Innovative capacity of firms has traditionally been explained through intra-firm characteristics. In the more recent literature, much emphasis has been put on determinants that are external to the firm. These external factors, called knowledge spillovers, refer to the positive externalities that firms receive in terms of knowledge from the environment in which they operate. Geographers and industrial economists underline the importance of knowledge spillovers. Relational capital is defined as all relationships – market relationships, power relationships and cooperation – established between firms, institutions and people, which stem from a strong sense of belonging and a highly developed capacity of cooperation typical of culturally similar people and institutions. The main aims of the paper are twofold. The first is to underline the major conceptual differences between industrial and regional economists. The second is to provide a quantitative empirical approach, using econometric techniques, to verify the existence and importance of relational capital on the innovation activity of firms. Proxies are found to represent the channels through which local knowledge develops at the local level and therefore indirectly of relational capital. The different regional, sectoral and firm characteristics are also analysed to understand whether they influence the role relational capital has on innovation. It is indeed reasonable to expect that relational capital will play a different role in different regional, sectoral and firm’s contexts
In this paper we employ dichotomous, multinomial and conditional logit models to analyze the employment-migration behavior of some 380,000 U.K. university graduates. By controlling for a range of variables related to human capital acquisition and local economic conditions, we are able to distinguish between different types of sequential migration behavior from domicile to higher education and on to employment. Our findings indicate that U.K. female graduates are generally more migratory than male graduates. We suggest that the explanation for this result lies in the fact that migration can be used as a partial compensation mechanism for gender bias in the labor market. Copyright Blackwell Publishing, Inc. 2007
With the aid of a geographical information system, our paper constructs a three stage least squares simultaneous equation model to inv estigate the interrelationships between the interregional flows of human capital, and the innovation dynamism of a region. In order to do this, we model the interregional migration behaviour of high quality British university graduates from university into first employment, and we relate these human capital flows to both the labour market characteristics and the knowledge characteristics of the employment regions. This is done for both all industries and for just high technology industries. Our results indicate that for England and Wales there is a two-way causality between the interregional human-capital employment-migration flows of recent university graduates and the innovation per formance of regions. However, t he result s for Great Britain as a whole depe nd on whether London is included and Scotland is excluded. We find little or no support that the presence of local universities or small firms promotes regional innovation.
This paper reports on a model of the sequential migration behaviour of some 76 000 Scottish and Welsh students, from their domicile location to the location of their higher education and on to their employment location. A logit model methodology is employed to analyse the choice of the location of the university attended, whether inside or outside Scotland or Wales. Then, within a GIS framework, migration-on-migration correlations and elasticities are estimated in order to identify the mobility effects of human capital acquisition. The results confirm the DaVanzo hypothesis that subsequent migration is related to previous migration and also the Sjaastad—Becker hypothesis that higher human capital individuals are more geographically mobile. However, there are institutional differences between the two countries which mean that the mobility effects of human capital acquisition have to be interpreted carefully in the light of other economic, geographical and social influences.
After defining the concept of resilience and its application to the regional context, the paper presents a preliminary evaluation of regional economic resilience in the case of the Italian regions. In doing so, we follow the approach by Martin (J Econ Geogr 12:1–32, 2012) and Martin and Sunley (2015) who identify three different dimensions to regional economic resilience: (a) resistance, i.e., the degree of sensitivity or depth of reaction of a regional economy to a recessionary shock; (b) recovery, i.e., the speed and magnitude of the recovery; (c) reorientation and renewal, i.e., the ability of a region to adapt in response to the shock and renew its growth path. The analysis is conducted at the local labor systems (LLS) geographical level and focuses, at this stage, only on the first two dimensions of resilience, i.e., resistance and recovery. The recessionary shock (2009–2010) is defined following the Italian National Statistical Institute approach for which a recession implies a decrease in GDP for three consecutive trimesters. The pre-recessionary period is 2007–2008 and the recovery period 2011 (as a new recession started again in Italy at the end of 2011). The results clearly point at very heterogeneous resilience for the Italian LLS
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