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dc.contributor.authorKosfeld, Reinholden_US
dc.contributor.authorEckey, Hans-Friedrichen_US
dc.contributor.authorLauridsen, Jørgenen_US
dc.date.accessioned2009-08-26en_US
dc.date.accessioned2010-03-05T15:43:43Z-
dc.date.available2010-03-05T15:43:43Z-
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/10419/30145-
dc.description.abstractTraditional measures of spatial industry concentration are restricted to given areal units. They do not make allowance for the fact that concentration may be differently pronounced at various geographical levels. Methods of spatial point pattern analysis allow to measure industry concentration at a continuum of spatial scales. While common distance based methods are well applicable for sub-national study areas, they become inefficient in measuring concentration at various levels within industrial countries. This particularly applies in testing for conditional concentration where overall manufacturing is used as a reference population. Using Ripley’s K function approach to second-order analysis, we propose a subsample similarity test as a feasible testing approach for establishing conditional clustering or dispersion at different spatial scales. For measuring the extent of clustering and dispersion, we introduce a concentration index of the style of Besag’s (1977) L function. By contrast to Besag’s L function, the new index can be employed to measure deviations of observed from general spatial point patterns. The K function approach is illustratively applied to measuring and testing industry concentration in Germany.en_US
dc.language.isoengen_US
dc.publisherUniv., Dep. of Business Administration & Economics Marburgen_US
dc.relation.ispartofseriesJoint discussion paper series in economics 2009,16en_US
dc.subject.jelC46en_US
dc.subject.jelL60en_US
dc.subject.jelL70en_US
dc.subject.jelR12en_US
dc.subject.ddc330en_US
dc.subject.keywordSpatial concentrationen_US
dc.subject.keywordclusteringen_US
dc.subject.keyworddispersionen_US
dc.subject.keywordspatial point pattern analysisen_US
dc.subject.keywordK functionen_US
dc.titleSpatial point pattern analysis and industry concentrationen_US
dc.typeWorking Paperen_US
dc.identifier.ppn60393305Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:MAGKS Joint Discussion Paper Series in Economics, Universität Marburg

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