei & Zhang, Fangni, 2020. "On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China," Transport Policy, Elsevier, vol. 99(C), pages 20-30.
    9. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    10. Shujie Yao & Jing Fang & Hongbo He, 2020. "Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 90-117, September.
    11. Yanyan Gao & Yongqing Nan & Shunfeng Song, 2022. "High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1012-1036, September.
    12. Yan, Linnan & Tu, Menger & Chagas, André L.S. & Tai, Lufeng, 2022. "The impact of high-speed railway on labor spatial misallocation—Based on spatial difference-in-differences analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 82-97.
    13. Duan, Liaoliao & Sun, Weizeng & Zheng, Siqi, 2020. "Transportation network and venture capital mobility: An analysis of air travel and high-speed rail in China," Journal of Transport Geography, Elsevier, vol. 88(C).
    14. Wang, Lei & Yuan, Feng & Duan, Xuejun, 2018. "How high-speed rail service development influenced commercial land market dynamics: A case study of Jiangsu province, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 248-257.
    15. 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.
    16. Dongshan Ma & Shengqiang Zhang & Jiayu Zhao, 2022. "The High-Speed Railway Opening and Audit Fees: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    17. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    18. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    19. 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.
    20. Yahong Liu & Daisheng Tang & Tao Bu & Xinyuan Wang, 2022. "The spatial employment effect of high-speed railway: quasi-natural experimental evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 333-359, October.

    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:lauspo:v:105:y:2021:i:c:s026483772100140x. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.