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Cited by 503

The DOI matches its Crossref record; 175 of the 175 references it cites were found in a registry or an index.

Entrepreneurship and the process of firms' entry, survival and growth

Santarelli, E., Vivarelli, M.·2007·Industrial and Corporate Change

Abstract

This survey article aims at critically discussing the recent literature on firm formation and survival and the growth of new-born firms. The basic purpose is to single out the microeconomic entrepreneurial foundations of industrial dynamics (entry and exit) and to characterise the founder's ex - ante features in terms of likely ex-post business performance. The main conclusion is that entry of new firms is heterogeneous with innovative entrepreneurs being found together with passive followers, over-optimist gamblers and even escapees from unemployment. Since founders are heterogeneous and may make “entry mistakes, ” policy incentives should be highly selective, favouring nascent entrepreneurs endowed with progressive motivation and promising predictors of better business performance. This would lead to the least distortion in the post-entry market selection of efficient entrepreneurs. Copyright 2007 , Oxford University Press.

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Metadata

Authors
Santarelli, E., & Vivarelli, M.
Venue
Industrial and Corporate Change
Published
2007-05-26
Volume
16
Issue
3
Pages
455-488
ISSN
  • 0960-6491 (ISSN-L)
  • 1464-3650
OpenAlex
W2087526386
Cited by
503
References
175
FWCI
50.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entrepreneurship and the process of firms' entry, survival and growth. https://app.cochat.ai/papers/10.1093/icc/dtm010
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Santarelli, E., & Vivarelli, M. (2007). Entrepreneurship and the process of firms' entry, survival and growth. Industrial and Corporate Change. https://doi.org/10.1093/icc/dtm010

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.