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How does high-speed rail affect off-site investments? Evidence from the Yangtze River Delta, China

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  • Jiao, Jingjuan
  • Zhao, Hongyu
  • Lyu, Guowei

Abstract

This study investigates the influence of high-speed rail (HSR) on off-site investments (OSI) in the context of the Yangtze River Delta (YRD) urban agglomeration. Using a comprehensive dataset of OSI activities between 2008 and 2018, we employ negative binomial regression models to examine the heterogeneous effects of HSR on OSI. Our findings reveal significant positive effects of HSR on OSI in the central region of the YRD, with shorter HSR travel times and higher train frequencies further enhancing these effects. We find that medium-sized enterprises, non-state-owned enterprises, and firms in the producer service industry exhibit greater responsiveness to HSR in terms of OSI. We also observe the coexistence of both siphon and diffusion effects of HSR on OSI in the YRD, with the diffusion effect dominating. This suggests that HSR primarily promotes OSI flows from developed areas to less developed areas, contributing to regional integration and reducing disparities. Lastly, we find that the factor flow (specifically labours and innovations), agglomeration externality, and market potential play significant mediating roles in HSR’s impacts on OSI. Our study contributes to a deeper understanding of the complex relationship between HSR and OSI, providing valuable insights for policymakers in the central region of the YRD and similar regions. We highlight the importance of context-sensitive approaches when coordinating HSR development with other regional policies. And we underscore the need for policymakers to make a balance between short-term and long-lagged-term considerations when maximizing the benefits of HSR.

Suggested Citation

  • Jiao, Jingjuan & Zhao, Hongyu & Lyu, Guowei, 2024. "How does high-speed rail affect off-site investments? Evidence from the Yangtze River Delta, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:transa:v:181:y:2024:i:c:s0965856424000260
    DOI: 10.1016/j.tra.2024.103978
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    as
    1. Yan, Linnan & Tu, Menger & Chagas, André L.S. & Tai, Lufeng, 2022. "The impact of high-speed railway on labor spatial misallocation—Based on spatial difference-in-differences analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 82-97.
    2. Zhang, Fangni & Yang, Zhiwei & Jiao, Jingjuan & Liu, Wei & Wu, Wenjie, 2020. "The effects of high-speed rail development on regional equity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 180-202.
    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. Hong, Junjie, 2007. "Transport and the location of foreign logistics firms: The Chinese experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 597-609, July.
    5. Laird, James J. & Venables, Anthony J., 2017. "Transport investment and economic performance: A framework for project appraisal," Transport Policy, Elsevier, vol. 56(C), pages 1-11.
    6. Begoña Guirao & Natalia Casado-Sanz & Juan Luis Campa, 2020. "Labour opportunities provided by Spanish high-speed rail (HSR) commuting services in a period of financial crisis: an approach based on regional wage disparities and housing rental prices," Regional Studies, Taylor & Francis Journals, vol. 54(4), pages 539-549, April.
    7. Thomas J. Holmes & John J. Stevens, 2002. "Geographic Concentration and Establishment Scale," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 682-690, November.
    8. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
    9. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    10. 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.
    11. Liu, Zhongmei & Zhu, A-Xing & Zhang, Wenxin & Ren, Mei, 2021. "An improved potential-based approach to measuring the daily accessibility of HSR," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 271-284.
    12. Ignat Stepanok, 2015. "Cross-border Mergers and Greenfield Foreign Direct Investment," Review of International Economics, Wiley Blackwell, vol. 23(1), pages 111-136, February.
    13. 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.
    14. 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.
    15. Andrew B. Bernard & Andreas Moxnes & Yukiko U. Saito, 2019. "Production Networks, Geography, and Firm Performance," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 639-688.
    16. Liu, Shuli & Wan, Yulai & Zhang, Anming, 2020. "Does China’s high-speed rail development lead to regional disparities? A network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 299-321.
    17. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    18. Yi Zhu & Mi Diao & Gang Fu, 2016. "The evolution of accessibility surface of China in the high-speed-rail era," Environment and Planning A, , vol. 48(11), pages 2108-2111, November.
    19. Shang, Duo & Yuan, Dongliang & Li, Dehui & Lin, Qi, 2023. "Independent directors’ geographic distance, high-speed railway, and corporate cash holdings," Economic Modelling, Elsevier, vol. 121(C).
    20. Pauline Charnoz & Claire Lelarge & Corentin Trevien, 2018. "Communication Costs and the Internal Organisation of Multi†plant Businesses: Evidence from the Impact of the French High†speed Rail," Economic Journal, Royal Economic Society, vol. 128(610), pages 949-994, May.
    21. Jasper Willigers & Han Floor & Bert van Wee, 2007. "Accessibility Indicators for Location Choices of Offices: An Application to the Intraregional Distributive Effects of High-Speed Rail in the Netherlands," Environment and Planning A, , vol. 39(9), pages 2086-2898, September.
    22. 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).
    23. Ron Martin & Peter Sunley, 2003. "Deconstructing clusters: chaotic concept or policy panacea?," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 5-35, January.
    24. Linnan Yan & Menger Tu & Andre Luis Squarize Chagas & Lufeng Tai, 2022. "The Impact of High-Speed Rail on Labor Spatial Misallocation– Based on Spatial Difference-in-Differences Analysis," Working Papers, Department of Economics 2022_19, University of São Paulo (FEA-USP).
    25. Lelarge, Claire & Charnoz, Pauline & Trevien, Corentin, 2018. "Communication Costs and the Internal Organization of Multi-Plant Businesses: Evidence from the Impact of the French High-Speed," CEPR Discussion Papers 12585, C.E.P.R. Discussion Papers.
    26. 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.
    27. Zhang, Yuxin & Xu, Dafeng, 2023. "Service on the rise, agriculture and manufacturing in decline: The labor market effects of high-speed rail services in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    28. Ron Martin & Peter Sunley, 1998. "Slow Convergence? The New Endogenous Growth Theory and Regional Development," Economic Geography, Taylor & Francis Journals, vol. 74(3), pages 201-227, July.
    29. Zhou, Zhengyi & Zhang, Anming, 2021. "High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 98-113.
    30. José María Liberti & Mitchell A Petersen, 2019. "Information: Hard and Soft," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 8(1), pages 1-41.
    31. Kini, Omesh & Williams, Ryan, 2012. "Tournament incentives, firm risk, and corporate policies," Journal of Financial Economics, Elsevier, vol. 103(2), pages 350-376.
    32. 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).
    33. Huang, Zhonghua & Du, Xuejun, 2021. "How does high-speed rail affect land value? Evidence from China," Land Use Policy, Elsevier, vol. 101(C).
    34. Junmei Cheng & Zhenhua Chen, 2022. "Socioeconomic impact assessments of high-Speed rail: A meta-Analysis," Transport Reviews, Taylor & Francis Journals, vol. 42(4), pages 467-502, July.
    35. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    36. Li, Hongchang & Strauss, Jack & Shunxiang, Hu & Lui, Lu, 2018. "Do high-speed railways lead to urban economic growth in China? A panel data study of China’s cities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 70-89.
    37. Xiong, Jiacai & Ouyang, Caiyue & Tong, Jamie Yixing & Zhang, Feida Frank, 2021. "Fraud commitment in a smaller world: Evidence from a natural experiment," Journal of Corporate Finance, Elsevier, vol. 70(C).
    38. Guo, Yunxiang & Yu, Wenhao & Chen, Zhanlong & Zou, Renwei, 2020. "Impact of high-speed rail on urban economic development: An observation from the Beijing-Guangzhou line based on night-time light images," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    39. Rangel, Thais & Manuel Vassallo, José, 2015. "Modeling the effect of contractual incentives on road safety performance," Transport Policy, Elsevier, vol. 40(C), pages 17-23.
    40. 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).
    41. Kuang, Chun & Liu, Zijie & Zhu, Wenyu, 2021. "Need for speed: High-speed rail and firm performance," Journal of Corporate Finance, Elsevier, vol. 66(C).
    42. Di Matteo, Dante & Cardinale, Bernardo, 2023. "Impact of high-speed rail on income inequalities in Italy," Journal of Transport Geography, Elsevier, vol. 111(C).
    43. Sergio Correia & Paulo Guimarães & Tom Zylkin, 2020. "Fast Poisson estimation with high-dimensional fixed effects," Stata Journal, StataCorp LP, vol. 20(1), pages 95-115, March.
    44. 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.
    45. Marius Brülhart, 1998. "Economic Geography, Industry Location and Trade: The Evidence," The World Economy, Wiley Blackwell, vol. 21(6), pages 775-801, August.
    46. Bellak, Christian & Leibrecht, Markus & Riedl, Aleksandra, 2008. "Labour costs and FDI flows into Central and Eastern European Countries: A survey of the literature and empirical evidence," Structural Change and Economic Dynamics, Elsevier, vol. 19(1), pages 17-37, March.
    47. 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.
    48. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    49. 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).
    50. Wu, Yizhong & Lee, Chien-Chiang & Lee, Chi-Chuan & Peng, Diyun, 2022. "Geographic proximity and corporate investment efficiency: Evidence from high-speed rail construction in China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    51. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    52. Max-Peter Menzel, 2015. "Interrelating Dynamic Proximities by Bridging, Reducing and Producing Distances," Regional Studies, Taylor & Francis Journals, vol. 49(11), pages 1892-1907, November.
    53. 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.
    54. Tang, Zhaopei & Wang, Liehui & Wu, Wei, 2023. "The impact of high-speed rail on urban carbon emissions: Evidence from the Yangtze River Delta," Journal of Transport Geography, Elsevier, vol. 110(C).
    55. 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.
    56. (Ato) Xu, Wangtu & Zhou, Jiangping & Yang, Linchuan & Li, Ling, 2018. "The implications of high-speed rail for Chinese cities: Connectivity and accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 308-326.
    57. (Ato) Xu, Wangtu & Huang, Ying, 2019. "The correlation between HSR construction and economic development – Empirical study of Chinese cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 24-36.
    58. Junjie Hong, 2007. "Firm-specific Effects on Location Decisions of Foreign Direct Investment in China's Logistics Industry," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 673-683.
    59. Zhi Da & Umit G. Gurun & Bin Li & Mitch Warachka, 2021. "Investment in a Smaller World: The Implications of Air Travel for Investors and Firms," Management Science, INFORMS, vol. 67(1), pages 417-435, January.
    60. Sahu, Saransh & Verma, Ashish, 2022. "Quantifying wider economic impacts of high-speed connectivity and accessibility: The case of the Karnataka high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 141-155.
    61. 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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