EC JRC Banner
European Commission > JRC > IPTS

publications > reports

Do Innovation Incentives work? Evidence from the Italian Manufacturing Sector

  • Authors: Federico Biagi, Massimo Loi
  • EUR Number: 25547 EN
  • Publication date: 11/2012


Understanding and estimating the impact of fiscal incentives on innovation are crucial elements for policy evaluation. The main purpose of this study is to investigate the impact that fiscal incentives have on firms’ innovative performance. We use data from the 7th, 8th and 9th waves of the “Indagine sulle Imprese Manifatturiere Italiane” by Unicredit (previously managed by Capitalia-Mediocredito Centrale), which contains information on both product and process innovation by manufacturing firms, on the amount of resources invested in R&D (if such amount is positive) and it is also informative of the existence of forms of fiscal incentive for R&D and investment in innovative activities. In our work, we use different techniques. First we look at Average Treatment Effects, under the assumption of “selection on observables”, implying that the econometrician has access to all the variables affecting the likelihood of being treated. In this part of the report, we just want to verify whether- everything else remaining constant (i.e. for a given value of the propensity score obtained with the conditioning variables) - there is evidence that firms that have access to fiscal incentives tend to innovate more. In the second part of our study, we cast some doubts on the plausibility of the “selection on observables” assumption and we look in more depth at one specific case of fiscal incentive: the one provided by Law 140/1999 to firms located in “depressed areas” (as defined by the law itself). We focus on this law because it is particularly important from a policy perspective within the Italian dual economy, but also because it allows us a more precise estimate of the treatment effect in a situation where treatment status (i.e. access to the incentive) is likely to depend on the same (unobserved) factors that affect the innovation outcome (we run both OLS and Instrumental Variable estimation).

Documents available

Document Format Size Links
Publication application/pdf 873 KB Download a copy

Get Adobe Acrobat Reader

You will need the Adobe Acrobat reader to view any reports you download. Click on the icon below to obtain the reader (free of charge) if it is not already installed on your computer.

Download Adobe Acrobat Reader