The skill bias in Italy: a first report

In this study three possible determinants of the increased demand for skilled workers are tested using a panel of 412 Italian manufacturing firms over the period 1989-1997. The results suggest the statistical significance of the impact of organisational change, while they tend to exclude the roles of R&D spending and foreign direct investment.

R&D and Employment: Some Evidence from European Microdata

After discussing theory regarding the consequences of technological change on employment and surveying previous microeconometric literature, our aim with this paper is to test the possible job creation effect of business R&D expenditures, using a unique longitudinal database covering 677 European manufacturing and service firms over the period 1990-2008. The main outcome from the whole sample dynamic LSDVC (Least Squared Dummy Variable Corrected) estimate is the labour-friendly nature of companies’ R&D, the coefficient of which turns out to be statistically significant, although not very large in magnitude. However, the positive and significant impact of R&D expenditures on employment is detectable in services and high-tech manufacturing but absent in the more traditional manufacturing sectors. This means that we should not expect positive employment effects from increasing R&D in the majority of industrial sectors. This is something that should be borne in mind by European innovation policy makers having employment as one of their specific aims.manufacturing, employment, innovation, services, LSDVC

How Do Young Innovative Companies Innovate?

This paper discusses the determinants of product innovation in young innovative companies (YICs) by looking at in-house and external R&D and at the acquisition of external technology in embodied and disembodied components. These input-output relationships are tested on a sample of innovative Italian firms. A sample-selection approach is applied. Results show that in-house R&D is linked to the propensity to introduce product innovation both in mature firms and YICs; however, innovation intensity in the YICs is mainly dependent on embodied technical change from external sources, while − in contrast with the incumbent firms − in-house R&D does not play a significant role.R&D, product innovation, embodied technical change, CIS 3, sample selection

The impact of R&D on employment in Europe: a firm-level analysis

The aim of this paper is to test the employment effect of business R&D expenditures, using a unique longitudinal database covering 677 European manufacturing and service firms over the period 1990-2008. Main result from the whole sample dynamic LSDVC (Least Squared Dummy Variable Corrected) estimate is the labour-friendly nature of companies’ R&D, the coefficient of which turns out to be statistically significant, although not very large in magnitude. However, the positive and significant job creation effect of R&D expenditures is detectable in services and high-tech manufacturing but absent in the more traditional manufacturing sectors. This means that we should not expect positive employment effects from increasing R&D in the majority of industrial sectors. This evidence should be kept in mind by European innovation policy makers having employment as one of their specific aims.Innovation, employment, manufacturing, services, LSDVC

The Transatlantic Productivity Gap: Is R&D the Main Culprit?

The literature has pointed to different causes to explain the productivity gap between Europe and United States in the last decades. This paper tests the hypothesis that the lower European productivity performance in comparison with the US can be explained not only by a lower level of corporate R&D investment, but also by a lower capacity to translate R&D investment into productivity gains. The proposed microeconometric estimates are based on a unique longitudinal database covering the period 1990-2008 and comprising 1,809 US and European companies for a total of 16,079 observations. Consistent with previous literature, we find robust evidence of a significant impact of R&D on productivity; however – using different estimation techniques – the R&D coefficients for the US firms always turn out to be significantly higher. To see to what extent these transatlantic differences may be related to the different sectoral structures in the US and the EU, we differentiated the analysis by sectors. The result is that both in manufacturing, services and high-tech sectors US firms are more efficient in translating their R&D investments into productivity increases.R&D, productivity, embodied technological change, US, EU

The Transatlantic Productivity Gap: Is R&D the Main Culprit?

The literature has pointed to different causes to explain the productivity gap between Europe and United States in the last decades. This paper tests the hypothesis that the lower European productivity performance in comparison with the US can be explained not only by a lower level of corporate R&D investment, but also by a lower capacity to translate R&D investment into productivity gains. The proposed microeconometric estimates are based on a unique longitudinal database covering the period 1990-2008 and comprising 1,809 US and European companies for a total of 16,079 observations. Consistent with previous literature, we find robust evidence of a significant impact of R&D on productivity; however – using different estimation techniques - the R&D coefficients for the US firms always turn out to be significantly higher. To see to what extent these transatlantic differences may be related to the different sectoral structures in the US and the EU, we differentiated the analysis by sectors. The result is that both in manufacturing, services and high-tech sectors US firms are more efficient in translating their R&D investments into productivity increases.R&D, productivity, embodied technological change, US, EU. JEL classification:O33

Is Corporate R&D Investment in High-Tech Sectors More Effective? Some Guidelines for European Research Policy

This paper discusses the link between R&D and productivity across the European industrial and service sectors. The empirical analysis is based on both the European sectoral OECD data and on a unique micro longitudinal database consisting of 532 top European R&D investors. The main conclusions are as follows. First, the R&D stock has a significant positive impact on labour productivity; this general result is largely consistent with previous literature in terms of the sign, the significance and the magnitude of the estimated coefficients. More interestingly, both at sectoral and firm levels the R&D coefficient increases monotonically (both in significance and magnitude) when we move from the low-tech to the medium and high-tech sectors. This outcome means that corporate R&D investment is more effective in the high-tech sectors and this may need to be taken into account when designing policy instruments (subsidies, fiscal incentives, etc.) in support of private R&D. However, R&D investment is not the sole source of productivity gains; technological change embodied in gross investment is of comparable importance on aggregate and is the main determinant of productivity increase in the low-tech sectors. Hence, an economic policy aiming to increase productivity in the low-tech sectors should support overall capital formation.innovation, industrial policy, R&D, productivity, high-tech sectors

The impact of R&D on employment in Europe: a firm-level analysis

The aim of this paper is to test the employment effect of business R&D expenditures, using a unique longitudinal database covering 677 European manufacturing and service firms over the period 1990-2008. Main result from the whole sample dynamic LSDVC (Least Squared Dummy Variable Corrected) estimate is the labour-friendly nature of companies’ R&D, the coefficient of which turns out to be statistically significant, although not very large in magnitude. However, the positive and significant job creation effect of R&D expenditures is detectable in services and high-tech manufacturing but absent in the more traditional manufacturing sectors. This means that we should not expect positive employment effects from increasing R&D in the majority of industrial sectors. This evidence should be kept in mind by European innovation policy makers having employment as one of their specific aims

Economic Sustainability, Innovation, and the ESG Factors: An Empirical Investigation

open3noThe growing attention to sustainability has generated increasing interest in its relevant determi-nants and a possible relationship with economic growth's main drivers. Our paper contributes - in three ways - to this literature by proposing an empirical analysis of most innovative companies listed worldwide (909 firms over the 2013-17 time-span): firstly, market-perceived innovation - proxied by the interaction between R&D intensity and the market-to-book ratio - has a positive impact on economic sustainability; secondly, when the three ESG pillars are considered, the social one turns out to have the highest effect on economic sustainability; thirdly, results are confirmed even when we control for context-specific conditions.openLuca Di Simone, Barbara Petracci, Maria Cristina PivaLuca Di Simone, Barbara Petracci, Maria Cristina Piv

Does Easy Start-Up Formation Hamper Incumbents R&D Investment?

Colombo L, Dawid H, Piva M, Vivarelli M. Does Easy Start-Up Formation Hamper Incumbents R&D Investment?. Working Papers in Economics and Management. Vol 08-2013. Bielefeld: Bielefeld University, Department of Business Administration and Economics; 2013.This paper investigates, both theoretically and empirically, the implications that complementary assets needed for the formation of start-ups - proxied by the ease of access to financial resources - have on the innovative efforts of incumbent firms. In particular, we develop a theoretical model, highlighting a strategic in- centive effect by which the innovative efforts of incumbent firms are decreasing in the availability of the complementary assets needed for the creation of a start- up. The empirical relevance of this effect is investigated by using firm level data drawn from the third Italian Community Innovation Survey covering the period 1998-2000. The results of our empirical analysis support our theory-based insights