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Does high-speed railway promote urban innovation? Evidence from China

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  • Fan, Xiaomin
  • Xu, Yingzhi

Abstract

Empirical discussion in the existing literature on the relationship between transportation infrastructure and innovation remains limited. As one of the most important transport infrastructures, China's high-speed railway (HSR) has greatly compressed the space-time distance and strengthened the linkages between cities, which may contribute to innovation activities. Using the panel data of 285 Chinese prefecture-level and above cities and employing the difference-in-differences (DID) model, this paper examines the impact of HSR opening and HSR service intensity on the urban innovation. Propensity score matching (PSM) together with DID (PSM-DID) method is utilized to address the potential estimation biases. The empirical results demonstrate that HSR has significantly improved the level of urban innovation. Heterogeneity analysis finds that the promotion effects of HSR on innovation are more remarkable in peripheral and small cities. Moreover, the effects of HSR on cities far away from the central and large cities are with higher significance and greater magnitude than cities close to central and large cities. For cities near central and large cities, the service intensity of HSR is more likely to improve their innovation level. In addition, we further find that service industries and private enterprises benefit more from the effect of HSR in promoting innovation. This study can provide robust evidence for the effect of HSR on promoting urban innovation, as well as policy enlightenment for innovation growth and sustainable economic development.

Suggested Citation

  • Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
  • Handle: RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122002658
    DOI: 10.1016/j.seps.2022.101464
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    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. Li, Xibao, 2015. "Specialization, institutions and innovation within China's regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 130-139.
    3. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    4. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
    5. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2014. "Localized Knowledge Spillovers and Patent Citations: A Distance-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 967-985, December.
    6. Jože.P.Damijan & Črt. Kostevc, 2010. "Learning from trade through innovation: Causal link between imports, exports and innovation in Spanish microdata," LICOS Discussion Papers 26410, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    7. 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.
    8. Alberto Abadie & Guido W. Imbens, 2016. "Matching on the Estimated Propensity Score," Econometrica, Econometric Society, vol. 84, pages 781-807, March.
    9. Li Yao & Jun Li, 2022. "Intercity innovation collaboration and the role of high-speed rail connections: evidence from Chinese co-patent data," Regional Studies, Taylor & Francis Journals, vol. 56(11), pages 1845-1857, November.
    10. Fujita, Masahisa & Mori, Tomoya, 1997. "Structural stability and evolution of urban systems," Regional Science and Urban Economics, Elsevier, vol. 27(4-5), pages 399-442, August.
    11. repec:fth:harver:1473 is not listed on IDEAS
    12. Gorodnichenko, Yuriy & Svejnar, Jan & Terrell, Katherine, 2020. "Do foreign investment and trade spur innovation?," European Economic Review, Elsevier, vol. 121(C).
    13. Rodríguez-Pose, Andrés & Lee, Neil, 2020. "Hipsters vs. geeks? Creative workers, STEM and innovation in US cities," LSE Research Online Documents on Economics 103974, London School of Economics and Political Science, LSE Library.
    14. repec:zbw:bofrdp:2015_027 is not listed on IDEAS
    15. Nicola Gennaioli & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2013. "Human Capital and Regional Development," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 105-164.
    16. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    17. Ajay Agrawal & Alberto Galasso & Alexander Oettl, 2017. "Roads and Innovation," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 417-434, July.
    18. Hanley, Douglas & Li, Jiancheng & Wu, Mingqin, 2022. "High-speed railways and collaborative innovation," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    19. Carlino, Gerald & Kerr, William R., 2015. "Agglomeration and Innovation," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 349-404, Elsevier.
    20. Chang, Chia-Lin & Oxley, Les, 2009. "Industrial agglomeration, geographic innovation and total factor productivity: The case of Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2787-2796.
    21. 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.
    22. ZHANG, Hongyong, 2015. "How does agglomeration promote the product innovation of Chinese firms?," China Economic Review, Elsevier, vol. 35(C), pages 105-120.
    23. 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.
    24. 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).
    25. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    26. 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.
    27. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    28. Carlino, Gerald A. & Chatterjee, Satyajit & Hunt, Robert M., 2007. "Urban density and the rate of invention," Journal of Urban Economics, Elsevier, vol. 61(3), pages 389-419, May.
    29. repec:zbw:bofrdp:urn:nbn:fi:bof-201512111472 is not listed on IDEAS
    30. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    31. Marrocu, Emanuela & Paci, Raffaele & Usai, Stefano, 2013. "Proximity, networking and knowledge production in Europe: What lessons for innovation policy?," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1484-1498.
    32. Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
    33. 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.
    34. Buesa, Mikel & Heijs, Joost & Baumert, Thomas, 2010. "The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach," Research Policy, Elsevier, vol. 39(6), pages 722-735, July.
    35. Fujita, Masahisa & Krugman, Paul & Mori, Tomoya, 1999. "On the evolution of hierarchical urban systems1," European Economic Review, Elsevier, vol. 43(2), pages 209-251, February.
    36. 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.
    37. Joshua D. Angrist & Jörn-Steffen Pischke, 2014. "Mastering ’Metrics: The Path from Cause to Effect," Economics Books, Princeton University Press, edition 1, number 10363.
    38. Garrison, William L. & Souleyrette, Reginald R. II, 1994. "The Relationship Between Transportation and Innovation," University of California Transportation Center, Working Papers qt9qw9d20n, University of California Transportation Center.
    39. 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.
    40. 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.
    41. Diao, Mi & Leonard, Delon & Sing, Tien Foo, 2017. "Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 64-77.
    42. Sun, Xiuli & Li, Haizheng & Ghosal, Vivek, 2020. "Firm-level human capital and innovation: Evidence from China," China Economic Review, Elsevier, vol. 59(C).
    43. Seongsoo Jang & Jinwon Kim & Max von Zedtwitz, 2017. "The importance of spatial agglomeration in product innovation: A microgeography perspective," Post-Print hal-02004347, HAL.
    44. Eric von Hippel, 1994. ""Sticky Information" and the Locus of Problem Solving: Implications for Innovation," Management Science, INFORMS, vol. 40(4), pages 429-439, April.
    45. Michael Fritsch & Viktor Slavtchev, 2011. "Determinants of the Efficiency of Regional Innovation Systems," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 905-918.
    46. 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).
    47. 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.
    48. Hamidi, Shima & Zandiatashbar, Ahoura & Bonakdar, Ahmad, 2019. "The relationship between regional compactness and regional innovation capacity (RIC): Empirical evidence from a national study," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 394-402.
    49. Stefano Usai, 2011. "The Geography of Inventive Activity in OECD Regions," Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 711-731.
    50. 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).
    51. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    52. INOUE Hiroyasu & NAKAJIMA Kentaro & SAITO Yukiko, 2017. "The Impact of the Opening of High-Speed Rail on Innovation," Discussion papers 17034, Research Institute of Economy, Trade and Industry (RIETI).
    53. Shi, Xinzheng & Xu, Zhufeng, 2018. "Environmental regulation and firm exports: Evidence from the eleventh Five-Year Plan in China," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 187-200.
    54. 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.
    55. Wang, Shaojian & Zeng, Jingyuan & Liu, Xiaoping, 2019. "Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 140-150.
    56. Tong, Tingting & Yu, T. Edward, 2018. "Transportation and economic growth in China: A heterogeneous panel cointegration and causality analysis," Journal of Transport Geography, Elsevier, vol. 73(C), pages 120-130.
    57. Dong, Xiaofang, 2018. "High-speed railway and urban sectoral employment in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 603-621.
    58. Un, C. Annique & Rodríguez, Alicia, 2018. "Local and Global Knowledge Complementarity: R&D Collaborations and Innovation of Foreign and Domestic Firms," Journal of International Management, Elsevier, vol. 24(2), pages 137-152.
    59. Danquah, Michael & Amankwah-Amoah, Joseph, 2017. "Assessing the relationships between human capital, innovation and technology adoption: Evidence from sub-Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 24-33.
    60. Caragliu, Andrea & Del Bo, Chiara F., 2019. "Smart innovative cities: The impact of Smart City policies on urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 373-383.
    61. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R&D, Patents, and Productivity, pages 73-88, National Bureau of Economic Research, Inc.
    62. Fu, Xiaolan & Gong, Yundan, 2011. "Indigenous and Foreign Innovation Efforts and Drivers of Technological Upgrading: Evidence from China," World Development, Elsevier, vol. 39(7), pages 1213-1225, July.
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