IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v195y2020ics0165176520302998.html
   My bibliography  Save this article

Bi-directional R&D spillovers and operating performance: A two-tier stochastic frontier model

Author

Listed:
  • Hu, Zhiqiang
  • Pei, Kaibing

Abstract

This paper quantitatively measures the incoming effect and outgoing effect of R&D spillovers using a two-tier stochastic frontier model and then empirically analyzes their separate and net roles in operating performance with a cross-section data of Chinese GEM listed enterprises over the period 2009–2017. We find that on average the incoming effect is larger than the outgoing effect at the observation level. However, the incoming effect and outgoing effect of R&D spillovers show heterogeneous characteristics in individual enterprises, and the incoming (outgoing, net) effect has a significant and positive (negative, positive) impact on operating performance.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:ecolet:v:195:y:2020:i:c:s0165176520302998
    DOI: 10.1016/j.econlet.2020.109485
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176520302998
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2020.109485?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    2. Hunt-McCool, Janet & Koh, Samuel C & Francis, Bill B, 1996. "Testing for Deliberate Underpricing in the IPO Premarket: A Stochastic Frontier Approach," Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1251-1269.
    3. Christopher F. Parmeter, 2018. "Estimation of the two-tiered stochastic frontier model with the scaling property," Journal of Productivity Analysis, Springer, vol. 49(1), pages 37-47, February.
    4. Subal Kumbhakar & Christopher Parmeter, 2009. "The effects of match uncertainty and bargaining on labor market outcomes: evidence from firm and worker specific estimates," Journal of Productivity Analysis, Springer, vol. 31(1), pages 1-14, February.
    5. 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.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alecos Papadopoulos & Christopher F. Parmeter & Subal C. Kumbhakar, 2021. "Modeling dependence in two-tier stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 56(2), pages 85-101, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Meng-Ying Wang & Li-Chen Chou, 2024. "Evaluating information asymmetry effects on hotel pricing: a comparative analysis before and during the COVID-19 pandemic in the Taiwan’s market," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    3. 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.
    4. Christopher F. Parmeter, 2018. "Estimation of the two-tiered stochastic frontier model with the scaling property," Journal of Productivity Analysis, Springer, vol. 49(1), pages 37-47, February.
    5. 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.
    6. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).
    7. Herrala, Risto & Turk-Ariss, Rima, 2016. "Capital accumulation in a politically unstable region," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 1-15.
    8. Koop, Gary & Li, Kai, 2001. "The valuation of IPO and SEO firms," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 375-401, September.
    9. Yue-Cheong Chan & Congsheng Wu & Chuck Kwok, 2007. "Valuation of global IPOs: a stochastic frontier approach," Review of Quantitative Finance and Accounting, Springer, vol. 29(3), pages 267-284, October.
    10. 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).
    11. repec:zbw:bofrdp:2011_007 is not listed on IDEAS
    12. Stefan Seifert & Christoph Kahle & Silke Hüttel, 2021. "Price Dispersion in Farmland Markets: What Is the Role of Asymmetric Information?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1545-1568, August.
    13. Michel A. Habib & Alexander Ljungqvist, 2005. "Firm Value and Managerial Incentives: A Stochastic Frontier Approach," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2053-2094, November.
    14. Shao, Wen-Chao & Zhang, Han & Chou, Li-Chen & Ye, Xi-Xi, 2023. "Comparing athletes’ mastery of salary information before and during the COVID-19 pandemic: Evidence from the national basketball association," Economic Modelling, Elsevier, vol. 128(C).
    15. Bill Francis & Iftekhar Hasan, 2001. "The Underpricing of Venture and Nonventure Capital IPOs: An Empirical Investigation," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(2), pages 99-113, April.
    16. Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
    17. Richard C. Green & Burton Hollifield & Norman Schürhoff, 2007. "Financial Intermediation and the Costs of Trading in an Opaque Market," The Review of Financial Studies, Society for Financial Studies, vol. 20(2), pages 275-314.
    18. Agüeros Manuel & Casares-Hontañón Pedro & Coto-Millán Pablo & Ángel Pesquera Miguel, 2015. "Technical Efficiency of the Generation of Knowledge in the European Union (2003-2010)," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 27(27), pages 7-16, March.
    19. Becchetti, Leonardo & Sierra, Jaime, 2003. "Bankruptcy risk and productive efficiency in manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2099-2120, November.
    20. Pieri, Fabio & Vecchi, Michela & Venturini, Francesco, 2018. "Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach," Research Policy, Elsevier, vol. 47(9), pages 1842-1852.
    21. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.

    More about this item

    Keywords

    R&D spillovers; Incoming effect; Outgoing effect; Operating performance; Two-tier stochastic frontier model;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:195:y:2020:i:c:s0165176520302998. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.