Do regional self-employment rates converge in the UK? Empirical evidence using club-clustering algorithm

Saridakis, G., Mendoza, M.A., Hand C. and Muñoz Torres, R.I. 2020. Do regional self-employment rates converge in the UK? Empirical evidence using club-clustering algorithm. The Annals of Regional Science. 65, pp. 179-192. https://doi.org/10.1007/s00168-020-00979-3

TitleDo regional self-employment rates converge in the UK? Empirical evidence using club-clustering algorithm
TypeJournal article
AuthorsSaridakis, G., Mendoza, M.A., Hand C. and Muñoz Torres, R.I.
Abstract

This paper examines the dynamics of self-employment rates overall and by gender across the UK during the period 2004-2016. Specifically, using the panel convergence methodology suggested by Phillips and Sul (2007) we investigate whether self-employment rates can be characterized by a process where all regions tend to the same equilibrium (global or full convergence) or , if not, whether there is one or more clusters of regions with the same equilibrium (convergence clubs). We find that there is no global regional convergence in total and gender specific self-employment rates. However, two convergence clubs of regions with lower self-employment rates are found along with a group of non-convergent regions which have higher self-employment rates and somewhat higher rates of growth in self-employment. We also show that that gender differences in convergence patterns across UK exist.

KeywordsSelf-employment
Regional Convergence
JournalThe Annals of Regional Science
Journal citation65, pp. 179-192
ISSN0570-1864
Year2020
PublisherSpringer
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1007/s00168-020-00979-3
Web address (URL)https://link.springer.com/article/10.1007/s00168-020-00979-3
Publication dates
Published online25 Feb 2020

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