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Research PolicyVolume 40, Issue 2, March 2011, Pages 217-229

Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms(Article)(Open Access)

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  • aK.U. Leuven, Dept. of Managerial Economics, Strategy and Innovation, Naamsestraat 69, 3000 Leuven, Belgium
  • bCentre for European Economic Research (ZEW), Mannheim, Germany
  • cUniversity of Sherbrooke, Dept. d'Économique, Sherbrooke, QC J1K 2R1, Canada
  • dIndustry Canada, Economic Research and Policy Analysis Branch, Ottawa, ON K1A 0H5, Canada

Abstract

This study examines the effect of R&D tax credits on innovation activities of Canadian manufacturing firms. Over the 1997-1999 period the Federal and Provincial R&D tax credit programs were used by more than one third of all manufacturing firms and by close to two thirds of firms in high-technology sectors. We investigate the average effect of R&D tax credits on a series of innovation indicators such as: number of new products, sales with new products, originality of innovation, etc. using a non-parametric matching approach. Compared to a hypothetical situation in the absence of R&D tax credits, recipients of tax credits show significantly better scores on most but not all performance indicators. We therefore conclude that tax credits lead to additional innovation output. © 2010 Elsevier B.V. All rights reserved.

Author keywords

InnovationPolicy evaluationPublic subsidiesR&DTax credit

Indexed keywords

Engineering uncontrolled termsHigh-technologyInnovation activityManufacturing firmsNew productNon-parametricPerformance indicatorsPolicy evaluationPublic subsidiesTax credits
Engineering controlled terms:BenchmarkingCivil aviationEconomic analysisIndustryManufacture
Engineering main heading:Taxation

Funding details

  • 1

    Dirk Czarnitzki also thanks the University of California at Berkeley for its hospitality, because this paper was partly written during a research visit at the Economics Faculty of the UCB. Financial support by the Volkswagen Stiftung, Germany, is gratefully acknowledged.

  • ISSN: 00487333
  • CODEN: REPYB
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1016/j.respol.2010.09.017
  • Document Type: Article

  Czarnitzki, D.; K.U. Leuven, Dept. of Managerial Economics, Strategy and Innovation, Naamsestraat 69, Belgium;
© Copyright 2011 Elsevier B.V., All rights reserved.

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