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Using county typologies to inform job tax credit policy in Georgia

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dc.contributor.author Lipscomb C.
dc.contributor.author Kashbrasiev R.
dc.date.accessioned 2018-09-18T20:32:27Z
dc.date.available 2018-09-18T20:32:27Z
dc.date.issued 2008
dc.identifier.issn 0048-749X
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/140945
dc.description.abstract Some problems with the Georgia job tax credit program have been outlined as have some potential remedies. In this paper, we analyze Georgia's job tax credit policy through a county typology lens. County typologies are created using factor analysis of the most recently available demographic, socioeconomic, amenity, industrial, and fiscal data to endogenously locate different aggregations of Georgia counties. Then, we visually inspect the different county aggregations for clusters of counties. Finally, we illustrate the utility of these county types to recommend policy changes in the State's policy on job tax credit tiers. © Southern Regional Science Association 2010.
dc.relation.ispartofseries Review of Regional Studies
dc.subject Aggregation
dc.subject Factor analysis
dc.subject Job tax credit
dc.title Using county typologies to inform job tax credit policy in Georgia
dc.type Article
dc.relation.ispartofseries-issue 2
dc.relation.ispartofseries-volume 38
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 233
dc.source.id SCOPUS0048749X-2008-38-2-SID77953773947


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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