TY - JOUR
T1 - Shared Skills
T2 - Occupation Clusters for Poverty Alleviation and Economic Development in the US
AU - Chrisinger, Colleen K.
AU - Fowler, Christopher S.
AU - Kleit, Rachel Garshick
N1 - Funding Information:
This research was funded by the Northwest Area Foundation. Partial support for this research came from a Eunice Kennedy Shriver National Institute of Child Health and Human Development research infrastructure grant, 5R24HD042828, to the Center for Studies in Demography and Ecology at the University of Washington.
PY - 2012/11
Y1 - 2012/11
N2 - Economic development scholars and practitioners increasingly recognise the importance of both industry and occupational composition as sources of regional strength and specialisation. At the same time, occupational cluster analysis has paid insufficient attention to a main potential constituency of economic development: people in or near poverty. This article addresses this gap by developing 25 occupation clusters using a wide range of attributes, including skills and work styles, available from US Occupational Information Network (O*NET) data. The resulting clusters include many lower-wage occupations and illustrate possible career paths within clusters and across industries, based on similar interests and abilities, among other factors. These occupation clusters can be used to define the labour pools in US regions. Two of these clusters are used to demonstrate the concept that economic development centred on existing labour assets in a particular city or region may lead to stronger growth as well as reduced poverty.
AB - Economic development scholars and practitioners increasingly recognise the importance of both industry and occupational composition as sources of regional strength and specialisation. At the same time, occupational cluster analysis has paid insufficient attention to a main potential constituency of economic development: people in or near poverty. This article addresses this gap by developing 25 occupation clusters using a wide range of attributes, including skills and work styles, available from US Occupational Information Network (O*NET) data. The resulting clusters include many lower-wage occupations and illustrate possible career paths within clusters and across industries, based on similar interests and abilities, among other factors. These occupation clusters can be used to define the labour pools in US regions. Two of these clusters are used to demonstrate the concept that economic development centred on existing labour assets in a particular city or region may lead to stronger growth as well as reduced poverty.
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U2 - 10.1177/0042098011433489
DO - 10.1177/0042098011433489
M3 - Article
AN - SCOPUS:84867680601
SN - 0042-0980
VL - 49
SP - 3403
EP - 3425
JO - Urban Studies
JF - Urban Studies
IS - 15
ER -