IDEAS home Printed from https://ideas.repec.org/r/eee/tefoso/v167y2021ics0040162521001293.html
   My bibliography  Save this item

High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jin, Wenwan & Zhu, Shengjun, 2023. "High-speed rail network and regional convergence/divergence in industrial structure," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
  2. Ryota Nakatani, 2023. "Productivity drivers of infrastructure companies: Network industries utilizing economies of scale in the digital era," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(4), pages 1273-1298, December.
  3. Li, Kaiqin & Zhang, Xiaoling, 2024. "Does high-speed railway promote horizontal equity within and between cities? Evidence from China," Land Use Policy, Elsevier, vol. 144(C).
  4. Obschonka, Martin & Tavassoli, Sam & Rentfrow, P. Jason & Potter, Jeff & Gosling, Samuel D., 2023. "Innovation and inter-city knowledge spillovers: Social, geographical, and technological connectedness and psychological openness," Research Policy, Elsevier, vol. 52(8).
  5. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
  6. Nakatani, Ryota, 2022. "Productivity drivers of infrastructure companies: network industries to maximize economies of scale in the digital era," MPRA Paper 115531, University Library of Munich, Germany.
  7. Zhu, Ruoyu & Tan, Kehu & Xin, Xiaohui, 2024. "Speed up for sustainable development: High-speed rail and corporate ESG performance," Energy Economics, Elsevier, vol. 138(C).
  8. Jiayuan Cai & Chunchun Huang & Zilin Deng & Linna Li, 2023. "Transport Accessibility and Poverty Alleviation in Guizhou Province of China: Spatiotemporal Pattern and Impact Analysis," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
  9. 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.
  10. Fan, Xiaomin & Xu, Yingzhi, 2024. "How does the opening of high-speed railway affect the regional pollution gap in China? From the perspective of knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  11. 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.
  12. Wang, Jingyuan & Terabe, Shintaro & Yaginuma, Hideki & Uno, Haruka & Suzuki, Yu, 2024. "Do high-speed railways have an impact on population change? evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
  13. LUO, Jiahui & TAN, Zhixiong, 2024. "Influence of dialect diversity on level of urban innovation—Empirical evidence based on 276 cities in China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  14. 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).
  15. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
  16. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
  17. Shuji Sugimori & Yoshitsugu Hayashi & Hiroyuki Takeshita & Tomohiko Isobe, 2022. "Evaluating the Regional Economic Impacts of High-Speed Rail and Interregional Disparity: A Combined Model of I/O and Spatial Interaction," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
  18. Liwen Liu & Ming Zhang, 2021. "The Impacts of High-Speed Rail on Regional Accessibility and Spatial Development—Updated Evidence from China’s Mid-Yangtze River City-Cluster Region," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
  19. Xingji Lu & Jinhua Lu, 2023. "Experimental and Numerical Investigations of the Seismic Performance of Railway Gravity Piers with Low Reinforcement Ratios," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
  20. Wu, Xiaokang & Yang, Jijun, 2023. "High-speed railway and patent trade in China," Economic Modelling, Elsevier, vol. 123(C).
  21. Guojie Ma & Jinxing Hu & Riquan Zhang, 2023. "Spatial-Temporal Distribution and Coupling Relationship of High-Speed Railway and Economic Networks in Metropolitan Areas of China," Land, MDPI, vol. 12(6), pages 1-23, June.
  22. Zhou, Qin & Cheng, Changgao & Fang, Zhou & Zhang, Hengquan & Xu, Yining, 2024. "How does the development of the digital economy affect innovation output? Exploring mechanisms from the perspective of regional innovation systems," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 1-17.
  23. Luo, Keyu & Wang, Qi & Liang, Chao, 2022. "The way to break the resource curse: New evidence from China," Resources Policy, Elsevier, vol. 79(C).
  24. Miwa, Norihiro & Bhatt, Ayushman & Morikawa, So & Kato, Hironori, 2022. "High-Speed rail and the knowledge economy: Evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 398-416.
  25. Li, He & Lu, Juan & Guo, Feiyu, 2022. "High speed rail and corporate social responsibility performance: Analysis of intra-regional location and inter-regional spillover," Transport Policy, Elsevier, vol. 128(C), pages 65-75.
  26. Li, Jing & Yu, Qian & Ma, Ding, 2024. "Does China's high-speed rail network promote inter-city technology transfer? ——A multilevel network analysis based on the electronic information industry," Transport Policy, Elsevier, vol. 145(C), pages 11-24.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.