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The Likelihood of Becoming and Remaining Unemployed in Great Britain, 1984

Bibliographic Data

ID8963386
AuthorsA E Green, Anne Green (0000-0003-1583-4967, corresponding author)
Year1986
Volume11
Issue1
Pages37-37
Publication date1986-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueTransactions of the Institute of British Geographers (JOURNAL)
Journal identifiersISSN: 0020-2754 • E-ISSN: 1475-5661
PublisherWiley (PUBLISHER • GB)
DOI10.2307/622069
OpenAlexW2090124563
LanguageEN
Citations received6

There has been much discussion recently of unemployment as a dynamic phenomenon; with substantial flows on and off the unemployment register taking place within the context of a relatively stable level of unemployment at the national level. Policy makers, however, have tended to ignore flows, concentrating instead on local variations in unemployment rates; thus disregarding the fact that areas with similar unemployment rates may have different types of unemployment problem. Using Department of Employment data on unemployment flows for 1984, this paper investigates spatial variations in the likelihood of becoming unemployed and remaining unemployed amongst local labour market areas (LLMAs) in Great Britain. Cluster analysis is used to identify LLMAs with similar on-flow and off-flow experiences and thus to establish the major patterns of inter-relationship between on-flow and off-flow rates across the country. To aid interpretation of geographical patterns of cluster membership, the cluster members are cross-tabulated by three classifications from the CURDS Functional Regionalization of Britain, which define different dimensions of the spatial structure of the British urban and regional system. This analysis uncovers substantial geographical variations in the nature of the unemployment problem. The paper concludes with a discussion of the policy implications of such spatial variations

Demographic economics · Economic growth · Economics · Labour economics · Sociology · Unemployment · Demography · Employment and Welfare Studies · Medicine · Regional Economics and Spatial Analysis · Regional resilience and development · Gerontology

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Unique citing works6
Citations per year0,16
Citation span1988 - 1999 (12)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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