The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Retaining winners: Can policy boost high-growth entrepreneurship?
Open accessAbstract
We analysed the growth impact delivered by a high-growth entrepreneurship policy initiative over a six-year period. Using an eight-year panel that started two years before the initiative was launched and propensity score matching to control selection bias, we found that the initiative had more than doubled the growth rates of treated firms. The initiative had delivered a strong impact also on value-for-money basis. In addition to producing the first robust evidence on the growth impact delivered by a high-growth entrepreneurship initiative, we contribute to public sponsorship theory with the notion of capacity-boosting activities to complement previously discussed buffering and bridging activities.
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Cites
The central role of the propensity score in observational studies for causal effects
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Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme
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Cited by
Digital affordances, spatial affordances, and the genesis of entrepreneurial ecosystems
Autio, E., Nambisan, S., Thomas, L. D. W., & Wright, M. (2018) · Strategic Entrepreneurship Journal · doi:10.1002/sej.1266 · Cited by 1,738
Self-citationToward an Entrepreneurial Ecosystem Research Program
Wurth, B., Stam, E., & Spigel, B. (2022) · Entrepreneurship Theory and Practice · doi:10.1177/1042258721998948 · Cited by 789
Block, J. H., Fisch, C. O., & van Praag, M. (2017) · Industry and Innovation · doi:10.1080/13662716.2016.1216397 · Cited by 384
Moraes, G. H. S. M. D., Fischer, B., Salles-Filho, S., Meissner, D., & Dabic, M. (2023) · Journal of Knowledge Management · doi:10.1108/jkm-03-2023-0267 · Cited by 16
Metadata
- Authors
- Autio, E., & Rannikko, H.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 45
- Issue
- 1
- Pages
- 42-55
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W1890658399
- Cited by
- 293
- References
- 41
- FWCI
- 35.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.