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27 September 2022 The influence of high-speed rail on international technology spillover in China: an empirical analysis based on PPML model
Lihong Wei, Tao Song
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Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123451P (2022) https://doi.org/10.1117/12.2649024
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China
Abstract
Based on China's prefecture-level city data from 2002 to 2018, this study empirically analyzes the impact of high-speed rail (HSR) connection on international technology spillover. The results find that one new HSR train serving a city facilitates international technology spillover. Heterogeneous analyses show that the western in China is significantly affected by HSR connection, which the effect is not obvious in the eastern due to the original developed transportation network. Further examination shows that the effect of HSR connections is stronger for regions with lower initial human capital with regard to international knowledge flow.
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Lihong Wei and Tao Song "The influence of high-speed rail on international technology spillover in China: an empirical analysis based on PPML model", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123451P (27 September 2022); https://doi.org/10.1117/12.2649024
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KEYWORDS
Standards development
Data modeling
Information technology
Statistical analysis
Statistical modeling
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