IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v67y2021ics0160791x21002359.html
   My bibliography  Save this article

Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities

Author

Listed:
  • Tang, Chenghui
  • Guan, Mingming
  • Dou, Jianmin

Abstract

Transportation infrastructure and innovation play an important role in promoting regional economic growth. However, previous studies have mainly focused on the economic agglomeration by increased accessibility, but ignored the important on inter-city economic linkages and the network externalities it generated. Based on the externality perspective, this paper uses the propensity score matching model (PSM-DID) and spatial econometric model to analyze the heterogeneous impact of HSR opening on urban innovation performance and compare the differential effects of agglomeration externalities and network externalities on knowledge spillovers. The empirical results suggest the following: (1) The opening of HSR significantly improves urban innovation performance, but there is significant spatial heterogeneity. (2) The opening of HSR not only promotes the agglomeration of production factors to cities, but also strengthens inter-city economic connections, thus improving urban innovation performance through agglomeration externalities and network externalities. However, compared to agglomeration externalities, network externalities have a superior strength of impact on urban innovation performance. (3) From the dynamic effect perspective, the opening of HSR has a hysteresis effect on urban innovation of 2–3 years, and differences exist between cities.

Suggested Citation

  • Tang, Chenghui & Guan, Mingming & Dou, Jianmin, 2021. "Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities," Technology in Society, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21002359
    DOI: 10.1016/j.techsoc.2021.101760
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X21002359
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2021.101760?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. 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).
    2. Sheng-qiang Jiang & An-na Shi & Zhi-hang Peng & Xin Li, 2017. "Major factors affecting cross-city R&D collaborations in China: evidence from cross-sectional co-patent data between 224 cities," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1251-1266, June.
    3. Paul T E Cusack, 2020. "On Pain," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24253-24254, October.
    4. Evert Meijers & Martijn Burger & Edward L. Glaeser & Giacomo A. M. Ponzetto & Yimei Zou, 2016. "Urban networks: Connecting markets, people, and ideas," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 17-59, March.
    5. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    6. Audretsch, David B & Feldman, Maryann P, 1996. "R&D Spillovers and the Geography of Innovation and Production," American Economic Review, American Economic Association, vol. 86(3), pages 630-640, June.
    7. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    8. 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.
    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. Jetpan Wetwitoo & Hironori Kato, 2017. "Inter-regional transportation and economic productivity: a case study of regional agglomeration economies in Japan," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 321-344, September.
    11. Evert Meijers & Martijn Burger & Michiel Meeteren & Zachary Neal & Ben Derudder, 2016. "Disentangling agglomeration and network externalities: A conceptual typology," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 61-80, March.
    12. Shuai Shi & Kathy Pain, 2020. "Investigating China’s Mid-Yangtze River economic growth region using a spatial network growth model," Urban Studies, Urban Studies Journal Limited, vol. 57(14), pages 2973-2993, November.
    13. 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.
    14. Nicola Cortinovis & Frank van Oort, 2019. "Between spilling over and boiling down: network-mediated spillovers, local knowledge base and productivity in European regions," Journal of Economic Geography, Oxford University Press, vol. 19(6), pages 1233-1260.
    15. Chia-Lin Chen & Roger Vickerman, 2017. "Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 144-160, January.
    16. Koen Frenken & Frank Van Oort & Thijs Verburg, 2007. "Related Variety, Unrelated Variety and Regional Economic Growth," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 685-697.
    17. Andreas Pyka & Muhamed Kudic & Matthias Mueller, 2019. "Systemic interventions in regional innovation systems: entrepreneurship, knowledge accumulation and regional innovation," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1321-1332, September.
    18. Lei Sun, 2020. "Economic Growth and Development," Palgrave Studies in Economic History, Palgrave Macmillan, number 978-3-030-46099-0.
    19. Emira Becic & Jadranka Svarc, 2010. "Smart specialisation: some considerations of the Croatian practice," International Journal of Transitions and Innovation Systems, Inderscience Enterprises Ltd, vol. 1(1), pages 25-43.
    20. Peter J Taylor, 2009. "Urban Economics in Thrall to Christaller: A Misguided Search for City Hierarchies in External Urban Relations," Environment and Planning A, , vol. 41(11), pages 2550-2555, November.
    21. Agrawal, Ajay & Cockburn, Iain & Galasso, Alberto & Oettl, Alexander, 2014. "Why are some regions more innovative than others? The role of small firms in the presence of large labs," Journal of Urban Economics, Elsevier, vol. 81(C), pages 149-165.
    22. Hodgson, Charles, 2018. "The effect of transport infrastructure on the location of economic activity: Railroads and post offices in the American West," Journal of Urban Economics, Elsevier, vol. 104(C), pages 59-76.
    23. Peter Sunley, 2008. "Relational Economic Geography: A Partial Understanding or a New Paradigm?," Economic Geography, Taylor & Francis Journals, vol. 84(1), pages 1-26, January.
    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. Cui, Wenyue & Tang, Jie, 2023. "Innovation convergence clubs and their driving factors within urban agglomeration," Economic Modelling, Elsevier, vol. 121(C).
    2. 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).
    3. Tang, Chenghui & Qiu, Peng & Dou, Jianmin, 2022. "The impact of borders and distance on knowledge spillovers — Evidence from cross-regional scientific and technological collaboration," Technology in Society, Elsevier, vol. 70(C).
    4. Gao, Kang & Yuan, Yijun, 2022. "Government intervention, spillover effect and urban innovation performance: Empirical evidence from national innovative city pilot policy in China," Technology in Society, Elsevier, vol. 70(C).
    5. Yu Zhang & Xi Cai & Yanying Mao & Liudan Jiao & Liu Wu, 2023. "What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective," Land, MDPI, vol. 12(8), pages 1-18, July.
    6. Rategh, Yalda & Tamannaei, Mohammad & Zarei, Hamid, 2022. "A game-theoretic approach to an oligopolistic transportation market: Coopetition between incumbent systems subject to the entrance threat of an HSR service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 144-171.
    7. Zhao, Junfeng & Yan, Jinling & Ran, Qiying & Yang, Xiaodong & Su, Xufeng & Shen, Jianliang, 2022. "Does the opening of high-speed railways improve urban livability? Evidence from a quasi-natural experiment in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    8. Wenfang Fu & Chuanjian Luo & Shan He, 2022. "Does Urban Agglomeration Promote the Development of Cities? An Empirical Analysis Based on Spatial Econometrics," Sustainability, MDPI, vol. 14(21), pages 1-23, November.
    9. Yingjuan Li & Qiong Lin & Jianyu Zhang & Liuhua Fang & Yi Li & Lianjun Zhang & Chuanhao Wen, 2023. "Convergence Analysis of the Overall Benefits of Returning Farmland into Forest in the Upper Yangtze River Basin, China," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    10. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    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. Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    13. Li, Lei & Ma, Shaojun & Zheng, Yilin & Ma, Xiaoyu & Duan, Kaifeng, 2022. "Do regional integration policies matter? Evidence from a quasi-natural experiment on heterogeneous green innovation," Energy Economics, Elsevier, vol. 116(C).
    14. 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.
    15. Jinliang Jiang & Zhensheng Xu & Jiayi Lu & Dongqi Sun, 2022. "Does Network Externality of Urban Agglomeration Benefit Urban Economic Growth—A Case Study of the Yangtze River Delta," Land, MDPI, vol. 11(4), pages 1-19, April.
    16. Wenfang Fu & Chuanjian Luo & Modan Yan, 2023. "Does Urban Agglomeration Promote the Development of Cities? Evidence from the Urban Network Externalities," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

    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. Jinliang Jiang & Zhensheng Xu & Jiayi Lu & Dongqi Sun, 2022. "Does Network Externality of Urban Agglomeration Benefit Urban Economic Growth—A Case Study of the Yangtze River Delta," Land, MDPI, vol. 11(4), pages 1-19, April.
    2. Matthias Firgo & Peter Mayerhofer, 2015. "Wissens-Spillovers und regionale Entwicklung - welche strukturpolitische Ausrichtung optimiert des Wachstum?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 144, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    3. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    4. 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.
    5. 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.
    6. Matthias Firgo & Peter Mayerhofer, 2015. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 1: Wissens-Spillovers und regionale Entwicklung – Welche strukturpolitische Ausrichtung optimiert das Wach," WIFO Studies, WIFO, number 58342, April.
    7. Wenfang Fu & Chuanjian Luo & Modan Yan, 2023. "Does Urban Agglomeration Promote the Development of Cities? Evidence from the Urban Network Externalities," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    8. 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.
    9. 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.
    10. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    11. 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.
    12. Qin, Xionghe & Wang, Xueli & Kwan, Mei-Po, 2023. "The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    13. 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).
    14. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    15. Ron Boschma & Ron Martin, 2010. "The Aims and Scope of Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 1, Edward Elgar Publishing.
    16. Aurélie LALANNE & Guillaume POUYANNE, 2012. "Ten years of metropolization in economics: a bibliometric approach (In French)," Cahiers du GREThA (2007-2019) 2012-11, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    17. Olof Ejermo & Katrin Hussinger & Basheer Kalash & Torben Schubert, 2022. "Innovation in Malmö after the Öresund Bridge," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 5-20, January.
    18. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 381-410, Elsevier.
    19. 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.
    20. Nicola Cortinovis & Riccardo Crescenzi & Frank van Oort, 2020. "Multinational enterprises, industrial relatedness and employment in European regions [Innovation: mapping the winds of creative destruction]," Journal of Economic Geography, Oxford University Press, vol. 20(5), pages 1165-1205.

    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:teinso:v:67:y:2021:i:c:s0160791x21002359. 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/technology-in-society .

    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.