IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p16024-d1281767.html
   My bibliography  Save this article

Transportation Infrastructure and Digital Economy—Evidence from Chinese Cities

Author

Listed:
  • Shuohua Shen

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Hongchang Li

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Mingzhen Li

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

Abstract

In this research, the influences of railways, roads, waterways, and civil aviation on the digital economy were analyzed using traffic, urban, and enterprise data in the integrated transport system. Regression was performed through the generalized spatial least square method (GS2SLS) in the empirical section to solve the endogeneity problem. It was verified that transportation infrastructure can promote the digital economy. While the development of railways, waterways, and roads is expected to rise by 1%, the digital economy will be increased by 0.0049, 0.0048, and 0.0031, respectively, and civil aviation’s effect is not significant. The robustness test results were still remarkable. From the industry level of cities, it was found that transportation infrastructure mainly promotes the development of the digital economy by upgrading the industrial structure. At the enterprise level, promoting entrepreneurship and facilitating the digital transformation of enterprises have become the main driving forces for the development of the digital economy, and strengthening labor flow is a vital promotion mechanism at the factor level of cities. In addition, a significant single-threshold effect is observed in promoting the digital economy by transportation infrastructure. In the cities that cross the threshold of the economic development level, the progress in the digital economy increases from 0.0027 and 0.0035 to 0.0059 and 0.0061 for 1% development of railways and roads; the promotion of the digital economy by transportation infrastructure is more evident in cities with a permanent-residents population of more than 3 million. Developing the digital economy and transport infrastructure is essential for economic recovery and sustainable development.

Suggested Citation

  • Shuohua Shen & Hongchang Li & Mingzhen Li, 2023. "Transportation Infrastructure and Digital Economy—Evidence from Chinese Cities," Sustainability, MDPI, vol. 15(22), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16024-:d:1281767
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/16024/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/22/16024/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaokai Yang & Dingsheng Zhang, 2006. "Economic Development, International Trade, And Income Distribution," World Scientific Book Chapters, in: Christis Tombazos & Xiaokai Yang (ed.), Inframarginal Contributions To Development Economics, chapter 5, pages 77-109, World Scientific Publishing Co. Pte. Ltd..
    2. 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).
    3. Olfindo, Rosechin, 2021. "Transport accessibility, residential satisfaction, and moving intention in a context of limited travel mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 153-166.
    4. Nathaniel Baum-Snow & Loren Brandt & J. Vernon Henderson & Matthew A. Turner & Qinghua Zhang, 2017. "Roads, Railroads, and Decentralization of Chinese Cities," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 435-448, July.
    5. Jeffrey D. Sachs & Xiaokai Yang & Dingsheng Zhang, 1999. "Trade Pattern and Economic Development when Endogenous and Exogenous Comparative Advantages Coexist," CID Working Papers 03A, Center for International Development at Harvard University.
    6. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    7. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    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. Yufang Shi & Tianlun Zhang & Yufeng Jiang, 2023. "Digital Economy, Technological Innovation and Urban Resilience," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    10. Lee Branstetter & Francisco Lima & Lowell J. Taylor & Ana Venâncio, 2014. "Do Entry Regulations Deter Entrepreneurship and Job Creation? Evidence from Recent Reforms in Portugal," Economic Journal, Royal Economic Society, vol. 124(577), pages 805-832, June.
    11. Anne Nygaard Tanner, 2016. "The emergence of new technology-based industries: the case of fuel cells and its technological relatedness to regional knowledge bases," Journal of Economic Geography, Oxford University Press, vol. 16(3), pages 611-635.
    Full references (including those not matched with items on IDEAS)

    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. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. Baek, Jisun & Park, WooRam, 2022. "The impact of improved passenger transport system on manufacturing plant productivity," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    3. 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.
    4. 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.
    5. Hanley, Douglas & Li, Jiancheng & Wu, Mingqin, 2022. "High-speed railways and collaborative innovation," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    6. 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.
    7. Liaoliao Duan & Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2021. "Transportation infrastructure and capital mobility: evidence from China’s high-speed railways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 617-648, December.
    8. Jingbo Cui & Tianqi Li & Zhenxuan Wang, 2023. "Research collaboration beyond the boundary: Evidence from university patents in China," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 674-702, June.
    9. Feng, Qiyun & Chen, Zhenhua & Cheng, Chuanchao & Chang, Haiqing, 2023. "Impact of high-speed rail on high-skilled labor mobility in China," Transport Policy, Elsevier, vol. 133(C), pages 64-74.
    10. Zhang, Xueliang & Hu, Yuqi & Lin, Yongran, 2020. "The influence of highway on local economy: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 82(C).
    11. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    12. Wan, Liyang & Wan, Qian, 2022. "High-speed railway and the intercity transmission of epidemics: Evidence from COVID-19 in China," Economic Modelling, Elsevier, vol. 114(C).
    13. Qunyang Du & Hangdong Yu & Cheng Yan & Tianle Yang, 2020. "Does High-Speed Rail Network Access Enhance Cities’ Innovation Performance?," Sustainability, MDPI, vol. 12(19), pages 1-13, October.
    14. 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.
    15. Yatang Lin & Yu Qin & Johan Sulaeman & Jubo Yan & Jialiang Zhang, 2023. "Expanding Footprints: The Impact of Passenger Transportation on Corporate Locations," Review of Finance, European Finance Association, vol. 27(3), pages 1119-1154.
    16. Gao, Yanyan & Zheng, Jianghuai & Wang, Xin, 2022. "Does high-speed rail reduce environmental pollution? Establishment-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    17. 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.
    18. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    19. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    20. Chen, Qifei & Wang, Meng, 2022. "Opening of high-speed rail and the consumer service industry: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 31-45.

    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:15:y:2023:i:22:p:16024-:d:1281767. 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.