Glass, A. orcid.org/0000-0002-5984-7666 and Kenjegalieva, K. (2026) The Great British productivity puzzle and regional industries: a dynamic multilevel spatial frontier analysis. Journal of Regional Science. ISSN: 0022-4146
Abstract
Using two approaches, we contribute to sub-national economic performance measurement by netting out the in uence of a region s performance on its industries. The rst approach measures performance using technical e¢ ciency and involves introducing the rst multilevel spatial stochastic frontier model. The second involves using the results from the rst approach to introduce a dynamic multilevel spatial TFP growth decomposition. Using panel data, we apply the approaches to a production frontier for the eight industries nested in Great Britain s NUTS3 regions (2004 20). The motivation is the well-known UK productivity puzzle, which concerns a lack of de nitive reasons why its post-2008 productivity slowdown has been noticeably bigger than comparator countries. One suggested contributing factor are the regional economic performance di¤erences within the country, where both our approaches provide clearer evidence on this by reporting estimates of net regional industry economic performance. For three of the eight industries (Construction; Distribution, hotels and restaurants; Other services), we observe negative mean own and spillover TFP growth, which is consistent with the country s productivity slowdown and its economy being service oriented.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Author(s). Journal of Regional Science published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Regional industries; Regional economic performance; Stochastic frontier analysis; Spillovers; UK productivity puzzle |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
| Date Deposited: | 17 Jun 2026 15:40 |
| Last Modified: | 07 Jul 2026 14:58 |
| Status: | Published online |
| Publisher: | Wiley |
| Refereed: | Yes |
| Identification Number: | 10.1111/jors.70077 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:242032 |

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