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dc.contributor.authorPietrzak, Michał B.en
dc.contributor.authorWilk, Justynaen
dc.contributor.authorBivand, Roger S.en
dc.contributor.authorKossowski, Tomaszen
dc.date.accessioned2015-04-28T13:06:13Z
dc.date.available2015-04-28T13:06:13Z
dc.date.issued2014-12-30en
dc.identifier.issn1508-2008en
dc.identifier.urihttp://hdl.handle.net/11089/8427
dc.description.abstractFirstly, we identify classes of regions presenting different economic development levels using taxonomic methods of multivariate data analysis. Secondly, we apply a join-count test to examine spatial dependencies between regions. It examines the tendency to form the spatial clusters. The global test indicates general spatial interactions between regions, while local tests give detailed results separately for each region. The global test detects spatial clustering of economically poor regions but is statistically insignificant as regards well-developed regions. Thus, the local tests are also applied. They indicate the occurrence of five spatial clusters and three outliers in Poland. There are three clusters of wealth. Their development is based on a diffusion impact of regional economic centres. The areas of eastern and north western Poland include clusters of poverty. The first one is impeded by the presense of three indiviual growth centres, while the second one is out of range of diffusion influence of bigger agglomerations.en
dc.publisherWydawnictwo Uniwersytetu Łódzkiegoen
dc.relation.ispartofseriesComparative Economic Research;17en
dc.rightsThis work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectjoin-count testen
dc.subjectspatial dependenceen
dc.subjectlocal indicators of spatial association (LISA)en
dc.subjectexploratory spatial data analysis (ESDA)en
dc.subjecteconomic developmenten
dc.subjecttaxonomic analysisen
dc.titleThe Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Developmenten
dc.page.number203-220en
dc.contributor.authorAffiliationNicolaus Copernicus University, Faculty of Economic Sciences and Management, Department of Econometrics and Statistics.en
dc.contributor.authorAffiliationWrocław University of Economics, Faculty of Economics, Management and Tourism, Department of Econometrics and Computer Science.en
dc.contributor.authorAffiliationNorwegian School of Economics (NHH), Department of Economics and Adam Mickiewicz University, Institute of Socio-Economic Geography and Spatial Management, Department of Spatial Econometrics.en
dc.contributor.authorAffiliationAdam Mickiewicz University, Institute of Socio-Economic Geography and Spatial Management, Department of Spatial Econometrics.en
dc.identifier.eissn2082-6737
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dc.identifier.doi10.2478/cer-2014-0041en


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