Do Clusters Generate Greater Innovation and Growth? An Analysis of European Regions. Bruges European Economic Research (BEER) Papers 21/October 2011

The analysis of clusters has attracted considerable interest over the last few decades. The articulation of clusters into complex networks and systems of innovation -- generally known as regional innovation systems -- has, in particular, been associated with the delivery of greater innovation and growth. However, despite the growing economic and policy relevance of clusters, little systematic research has been conducted into their association with other factors promoting innovation and economic growth. This article addresses this issue by looking at the relationship between innovation and economic growth in 152 regions of Europe during the period between 1995 and 2006. Using an econometric model with a static and a dynamic dimension, the results of the analysis highlight that: a) regional growth through innovation in Europe is fundamentally connected to the presence of an adequate socioeconomic environment and, in particular, to the existence of a well-trained and educated pool of workers; b) the presence of clusters matters for regional growth, but only in combination with a good ‘social filter’, and this association wanes in time; c) more traditional R&D variables have a weak initial connection to economic development, but this connection increases over time and, is, once again, contingent on the existence of adequate socioeconomic conditions.

Banking Sector Soundness, Innovation, and Development: Emerging Europe and South Asia. ACES Working Papers, 2012

While most academic and practitioner researchers agree that a country’s commercial banking sector’s soundness is a very significant indicator of a country’s financial market health, there is considerably less agreement and substantial confusion surrounding what constitutes a healthy bank in the aftermath of 2007+ financial crisis. Global banks’ balance sheets, corporate governance, management compensation and bonuses, toxic assets, and risky behavior are all under scrutiny as academics and regulators alike are trying to quantify what are “healthy, safe and good practices” for these various elements of banking. The current need to quantify, measure, evaluate, and compare is driven by the desire to spot troubled banks, “bad and risky” behavior, and prevent real damage and contagion in the financial markets, investors, and tax payers as it did in the recent crisis. Moreover, future financial crisis has taken on a new urgency as vast amounts of capital flows (over $1 trillion) are being redirected to emerging markets. This study differs from existing methods in the literature as it entail designing, constructing, and validating a critical dimension of financial innovation in respect to the eight developing countries in the South Asia region as well as eight countries in emerging Europe at the country level for the period 2001 – 2008, with regional and systemic differentials taken into account. Preliminary findings reveal that higher stages of payment systems development have generated efficiency gains by reducing the settlement risk and improving financial intermediation; such efficiency gains are viewed as positive financial innovations and positively impact the banking soundness. Potential EU candidate countries: Albania; Montenegro; Serbia

R&D, Spillovers, Innovation Systems and the Genesis of Regional Growth in Europe. Bruges European Economic Research (BEER) Papers 5/October 2006

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 cross-fertilization. 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 socioeconomic 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.