Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/30145 
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dc.contributor.authorKosfeld, Reinholden
dc.contributor.authorEckey, Hans-Friedrichen
dc.contributor.authorLauridsen, Jørgenen
dc.date.accessioned2009-08-26-
dc.date.accessioned2010-03-05T15:43:43Z-
dc.date.available2010-03-05T15:43:43Z-
dc.date.issued2009-
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
dc.language.isoengen
dc.publisher|aPhilipps-University Marburg, Faculty of Business Administration and Economics |cMarburgen
dc.relation.ispartofseries|aMAGKS Joint Discussion Paper Series in Economics |x2009,16en
dc.subject.jelC46en
dc.subject.jelL60en
dc.subject.jelL70en
dc.subject.jelR12en
dc.subject.ddc330en
dc.subject.keywordSpatial concentrationen
dc.subject.keywordclusteringen
dc.subject.keyworddispersionen
dc.subject.keywordspatial point pattern analysisen
dc.subject.keywordK functionen
dc.titleSpatial point pattern analysis and industry concentration-
dc.type|aWorking Paperen
dc.identifier.ppn60393305Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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