Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain
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| Автор |
Savin, I.
Novitskaya, M. |
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| Тематика |
EMPLOYMENT
FAST-GROWING FIRM MARKOV CHAIN MONTE CARLO SME SUSTAINED JOB CREATION |
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| Описание |
The phenomenon of fast-growing companies exhibiting sustained growth and creating disproportionally many new jobs, so-called “gazelles”, has been widely analyzed in the literature. The criteria defining “gazelles”, however, lack a consensus, while it cannot be ruled out that superior performance of these companies is just good luck. We use large firm-level datasets for Russia and Spain and conduct a Monte Carlo experiment with first-order Markov chains to derive a definition of “gazelle” companies and ensure that their existence cannot be explained by chance only. Our results demonstrate that the definitions of “gazelle” companies differ between the two countries warning against using same definition for different countries. We find that the “gazelles” account for about 1–2% of the companies in our datasets and are responsible for approximately 14% of employment growth in Russia and 9% in Spain. These companies are concentrated in economic sectors like retail trade, real estate and construction. © 2023, The Author(s).
Russian Science Foundation, RSF: 19-18-00262 Ivan Savin acknowledges support from the Russian Science Foundation (RSF grant number 19-18-00262). We thank Vladimir Korzinov and Philipp Mundt for many helpful comments and suggestions on the earlier drafts of the paper. The usual disclaimer applies. |
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| Дата |
2024-04-05T16:19:19Z
2024-04-05T16:19:19Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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| Идентификатор |
Savin, I & Novitskaya, M 2023, 'Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain', Eurasian Business Review, Том. 13, № 3, стр. 507-542. https://doi.org/10.1007/s40821-023-00239-2
Savin, I., & Novitskaya, M. (2023). Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain. Eurasian Business Review, 13(3), 507-542. https://doi.org/10.1007/s40821-023-00239-2 1309-4297 Final All Open Access, Hybrid Gold, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152429357&doi=10.1007%2fs40821-023-00239-2&partnerID=40&md5=954833a4ee882ec9db7d0f5812b5dc19 https://link.springer.com/content/pdf/10.1007/s40821-023-00239-2.pdf http://elar.urfu.ru/handle/10995/130384 10.1007/s40821-023-00239-2 85152429357 000965520100001 |
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| Язык |
en
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| Связанные ресурсы |
info:eu-repo/grantAgreement/RSF//19-18-00262
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
Springer Science and Business Media Deutschland GmbH
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| Источник |
Eurasian Business Review
Eurasian Business Review |
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