REFERENCES
- Agrawal, A., & Goldfarb, A. (2008). Restructuring research: Communication costs and the democratization of university innovation. American Economic Review, 98(4), 1578–1590. https://doi.org/10.1257/aer.98.4.1578
- Bai, C.-E., Du, Y., Tao, Z., & Tong, S. Y. (2004). Local protectionism and regional specialization: Evidence from China’s industries. Journal of International Economics, 63(2), 397–417. https://doi.org/10.1016/S0022-1996(03)00070-9
- Balland, P.-A., Boschma, R., & Frenken, K. (2015). Proximity and innovation: From statics to dynamics. Regional Studies, 49(6), 907–920. https://doi.org/10.1080/00343404.2014.883598
- Bercovitz, J., & Feldman, M. (2011). The mechanisms of collaboration in inventive teams: Composition, social networks, and geography. Research Policy, 40(1), 81–93. https://doi.org/10.1016/j.respol.2010.09.008
- Bin, P., Chen, X., Fracasso, A., & Tomasi, C. (2020). Firm employment growth in China: The role of marketization and regional economic factors. Growth and Change, 51(1), 402–439. https://doi.org/10.1111/grow.12348
- Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74. https://doi.org/10.1080/0034340052000320887
- Cao, Z., Derudder, B., Dai, L., & Peng, Z. (2021). ‘Buzz-and-pipeline’ dynamics in Chinese science: The impact of interurban collaboration linkages on cities’ innovation capacity. Regional Studies, 1–17. https://doi.org/10.1080/00343404.2021.1906410
- Cao, Z., Derudder, B., & Peng, Z. (2019). Interaction between different forms of proximity in inter-organizational scientific collaboration: The case of medical sciences research network in the Yangtze River Delta region. Papers in Regional Science, 98(5), 1903–1924. https://doi.org/10.1111/pirs.12438
- Cappelli, R., & Montobbio, F. (2016). European integration and knowledge flows across European regions. Regional Studies, 50(4), 709–727. https://doi.org/10.1080/00343404.2014.931572
- Catalini, C., Fons-Rosen, C., & Gaulé, P. (2020). How do travel costs shape collaboration? Management Science. https://doi.org/10.1287/mnsc.2019.3381
- Chen, K. (1998). Administrative decentralisation and changing state–society relations in China. International Journal of Public Administration, 21(9), 1223–1255. https://doi.org/10.1080/01900699808525346
- Chen, Z., & Haynes, K. E. (2017). Impact of high-speed rail on regional economic disparity in China. Journal of Transport Geography, 65, 80–91. https://doi.org/10.1016/j.jtrangeo.2017.08.003
- Davids, M., & Frenken, K. (2018). Proximity, knowledge base and the innovation process: Towards an integrated framework. Regional Studies, 52(1), 23–34. https://doi.org/10.1080/00343404.2017.1287349
- Ding, X., & Li, J. (2015). Incentives for innovation in China: Building an innovative economy. Routledge.
- Dong, X., Zheng, S., & Kahn, M. E. (2019). The role of transportation speed in facilitating high skilled teamwork across cities. Journal of Urban Economics, 103212. https://doi.org/10.1016/j.jue.2019.103212
- Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From national systems and ‘mode 2’ to a triple helix of university–industry–government relations. Research Policy, 29(2), 109–123. https://doi.org/10.1016/S0048-7333(99)00055-4
- Fischer, M. M., Scherngell, T., & Jansenberger, E. (2006). The geography of knowledge spillovers between high-technology firms in Europe: Evidence from a spatial interaction modeling perspective. Geographical Analysis, 38(3), 288–309. https://doi.org/10.1111/j.1538-4632.2006.00687.x
- Gao, Y., & Zheng, J. (2020). The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms. World Development, 127, 104838. https://doi.org/10.1016/j.worlddev.2019.104838
- Guigon, M. (2020). The perpetual growth of high-speed rail development. Global Railway Review. https://www.globalrailwayreview.com/article/112553/perpetual-growth-high-speed-rail/
- Hansen, T. (2015). Substitution or overlap? The relations between geographical and non-spatial proximity dimensions in collaborative innovation projects. Regional Studies, 49(10), 1672–1684. https://doi.org/10.1080/00343404.2013.873120
- Hong, W., & Su, Y.-S. (2013). The effect of institutional proximity in non-local university–industry collaborations: An analysis based on Chinese patent data. Research Policy, 42(2), 454–464. https://doi.org/10.1016/j.respol.2012.05.012
- Inoue, H., Nakajima, K., & Saito, Y. U. (2017). The impact of the opening of high-speed rail on innovation. RIETI.
- Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics, 108(3), 577–598. https://doi.org/10.2307/2118401
- Ke, X., Chen, H., Hong, Y., & Hsiao, C. (2017). Do China’s high-speed-rail projects promote local economy? – New evidence from a panel data approach. China Economic Review, 44, 203–226. https://doi.org/10.1016/j.chieco.2017.02.008
- Lawrence, M., Bullock, R., & Liu, Z. (2019). China’s high-speed rail development. OCLC. 1101272415.
- Li, H., Meng, L., & Zhang, J. (2006). Why do entrepreneurs enter politics? Evidence from China. Economic Inquiry, 44(3), 559–578. https://doi.org/10.1093/ei/cbj031
- Marek, P., Titze, M., Fuhrmeister, C., & Blum, U. (2017). R&D collaborations and the role of proximity. Regional Studies, 51(12), 1761–1773. https://doi.org/10.1080/00343404.2016.1242718
- Maurseth, P. B., & Verspagen, B. (2002). Knowledge spillovers in Europe: A patent citations analysis. Scandinavian Journal of Economics, 104(4), 531–545. https://doi.org/10.1111/1467-9442.00300
- Monzón, A., Ortega, E., & López, E. (2013). Efficiency and spatial equity impacts of high-speed rail extensions in urban areas. Cities, 30, 18–30. https://doi.org/10.1016/j.cities.2011.11.002
- Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied linear statistical models. Irwin.
- North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge University Press.
- Perkins, D. H. (1988). Reforming China’s economic system. Journal of Economic Literature, 26(2), 601–645.
- Picci, L. (2010). The internationalization of inventive activity: A gravity model using patent data. Research Policy, 39(8), 1070–1081. https://doi.org/10.1016/j.respol.2010.05.007
- Ponds, R., Van Oort, F., & Frenken, K. (2007). The geographical and institutional proximity of research collaboration. Papers in Regional Science, 86(3), 423–443. https://doi.org/10.1111/j.1435-5957.2007.00126.x
- Sasaki, K., Ohashi, T., & Ando, A. (1997). High-speed rail transit impact on regional systems: Does the Shinkansen contribute to dispersion? The Annals of Regional Science, 31(1), 77–98. https://doi.org/10.1007/s001680050040
- Scott, W. R. (2013). Institutions and organizations: Ideas, interests, and identities. Sage.
- Sun, X., Zhang, Y., & Wandelt, S. (2017). Air transport versus high-speed rail: An overview and research agenda. Journal of Advanced Transportation, 2017. https://doi.org/10.1155/2017/8426926
- Torre, A., & Rallet, A. (2005). Proximity and localization. Regional Studies, 39(1), 47–59. https://doi.org/10.1080/0034340052000320842
- Vickerman, R. (2018). Can high-speed rail have a transformative effect on the economy? Transport Policy, 62, 31–37. https://doi.org/10.1016/j.tranpol.2017.03.008
- Yao, L., Li, J., & Li, J. (2020). Urban innovation and intercity patent collaboration: A network analysis of China’s national innovation system. Technological Forecasting and Social Change, 160, 120185. doi:10.1016/j.techfore.2020.120185