Agglomeration, Clusters and Entrepreneurship: Studies in by Charlie Karlsson, Borje Johansson, Roger R. Stough

By Charlie Karlsson, Borje Johansson, Roger R. Stough

Local monetary improvement has skilled significant dynamism over fresh years. probably the main striking situations have been the increase of China and India to emergent kingdom prestige via the flip of the millennium. With time now for hindsight, this booklet identifies a number of the key forces in the back of those improvement successes, particularly agglomeration, clusters and entrepreneurship.

The specialist members discover those 3 forces, which shape the root of a lot scholarly paintings in new financial geography and endogenous progress concept and coverage. the following, lecturers from throughout Europe, North the US, Asia and Australia ponder the function of agglomeration, clusters and entrepreneurship in nearby financial improvement inside an international industry context.

The e-book offers sturdy conceptual and methodological contributions to the transforming into physique of data that extends those theoretical ideas, and prescribes coverage and sensible purposes. appropriate case reports underpin the unique empirical analyses.

Academics, scholars, researchers and policymakers within the fields of entrepreneurship, nearby improvement and local technological know-how will locate this publication to be an enlightening read.

Contributors: L. Achtenhagen, J. Bastesen, I. Bernhard, N. Carbonara, T.L. Clower, G.A.S. cook dinner, I. Giannoccaro, L. Iandoli, H. Jeong, B. Johannson, C. Karlsson, okay. Kobayashi, S. Koster, A. Manduchi, E. Marchione, M. Markantoni, L. Naldi, okay. Nyström, M. Onishi, N.R. Pandit, R. Picard, C. Ponsiglione, T.-K. Shyy, C. tune, R.J. Stimson, R.R. Stough, D. Strijker, E. Vatne, B.L. Weinstein, E. Wihlborg, G. Zollo

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Extra resources for Agglomeration, Clusters and Entrepreneurship: Studies in Regional Economic Development

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A measure of the change in the unemployment rate over the period 2000–2002 (UNEMP_CH) was also added into the model. The variables on regional educational levels6 were intended to test the construct that regional economic growth is strengthened by higher levels of regional human capital and the working skills of local workers. The series of variables measuring the regional levels of human capital included7 the percentage of population over 25 with a bachelor’s degree in 2000 (BACH_00), the percentage of the population over 25 with a master’s degree or a professional degree in 2000 (EDUMP_00) and the percentage of population over 25 with a doctoral degree in 2000 (DOCT_00).

6 THE SPECIFIC MODELS: SEGMENTING MSAs INTO THE THREE SIZE CATEGORIES From the general model results discussed above, it seems to be apparent that there is an MSA size effect related to endogenous employment growth performance over the period 1999–2002. Thus Stough et al. (2007) considered it important to conduct further regression modeling, segmenting the MSAs into the three population size categories referred to above. Three specific models were run separately for the large-­, medium-­and small-­size MSA categories.

2005a; 2006a; 2009) exploratory study in Australia referred to earlier. It used the same set of variables relating to demographic and economic 26 Agglomeration, clusters and entrepreneurship characteristics of a region, but in this US application Stough et al. (2007) added to the set of independent or explanatory data variables a selection of variables that are surrogate measures (that is, indicators) of factors relating to regional leadership, institutions and entrepreneurship. 2. 3 Rationale for Selecting the Model Variables In spatial econometrics analysis, operationalizing a model requires researchers to choose both a dependent variable and a set of independent variables.

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