R&D, spillovers, innovatoin systems and the genesis of regional growth in Europe

Research on the impact of innovation on regional economic performance in Europe has fundamentally followed three approaches: a) the analysis of the link between investment in R&D, patents, and economic growth; b) the study of the existence and efficiency of regional innovation systems; and c) the examination of geographical diffusion of regional knowledge spillovers. These complementary approaches have, however, rarely been combined. Important operational and methodological barriers have thwarted any potential crossfertilization. In this paper, we try to fill this gap in the literature by combining in one model R&D, spillovers, and innovation systems approaches. A multiple regression analysis is conducted for all regions of the EU-25, including measures of R&D investment, proxies for regional innovation systems, and knowledge and socio-economic spillovers. This approach allows us to discriminate between the influence of internal factors and external knowledge and institutional flows on regional economic growth. The empirical results highlight how the interaction between local and external research with local and external socio-economic and institutional conditions determines the potential of every region in order to maximise its innovation capacity. They also indicate the importance of proximity for the transmission of economically productive knowledge, as spillovers show strong distance decay effects. In the EU-25 context, only the innovative efforts pursued within a 180 minute travel radius have a positive and significant impact on regional growth performance.Economic growth, innovation, R&D, knowledge, spillovers,

The geographical processes behind innovation: a Europe-United States comparative analysis

The United States and European Union differ significantly in terms of their innovative capacity: the former have been able to gain and maintain world leadership in innovation and technology while the latter continues to lag. Notwithstanding the magnitude of this innovation gap and the political emphasis placed upon it on both sides of the Atlantic, very little systematic comparative analysis has been carried out on its causes. The empirical literature has emphasised the structural differences between the two continents in the quantity and quality of the major ‘inputs’ to innovation: R&D investments and human capital. The very different spatial organisation of innovative activities in the EU and the US – as suggested by a variety of contributions in the field of economic geography – could also influence innovative output. This paper analyses and compares a wide set of territorial processes that influence innovation in Europe and the United States. The higher mobility of capital, population, and knowledge in the US not only promotes the agglomeration of research activity in specific areas of the country but also enables a variety of territorial mechanisms to fully exploit local innovative activities and (informational) synergies. In the European Union, in contrast, imperfect market integration, and institutional and cultural barriers across the continent prevent innovative agents from maximising the benefits from external economies and localised interactions, but compensatory forms of geographical process may be emerging in concert with further European integration.Innovation, Research and development, Regions, Spillovers, Agglomeration, Systems of innovation, European Union, United States

Fiscal decentralisation, efficiency, and growth

Much of the recent worldwide trend towards devolution has been driven by the belief that fiscal decentralization is likely to have a positive effect on government efficiency and economic growth. It is generally assumed that the transfer of powers and resources to lower tiers of government allows for a better matching of public policies to local needs and thus for a better allocation of resources. These factors, in turn, are expected to lead to an improvement in regional economic performance, if subnational authorities shift resources from current to capital expenditures in search of a better response to local needs. This paper tests these assumptions empirically by analysing the evolution of subnational expenditure categories and regional growth in Germany, India, Mexico, Spain, and the USA. We find that, contrary to expectations, decentralisation has coincided in the sample countries with a relative increase in current expenditures at the expense of capital expenditures, which has been associated with lower levels of economic growth in countries where devolution has been driven from above (India and Mexico), but not in those where it has been driven from below (Spain). The paper hypothesises that the differences in legitimacy between the central or federal government and subnational governments in top-down and bottom-up processes of devolution may be at the origin of the diverse capacity to deliver greater allocative and productive efficiency and, eventually, greater economic growth by devolved governments.devolution; fiscal decentralisation; subnational expenditure; economic growth; Germany; India; Mexico; Spain; United States

Change in urban concentration and economic growth

The paper investigates (1) the evolution of urban concentration from 1985 to 2010 in 68 countries around the world and (2) the extent to which the degree of urban concentration affects national economic growth. It aims to overcome the limitations of existing empirical literature by building a new urban population dataset that allows the construction of a set of Herfindahl-Hirschman-Indices which capture a country’s urban structure in a more nuanced way than the indicators used hitherto. We find that, contrary to the general perception, urban concentration levels have on average decreased or remained stable (depending on indicator). However, these averages camouflage diverging trends across countries. The results of the econometric analysis suggest that there is no uniform relationship between urban concentration and economic growth. Urban concentration is beneficial for economic growth in high-income countries, while this effect does not hold for developing countries. The results differ from previous analyses that generally underscore the benefits of urban concentration at low levels of economic development. The results are robust to accounting for reverse causality through IV analysis, using exogenous geographic factors as instruments

Nanostructural differences in pectic polymers isolated from strawberry fruits with low expression levels of pectate lyase or polygalacturonase genes

Our research group has obtained transgenic strawberry plants expressing antisense sequences of either a pectate lyase (APEL lines) [1] or a polygalacturonase gene (APG lines) [2]. Both genes encode ripening-specific endo-pectinases with a common target, deesterified homogalacturonans, but each enzyme act by a different mechanism and pH range. Ripe fruits from both transgenic genotypes were significantly firmer than control, being APG fruits on average 25% firmer than APEL fruits. Cell wall analysis of both transgenic genotypes indicated that pectin fractions extracted with CDTA and sodium carbonate were significantly modified in transgenic fruits [2,3]. To gain insight in the role of these pectinases in pectin disassembly during ripening, CDTA and Na2CO3 pectins have been analyzed by atomic force microscopy (AFM). APEL and APG CDTA pectins had similar contour lengths but both were significantly longer than control. Similarly, APG carbonate chains were longer than control, showing APEL carbonate chains an intermediate length. Furthermore, transgenic pectins displayed a more complex branching pattern and a higher number of micellar aggregates, especially in the sodium carbonate fractions of APG samples. Acid hydrolysis of carbonate pectins reduced the number of micellar aggregates. AFM analyses confirm that the inhibition of both pectinases reduces pectin disassembly, and also suggest that each pectinase acts on specific pectin domains. Particularly, polygalacturonase silencing induces more significant pectin modifications, nicely correlated with the firmer phenotype of APG fruits, than the down-regulation of pectate lyase

OGSA/Globus Evaluation for Data Intensive Applications

We present an architecture of Globus Toolkit 3 based testbed intended for evaluation of applicability of the Open Grid Service Architecture (OGSA) for Data Intensive Applications.Comment: To be published in the proceedings of the XIX International Symposium on Nuclear Electronics and Computing (NEC'2003), Bulgaria, Varna, 15-20 September, 200

How ‘Smart’ Are Smart Specialization Strategies?

The introduction of smart specialization (S3) as a fundamental pillar of the 2014 reform of the EU cohesion policy is a significant strategic shift in European development intervention. S3 strategies aimed at mobilizing the economic potential of each country and region of the EU by allowing a more place-based and bottom-up approach to development. However, despite the salience that S3 has acquired in a short period of time, there has been no European-wide evaluation of the extent to which S3 strategies truly reflect the economic characteristics and potential of the territories where they are being implemented. This article examines the characteristics of S3 strategies across Europe – by focusing on their development axes, economic or scientific domains and policy priorities – to assess whether this is the case. The results show that S3 strategies display a proliferation of objectives, a problem that particularly affects areas with weaker quality of government. Moreover, strategies are generally loosely connected with the intrinsic conditions of each region and mostly mimic what neighbouring areas are doing. The lack of more concise and focused S3 strategies is likely to undermine the effectiveness of what is, otherwise, a very interesting and worthwhile policy experiment

Percolation with long-range correlated disorder

Long-range power-law correlated percolation is investigated using Monte Carlo simulations. We obtain several static and dynamic critical exponents as function of the Hurst exponent $H$ which characterizes the degree of spatial correlation among the occupation of sites. In particular, we study the fractal dimension of the largest cluster and the scaling behavior of the second moment of the cluster size distribution, as well as the complete and accessible perimeters of the largest cluster. Concerning the inner structure and transport properties of the largest cluster, we analyze its shortest path, backbone, red sites, and conductivity. Finally, bridge site growth is also considered. We propose expressions for the functional dependence of the critical exponents on $H$