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R&D Spillover Effects and Firm Performance Following R&D Increases

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  • Chen, Sheng-Syan
  • Chen, Yan-Shing
  • Liang, Woan-lih
  • Wang, Yanzhi

Abstract

We examine how research and development (R&D) incoming spillovers affect long-run firm performance following firms’ R&D increases. We use a stochastic frontier production method to capture R&D incoming spillover effects. Firms reaping more benefits from R&D investment made by other firms experience more improvement in profitability and more favorable long-run stock performance in the post-R&D-increase period. Firms with higher levels of R&D incoming spillovers recruit more key employees from other firms, suggesting that obtaining know-how through hiring is an important source of incoming spillovers. The evidence also shows that firms experiencing more R&D outgoing spillover effects tend to underinvest in R&D.

Suggested Citation

  • Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2013. "R&D Spillover Effects and Firm Performance Following R&D Increases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1607-1634, October.
    • Handle: RePEc:cup:jfinqa:v:48:y:2013:i:05:p:1607-1634_00
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    Cited by:

    1. Sheng-Syan Chen & Chia-Wei Huang & Chuan-Yang Hwang & Yanzhi Wang, 2022. "Voluntary disclosure and corporate innovation," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1081-1115, April.
    2. Chen, Sheng-Syan & Lin, Chih-Yen, 2018. "Managerial ability and acquirer returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 171-182.
    3. Chen, Sheng-Syan & Kao, Wei-Chuan & Wang, Yanzhi, 2021. "Tax policy and innovation performance: Evidence from enactment of the alternative simplified credit," Journal of Banking & Finance, Elsevier, vol. 125(C).
    4. Guiyu Bai & Wenjuan Wang & Xinxin Wang, 2022. "Research on the Influence of Technological Innovation Enthusiasm on Innovation Performance from the Perspective of Nonlinearity—Empirical Evidence from Chinese Listed Firms," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    5. Lei Gao & Leo L. Yang & Joseph H. Zhang, 2016. "Corporate patents, R&D success, and tax avoidance," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1063-1096, November.
    6. Chen, Sheng-Syan & Chen, Yan-Shing & Liang, Woan-lih & Wang, Yanzhi, 2020. "Public R&D spending and cross-sectional stock returns," Research Policy, Elsevier, vol. 49(1).
    7. Jianping Qi & Ninon K. Sutton & Qiancheng Zheng, 0. "The value of innovation and the spillover effect on alliance partners," Review of Quantitative Finance and Accounting, Springer, vol. 0, pages 1-31.
    8. Chi-Ming Ho, 2023. "Research on interaction of innovation spillovers in the AI, Fin-Tech, and IoT industries: considering structural changes accelerated by COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
    9. Oh, Jong-Min, 2017. "Absorptive capacity, technology spillovers, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 146-164.
    10. Jianping Qi & Ninon K. Sutton & Qiancheng Zheng, 2020. "The value of innovation and the spillover effect on alliance partners," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1427-1457, November.
    11. Liu, Zhiying & Hu, Kaili & Hussain, Ammar, 2023. "R&D disclosure and corporate innovation: Mediating role of financing structure," Finance Research Letters, Elsevier, vol. 56(C).
    12. Hu, Zhiqiang & Pei, Kaibing, 2020. "Bi-directional R&D spillovers and operating performance: A two-tier stochastic frontier model," Economics Letters, Elsevier, vol. 195(C).
    13. Wang, Yanzhi, 2023. "Trade secrets laws and technology spillovers," Research Policy, Elsevier, vol. 52(7).
    14. Hsu, Yen-Ju & Wang, Yanzhi, 2023. "Technology spillover, corporate investment, and stock returns," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 238-250.
    15. Olubunmi Faleye & Rani Hoitash & Udi Hoitash, 2018. "Industry expertise on corporate boards," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 441-479, February.
    16. Yang, Ann Shawing & Okada, Hiromu, 2019. "Corporate innovations as institutional anomie: Patent activities and financial performance of the international aerospace industry," Finance Research Letters, Elsevier, vol. 28(C), pages 328-336.
    17. Khalil Jebran & Shihua Chen & Wanying Cai, 2022. "Excess of everything is bad: CEO greed and corporate policies," Review of Quantitative Finance and Accounting, Springer, vol. 59(4), pages 1577-1607, November.
    18. Jiayi Zheng & Yushu Zhu, 2022. "Chair–CEO trust and firm performance," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 163-198, February.
    19. Gan Jin & Günther G. Schulze, 2024. "The Long-Term Effect of Western Customs Institution on Firm Innovation in China," CESifo Working Paper Series 10967, CESifo.
    20. Erik E. Lehmann & Matthias Menter & Katharine Wirsching, 2022. "University spillovers, absorptive capacities, and firm performance," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 125-150, March.
    21. Wang, Li & Wu, Yuhan & Huang, Zeyu & Wang, Yanan, 2024. "Big data application and corporate investment decisions: Evidence from A-share listed companies in China," International Review of Financial Analysis, Elsevier, vol. 94(C).

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