IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2022-131.html
   My bibliography  Save this paper

Agglomeration, Innovation, and Spatial Reallocation: The Aggregate Effects of R&D Tax Credits

Author

Listed:
  • Alexandre Sollaci

Abstract

I investigate the aggregate effects of R&D tax credits in the US. Because it subsidizes R&D activity and because credit rates vary between states, this policy has both spatial and dynamic effects on the economy. To address this issue, I construct an endogenous growth model with spatial heterogeneity and agglomeration spillovers in innovation. Aggregate outcomes in this model are thus affected by the spatial distribution of the population in the economy, which is itself endogenous and reacts to policy. I use this framework to identify a set of local R&D subsidies that maximize aggregate welfare.

Suggested Citation

  • Alexandre Sollaci, 2022. "Agglomeration, Innovation, and Spatial Reallocation: The Aggregate Effects of R&D Tax Credits," IMF Working Papers 2022/131, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2022/131
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=520254
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    agglomeration; innovation; R&D tax credits; R&D activity; R&D subsidy; R&D tax credit rate; aggregate outcome; Tax allowances; Credit ratings; Productivity; Wages; Global; elasticity of agglomeration; welfare effect; elasticity of congestion;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:imf:imfwpa:2022/131. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    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.