Productivity, innovation and R&amp;D: Micro evidence for Italy

Parisi, Maria Laura; Schiantarelli, Fabio; Sembenelli, Alessandro

doi:10.1016/j.euroecorev.2005.08.002

Cited by 428 publications

(275 citation statements)

References 20 publications

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“…Concerning the output side of innovation, many studies highlight the merits of innovation surveys in providing direct proxies for product and process innovations (see Griffith et al 2006;Parisi et al 2006;Hall et al 2008Hall et al , 2009), beyond traditional focus on patents. However, as a matter of fact, only few works consider the relation between sales growth and proxies of innovative output alternative to patents.…”

Section: Innovative Inputs Innovative Outputs and Their Relation Witmentioning

confidence: 99%

Innovation Strategies and Firm Growth

2016

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Section: Innovative Inputs Innovative Outputs and Their Relation Witmentioning

confidence: 99%

Innovation Strategies and Firm Growth

2016

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“…With this aim, we adapt the CDM model to analyze this relationship for a panel of Spanish manufacturing firms between 1990 and 2005. Our econometric results suggest the existence of true state dependence both in the decision of 1 See, for example, Mohnen (2002, 2005) and Mohnen et al (2006) using French CIS1 and CIS3 data, Parisi et al (2006) for Italian manufacturing firms, Lööf and Heshmati (2006) using Swedish manufacturing data, Van Leeuwen and Klomp (2006) and Van Leeuven et al (2009) for Dutch manufacturing firms, and Griffith et al (2006) using firm-level data from the internationally harmonized CIS3 for France, Germany, Spain and the UK. Two examples for non-European countries are Benavente (2006) for Chile and Jefferson et al (2006) about China.…”

Section: Introductionmentioning

confidence: 99%

Does history matter for the relationship between R&D, innovation, and productivity?

Huergo

Martín

2011

Industrial and Corporate Change

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper analyzes the relationship between R&D expenditures, innovation and productivity growth, taking into account the possibility of persistence in firms' behaviour. We study this relationship for a sample of Spanish manufacturing firms between 1990 and 2005, estimating a model with four equations: participation in technological activities, R&D intensity, the generation of innovations and the impact of these technological outputs on total factor productivity growth. Our results reflect the existence of true state dependence both in the decision of R&D investment and in the production of innovations. The omission of this persistence leads to an overestimation of the current impact of innovations on productivity growth. However, the presence of persistence in technological inputs and outputs entails current R&D activities having long-run effects on a firm's productivity.

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“…So far, with some notable exceptions (Parisi et al 2006, Hall et al 2007, the vast majority of the relevant empirical work focuses on the first part of the causality equation only, i.e. on the link between innovation and firm productivity levels.…”

Section: Introductionmentioning

confidence: 99%

Innovation and Firms’ Productivity Growth in Slovenia: Sensitivity of Results to Sectoral Heterogeneity and to Estimation Method

Damijan

Kostevc

Rojec

2010

Advances in Spatial Science

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe paper examines implications of endogenous growth theory on the relationship between firm productivity, innovation as well as productivity growth by combining information on firm-level innovation (CIS) with accounting data for a large sample of Slovenian firms in the period 1996-2002. We employ several different estimation methods in order to control for the endogeneity of innovation (Crépon-DuguetMairesse -CDM -approach) and idiosyncratic firm characteristics (matching and average treatment effects). We find a significant and robust link between productivity levels and firm propensity to innovate, while the results on the link between innovation activity and productivity growth are not robust to different econometric approaches. OLS estimates seem to provide some empirical support to the thesis of positive impact of innovation on productivity growth. More detailed empirical tests, however, reveal that these results are mainly driven by the exceptional performance of a specific group of services firms located in the fourth quintile with respect to size, productivity and R&D propensity measure. Estimates based on the matching techniques do not reveal any significant positive effects of innovation on productivity growth, regardless of the sectors, firm size and type of innovation.

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Productivity, innovation and R&D: Micro evidence for Italy

Cited by 428 publications

References 20 publications

Innovation Strategies and Firm Growth

Innovation Strategies and Firm Growth

Does history matter for the relationship between R&D, innovation, and productivity?

Innovation and Firms’ Productivity Growth in Slovenia: Sensitivity of Results to Sectoral Heterogeneity and to Estimation Method

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