IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12580-d932536.html
   My bibliography  Save this article

The Impact of Land Transportation Integration on Service Agglomeration in Yangtze River Delta Urban Agglomeration

Author

Listed:
  • Gongding Wei

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China
    School of Transportation Science and Engineering, Beihang University, Beijing 100191, China)

  • Xueyan Li

    (Management College, Beijing Union University, Beijing 100101, China)

  • Mingyuan Yu

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

  • Guangquan Lu

    (School of Transportation Science and Engineering, Beihang University, Beijing 100191, China)

  • Zhiyu Chen

    (Research Institute of Highway, Ministry of Transport, Beijing 100088, China)

Abstract

This study selected the Yangtze River Delta urban agglomeration as the research area, considering the current status of its transportation development to construct an urban agglomeration land transportation integration index system and to evaluate the development of the area’s transportation integration. The study examined the influence mechanism of transportation infrastructure on service industry agglomeration. The results were as follows: (1) From 2011 to 2020, the Yangtze River Delta urban agglomeration land transportation integration index showed a clear upward trend. (2) The development of the integration level of local transportation has a certain inhibitory effect on the agglomeration of local service industries. The transportation integration of the Yangtze River Delta urban agglomeration played an important role in promoting the agglomeration of local wholesale and retail industries and transportation, storage, and postal services. The labor force and market size also have a significant impact on service agglomeration. (3) The integration of land transport in the urban agglomeration affects the agglomeration of service industries through the knowledge spillover effect caused by the improvement of accessibility, and the impact is heterogeneous. The Yangtze River Delta urban agglomeration needs to accelerate the construction of trans-provincial and trans-municipal transportation infrastructure and to further improve its connectivity level to promote the integrated development of high-quality transportation in this area.

Suggested Citation

  • Gongding Wei & Xueyan Li & Mingyuan Yu & Guangquan Lu & Zhiyu Chen, 2022. "The Impact of Land Transportation Integration on Service Agglomeration in Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12580-:d:932536
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12580/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/19/12580/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
    2. Marco Percoco, 2016. "Highways, local economic structure and urban development," Journal of Economic Geography, Oxford University Press, vol. 16(5), pages 1035-1054.
    3. Liu, Weichen & Cao, Youhui & Wu, Wei & Guo, Jiaying, 2020. "Spatial impact analysis of trans-Yangtze highway fixed links: A case study of the Yangtze River Delta, China," Journal of Transport Geography, Elsevier, vol. 88(C).
    4. Peng, Dan & Li, Rongrong & Shen, Chenrong & Wong, Zoey, 2022. "Industrial agglomeration, urban characteristics, and economic growth quality: The case of knowledge-intensive business services," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 18-28.
    5. Fangqu Niu & Fang Wang, 2022. "Economic Spatial Structure in China: Evidence from Railway Transport Network," Land, MDPI, vol. 11(1), pages 1-17, January.
    6. Haoming Guan & Qiao Li & Wen-Ze Yue, 2021. "Spatial Spillover Effects of Economic Growth Based on High-Speed Railways in Northeast China," Complexity, Hindawi, vol. 2021, pages 1-11, April.
    7. 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.
    8. 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.
    9. 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.
    10. Yu Miao & Anning Ni, 2019. "Vulnerability Analysis of Intercity Multimode Transportation Networks; A Case Study of the Yangtze River Delta," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    11. 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.
    12. Holl, Adelheid, 2016. "Highways and productivity in manufacturing firms," Journal of Urban Economics, Elsevier, vol. 93(C), pages 131-151.
    13. Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2020. "Travel costs, trade, and market segmentation: Evidence from China's high‐speed railway," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1799-1825, December.
    14. Ma, Liya & Niu, Dongxiao & Sun, Weizeng, 2021. "Transportation infrastructure and entrepreneurship: Evidence from high-speed railway in China," China Economic Review, Elsevier, vol. 65(C).
    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. Shuoqi Wang & Zhanzhong Wang, 2023. "Collaborative Development and Transportation Volume Regulation Strategy for an Urban Agglomeration," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    2. 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.

    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. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    2. 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.
    3. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    5. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    6. Sun, Xinyu & Yan, Sen & Liu, Tao & Wang, Jiayin, 2023. "The impact of high-speed rail on urban economy: Synergy with urban agglomeration policy," Transport Policy, Elsevier, vol. 130(C), pages 141-154.
    7. Kang, Meiling & Li, Yucheng & Zhao, Zhongkuang & Song, Min & Yi, Jun, 2023. "Travel costs and inter-city collaborative innovation: Evidence of high-speed railway in China," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 286-302.
    8. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    9. 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.
    10. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    11. 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.
    12. Ma, Liya & Niu, Dongxiao & Sun, Weizeng, 2021. "Transportation infrastructure and entrepreneurship: Evidence from high-speed railway in China," China Economic Review, Elsevier, vol. 65(C).
    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. Jiangteng Zhou, 2023. "The impacts of highways on firm size distribution: Evidence from China," Growth and Change, Wiley Blackwell, vol. 54(2), pages 482-506, June.
    15. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    16. Lu, Juan & Li, He, 2022. "Can high-speed rail improve enterprise capacity utilization? A perspective of supply side and demand side," Transport Policy, Elsevier, vol. 115(C), pages 152-163.
    17. Chen, Jun, 2021. "High-speed rail and energy consumption in China: The intermediary roles of industry and technology," Energy, Elsevier, vol. 230(C).
    18. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    19. 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.
    20. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

    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:gam:jsusta:v:14:y:2022:i:19:p:12580-:d:932536. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.