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Corporate Financial Performance Following the Opening of China's High‐Speed Rail: A Firm‐Level Perspective on Supply Chain Performance

Author

Listed:
  • Fei Xu
  • XingRui Kang
  • Jiao Zhang
  • LiWei Qi
  • Zhuo Xu
  • Yi Lv

Abstract

In the context of China's successful high‐speed railway (HSR) construction, this study examines the micro‐mechanisms of financial performance related to the opening of HSR from a firm‐level supply chain perspective. This study's findings are as follows: (1) Supply chain performance significantly increased by 14.71% on average after the HSR opening. (2) After the HSR opened, real earnings management (REM) significantly reduced, especially overproduction and abnormal cash flow manipulation. (3) HSR reduced REM by promoting supply chain performance. (4) With a reduction in REM, HSR improved stock pricing efficiency, which is reflected in the reduction of stock price synchronisation and crash risk. The conclusions continue to hold after controlling for other traditional urban transportation, major urban events and strategic corporate M&A arbitrage events.

Suggested Citation

  • Fei Xu & XingRui Kang & Jiao Zhang & LiWei Qi & Zhuo Xu & Yi Lv, 2025. "Corporate Financial Performance Following the Opening of China's High‐Speed Rail: A Firm‐Level Perspective on Supply Chain Performance," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 39(2), pages 30-46, November.
  • Handle: RePEc:bla:apacel:v:39:y:2025:i:2:p:30-46
    DOI: 10.1111/apel.12440
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    as
    1. Inder K. Khurana & Raynolde Pereira & Eliza (Xia) Zhang, 2018. "Is Real Earnings Smoothing Harmful? Evidence from Firm‐Specific Stock Price Crash Risk," Contemporary Accounting Research, John Wiley & Sons, vol. 35(1), pages 558-587, March.
    2. Harris-Fry, Helen & Saville, Naomi M. & Paudel, Puskar & Manandhar, Dharma S. & Cortina-Borja, Mario & Skordis, Jolene, 2022. "Relative power: Explaining the effects of food and cash transfers on allocative behaviour in rural Nepalese households," Journal of Development Economics, Elsevier, vol. 154(C).
    3. Wurgler, Jeffrey, 2000. "Financial markets and the allocation of capital," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 187-214.
    4. Danny Lanier & William F. Wempe & Morgan Swink, 2019. "Supply Chain Power and Real Earnings Management: Stock Market Perceptions, Financial Performance Effects, and Implications for Suppliers," Journal of Supply Chain Management, Institute for Supply Management, vol. 55(1), pages 48-70, January.
    5. repec:eme:maj000:02686900910941131 is not listed on IDEAS
    6. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
    7. Huang, Yichu & Fan, Yaoyao, 2022. "Risk along the supply chain: Geographic proximity and corporate risk taking," Finance Research Letters, Elsevier, vol. 50(C).
    8. Alberto Alesina & Ekaterina Zhuravskaya, 2011. "Segregation and the Quality of Government in a Cross Section of Countries," American Economic Review, American Economic Association, vol. 101(5), pages 1872-1911, August.
    9. Chen, Peter & Zhang, Guochang, 2007. "How do accounting variables explain stock price movements? Theory and evidence," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 219-244, July.
    10. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
    11. Roychowdhury, Sugata, 2006. "Earnings management through real activities manipulation," Journal of Accounting and Economics, Elsevier, vol. 42(3), pages 335-370, December.
    12. Li, Han & Li, Zhigang, 2013. "Road investments and inventory reduction: Firm level evidence from China," Journal of Urban Economics, Elsevier, vol. 76(C), pages 43-52.
    13. 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.
    14. Panagiotis E. Dimitropoulos & Dimitrios Asteriou, 2009. "The value relevance of financial statements and their impact on stock prices," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 24(3), pages 248-265, March.
    15. Gul, Ferdinand A. & Kim, Jeong-Bon & Qiu, Annie A., 2010. "Ownership concentration, foreign shareholding, audit quality, and stock price synchronicity: Evidence from China," Journal of Financial Economics, Elsevier, vol. 95(3), pages 425-442, March.
    16. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    17. Panagiotis E. Dimitropoulos & Dimitrios Asteriou, 2009. "The value relevance of financial statements and their impact on stock prices: Evidence from Greece," Managerial Auditing Journal, Emerald Group Publishing, vol. 24(3), pages 248-265, March.
    18. Cohen, Daniel A. & Zarowin, Paul, 2010. "Accrual-based and real earnings management activities around seasoned equity offerings," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 2-19, May.
    19. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    20. Chong Ye & Yanhong Zheng & Shanlang Lin & Zhaoyang Zhao, 2022. "The Impact of High-Speed Railway Opening on Regional Economic Growth: The Case of the Wuhan–Guangzhou High-Speed Railway Line," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    21. Guan, Chiming & Hu, Qi, 2023. "Does high-speed railway impact urban logistics industry agglomeration? Empirical evidence from China's prefecture-level cities," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    22. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    23. Chen, Chia-Lin & Hall, Peter, 2011. "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, Elsevier, vol. 19(4), pages 689-704.
    24. Benjamin Faber, 2014. "Trade Integration, Market Size, and Industrialization: Evidence from China's National Trunk Highway System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1046-1070.
    25. An, Heng & Zhang, Ting, 2013. "Stock price synchronicity, crash risk, and institutional investors," Journal of Corporate Finance, Elsevier, vol. 21(C), pages 1-15.
    26. Holl, Adelheid, 2016. "Highways and productivity in manufacturing firms," Journal of Urban Economics, Elsevier, vol. 93(C), pages 131-151.
    27. Richardson, Vernon J, 2000. "Information Asymmetry and Earnings Management: Some Evidence," Review of Quantitative Finance and Accounting, Springer, vol. 15(4), pages 325-347, December.
    28. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
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