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High-speed rail benchmark train, efficient allocation of factors and industrial transformation and upgrading ——Theoretical model analysis and empirical evidence from 288 cities in China

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  • Wu, Peng
  • Zhang, Qiong

Abstract

As a high-quality product from China State Railway Group, HSR “benchmark” trains may exert an positive impact on the industrial upgrading, and the mechanism needs to be further analyzed. Therefore, using Diamond model and commodity pricing-industrial system upgrading model, theoretically deduces how HSR benchmark trains promote industrial transformation and upgrading through efficient factor allocation. Then manually collects data on HSR benchmark trains across 288 prefecture-level cities in China from 2013 to 2023, develops an industrial level indicator system and empirically examines how HSR benchmark trains affect the industrial transformation and upgrading. The results indicate the following: (1) HSR benchmark trains significantly facilitate the upgrading of cities' level of industrial system, and their role in promoting such upgrading exhibits significant heterogeneity across cities. (2) HSR benchmark trains drive the industrial transformation and upgrading by efficiently allocating technology and human capital; (3) The HSR benchmark trains driven evolution of cities' industrial transformation and upgrading generates positive spatial spillover effects, which show significant heterogeneity depending on inter-city distances and the position relative to the “Hu Huanyong Line”. Results show that accelerating the operation of HSR benchmark trains across cities at all levels not only facilitates the efficient allocation of driving technologies and human capital, but also strongly boosts China's high-quality modern industrial system development.

Suggested Citation

  • Wu, Peng & Zhang, Qiong, 2026. "High-speed rail benchmark train, efficient allocation of factors and industrial transformation and upgrading ——Theoretical model analysis and empirical evidence from 288 cities in China," Transport Policy, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:trapol:v:179:y:2026:i:c:s0967070x26000016
    DOI: 10.1016/j.tranpol.2026.103991
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    1. Xu, Fei & Li, Qiangyi & Yang, Mian, 2022. "The impacts of high-speed rail on the transformation of resource-based cities in China: A market segmentation perspective," Resources Policy, Elsevier, vol. 78(C).
    2. Luo, Shuangcheng & Cai, Xiaoqing & Qian, Qiulan & Xia, Hongmei, 2025. "How can market-based environmental regulation drive industrial transformation upgrading? Evidence from China's carbon emissions trading pilot policies," International Review of Economics & Finance, Elsevier, vol. 102(C).
    3. Dirk Dohse & Rajeev K. Goel & James W. Saunoris, 2023. "Patenting uncertainty and its impact on innovation: evidence from the United States," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1839-1859, October.
    4. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    5. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    6. Bi, Siyuan & Zhang, Xiangjian & Xiao, Guolin & Li, Hanxi, 2025. "Marketization, digital economy, and industrial structure transformation: Mechanisms and regional variations," International Review of Economics & Finance, Elsevier, vol. 102(C).
    7. Xu, Fei & Liu, Qian & Zheng, Xingdong & Cao, Luqi & Yang, Mian, 2022. "Research on the impact of China's high-speed rail opening on enterprise market power: Based on the perspective of market segmentation," Transport Policy, Elsevier, vol. 128(C), pages 121-137.
    8. Shujie Yao & Fan Zhang & Feng Wang & Jinghua Ou, 2019. "Regional economic growth and the role of high-speed rail in China," Applied Economics, Taylor & Francis Journals, vol. 51(32), pages 3465-3479, July.
    9. Bosede Ngozi Adeleye & Ismail Bengana & Abdelaziz Boukhelkhal & Mohammad Musa Shafiq & Hauwah K. K. Abdulkareem, 2022. "Does Human Capital Tilt the Population-Economic Growth Dynamics? Evidence from Middle East and North African Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 863-883, July.
    10. Mengmeng Su & Zijie Li & Yingying Su & Mengmeng Chang & Yiding Liu, 2024. "The Opening of High-Speed Rail and Economic Growth: The Moderating Role of Government Efficiency and Innovation Environment," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    11. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    12. 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.
    13. Iris Claus & Les Oxley & Yang Du & Cuifen Yang, 2014. "Demographic Transition And Labour Market Changes: Implications For Economic Development In China," Journal of Economic Surveys, Wiley Blackwell, vol. 28(4), pages 617-635, September.
    14. Qiuyang Zhou & Zhenqiang Li, 2021. "The impact of industrial structure upgrades on the urban–rural income gap: An empirical study based on China's provincial panel data," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1761-1782, September.
    15. Yiqing He & Yijin Pan & Xuhong Yuan, 2025. "Whether Financial Inclusion Improves Employment Structure and Labor Allocation: Evidence From China’s Industrial Restructuring," SAGE Open, , vol. 15(2), pages 21582440251, May.
    16. Wang, Chunyang & Meng, Weidong & Hou, Xinshuo, 2020. "The impact of high-speed rails on urban economy: An investigation using night lighting data of Chinese cities," Research in Transportation Economics, Elsevier, vol. 80(C).
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