The resilient regional labour market? The US case
Datos Bibliográficos
| ID | 12913745 |
|---|---|
| Autores | Kristina Chapple (0000-0001-5045-3524, University of California, Berkeley), T William Lester (0000-0003-2132-8665, University of California, Berkeley) |
| Año | 2010 |
| Volumen | 3 |
| Número | 1 |
| Páginas | 85-104 |
| Fecha de publicación | 2010-01-27 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Cambridge Journal of Regions Economy and Society (JOURNAL) |
| Identificadores de la revista | ISSN: 1752-1386 • E-ISSN: 1752-1378 |
| Editorial | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/cjres/rsp031 |
| OpenAlex | W2111735034 |
| Idioma | EN |
| Citas recibidas | 45 |
| Referencias citadas | 9 |
This article examines the ability of regional labour markets to rebound by growing the middle class or increasing wages. Using data on US metros, we identify regions that are transformative in terms of achieving a new equilibrium or reversing their path dependency. We then use discriminant analysis to identify the factors behind this resiliency. Regional resilience is rare, and changing a region's path is easier than achieving a new equilibrium. Among the most important factors behind regional transformation are the ability to attract immigrants, retain manufacturing, and innovate a high-tech economy. The diversity of outcomes suggests that a simple strong versus weak market dichotomy is insufficient to characterize regional resiliency, and a wide array of policies will be necessary. Copyright 2009, Oxford University Press
Business · Diversity (politics · Economic geography · Economic system · Economics · Labour economics · Microeconomics · Path dependence · Path dependency · Political science · Psychological resilience · Resilience (materials science · Sociology · Transformative learning · Regional Development and Policy · Regional Economics and Spatial Analysis · Regional resilience and development
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| Obras citantes distintas | 45 |
|---|---|
| Citas por año | 2,81 |
| Intervalo de citas | 2010 - 2026 (17) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 45 |