Heterogeneity in R&D cooperation: an empirical investigation

This work explores the roles of potential simultaneity and heterogeneity in determining firms' decisions to engage in R&D collaboration, using a sample of Italian manufacturing firms. Partnerships with other firms, research institutions, universities and other small centres are considered jointly by applying a multivariate probit specification. This allows for systematic correlations among different cooperation choices. The results support the hypothesis that the four cooperation decisions are interdependent. The decision to cooperate in R&D differs significantly depending on the cooperation options. Public support, the researcher intensity and the size are all of importance in determining R&D alliance strategies

An Empirical investigation of the determinants of R&D cooperation

This paper is a contribution to the empirical literature on R&D cooperation. It explores the variables that determine a firm's R&D collaborative expenditure by means of a sample of Italian firms. A tobit model, adjusted for heteroscedasticity and non-normality (Inverse Hyperbolic Sin transformation to the dependent variable), is used to deal with the large number of zero responses. Size, public grants and innovation are found to be effective in determining the level of cooperative R&D expenditure. Absorptive capacity, expressed by the in-house stable R&D effort, also plays an important role. This is in line with the idea that internal R&D is required if a firm is to take advantage of the outcomes of external R&D investment

The Effect of R&D subsidies on private R&D: Evidence from italian manufacturing data

This paper uses a comprehensive firm level data set for the manufacturing sector in Italy to investigate the effect of government support on privately financed R&D expenditure. Estimates from a two-step equation model suggest that public assistance has a positive effect on private R&D investment. A non parametric matching procedure is also used to investigate the same effect. Here again the results suggest that the recipient firms achieve more private R &D than they would have without public support. The paper also examines whether public funding effects the financial sources available for R&D and finds that grants encourage credit financing for R&D. The effects on the use of internal sources are not conclusive

Investment in Information and Communication Technologies (ICT): The Role of Geographic Distance and Industry Proximity

Employing data from Italian manufacturing firms, this paper attempts to check the existence of geographic and industry distance effects on the investment in information and communication technology (ICT). Geographic distance is defined by the Euclidean distance between each possible pair of locations (municipalities) according to their geographical coordinates. Industry proximity is measured by the firms' industry distance according to the trade intensity between sectors. The model specified here refers to the combined spatial autoregressive model with autoregressive disturbances (SARAR), which are modelled simultaneously. The results show that both geographical and industry proximity have positive effects on the amount of ICT investment by firms. Furthermore, an econometric analysis shows that productivity, R&D activity, subsidies, reorganization, and labor composition are jointly correlated to ICT investment

ICT productivity and firm propensity to innovative investment: learning effect evidence from italina micro data

This work attempts to shed light on the “information technology productivity paradox”. Employing a large data set of Italian manufacturing firms we compute ICT marginal productivity across different cluster of firms and the impact of information and communication technology (ICT) on output growth. Following Yorukoglu’s (1998) vintage capital idea, in which ICT is associated with consistent learning-by-doing effect, we explore whether firm capital replacement/introduction behaviour and firm’s technological investment aptitude have any role in explaining ICT productivity. We find that low capital replacement (high capital introduction) yields to sensibly greater ICT marginal revenues compared to high replacement (low capital introduction). However, what really matters in explaining ICT productivity is the level of innovation the new capital embodies. In fact, for non-innovative firms the ICT paradox is far less consistent. This strongly suggests the existence of learning by doing effects. In terms of growth contribution we find that ICT have an impact disproportionately wide compared to the share in total investment they representGrowth, investment behaviour, information and communication technologies, productivity, replacement

Government size and the composition of public spending in a neoclassical growth model

This paper develops a non-linear theoretical relationship between public spending and economic growth. The model identifies the “optimal” size of government and the “optimal” composition of government spending. Given the size of the government, different allocations of public resources lead to different growth rates in the transition dynamics, depending on their elasticity. We argue that neglecting the hypothesis of non-linearity and the different impact different kinds of public spending have on economic performance results in models which suffer from mis-specification. Traditional linear regression analysis may thus be biased

The Economic effects of information technology: firm level evidence from the Italian case

Employing a large data set of manufacturing firms the paper tries to assess the impact of information and communication technology (ICT) on productivity growth in Italy and to investigate the differences in ICT adoption between North and South of the country. Not all firms invest in ICT and skills, or better to say, not at the same rate. This situation is found to be at the base of the broad productivity variance across the sample. In Italy performance asymmetry has a strong territorial identity since in the North firms invest more in ICT and ICT complements relatively to the South which appears to be rather backwards. A standard regression methodology is employed to calculate the growth rate of productivity and the impact of ICT adoption on it. We then focus on the different matching between human capital and ICT adoption in the two areas. Our findings support the idea that using ICT has beneficial effects on overall productivity growth. Moreover, the use of ICT can help firms in the South to catch up relatively the northern ones, provided that they employ more skilled workers

Regional disparity in ICT adoption: an empirical evaluation of the effects of subsidies in Italy

This paper investigates on a marked case of regional inequality concerning the information and communication technology adoption process and the role of subsidies in Italy. There is a consolidated and persistent gap between the industrialized North and the sensibly backward South. Econometric results show that adoption of ICT is affected by the geographical location, the industry and firm characteristics. A matching estimator is applied to explore subsidies effectiveness. We find that subsidies have a significant impact but only for small firms. Given the firm system in Italy, we conclude that, to limit the acceleration of Italian North-South dualism, subsidies should only be granted to small firms

ICT productivity and firm propensity to innovative investment: learning effect evidence from Italian micro data

This work attempts to shed light on the “information technology productivity paradox”. Employing a large data set of Italian manufacturing firms we compute ICT marginal productivity across different cluster of firms and the impact of information and communication technology (ICT) on output growth. Following Yorukoglu’s (1998) vintage capital idea, in which ICT is associated with consistent learning-by-doing effect, we explore whether firm capital replacement/introduction behaviour and firm’s technological investment aptitude have any role in explaining ICT productivity. We find that low capital replacement (high capital introduction) yields to sensibly greater ICT marginal revenues compared to high replacement (low capital introduction). However, what really matters in explaining ICT productivity is the level of innovation the new capital embodies. In fact, for non-innovative firms the ICT paradox is far less consistent. This strongly suggests the existence of learning by doing effects. In terms of growth contribution we find that ICT have an impact disproportionately wide compared to the share in total investment they represent

A Neoclassical growth model with public spending

This paper analyses the effect of public expenditures in the context of a modified Solow model of capital accumulation with optimising agents. The model identifies optimal government size and optimal composition of public expenditures which maximize the rate of growth in the dynamics to the steady state and maximize the long run level of per capita income. Different allocations of public resources lead to different growth rates in the transitional dynamics depending on their elasticity. However effects from fiscal policy are only temporary and disappear in the steady state. Finally we argue that neglecting the nonlinear nature of the relationship between government spending and growth may lead empirical studies to biased results