IDEAS home Printed from https://ideas.repec.org/a/spr/presci/v79y2000i4p435-443.html
   My bibliography  Save this article

research notes and comments: Geographic and sectoral characteristics of academic knowledge externalities

Author

Listed:
  • Attila Varga

    () (Institute for Economic Geography, Regional Development and Environmental Management, Vienna University of Economics and Business Administration, Rossauer Lände 23/1, A-1090 Vienna, Austria)

  • Luc Anselin

    () (Regional Economics Applications Laboratory and Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign, 326 Mumford Hall, 1301 W Gregory Drive, Urbana, IL 61801, USA)

  • Zoltan J. Acs

    () (Merrick School of Business, University of Baltimore, Baltimore, MD 21201-5779, USA)

Abstract

This note implements a novel approach to formalizing spatial externalities by employing spatial econometric methods that combine spatial dependence in the form of spatial autoregressive processes and spatial heterogeneity in the form of spatial regimes. The results confirm earlier findings that academic externalities are not uniform across sectors but also indicate important differences across sectors in terms of agglomeration effects.

Suggested Citation

  • Attila Varga & Luc Anselin & Zoltan J. Acs, 2000. "research notes and comments: Geographic and sectoral characteristics of academic knowledge externalities," Papers in Regional Science, Springer;Regional Science Association International, vol. 79(4), pages 435-443.
  • Handle: RePEc:spr:presci:v:79:y:2000:i:4:p:435-443
    Note: Received: 18 April 2000
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/10110/papers/0079004/00790435.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted

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

    More about this item

    Keywords

    Innovations; high technology R&D; spatial econometrics; knowledge production function;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:spr:presci:v:79:y:2000:i:4:p:435-443. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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.

    We have no references for this item. You can help adding them by using 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.