Determinants of growth of small high-tech companies in transition economies

Nataliya Kravchenko, Anton Goryushkin, Anastasiya Ivanova, Sofia Khalimova, Svetlana Kuznetsova, Almira Yusupova

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

High-technology business acts as an important driver of any economy. Microeconomic factors influencing employment in small high-technology companies are identified and assessed in the paper. The case of high-technology manufacturing and knowledge-intensive services in Russian transition economy is discussed. The empirical part of this research is based on data provided by Business Environment and Enterprise Performance Survey (BEEPS). A two-step assessment procedure was applied in order to determine and estimate the factors of growth. Significant factors were selected with the help of best subsets regression and then these factors were further analyzed using OLS. Such an approach enables an increased explanatory power of the obtained results. It was found that younger companies have greater influence on job creation than older ones. Significant differences in growth factors between companies in high-technology manufacturing and knowledge-intensive services were demonstrated. This difference constitutes a new result in the research of growth of high-technology companies in transition economies. The suggested model could help to construct the companies' rating, which would be useful for investors in the emerging markets with high volatility of assets' prices and lack of information for investment analysis.

Original languageEnglish
Pages (from-to)399-412
Number of pages14
JournalModel Assisted Statistics and Applications
Volume12
Issue number4
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • best subsets approach JEL Classification Codes: C10
  • determinants of growth
  • High-technology firms
  • multiple regression
  • O14
  • O30
  • Russia

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