IDEAS home Printed from https://ideas.repec.org/a/blg/journl/v11y2016i3p129-139.html
   My bibliography  Save this article

Determinants Of Research And Development Intensity From A Network Perspective

Author

Listed:
  • TENG Joe K.L.

    (Sorrell College of Business, Troy University)

  • HU Jiayu

    (Sorrell College of Business, Troy University)

  • WU Dazhong

    (Sorrell College of Business, Troy University)

  • MIXON Phillip A.

    (Sorrell College of Business, Troy University)

  • DUAN Chaojie (CJ

    (Sorrell College of Business, Troy University)

Abstract

We model and examine the research and development (R&D) intensity of a focal industry from an inter-industry network perspective. More specifically, we estimate how a focal industry’s R&D investment is affected by partner (suppliers and customers) industries’ R&D expenditure. We also investigate the impact of the overall economy on the focal industry’s R&D expenditure and finally how a focal industry’s position in the supply chain network moderates the overall economy’s impact on the focal industry’s R&D expenditure. We found that, in general, a focal industry’s R&D intensity is positively associated with its partner industries’ R&D intensity. In addition, an industry’s R&D intensity is positively associated with the growth rate of the overall economy. Finally, we found that a more central industry is subjected to a stronger impact of macroeconomic shocks on its R&D intensity though there is no significant association between an industry’s centrality and its R&D intensity.

Suggested Citation

  • TENG Joe K.L. & HU Jiayu & WU Dazhong & MIXON Phillip A. & DUAN Chaojie (CJ, 2016. "Determinants Of Research And Development Intensity From A Network Perspective," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(3), pages 129-139, December.
  • Handle: RePEc:blg:journl:v:11:y:2016:i:3:p:129-139
    as

    Download full text from publisher

    File URL: http://eccsf.ulbsibiu.ro/RePEc/blg/journl/11310teng&hu&wu&mixon&duan.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Paulo Nunes & Zélia Serrasqueiro & João Leitão, 2013. "Assessing the nonlinear nature of the effects of R&D intensity on growth of SMEs: a dynamic panel data approach," Journal of Evolutionary Economics, Springer, vol. 23(1), pages 97-128, January.
    2. Cohen, Wesley M & Klepper, Steven, 1992. "The Anatomy of Industry R&D Intensity Distributions," American Economic Review, American Economic Association, vol. 82(4), pages 773-799, September.
    3. Melissa A. Schilling & Corey C. Phelps, 2007. "Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation," Management Science, INFORMS, vol. 53(7), pages 1113-1126, July.
    4. Michael K. Fung, 2005. "Are Knowledge Spillovers Driving the Convergence of Productivity among Firms?," Economica, London School of Economics and Political Science, vol. 72(286), pages 287-305, May.
    5. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, April.
    6. Melissa A. Schilling, 2015. "Technology Shocks, Technological Collaboration, and Innovation Outcomes," Organization Science, INFORMS, vol. 26(3), pages 668-686, June.
    7. Corey C. Phelps & Ralph Heidl & Anu Wadhwa, 2012. "Networks, knowledge, and knowledge networks: A critical review and research agenda," Post-Print hal-00715591, HAL.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    R&D; R&D intensity; network model; centrality;

    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:blg:journl:v:11:y:2016:i:3:p:129-139. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mihaela Herciu). General contact details of provider: http://edirc.repec.org/data/feulbro.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.