IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Foreign Technology, Spillovers, and R&D Policy

  • Muniagurria, Maria E
  • Singh, Nirvikar

The authors study the appropriate domestic R&D policy in an asymmetric duopoly with R&D rivalry and technological spillovers from the more advanced firm. A 'foreign' and a 'home' firm compete over two periods on R&D and output. Initial foreign R&D lowers the cost of home's subsequent R&D improvements. The optimal policy balances the strategic incentive to reduce initial foreign R&D with the spillover incentive to increase it. If discounted home profits increase (decrease) with higher initial foreign R&D--the spillover (strategic) effect dominates--a tax (subsidy) to first-period home R&D is appropriate. Copyright 1997 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 38 (1997)
Issue (Month): 2 (May)
Pages: 405-30

as
in new window

Handle: RePEc:ier:iecrev:v:38:y:1997:i:2:p:405-30
Contact details of provider: Postal: 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297
Phone: (215) 898-8487
Fax: (215) 573-2057
Web page: http://www.econ.upenn.edu/ier
Email:


More information through EDIRC

Order Information: Web: http://www.blackwellpublishing.com/subs.asp?ref=0020-6598 Email:


References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Bhaskar Dutta & Kotaro Suzumura, 1993. "On the Sustainability of Collaborative R&D through Private Incentives," Discussion Paper Series a276, Institute of Economic Research, Hitotsubashi University.
  2. Barbara J. Spencer & James A. Brander, 1983. "International R&D Rivalry and Industrial Strategy," NBER Working Papers 1192, National Bureau of Economic Research, Inc.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ier:iecrev:v:38:y:1997:i:2:p:405-30. 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: (Wiley-Blackwell Digital Licensing)

or ()

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.