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Persistence, survival, and growth: a closer look at 20 years of fast-growing firms in Austria

机译:持久性,生存性和增长性:仔细研究奥地利快速发展的公司20年

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摘要

This article studies the survival, persistence, and growth of fast-growing firms after their fast-growth period, using an extensive data set of Austrian firms. We use two definitions to identify fast-growing firms. High-growth firms (HGF) are firms with the highest growth rates, while high-Birch firms (HBF) are the firms that contribute most to job creation. Matching as nonparametric preprocessing is used to construct control groups consisting of firms that were similar in terms of size, age, and industry affiliation to the fast-growing firms. We run survival, persistence, and growth regressions on the balanced data sets. The results point to differences between the two definitions but also show similarities in outcomes. We find that HBFs have a substantially larger probability of repeating their fast-growth event than HGFs. For survival we find small differences between the definitions. With regard to firm growth, we find that growth after the high-growth period is rather modest for both definitions when compared with the growth rates achieved during the fast-growth episode. However, both HBFs and HGFs have much higher growth rates than control firms.
机译:本文使用大量的奥地利公司数据研究了快速发展公司在快速增长期之后的生存,持久性和增长。我们使用两个定义来识别快速成长的公司。高增长公司(HGF)是增长率最高的公司,而高桦木公司(HBF)是对创造就业机会贡献最大的公司。匹配作为非参数预处理用于构建控制组,该控制组由规模,年龄和行业从属关系与快速增长的公司相似的公司组成。我们在平衡的数据集上运行生存,持久性和增长回归。结果指出了两个定义之间的差异,但也显示了结果的相似性。我们发现,与HGF相比,HBF重复其快速增长事件的可能性要大得多。为了生存,我们发现定义之间的微小差异。关于公司的增长,我们发现,与快速增长时期实现的增长率相比,这两个定义在高增长时期之后的增长都相当适度。但是,HBF和HGF的增长率都远高于控股公司。

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