EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 275 (2021) E3S Web Conf., 275 (2021) 03051 References
Open Access
Issue
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
Article Number 03051
Number of page(s) 6
Section Environmental Protection and Governance Innovation Technology Research
DOI https://doi.org/10.1051/e3sconf/202127503051
Published online 21 June 2021
  1. Rostow, W.W. The stages of economic growth: a non-communist manifesto. Cambridge: Cambridge University Press (1960) [Google Scholar]
  2. Aschauer, D. A. Is public expenditure productive. Journal of Monetary Economics, 23(2):177-200 (1989) [Google Scholar]
  3. Donaldson, D. Railroads of the raj: estimating the impact of transportation infrastructure. American Economic Review, 108 (4/5):899-934 (2010) [Google Scholar]
  4. Baum-Snow, N. Did highways cause suburbanization. The Quarterly Journal of Economics, 122(2):775-805 (2007) [Google Scholar]
  5. Myrdal, G. Economic Theory and Underdeveloped Regions. London, Gerald Duckworth, p.168 (1957) [Google Scholar]
  6. Jacobs, J. The economy of cities. New York: Vintage (1969) [Google Scholar]
  7. Lucas, R. E. On the mechanics of economic development. Journal of Monetary Economics, Volume 22, 38–39 (1998) [Google Scholar]
  8. Olivier Crevoisier. Innovation and the City. Published in E.J. Malecki and P. Oinas (Eds.), Making connections: technological learning and regional economic change, Ashgate Publishing Company, 61-77 (1999) [Google Scholar]
  9. Maillat, D., Crevoisier, O. and Lecoq, B. 1991. Reseau d’innovation et dynamique territorial. Un essai de typologie, Revue d’Economie Regionale et Urbaine, NO. 3-4, pp. 407-432 [Google Scholar]
  10. Boyd Cohen, Esteve Almirall and Henry Chesbrough. The City as a Lab: Open Innovation Meets the Collaborative Economy. California Management Review, Vol. 59(1): 5-13 (2016) [CrossRef] [Google Scholar]
  11. Liu, S.L., Hu, A.G. Transportation infrastructure and Economic Growth: A perspective of China’s regional Disparities. China Industrial Economics, (04):14-23 (2010) [Google Scholar]
  12. Zhang, X.L. Does China’s transport Infrastructure promote regional economic growth? -on the Spatial Spillover effect of Transport Infrastructure. Social Sciences in China, (3):60-77 (2012) [Google Scholar]
  13. Feng, W., Xu, K.N. Transportation infrastructure and economic growth: a literature review. Industrial Economic Review, (3):61-70 (2013) [Google Scholar]
  14. Li, X.S., Sun, B.W. Does the opening of high-speed rail promote regional manufacturing agglomeration?---quasi-natural experimental research based on Beijing-Guangzhou high-speed railway. China Soft Science, (7): 81-90 (2017) [Google Scholar]
  15. Liu, Y.Z., Li, Y. High-speed railway construction and urban economic growth in China. Financial Research, (11): 18-33 (2017) [Google Scholar]
  16. Li, X.Z., Ji, X.L., Zhou, L.L. Can high-speed rail improve corporate resource allocation? -Evidence from China’s industrial enterprise database and highspeed railway geographic data. Economic Review, (6): 3-21 (2017) [Google Scholar]
  17. Sands, B. The development effects of high-speed rail stations and implications for California. Sacramento: California High Speed Rail Series, Berkely University of California, pp. 257-284 (1993) [Google Scholar]
  18. Chen, C. L., Hall, P. The impacts of high-speed trains on British economic geography: a study of the UK’s intercity 125 /225 and its effects. Journal of Transport Geography, 19 (4) : 689-704 (2011) [CrossRef] [Google Scholar]
  19. Krugman. Increasing returns and economic geography. Journal of Political Geography, 99:183-199 (1991) [Google Scholar]
  20. Chen, C. L., Hall, P. The Wider Spatial-economic Impacts of High-speed Trains: A Comparative Case Study of Manchester and Lille Subregions. Journal of Transport Geography, 24 (4) : 89-110 (2012) [CrossRef] [Google Scholar]
  21. Liu, F. High-speed rail, knowledge spill over and urban innovation and development -evidence from 278 cities in China. Finance and Trade Research, (4): 14-29 (2019) [Google Scholar]
  22. Wei, G.D., Li, X.M. Research on the Influence of high-speed railway knowledge spillover on tertiary industry agglomeration: An empirical study based on the Yangtze River Delta urban agglomeration. Inquiry into Economic Issues, (2): 130-136 (2019) [Google Scholar]
  23. Yang, S.Y., Li, Z. The opening of high-speed railway and urban innovation. Finance and Economics, (1): 87-99 (2019) [Google Scholar]
  24. Du, X.Q., Peng, M.W. Will the opening of highspeed railway promote the flow of senior talents? Business Management Journal, (12): 89-107 (2017) [Google Scholar]
  25. Antonio K.W., Lau A., William L. Regional innovation system, absorptive capacity and innovation performance: An empirical study. Technological Forecasting & Social Change, (92) :99–114 (2015) [Google Scholar]
  26. Vickerman, R. High-speed rail and regional development: the case of intermediate stations. Journal of Transport Geography, 42(6) : 157-165 (2015) [CrossRef] [Google Scholar]
  27. Gutiérrez, J., Gonzalez, R., & Gomez, G. The European high-speed train network: predicted effects on accessibility patterns. Journal of transport geography, 4(4):227-238 (1996) [CrossRef] [Google Scholar]
  28. Wang, Y.J., Yu, W. Research on spatial measurement of convergence of inter-provincial innovation TFP in China. Journal of Shandong University (Philosophy and Social Sciences edition), (01):43-49 (2017) [Google Scholar]
  29. Chen, J. Research on knowledge management and knowledge service in the construction of smart city. Posts and Telecom Press Co., LTD (2015) [Google Scholar]
  30. Glenn Athey, Max Nathan, Chris Webber & Sami Mahroum. Innovation and the city, Innovation, 10:156-169 (2008) [Google Scholar]
  31. Hoong Chor Chin, Mohammed Abdul Quddus. Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections, 35(2):253–259 (2003) [Google Scholar]
  32. AITIELU. China’s ranking of arrivals and departures of major railway stations (HSR) in 2018. [online] available for < http://www.aitielu.cn/?s=%E5%90%84%E5%A4%A7%E7%81%AB%E8%BD%A6%E7%AB%99%EF%BC%88%E9%AB%98%E9%93%81%E7%AB%99%EF%BC%89%E5%88%B0%E5%8F%91%E8%BD%A6%E6%AC%A1&submit=> [Accessed at 30/July/2020](2019) [Google Scholar]
  33. Jöreskog, K. G. Simultaneous factor analysis in several populations. Psychometrika, 36(4):409-426 (1971) [CrossRef] [Google Scholar]
  34. Fornell, C., & Larcker, D. F. Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(1): 382–388 (1981) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.