This paper explores the relation between the digitalization and of labour processes, the level of routineness of tasks and changes in employment. The levels of digitalization and routineness of occupations in 796 5-digit ISCO professional groups are measured using data from a unique Italian profession-level survey on skill, task and work contents-the INAPP-ISTAT Survey on Italian Occupations (ICP), an O*NET-type dataset. We develop three novel digitalization indices: a digital use index measuring the use of digital devices and technologies in the workplace, a digital skills index assessing the familiarity and skill in using digital technologies, and a digital tasks index capturing the frequency and importance of selected digital tasks. Using the same data-source the Autor and Dorn routine task intensity index is also computed. This allows us to explore, based on robust indicators on routinization and digitalization, the existence and the strength of a "routinized biased technological change" specifically associated to the use of digital technologies. Results show the multifaceted nature of both digitalization and routineness processes, both characterized by strong sectoral specificities and by being strongly associated with the skill content of labour professions. Professions characterized by higher digital skills are those showing the best employment performances (although this holds only in manufacturing sector). Both the descriptive and econometric evidences show a negative employment dynamics among professions combining high level of digitalization and routineness.

In this work we test if persistent innovators, defined according to different innovation activities (R&D, product and process innovation, patenting) grow more than other firms, and if innovation persistence can contribute to explain the so far little evidence in favor of persistence in growth itself. We exploit a somewhat uniquely long-in-time dataset tracing a representative sample of Spanish manufacturing firms over the period 1990-2012. This allows to overcome the difficulties in the definition of persistent innovators traditionally based on innovation surveys. Our findings, against the expectations, support that persistent innovators do not generally outperform the other firms. First, they do not grow more, and actually we find that, despite some variation across innovation persistence indicators, they even grow less than other firms in the top-quantiles of the growth rates distribution, that is among high-growth firms. Further, persistent innovators do not show higher growth persistence than other firms, in none of the quantiles of the growth rates distribution, independently from the innovation persistence indicator considered.

Although the common perception is that the pandemic is ‘the great equaliser’, workers’ tasks, contractual framework and position in the internal organisational hierarchy strongly affect their ability to work remotely.

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In this article we extend the model developed by Bogliacino and Pianta (2013a, 2013b) on the link between R&D, innovation and economic performance, considering the impact of innovation of export success. We develop a simultaneous three equation model in order to investigate the existence of a 'virtuous circle' between industries' R&D, share of product innovators and export market shares. We investigate empiricallyat the industry levelthree key relationships affecting the dynamics of innovation and export performance: first, the capacity of firms to translate their R&D efforts in new products; second, the role of innovation as a determinant of export market shares; third, the export success as a driver of new R&D efforts. The model is tested for 38 manufacturing and service sectors of six European countries over three time periods from 1995 to 2010. The model effectively accounts for the dynamics of R&D efforts, innovation and international performances of European industries. Moreover, important differences across countries emerge when we split our sample in a Northern group-Germany, the Netherlands and the United Kingdom and a Southern group-France, Italy and Spain. We find that the 'virtuous circle' between innovation and competitiveness holds for Northern economies only, while Southern industries fail to translate innovation efforts into export success.

Despite being symmetric in its very nature, the Covid-19 shock is affecting European economies in a very asymmetric way, threatening to deepen the divide between core and peripheral countries even more. It is not Covid-19 itself, however, but the contradictions within the EU's growth model and institutional architecture that would be to blame for such an outcome. The dramatic impact of the economic crisis brought on by the pandemic and the threat that it poses to Eurozone survival seem to have forced a reluctant Germany into action: a minor step, but an important signal. This note analyses the crossroads currently facing Europe-the risk of disintegration visa -vis the opportunity for a 'Hamiltonian moment'-discussing possible future scenarios in the light of past developments.

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. AbstractWhat has been the dynamics of productivity in the Italian business firms in the aftermath of the crisis? And what has been the impact of training efforts upon such dynamics? In this work we address these questions exploring a unique Italian microlevel dataset which links information on the amount and the nature of training and the balance-sheet data. First, we document what we call a neo-dualist tendency with a leader-laggard dynamics entailing a widening support of the productivity distributions. Second, we analyze the relationship between productivities and training intensities by means of quantile regression analysis, also controlling for additive fixed effects by means of Canay (2011) technique. There is indeed some relationship in the whole sample which however gets weaker when disaggregating by sector and by size. Moreover, hardly any dynamic relationship appears, either between initial training intensities and subsequent productivity changes, nor between changes in both variables. Our results do not imply of course that training is not important, but that its effectiveness must be shaped by other firm-specific characteristics, plausibly associated with idiosyncratic organizational capabilities.

This article analyses the ‘‘Jobs Act’’—the last structural reform implemented\ud in Italy—framing it within the labour market reform process starting in\ud 1997. Taking advantage of different data sources (administrative and labour force\ud data), the investigation provides the following results. First, monetary incentives\ud seem to play a key role in explaining the dynamics of new (or transformed) contracts.\ud Second, new open-ended contracts are mostly driven by transformation.\ud Third, a relevant share of new open-ended positions is characterized by part-time\ud contracts. Fourth, the increase in employment is concentrated among older workforce\ud (over 50 years old). Finally, new permanent jobs increase in low-skilled and\ud low-tech service sectors, while the opposite occurs in manufacturing (particularly in\ud high-tech industries)