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Cited by 802

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Entrepreneurship, Economic Growth and Public Policy

Acs, Zoltan J., Szerb, Laszlo·2007·Small Business Economics

Abstract

This paper is an introduction to the second Global Entrepreneurship Research Conference. The conference focused on developing a better understanding of the relationships among entrepreneurship, economic growth and public policy, and variations according to the stage of economic development. The papers in this special issue conduct analysis with GEM micro-and-macro data, and offer several important policy recommendations. First, middle-income countries should focus on increasing human capital, upgrading technology availability and promoting enterprise development. It is important to start enterprise development policies early because the main drivers are perceptual variables that are difficult to change in the short run. Second, for developed economies, reducing entry regulations, in most cases, will not result in more high-potential startups. Both labor market reform and deregulation of financial markets may be needed to support growth of high-performance ventures.

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Metadata

Authors
Acs, Z. J., & Szerb, L.
Venue
Small Business Economics
Published
2006-11-23
Volume
28
Issue
2-3
Pages
109-122
ISSN
  • 0921-898X (ISSN-L)
  • 1573-0913
OpenAlex
W2059383461
Cited by
802
References
36
FWCI
23.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entrepreneurship, Economic Growth and Public Policy. https://app.cochat.ai/papers/10.1007/s11187-006-9012-3
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Acs, Z. J., & Szerb, L. (2007). Entrepreneurship, Economic Growth and Public Policy. Small Business Economics. https://doi.org/10.1007/s11187-006-9012-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.