Item Infomation


Title: 
Data-driven definitions of gazelle companies that rule out chance: application for Russia and Spain
Authors: 
Ivan, Savin
Maria, Novitskaya
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
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.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s40821-023-00239-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7883
Appears in Collections
OER - Kinh tế và Quản lý
ABSTRACTS VIEWS

12

FULLTEXT VIEWS

14

Files in This Item: