Gelişmiş Arama

Basit öğe kaydını göster

dc.contributor.authorMert Kantar, Yeliz
dc.contributor.authorGünay, Aktaş, S.
dc.date.accessioned2019-10-20T09:31:45Z
dc.date.available2019-10-20T09:31:45Z
dc.date.issued2015
dc.identifier.isbn9780986041945
dc.identifier.urihttps://hdl.handle.net/11421/17778
dc.description25th International Business Information Management Association Conference - Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2015 -- 7 May 2015 through 8 May 2015 -- -- 114272en_US
dc.description.abstractThe objective of the study is to investigate the spatial pattern of unemployment rate with socio economic development index (SDI) and literacy rate for 81 cities of Turkey and also the spatial correlation between these variables. To observe spatial pattern of the considered variables, we firstly utilize mapping analysis. Then, statistic of spatial autocorrelation, known as Moran's I, is employed. It was found that while there is a positive and significant global Moran's I value for unemployment rate with SDI, the negative Moran's I is observed between unemployment rate and literacy rate. Results of mapping and spatial correlation analysis show that there is spatial clustering of unemployment rate, literacy rate and SDI of 81 cities of Turkey. Moreover, we consider classical linear and spatial regression analysis to model unemployment rate. It was found that the spatial error model is the best for modeling unemployment rate.en_US
dc.language.isoengen_US
dc.publisherInternational Business Information Management Association, IBIMAen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMapping Analysisen_US
dc.subjectRegional Unemploymenten_US
dc.subjectSpatial Correlationen_US
dc.subjectSpatial Econometricsen_US
dc.titleSpatial analysis of unemployment rate with literacy rate and socioeconomic development index for cities of Turkeyen_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings of the 25th International Business Information Management Association Conference - Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2015en_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.startpage394en_US
dc.identifier.endpage401en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


Bu öğenin dosyaları:

DosyalarBoyutBiçimGöster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster