Capacity constraints as a trigger for high growth

Alex Coad*, Clemens Domnick, Florian Flachenecker, Peter Harasztosi, Mario Lorenzo Janiri, Rozalia Pal, Mercedes Teruel*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Abstract: High-growth enterprises (HGEs) have a large economic impact but are notoriously hard to predict. Previous research has linked high-growth episodes to the configuration of lumpy indivisible resources inside firms, such that high capacity utilisation levels might stimulate future growth. We theorize that firms reaching critically high capacity utilisation levels reach a “trigger point” involving either broad-based investment in further growth or shrinking back to previous levels. We analyze EIBIS survey data (matched to ORBIS) which features a question on time-varying capacity utilisation. Overcapacity is a transitory state. Firms enter into overcapacity after a period of the rapid growth of sales and profits, and the years surrounding overcapacity have higher employment growth rates. Firms operating at overcapacity make incremental investments (e.g. capacity expansion, process improvements and modern machinery) rather than investing in R&D and new product development. We find support for the “fork in the road” hypothesis: for some firms, overcapacity is associated with launching into massive investments and subsequent sales growth, while for other firms, overcapacity is negatively related to both investments and sales growth.

Original languageEnglish
Pages (from-to)893-923
Number of pages31
JournalSmall Business Economics
Volume59
Issue number3
DOIs
Publication statusPublished - 2022 Oct

Keywords

  • Capacity utilisation
  • Firm growth
  • High-growth enterprises (HGEs)
  • Investment
  • Trigger points

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics

Fingerprint

Dive into the research topics of 'Capacity constraints as a trigger for high growth'. Together they form a unique fingerprint.

Cite this