DETECTION OF FIRMS´ CLUSTERING BY LOCAL SCALING

Ilona Berková (), Tomáš Mrkvička (), Renata Klufová () and Radim Remeš ()
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Ilona Berková: University of South Bohemia in České Budějovice, Faculty of Economics
Tomáš Mrkvička: University of South Bohemia in České Budějovice, Faculty of Economics
Renata Klufová: University of South Bohemia in České Budějovice, Faculty of Economics
Radim Remeš: University of South Bohemia in České Budějovice, Faculty of Economics

Regional Science Inquiry, 2020, vol. XII, issue 1, 115-127

Abstract: The paper analyses locations of headquarters of companies and their interactions by inhomogeneous point process, especially local scaling principles, because companies choose their locations according to the number of the local population. Relationships of the companies within economic sectors are studied using the analysis of locally scaled L function. The inhomogeneity was modelled using the local population, then the company’s size was included. Lastly the level of clustering in each sector was computed. The companies are located in three regions in the Czech Republic. It was found out that the companies tend to cluster when the population or the companies’ size is taken into account.

Keywords: Inhomogeneous point process; L-function; Global envelope test; Spatial clusters; Agglomeration (search for similar items in EconPapers)
JEL-codes: C21 L60 O18 R12 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hrs:journl:v:xii:y:2020:i:1:p:115-127

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