Does a U-shaped relationship exist between performance and size threshold?: The evidence from Taiwan biotech industry
Shiu-Wan Hung,
Chiao-Ming Li and
Ming-Yi Shen
Technology in Society, 2019, vol. 58, issue C
Abstract:
The aim of this paper is to analyze different size threshold structures of firm productivity on business performance by employing a panel of 40 Taiwanese biotech industry firms over the period 2008–2017. Whereas size expansion and performance have an inverted U-shaped relationship, the results show that size expansion is negative for business performance. We find that the productivity of individual firms has different effects, in which we observe that most small-size firms and large-size firms between heterogeneity of the impact of the performance, productivity and innovation and show that large-size firms' productivity and innovation capability are lower than those of small-size firms. For management policy, we recommend that large-size firms strengthen their management of productivity and innovation capabilities and actively improve the performance of productive forces and enhance the contribution of innovation.
Keywords: Size threshold; Inverted U-Shaped relationship; Productivity; Innovation; Management policy; Non-linear model (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X18300289
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:58:y:2019:i:c:s0160791x18300289
DOI: 10.1016/j.techsoc.2019.101147
Access Statistics for this article
Technology in Society is currently edited by Charla Griffy-Brown
More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().