IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v145y2024icp11-24.html
   My bibliography  Save this article

Does China's high-speed rail network promote inter-city technology transfer? ——A multilevel network analysis based on the electronic information industry

Author

Listed:
  • Li, Jing
  • Yu, Qian
  • Ma, Ding

Abstract

Even though the influence of high-speed rail (HSR) on innovation has drawn sustained attention, few studies have investigated the effect on technology transfer (TT), and even fewer studies have examined the structural dependency between transportation and TT. Using the exponential random graph model for multilevel networks, this study attempts to provide an in-depth analysis of the impact from a two-level network perspective, with the associated network configuration providing insights into how HSR shapes intercity TT. Our findings suggest that HSR facilitates inter-city TT and promotes innovation convergence. Specifically, cities with a higher degree centrality are more active in exporting technology rather than absorbing it. In contrast, the betweenness and closeness centrality of cities have no significant effect on TT. The effect of HSR, which is apparent among cities with direct connections along HSR lines, decays significantly in cities with indirect connections. This work allows for the identification of the conducive HSR layout for promoting inter-regional TT.

Suggested Citation

  • Li, Jing & Yu, Qian & Ma, Ding, 2024. "Does China's high-speed rail network promote inter-city technology transfer? ——A multilevel network analysis based on the electronic information industry," Transport Policy, Elsevier, vol. 145(C), pages 11-24.
    • Handle: RePEc:eee:trapol:v:145:y:2024:i:c:p:11-24
    DOI: 10.1016/j.tranpol.2023.09.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X23002536
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.09.015?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. Meisam Akbarzadeh & Soroush Memarmontazerin & Sybil Derrible & Sayed Farzin Salehi Reihani, 2019. "Correction to: The role of travel demand and network centrality on the connectivity and resilience of an urban street system," Transportation, Springer, vol. 46(5), pages 1969-1969, October.
    2. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    3. Figueroa, Nicolás & Serrano, Carlos J., 2019. "Patent trading flows of small and large firms," Research Policy, Elsevier, vol. 48(7), pages 1601-1616.
    4. Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rails and knowledge productivity: A global perspective," Transport Policy, Elsevier, vol. 101(C), pages 174-186.
    5. 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).
    6. 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.
    7. 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.
    8. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    9. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    10. Wang, Xu & Xie, Zhuan & Zhang, Xiaobo & Huang, Yiping, 2018. "Roads to innovation: Firm-level evidence from People's Republic of China (PRC)," China Economic Review, Elsevier, vol. 49(C), pages 154-170.
    11. Geldes, Cristian & Felzensztein, Christian & Turkina, Ekaterina & Durand, Aurélia, 2015. "How does proximity affect interfirm marketing cooperation? A study of an agribusiness cluster," Journal of Business Research, Elsevier, vol. 68(2), pages 263-272.
    12. Carlos J. Serrano, 2010. "The dynamics of the transfer and renewal of patents," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 686-708, December.
    13. Zhang, Weike & Tian, Xiaoli & Yu, Ao, 2020. "Is high-speed rail a catalyst for the fourth industrial revolution in China? Story of enhanced technology spillovers from venture capital," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    14. 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.
    15. 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.
    16. Hunter, David R. & Goodreau, Steven M. & Handcock, Mark S., 2008. "Goodness of Fit of Social Network Models," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 248-258, March.
    17. Zhang, Xuezhi & Wu, Wenxin & Zhou, Zixun & Yuan, Lin, 2020. "Geographic proximity, information flows and corporate innovation: Evidence from the high-speed rail construction in China," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    18. Wang, Jiating & Cai, Siyuan, 2020. "The construction of high-speed railway and urban innovation capacity: Based on the perspective of knowledge Spillover," China Economic Review, Elsevier, vol. 63(C).
    19. Calzada-Infante, L. & Adenso-Díaz, B. & García Carbajal, S., 2020. "Analysis of the European international railway network and passenger transfers," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    20. Efrat Blumenfeld-Lieberthal, 2009. "The Topology of Transportation Networks: A Comparison Between Different Economies," Networks and Spatial Economics, Springer, vol. 9(3), pages 427-458, September.
    21. Scuotto, Veronica & Beatrice, Orlando & Valentina, Cillo & Nicotra, Melita & Di Gioia, Leonardo & Farina Briamonte, Massimiliano, 2020. "Uncovering the micro-foundations of knowledge sharing in open innovation partnerships: An intention-based perspective of technology transfer," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    22. 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).
    23. Zhang, X. & Miller-Hooks, E. & Denny, K., 2015. "Assessing the role of network topology in transportation network resilience," Journal of Transport Geography, Elsevier, vol. 46(C), pages 35-45.
    24. Zhaorui Guo & Kam C. Chan & Jun Huang, 2021. "The impact of executive diversity on corporate innovation: Evidence from the natural experiment of high‐speed rail in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 219-234, January.
    25. David J. Teece, 2008. "Technology Transfer By Multinational Firms: The Resource Cost Of Transferring Technological Know-How," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 1, pages 1-22, World Scientific Publishing Co. Pte. Ltd..
    26. Ma, Ding & Yu, Qian & Li, Jing & Ge, Mengni, 2021. "Innovation diffusion enabler or barrier: An investigation of international patenting based on temporal exponential random graph models," Technology in Society, Elsevier, vol. 64(C).
    27. 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.
    28. 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.
    29. Komikado, Hiroshi & Morikawa, So & Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    30. Leonidas Siozos-Rousoulis & Dimitri Robert & Wouter Verbeke, 2021. "A study of the U.S. domestic air transportation network: temporal evolution of network topology and robustness from 2001 to 2016," Journal of Transportation Security, Springer, vol. 14(1), pages 55-78, June.
    31. Meisam Akbarzadeh & Soroush Memarmontazerin & Sybil Derrible & Sayed Farzin Salehi Reihani, 2019. "The role of travel demand and network centrality on the connectivity and resilience of an urban street system," Transportation, Springer, vol. 46(4), pages 1127-1141, August.
    32. Chengliang Liu & Caicheng Niu & Ji Han, 2019. "Spatial Dynamics of Intercity Technology Transfer Networks in China’s Three Urban Agglomerations: A Patent Transaction Perspective," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    33. Wetwitoo, Jetpan, 2019. "Industrial Specialization or Diversity? How High-Speed Rail Fosters Japan’s Regional Agglomeration Economy," ADBI Working Papers 954, Asian Development Bank Institute.
    34. Hu, Yong & Fisher-Vanden, Karen & Su, Baozhong, 2020. "Technological spillover through industrial and regional linkages: Firm-level evidence from China," Economic Modelling, Elsevier, vol. 89(C), pages 523-545.
    35. Bozeman, Barry, 2000. "Technology transfer and public policy: a review of research and theory," Research Policy, Elsevier, vol. 29(4-5), pages 627-655, April.
    36. repec:dau:papers:123456789/1095 is not listed on IDEAS
    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. 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).
    2. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    3. Ziyang Chen & Xiao Feng & Ziwen He, 2022. "A Key to Stimulate Green Technology Innovation in China: The Expansion of High-Speed Railways," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
    4. Jin, Wenwan & Zhu, Shengjun, 2023. "High-speed rail network and regional convergence/divergence in industrial structure," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    5. 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.
    6. Wu, Xiaokang & Yang, Jijun, 2023. "High-speed railway and patent trade in China," Economic Modelling, Elsevier, vol. 123(C).
    7. 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.
    8. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    9. 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).
    10. 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.
    11. Na Li & Haiyan Lu & Yongxin Lv, 2022. "High-Speed Railway Facilities, Intercity Accessibility and Urban Innovation Level—Evidence from Cities in Three Chinese Megacity Regions," Land, MDPI, vol. 11(8), pages 1-16, July.
    12. Wu, Rong & Li, Yingcheng & Wang, Shaojian, 2022. "Will the construction of high-speed rail accelerate urban land expansion? Evidences from Chinese cities," Land Use Policy, Elsevier, vol. 114(C).
    13. Chen Wang & Jack Strauss & Lei Zheng, 2021. "High-Speed Railway Opening and Corporate Fraud," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    14. 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.
    15. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    16. 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).
    17. Zhao, Yun & Yu, Hongbo, 2018. "A door-to-door travel time approach for evaluating modal competition of intercity travel: A focus on the proposed Dallas-Houston HSR route," Journal of Transport Geography, Elsevier, vol. 72(C), pages 13-22.
    18. Miwa, Norihiro & Bhatt, Ayushman & Morikawa, So & Kato, Hironori, 2022. "High-Speed rail and the knowledge economy: Evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 398-416.
    19. 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.
    20. 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.

    More about this item

    Keywords

    High-speed rail; Technology transfer; Exponential random graph models; Multilevel networks; Spatial pattern; Boundary;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    Statistics

    Access and download statistics

    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:trapol:v:145:y:2024:i:c:p:11-24. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.