Knowledge spillovers, entrepreneurial ecosystems and the geography of high growth firms redux

Abstract

High-growth firms (HGFs) exist across most regions, yet some UK local authority districts (LADs) consistently outperform others in their prevalence. This study investigates why, focusing on knowledge spillovers and entrepreneurial ecosystems (EE) as drivers of HGF incidence. Replicating and extending Fotopoulos (2023), we analyse longitudinal data from 2009 to 2021, refining methods to address autocorrelation biases from overlapping periods. Our findings confirm persistent inter-regional differences in HGFs incidence rates, driven by robust human capital, creative industries, and business services, though evidence for knowledge spillovers remains weak, meriting further exploration. By offering longitudinal evidence from a high-quality EE context, we enrich debates on regional HGF persistence and the EE framework’s utility, informing policies aiming to foster productive entrepreneurship.

Publication DOI: https://doi.org/10.1007/s10961-025-10210-0
Divisions: College of Business and Social Sciences > Aston Business School > Centre for Personal Financial Wellbeing
College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
College of Business and Social Sciences > Aston Business School
College of Engineering & Physical Sciences
Aston University (General)
Additional Information: Copyright © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
Publication ISSN: 0892-9912
Data Access Statement: Data used in the analysis is publicly available, with the sources detailed in Table 6 in Appendix.
Last Modified: 20 May 2025 07:16
Date Deposited: 19 May 2025 10:26
Full Text Link:
Related URLs: https://link.sp ... 961-025-10210-0 (Publisher URL)
PURE Output Type: Article
Published Date: 2025-05-15
Accepted Date: 2025-04-09
Authors: Du, Jun (ORCID Profile 0000-0002-0449-4437)
Karoglou, Michail (ORCID Profile 0000-0002-6730-504X)
Ri, Anastasia (ORCID Profile 0009-0008-1563-6032)
Zhang, Lin (ORCID Profile 0000-0002-1691-5577)

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