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        EIB Working Paper 2021/08 - Do capacity constraints trigger high growth for enterprises?

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        Author(s)
        European Investment Bank
        Collection
        Knowledge Unlatched (KU); KU Open Services
        Language
        English
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        Abstract
        High-Growth Enterprises have a large economic impact, but it is notoriously hard to predict when firms will experience episodes of high growth. This paper proposes 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. It analyses EIBIS survey data (matched to the ORBIS database) which features a question on time-varying capacity utilisation. Overcapacity is a transitory state. Firms enter into overcapacity after a period of 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. The analysis finds 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.
        URI
        https://library.oapen.org/handle/20.500.12657/51522
        Keywords
        Business & Economics; Free Enterprise & Capitalism
        DOI
        https://doi.org/10.2867/20387
        ISBN
        9789286150500, 9789286150500
        Publisher
        European Investment Bank
        Publisher website
        https://www.eib.org/en/publications/index.htm
        Publication date and place
        2021
        Grantor
        • Knowledge Unlatched
        Imprint
        European Investment Bank
        Classification
        Economics
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Harvested from KU

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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