Relatedness, external linkages and innovation

This paper has two main objectives. First, it estimates the impact of related and unrelated variety of European regions’ knowledge structure on their patenting activity. Second, it looks at the role of technological relatedness and extra-local knowledge acquisitions for local innovative activity. Specifically, it assesses how external technological relatedness affects regional innovation performance. Results confirm the strong relevance of related variety for regional innovation; whereas the impact of unrelated variety seems relevant only for the generation of breakthrough innovations. The study also shows that external knowledge flows have a higher impact, the higher the similarity between these flows and the extant local knowledge base

Do labour mobility and technological collaborations foster geographical knowledge diffusion? The case of European regions

The goal of this paper is twofold: first, we aim to assess the role played by inventors’cross-regional mobility and collaborations in fostering knowledge diffusion across regions and subsequent innovation. Second, we intend to evaluate the feasibility of using mobility and co-patenting information to build cross-regional interaction matrices to be used within the spatial econometrics toolbox. To do so, we depart from a knowledge production function where regional innovation intensity is a function not only of the own regional innovation inputs but also external accessible knowledge stocks gained through interregional interactions. Differently from much of the previous literature, cross-section gravity models of mobility and co-patents are estimated to use the fitted values to build our spatial weights matrices, which characterize the intensity of knowledge interactions across a panel of 269 regions covering most European countries over 6 year

Mobility, networks and innovation: The role of regions’ absorptive capacity

The purpose of this paper is to assess the extent to which regions’ absorptive capacity determines knowledge flows’ impact on regional innovation intensity. In particular, it looks at the role of the cross-regional co-patenting and mobility of inventors in fostering innovation, and how regions with large absorptive capacity make the most of these two phenomena. The paper uses a panel of 274 regions over 8 years to estimate a regional knowledge production function with fixed-effects. Network and mobility variables, and interactions with regions’ absorptive capacity, are included among the r.h.s. variables to test the hypotheses. We find evidence of the role of both mobility and networks. However, inflows of inventors are critical for wealthier regions, while have more nuanced effects for less developed areas. It also shows that regions’ absorptive capacity critically adds an innovation premium to the benefits to tap into external knowledge pools. Indeed, the present study corroborates earlier work on the role of mobility and networks for spatial knowledge diffusion and subsequent innovation. However, it clearly illustrates that a certain level of technological development is critical to take advantage of these phenomena, and therefore one-size-fits-all innovation policies need to be reconsidered

Research networks and inventors’ mobility as drivers of innovation evidence from Europe

We investigate the importance of the labour mobility of inventors, as well as the scale, extent and density of their collaborative research networks, for regional innovation outcomes. To do so, we apply a knowledge production function framework at the regional level and include inventors’ networks and their labour mobility as regressors. Our empirical approach takes full account of spatial interactions by estimating a spatial lag model together, where necessary, with a spatial error model. In addition, standard errors are calculated using spatial heteroskedasticity and autocorrelation consistent estimators to ensure their robustness in the presence of spatial error autocorrelation and heteroskedasticity of unknown form. Our results point to the existence of a robust positive correlation between intraregional labour mobility and regional innovation, whilst the relationship with networks is less clear. However, networking across regions positively correlates with a region’s innovation intensity

What attracts knowledge workers? The role of space, social connections, institutions, jobs and amenities

The aim of the present paper is to identify the determinants of the geographical mobility of skilled individuals, such as inventors, across European regions. Their mobility contributes to the geographical diffusion of knowledge and reshapes the geography of talent. We test whether geography, amenities, job opportunities and social proximity between inventors’ communities, and the so called National System of Innovation, drive in and out flows of inventors between pairs of regions. We use a control function approach to address the endogenous nature of social proximity, and zero inflated negative binomial models to accommodate our estimations to the count nature of the dependent variable and the high number of zeros it contains. Our results highlight the importance of physical proximity in driving the mobility patterns of inventors. However, job opportunities, social and institutional relations, and technological and cultural proximity also play key roles in mediating this phenomenon

A relational approach to the geography of innovation: a typology of regions

The aim of this study was to devise a method for computing a composite indicator that measures the regional degree of exposure to external knowledge sources. On the basis of this indicator, we propose a typology of regions according to their potential capacity to access extra-local items of knowledge, which might help them to recombine complementary elements of such an asset to produce a higher number of new ideas. Building on various research streams that have been relatively independent to date, we summarize a non-exhaustive instrumental list of recent studies that motivates our approach and the construction of our complex indicator, which can be used to appraise the extent to which each region is in an optimal position to access external innovative resources

Assessing agglomeration economies in a spatial framework with endogenous regressors (2009)

This paper is concerned with the influence of agglomeration economies on economic outcomes across British regions. The concentration of economic activity in one place can foster economic performance due to the reduction in transportation costs, the ready availability of customers and suppliers, and knowledge spillovers. However, the concentration of several types of intangible assets can boost productivity as well. Thus, using an interesting dataset which proxies regional productivity, we will assess the relative importance of agglomeration and other assets, controlling for endogeneity, spatial autocorrelation and heteroscedasticity at the same time. Our results suggest that agglomeration has a definite positive influence on productivity, although our estimates of its effect are dramatically reduced when spatial dependence and other hitherto omitted variables proxying intangible assets are controlled for

Geographical distribution of the COVID-19 pandemic across waves in Spain

This paper pursues a deep insight in the evolution of the spatial distribution of the pandemic in the Spanish provinces along the six waves. Through the use of spatial exploratory techniques, we observe that the geographical spread of the COVID-19 has been changing considerably so that the conclusions obtained for specific points in time are not transferable to other moments of the pandemic. We also take into consideration the changes in the determinants of the spread of the pandemic across waves while considering the possibility of external effects across provinces through the estimation of spatial regressions

Exploration during turbulent times an analysis of the effects of R&D cooperation on radical innovation performance during the economic crisis

During the recent economic recession, firms have been less willing to invest in innovation, which often is an uncertain and long-term process. This reduction did not occur equally for all firms, and recent literature has analysed the characteristics of those firms which maintain or even raise their innovative efforts during the crisis. Technological collaboration has been recognised as one of the most important external sources that affects innovation performance. However, how economic recession has changed the impact of R and D collaboration on innovation performance has received few attention. This paper investigates the effect of different external cooperation patterns of firms before and during the last economic recession. We highlight the role of geographical and organizational diversity of knowledge sources, as well as the effect of past experience. We find that R and D cooperation has a stronger effect on radical innovation performance during the economic recession than before, this being true irrespectively of the geographical location of the partners. This benefit from cooperation during the economic turmoil is higher in the case of firms having a diverse portfolio of partners. In addition, we also find that past experience in R and D cooperation positively affects innovation performance during the crisis

Evidence on the role of ownership structure on firms' innovative performance

Based on the Knowledge Production Function framework given by Griliches -1979-, we slightly modify it so that the innovative output depends upon a set of factors related to the firm internal characteristics and are influenced by the environment. Specifically, regarding the firm internal determinants the effect of the concentration of the ownership, the composition of the boards of directors and the effect of the nature of the ownership (foreign and public) are analyzed. Additionally, in order to capture the determinants of the environment in which the firm operates other variables concerning the internationalization of market, the agglomeration economies and the regional knowledge externalities are also considered. In order to assess the impact of these determinants on the number of patents and models of use awarded by the firm, the discreteness of the latter variable has to be taken into account. We apply Poisson and Negative Binomial models for a more comprehensive evaluation of the hypothesis in a panel of Spanish manufacturing firms. The results show patenting activity is positively favoured by being located in an environment with a high innovative activity, due to the existence of knowledge spillovers and agglomeration economies