Firm heterogeneity in productivity across Europe: evidence from multilevel models

Aiello, Francesco; Ricotta, Fernanda

doi:10.1080/10438599.2015.1057001

Cited by 23 publications

(18 citation statements)

References 59 publications

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“…All these methodological advantages also make the MLMs original from an economic perspective because they address how the “micro, middle and macro” (Schumpeter, 1934) spheres of economic systems evolve and interact in any economic process (Aiello, Pupo, & Ricotta, 2014; Baldwin & Okubo, 2005; Beugelsdijk, 2007; Raspe & van Oort, 2011; Srholec, 2010). On the one side, this has stimulated much research aimed at addressing the firm productivity issue by applying the MLM approach (Aiello & Ricotta, 2016; Fazio & Piacentino, 2010; Mahlberg, Freund, Crespo Cuaresma, & Prskawetz, 2013; Raspe & van Oort, 2011; Srholec, 2015). On the other side, to the best of our knowledge, no study uses MLM models to explain the relationship between financing and firms' attitude towards innovating.…”

Section: The Multilevel Model In a Nutshellmentioning

confidence: 99%

How firms finance innovation. Further empirics from European SMEs

2020

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Section: The Multilevel Model In a Nutshellmentioning

confidence: 99%

How firms finance innovation. Further empirics from European SMEs

2020

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“…Literature describes several alternative empirical approaches to investigate productivity effects of ICT or technological innovations. One method is to calculate total factor productivity (TFP) indirectly and then regress the TFP indicator on the innovation or ICT variables (see for instance, Black and Lynch 2001;Rochina-Barrachina et al 2010;Aiello and Ricotta 2016). Another approach uses an augmented Cobb-Douglas production function to estimate the relationships (Tambe and Hitt 2012).…”

Section: Conceptual Background and Empirical Modelmentioning

confidence: 99%

Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries

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“…One way for addressing such sources of heterogeneity would be to augment the knowledge capital model with interaction terms capturing the role of absorptive capacity, which can be measured as the deviation of the firm/industry/country from the sample average for R&D intensity. Another way would be to model heterogeneity as unobserved random effects through a hierarchical model (HM) framework -as is the case in Aiello and Ricotta (2016). HMs allows for nesting the individual observations within firms, industries, regions or countries; and for estimating spillover effects after controlling for between-industry or between-region variations modelled as random intercepts, random slopes or both.…”

Section: Discussionmentioning

confidence: 99%

What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power

2020

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As Mohnen (1996: 40) has indicated, research and development (R&D) externalities is a twosided theoretical issue. Its 'dark' side concerns the under-investment problem caused by nonappropriability of R&D benefits. On the 'bright' side, R&D spillovers are a source of productivity gains. Both aspects have been invoked to justify public support for R&D investment directly and indirectly. To establish whether public support can be justified due to productivity gains from spillovers, we meta-analyse 983 productivity estimates for spillovers and 501 estimates for own-R&D from 60 empirical studies. Our findings indicate that the average spillover effect is: (i) positive but heterogenous and smaller than what is reported in most narrative reviews; (ii) usually smaller than that of own-R&D capital; (iii) too small to be practically significant when evidence with adequate statistical power is considered. Controlling for observable sources of heterogeneity and best-practice research, the meta-effect is insignificant in the full sample but significant and large among OECD firms/industries/countries. We discuss the implications of these findings for future research and public support for R&D investment.

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Firm heterogeneity in productivity across Europe: evidence from multilevel models

Cited by 23 publications

References 59 publications

How firms finance innovation. Further empirics from European SMEs

How firms finance innovation. Further empirics from European SMEs

Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries

What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power

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