Innovation and Employment: Evidence from Italian Microdata
By M. Piva, M. Vivarelli. Social Science Research Network, 2005
216 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/3699bdade7bc76428eb7268d87f1b1922d0d154d
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Citations in the corpus
- Trade, technology and skills: evidence from Turkish microdata (2011, background): “4 While increasing the relative demand for skilled workers, at the same time technological change may well imply a reduction in the total absolute demand for labour (see Piva and Vivarelli, 2005 for a theoretical discussion of the relationship between technology and employment).”
- Environmental innovation and employment dynamics in different technology fields – an analysis based on the German Community Innovation Survey 2009 (2013, methodology): “Most of these studies in Germany, focussing on general innovations, found positive effects of product innovations on labour demand (see e.g. RWI 2005, Peters 2005, Smolny 1998, 2002, Piva and Vivarelli 2005, Zimmermann 2009).”
- Technological change and employment: is Europe ready for the challenge? (2018, unknown): “We rely on a database including two-digit sectors belonging to manufacturing and services in 11 European countries (Austria, Belgium, Czech Republic, Denmark, Finland, Germany, Hungary, Italy, Norway, Slovenia, Sweden).”
- THE INNOVATION†EMPLOYMENT NEXUS: A CRITICAL SURVEY OF THEORY AND EMPIRICS (2016, unknown): “Other works find a less clearcut evidence (see for instance Brouwer et al., 1993, Klette and Førre, 1998 for R&D and Piva and Vivarelli, 2005 for other measures).”
- Quantile estimates of the impact of R&D intensity on firm performance (2012, background): “Based on Italian firm-level data, Piva and Vivarelli (2004, 2005) find that innovative investment has a small but significant effect on employment growth.”
- Effects of Innovation on Employment: A Dynamic Panel Analysis (2011, unknown): “Piva and Vivarelli (2005) use only one lag of the dependent variable and find a coefficient of about 0.86, in van Reenen’s (1997) study the sum of two lags varies between 0.4 and 0.8.”