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Enhancing Producer Service Distribution through High-Speed Railways: A Knowledge Economy Perspective

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  • Yanpeng Gou

    (University of Nottingham Ningbo China)

Abstract

This study aims to empirically examine the effect of high-speed railways (HSR) on the urban agglomeration of producer services. We analyze China’s urban panel data from 2003 to 2019 using a time-varying Difference-in-Differences (DID) model. Our findings indicate that as HSR networks expand across 282 cities, producer service agglomeration decreases significantly, resulting in a more balanced spatial distribution of these services. The analysis of heterogeneity indicates that low-level producer services have a greater impact than their advanced counterparts, particularly in the central and eastern regions. Our research highlights the significance of coordinating industry specialization, city levels, and regional dynamics in China’s future producer services development. The evidence indicates that the introduction of HSR systems contributes to the harmonization of the distribution of producer services to the advantage of both central and peripheral cities. Moreover, our findings highlight the potential for high-speed railways to promote sustained and robust economic growth by facilitating efficient factor flow. The study integrates knowledge economy perspectives with transportation advancements in this context, underscoring the intricate relationship between urbanization, economic dynamics, and knowledge-driven development.

Suggested Citation

  • Yanpeng Gou, 2024. "Enhancing Producer Service Distribution through High-Speed Railways: A Knowledge Economy Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 10296-10324, September.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01495-3
    DOI: 10.1007/s13132-023-01495-3
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    1. Chen, Cheng & D'Alfonso, Tiziana & Guo, Huanxiu & Jiang, Changmin, 2018. "Graph theoretical analysis of the Chinese high-speed rail network over time," Research in Transportation Economics, Elsevier, vol. 72(C), pages 3-14.
    2. Vickerman, Roger, 2018. "Can high-speed rail have a transformative effect on the economy?," Transport Policy, Elsevier, vol. 62(C), pages 31-37.
    3. Yang Chen & Nimesh Salike & Fushu Luan & Ming He, 2016. "Heterogeneous effects of inter- and intra-city transportation infrastructure on economic growth: Evidence from Chinese cities," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(3), pages 571-587.
    4. 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.
    5. Chia-Lin Chen & Anastasia Loukaitou-Sideris & José M. de Ureña & Roger Vickerman, 2019. "Spatial short and long-term implications and planning challenges of high-speed rail: a literature review framework for the special issue," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 415-433, March.
    6. Longcan Zou & Jim Huangnan Shen & Jun Zhang & Chien‐Chiang Lee, 2022. "What is the rationale behind China's infrastructure investment under the Belt and Road Initiative," Journal of Economic Surveys, Wiley Blackwell, vol. 36(3), pages 605-633, July.
    7. Richard Shearmur & David Doloreux, 2015. "Knowledge-Intensive Business Services (KIBS) Use and User Innovation: High-Order Services, Geographic Hierarchies and Internet Use in Quebec's Manufacturing Sector," Regional Studies, Taylor & Francis Journals, vol. 49(10), pages 1654-1671, October.
    8. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    9. 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.
    10. David Doloreux & Richard Shearmur, 2010. "Exploring and comparing innovation patterns across different knowledge intensive business services," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(7), pages 605-625.
    11. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    12. Jun‐Teng Ma & Tie‐Ying Liu, 2022. "Does the high‐speed rail network improve economic growth?," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 183-208, February.
    13. Rokicki, Bartlomiej & Stępniak, Marcin, 2018. "Major transport infrastructure investment and regional economic development – An accessibility-based approach," Journal of Transport Geography, Elsevier, vol. 72(C), pages 36-49.
    14. Lin, Yatang & Qin, Yu & Xie, Zhuan, 2021. "Does foreign technology transfer spur domestic innovation? Evidence from the high-speed rail sector in China," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 212-229.
    15. Hiramatsu, Tomoru, 2018. "Job and population location choices and economic scale as effects of high speed rail: Simulation analysis of Shinkansen in Kyushu, Japan," Research in Transportation Economics, Elsevier, vol. 72(C), pages 15-26.
    16. Matas, Anna & Raymond, Josep Lluis & Roig, José Luis, 2020. "Evaluating the impacts of HSR stations on the creation of firms," Transport Policy, Elsevier, vol. 99(C), pages 396-404.
    17. Norbert Szabó & Richárd Farkas & Attila Varga, 2021. "The economic effects of passenger transport infrastructure investments in lagging regions. Would the increase in commuting be beneficial for regional development?," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2099-2123, December.
    18. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    19. 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.
    20. Rui Xie & Siling Yao & Feng Han & Jiayu Fang, 2019. "Land Finance, Producer Services Agglomeration, and Green Total Factor Productivity," International Regional Science Review, , vol. 42(5-6), pages 550-579, September.
    21. Pengjun Zhao & Bin Lu & Gert de Roo, 2011. "The impact of urban growth on commuting patterns in a restructuring city: Evidence from Beijing," Papers in Regional Science, Wiley Blackwell, vol. 90(4), pages 735-754, November.
    22. Ben Derudder & Peter J. Taylor, 2018. "Central flow theory: comparative connectivities in the world-city network," Regional Studies, Taylor & Francis Journals, vol. 52(8), pages 1029-1040, August.
    23. 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).
    24. Zhang, Jing & Liang, Xiong-jian, 2012. "Promoting green ICT in China: A framework based on innovation system approaches," Telecommunications Policy, Elsevier, vol. 36(10), pages 997-1013.
    25. 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.
    26. Chong Ye & Yanhong Zheng & Shanlang Lin & Zhaoyang Zhao, 2022. "The Impact of High-Speed Railway Opening on Regional Economic Growth: The Case of the Wuhan–Guangzhou High-Speed Railway Line," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    27. Sun, Yu & Cui, Yin, 2018. "Evaluating the coordinated development of economic, social and environmental benefits of urban public transportation infrastructure: Case study of four Chinese autonomous municipalities," Transport Policy, Elsevier, vol. 66(C), pages 116-126.
    28. Pokharel, Ramesh & Bertolini, Luca & te Brömmelstroet, Marco & Acharya, Surya Raj, 2021. "Corrigendum to ’Spatio-temporal evolution of cities and regional economic development in Nepal: Does transport infrastructure matter?’," Journal of Transport Geography, Elsevier, vol. 91(C).
    29. Smith, Göran & Sochor, Jana & Karlsson, I.C. MariAnne, 2018. "Mobility as a Service: Development scenarios and implications for public transport," Research in Transportation Economics, Elsevier, vol. 69(C), pages 592-599.
    30. 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).
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