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Targeting for Growth: A Critical Examination

Authors: David Smallbone; Claire Massey;

Targeting for Growth: A Critical Examination

Abstract

The targeting debate has been around for more than 20 years, and yet we are still discussing how best to identify high-growth SMEs. Following a discussion of targeting issues and a review of some of the key literature on SME growth, the paper focuses on an empirical analysis of the performance of a panel of SMEs in New Zealand over a three-year period. The results show that, even when growth occurs in SMEs, it is typically discontinuous. In addition, most of the easily verifiable profile characteristics that are often used for targeting, such as size, sector, age, whether or not the firm is exporting and/or innovating, did not consistently distinguish growth firms from others. Possible conclusions are that policy makers need more effective long-term assessment of government programmes and/or that the heterogeneity of those enterprises able to achieve growth points towards the principle of self-selection. However, the authors suggest a more radical response based on investing more in education and training and aiming to make more explicit the implications of actions and non-actions by entrepreneurs with regard to growth.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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