Barriers to innovation and firm productivity

Alex Coad, Gabriele Pellegrino, Maria Savona

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

The paper analyzes the effect of financial, knowledge, demand, market structure and regulation barriers to innovation on firms’ economic performance. It contributes to the literature on barriers to innovation by accounting for the heterogeneous effects that each barrier has on firms across the productivity distribution. We do so by employing both quantile regression techniques and matching estimators on this UK CIS panel 2002–2010 merged with the Business Structure Database. While we find evidence that both the cost and also the availability of finance negatively affect productivity across the whole distribution, the lack of qualified personnel mostly hinders high productivity firms. Moreover, quantile regression reveals some interesting variation in effect sizes across the (conditional) productivity distribution.

Original languageEnglish
Pages (from-to)321-334
Number of pages14
JournalEconomics of Innovation and New Technology
Volume25
Issue number3
DOIs
Publication statusPublished - 2016 Apr 2
Externally publishedYes

Keywords

  • barriers to innovation
  • labor productivity
  • propensity score matching
  • quantile regressions

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Management of Technology and Innovation

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