Title: Learning regions in an evolutionary context: policymaking for high technology firms

Authors: Marina Van Geenhuizen, Peter Nijkamp

Addresses: Faculty of Technology, Policy and Management, Section System Innovation and Regional Development, Delft University of Technology, PO Box 5015, 2600 GA Delft, The Netherlands. ' Faculty of Economics and Business Administration, Free University, de Boelelaan 1105, 1081HV Amsterdam, The Netherlands

Abstract: We address learning capability in regions or countries with regard to enhancing high-technology economic activity. We adopt an evolutionary perspective, enabling a focus on uncertainty stemming from a complex system and a dynamic multi-actor situation, and to deal with path dependency. First, we discuss public policy making by taking governments as learning organisations in the design and implementation of policies for knowledge-based economic growth. Secondly, we consider needs of small high-technology firms and implications of these for regional knowledge policies. Thirdly, we analyse a particular policy to enhance knowledge-based economic growth in the Netherlands, i.e. concerning biotechnology start-ups, and consider this policy critically from an evolutionary perspective. It appears that after a few years various learning strategies have been adopted, but that others still need to be undertaken. The paper concludes with a discussion on what additional insights can be achieved in policy analysis by using an evolutionary view.

Keywords: biotechnology; evolutionary perspectives; high-technology start-ups; learning regions; policy making; The Netherlands; high-tech; learning organisations; public policy; knowledge-based economic growth; small firms; SMEs; learning strategies; organisational learning.

DOI: 10.1504/IJEIM.2006.009879

International Journal of Entrepreneurship and Innovation Management, 2006 Vol.6 No.3, pp.265 - 282

Published online: 21 May 2006 *

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