Innovation, structural change and productivity growth: evidence from Italian regions, 1980-2003

Quatraro, Francesco

doi:10.1093/cje/ben063

Cited by 58 publications

(35 citation statements)

References 44 publications

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“…This triggered a process of restructuring of production in the early 2000s that might have affected the pace of innovation as measured by positive increments of TFP. Moreover, as evidenced in previous literature (Quatraro, 2009;, the transformation process related to the diffusion of ICT has been uneven in Italy. For this reason, we have split the sample further into 4 macro-regions to identify potential differences in the patterns of innovation persistence across regions and across time.…”

Section: Evidence From the Mtpm Analysesmentioning

confidence: 78%

Internal and external factors in innovation persistence

Antonelli

Crespi

Scellato

2013

Economics of Innovation and New Technology

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This paper contributes the analysis of the persistence of innovation activities, as measured by total factor productivity (TFP), and explores its internal and external determinants stressing its path-dependent characteristics. The external conditions, namely the quality of local knowledge pools and the strength of the Schumpeterian rivalry, along with the internal conditions (the actual levels of dynamic capabilities, as proxied by wage levels and firm size) exert a specific and localised effect upon the persistent introduction of innovations. A Multiple Transition Probability Matrixes (MTPMs) approach has been implemented to capture the contingent effects of external effects on long-term innovation persistence. The empirical analysis of the dynamics of firm level TFP for a sample of approximately 7000 Italian manufacturing companies observed during the years 1996-2005 is based on both the comparison of different transition probability matrixes and on dynamic discrete choice panel data models. The evidence provided by the test of MTPMs in sub-periods suggests that innovation persistence is path-dependent, as opposed to past-dependent. JEL CLASSIFICATION: O31, C23, C25, L20

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Section: Evidence From the Mtpm Analysesmentioning

confidence: 78%

Internal and external factors in innovation persistence

Antonelli

Crespi

Scellato

2013

Economics of Innovation and New Technology

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“…The low level of private R&D reflects the long‐standing structural composition of the Italian economy . In the early 1980s, Italy already appeared to be lagging behind in the industrialization process in terms of the development of manufacturing sectors and modern firms and this delay persisted over the last decades of the twentieth century (Fuà ; Quatraro , )…”

Section: Randd and Innovation In Italy: Some Basic Factsmentioning

confidence: 99%

“…In 1950, most regions were rural and dominated by small and medium enterprises, while there was a majority of large manufacturing firms in the North‐West of the country. In the next two decades, North‐Eastern and Central regions (NEC) exhibited a process of manufacturing diffusion, carried out mostly by small and medium enterprises which operated in a social context where the “extended family” worked as a self‐regulatory system (Fuà and Zacchia ; Quatraro , ). NEC regions registered a persistently increasing rate of specialization in manufacturing activity during the 1980s and 1990s, while in the North‐West of the country the manufacturing sectors declined (Becattini and Coltorti ; Quatraro ).…”

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confidence: 99%

A Spatial Analysis of the R&D-Productivity Nexus at Firm Level

Cardamone¹

2016

Growth and Change

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The aim of this paper is to evaluate the effect of research and development (R&D) on productivity by taking into account productivity spillovers. To this end, by using a sample of Italian manufacturing firms over the period 2004–2006 provided by the Xth UniCredit‐Capitalia survey (2008), we have analyzed the role of R&D in firm productivity by using a spatial autoregressive model. In so doing, we have allowed the productivity of each firm to be affected by the productivity of nearby firms. Results show that R&D significantly affects Italian firm productivity and that productivity spillovers across firms matter. Moreover, productivity is found to be positively affected by intrasectoral R&D spillovers, while intersectoral R&D spillovers do not have a significant effect.

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“…As for the control variables, one needs to control for the impact of traditional agglomeration economies, on the one hand, and of changing regional industrial specialization, on the other hand, so as to reduce the possible biases in our estimates (Quatraro 2009b). Following Crescenzi, Rodriguez‐Pose, and Storper (2007), we captured the effects of agglomeration economies by the variable AGGL , which is calculated as the (log) ratio between regional population and size (square kilometers).…”

Section: The Evidence Of Pkementioning

confidence: 99%

Productivity Growth and Pecuniary Knowledge Externalities: An Empirical Analysis of Agglomeration Economies in European Regions

Antonelli¹,

Patrucco²,

Quatraro³

2010

Economic Geography

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The article investigates the effects of the agglomeration of technological activities on the growth in regional productivity, applying the notion of pecuniary knowledge externalities. Pecuniary knowledge externalities enable one to appreciate both the gains and losses associated with the regional concentration of knowledge‐generating activities. Both are two sides of the same coin. The gains are due to the reduction in the prices of knowledge as input into its dedicated markets, while the losses stem from the reduction in the prices of knowledge as an output. This analysis allows us to contextualize the effect of geographic proximity on knowledge externalities and their impact on regional growth. Our analysis leads to the hypothesis of an inverted U‐shaped relationship between the agglomeration of innovation activities and productivity growth. The empirical analysis based on a large sample of European regions from 1996 to 2003 supports the hypothesis that agglomeration yields diminishing net positive effects beyond a maximum.

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Innovation, structural change and productivity growth: evidence from Italian regions, 1980-2003

Cited by 58 publications

References 44 publications

Internal and external factors in innovation persistence

Internal and external factors in innovation persistence

A Spatial Analysis of the R&D-Productivity Nexus at Firm Level

Productivity Growth and Pecuniary Knowledge Externalities: An Empirical Analysis of Agglomeration Economies in European Regions

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