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Institutional factors, opportunity entrepreneurship and economic growth: Panel data evidence
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This paper explores the institutional factors that encourage opportunity entrepreneurship in order to achieve higher rates of economic growth. We suggest that institutions may not have an automatic effect, as is typically assumed in growth models. Rather, a mechanism is required to serve as a conduit into the society for those institutional factors that affect productive behavior such as entrepreneurial activity. Thus, opportunity entrepreneurship is identified as one such mechanism that impacts on economic growth. Using a three-stage least-square method through unbalanced panel data with 43 countries (2004–2012), we find that informal institutions have a higher impact on opportunity entrepreneurship than formal institutions. Variables such as control of corruption, confidence in one's skills and private coverage to obtain credit promote a positive effect of opportunity entrepreneurship on economic growth in all the countries of our sample, and especially in Latin American countries as a homogeneous group. These results suggest additional elements to the theoretical discussion in terms of the importance of institutions as framework to understand determinants and effects of opportunity entrepreneurship. Regarding policy implications, the results also suggest that it could be possible to obtain economic growth encouraging the appropriate institutions in order to increase the entrepreneurship by opportunity.
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Metadata
- Authors
- Aparicio, S., Urbano, D., & Audretsch, D.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 102
- Pages
- 45-61
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2046579987
- Cited by
- 678
- References
- 125
- FWCI
- 58.89
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- COLCIENCIAS (617/2013)
- Enlaza Mundos Municipio de Medellín (Fundación ECSIM)
- Spanish Ministry of Economy & Competitiveness (ECO2013-44027-P)
- Economy & Knowledge Department—Catalan Government (2014-SGR-1626)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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.