High-speed rails and knowledge productivity: A global perspective

被引:21
作者
Bhatt, Ayushman [1 ]
Kato, Hironori [1 ]
机构
[1] Univ Tokyo, Sch Engn, Dept Civil Engn, Bunkyo Ku, Hongo Campus,Bldg 11,3rd Floor,73-1 Hongo, Tokyo 1138656, Japan
基金
日本学术振兴会;
关键词
High-speed rail; Knowledge productivity; Quasi-experiments; Difference-in-differences; Matching; RESEARCH-AND-DEVELOPMENT; TERRITORIAL DYNAMICS; SPILLOVERS; INNOVATION; INFRASTRUCTURE; AGGLOMERATION; INVESTMENT; IMPACTS; STATES; CHINA;
D O I
10.1016/j.tranpol.2020.12.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study finds empirical macro-economic evidence for the effect of high-speed rails (HSRs) on national innovation through the analyses of 59 highand upper-middle-income countries. Knowledge productivity (KP) is assumed to be represented by annual patent applications per million capita. The associations between HSR development and KP are analyzed with three methods: (1) estimation of KP function using 10-year panel data, covering 14 countries with HSRs; (2) estimation of average treatment effect using difference-in-differences analysis for a treatment group of 15 and a control group of 44 countries; and (3) estimation of average treatment effect using matching techniques for a dataset covering 29 countries, of which 10 received treatment. The results of all three analyses covering about 40 years of HSRs' history, robustly suggest that HSR development can have positive externalities on KP both in the short and long runs. In addition, it is found that the HSRs' impacts on countries with upper-middle income and countries with high urban population growth are larger than other countries. They suggest that HSR development can be a part of national innovation policy and that upper-middleincome countries, highly urbanizing countries, and countries with insufficient inter-regional transportation systems can have advantages in HSR introduction for promoting knowledge productivity.
引用
收藏
页码:174 / 186
页数:13
相关论文
共 50 条
  • [31] High-Speed Rails, Labor Mobility and Within-Firm Pay Gap
    Kong, Gaowen
    Liu, Lihua
    Kong, Dongmin
    Zhang, Jian
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2024, 60 (05) : 1018 - 1034
  • [32] A fault prediction method for catenary of high-speed rails based on meteorological conditions
    Sheng Lin
    Qinyang Yu
    Zhen Wang
    Ding Feng
    Shibin Gao
    [J]. Journal of Modern Transportation, 2019, 27 : 211 - 221
  • [33] Need for speed: High-speed rail and firm performance
    Kuang, Chun
    Liu, Zijie
    Zhu, Wenyu
    [J]. JOURNAL OF CORPORATE FINANCE, 2021, 66
  • [34] Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor
    Di Matteo, Dante
    Mariotti, Ilaria
    Rossi, Federica
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 85
  • [35] High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan
    Komikado, Hiroshi
    Morikawa, So
    Bhatt, Ayushman
    Kato, Hironori
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 167
  • [36] Estimating the economic benefits of high-speed rail in China: A new perspective from the connectivity improvement
    Chong, Zhaohui
    Qin, Chenglin
    Chen, Zhenhua
    [J]. JOURNAL OF TRANSPORT AND LAND USE, 2019, 12 (01) : 287 - 302
  • [37] Can high-speed rail have a transformative effect on the economy?
    Vickerman, Roger
    [J]. TRANSPORT POLICY, 2018, 62 : 31 - 37
  • [38] Does China's high-speed rail development lead to regional disparities? A network perspective
    Liu, Shuli
    Wan, Yulai
    Zhang, Anming
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 138 : 299 - 321
  • [39] Can High-Speed Rail Help Achieve Urban Green Development? From a Spatial Perspective
    Liu, Shuai
    Zhang, Yumeng
    Cao, Jianhua
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [40] Impact of high-speed railway construction on spatial patterns of regional economic development along the route: A case study of the Shanghai-Kunming high-speed railway
    Wang, Chao
    Chen, Junjing
    Li, Boyan
    Chen, Nengcheng
    Wang, Wei
    [J]. SOCIO-ECONOMIC PLANNING SCIENCES, 2023, 87