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Developing a framework for network and cluster identification for use in economic development policy-making
Journal article   Peer reviewed

Developing a framework for network and cluster identification for use in economic development policy-making

D. Pickernell, P.A. Rowe, M.J. Christie and D. Brooksbank
Entrepreneurship & Regional Development, Vol.19(4), pp.339-358
2007
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Abstract

Drawing on extensive academic research concerning clusters and networks, this paper seeks to create a framework capable of reviewing and monitoring different aspects of clusters and networks on an ongoing basis. The nine-element framework allows evaluation of the structures and processes for the eight basic cluster types identified from the literature. The use of this framework as a complimentary tool to the Multi-sectoral Qualitative Analysis (MSQA) methodology is then demonstrated using three examples (the construction, hardwood timber and higher education sectors). The data was gathered from three sets of key stakeholders (government, institutions and industry) provided from a recent study funded by the Welsh Assembly Government's Small Grants Research Programme. These cases illustrate the use of the framework in helping to generate the initial information necessary for subsequent cluster development policy (within overall regional economic development) by government to occur. The framework provides tools for reviewing and monitoring individual sectors. Information captured within the framework can also help in ameliorating problems in sectors likely to decline further. The need for further development research is also identified. Specifically at the level of the firm and network, there is a need to generate a more detailed framework of analysis of factors that contribute to successful processes of network management, learning and innovation, from which more detailed policy could be enacted in future.

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UN Sustainable Development Goals (SDGs)

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#9 Industry, Innovation and Infrastructure

Source: InCites

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
6 Social Sciences
6.86 Human Geography
6.86.280 Agglomeration Economies
Web Of Science research areas
Business
Development Studies
ESI research areas
Economics & Business
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