How Regions React to Recessions: Resilience and the Role of Economic Structure
By Ron Martin, P. Sunley, B. Gardiner, Peter Tyler. 2016
723 citations recorded by the source corpus.
Martin R., Sunley P., Gardiner B. and Tyler P. How regions react to recessions: resilience and the role of economic structure, Regional Studies. This paper examines how employment in the major UK regions has reacted to the four major recessions of the last 40 years, namely 1974–76, 1979–83, 1990–93 and 2008–10. The notions of resistance and recoverability are used to examine these reactions. The analysis reveals both continuities and significant changes in the regional impact of recession from one economic cycle to the next. Further, while economic structure is found to have exerted some influence on the resistance and recoverability of certain regions, in general ‘region-specific’ or ‘competitiveness’ effects appear to have played an equally, if not more, significant role.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/a7d9dae135be8faa2ce61fe5ed057ff5d7b73439
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In Economics and Econometrics
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- Vicente Rios
- Roberto Ezcurra
- Bernard Fingleton
- Zanxin Wang
- Wei Wei
- Luc Anselin
- M. Gómez-Antonio
In Political Science and International Relations
Citations in the corpus
- Regional economic resilience in China: measurement and determinants (2021, background): “Despite its potential in different disciplines, resilience is hard to define, as the concept can refer to different features and there is no well-defined methodology with which to study it (Martin & Sunley, 2015; Martin et al., 2016).”
- Quality of government and regional resilience in the European Union. Evidence from the Great Recession (2019, background): “The sectoral composition is often considered as a key factor in explaining why regions differ in their resilience to economic downturns such as the Great Recession (e.g. Brackman et al., 2015; Martin et al., 2016).”
- US Metropolitan Area Resilience: Insights from dynamic spatial panel estimation (2017, methodology): “The Lilieni,t index measures shifts in industrial employment over a given time period (Goschin et al., 2009; Martin et al., 2016).”