Spatial Analysis of Economic Risk, Economic Freedom Index, Corruption Perceptions Index and Human Development Index; [Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi]

MakaleAçık ErişimScopus SJRQ4
  • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme

Özet

This study aims to examine the spatial (neighbourhood) relations of 163 countries in terms of economic risk (ER), economic freedom index (EFI), corruption perception index (CPI) and human development index (HDI). Moran I, Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) methods were used for spatial analysis. The MGWR models demonstrated that countries globally have strong spatial relationships with their neighbouring countries regarding ER, EFI, and CPI but are not significant regarding HDI. This result can be explained by the fact that ER, EFI and CPI indicators are mostly related to the country's economy and that countries have become economically interdependent today. However, HDI may not have resulted in significant spatial relationships due to its focus on human quality of life and social-cultural differences among countries.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/12547Resmi atıflarda kullanılan kalıcı adres
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
Scopus
0
WoS
1
OpenAlex
1
TR Dizin
1
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorKalkan, Yusuf
dc.date.accessioned2026-10-22T10:20:14.904610888Z
dc.date.available2026-10-22T10:20:14.904610888Z
dc.date.issued2024
dc.description.abstractThis study aims to examine the spatial (neighbourhood) relations of 163 countries in terms of economic risk (ER), economic freedom index (EFI), corruption perception index (CPI) and human development index (HDI). Moran I, Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) methods were used for spatial analysis. The MGWR models demonstrated that countries globally have strong spatial relationships with their neighbouring countries regarding ER, EFI, and CPI but are not significant regarding HDI. This result can be explained by the fact that ER, EFI and CPI indicators are mostly related to the country's economy and that countries have become economically interdependent today. However, HDI may not have resulted in significant spatial relationships due to its focus on human quality of life and social-cultural differences among countries.
dc.identifier.doi10.17233/sosyoekonomi.2024.03.11
dc.identifier.endpage241
dc.identifier.issn1305-5577
dc.identifier.issue61
dc.identifier.scopus2-s2.0-85201633129
dc.identifier.startpage213
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/12547
dc.identifier.volume32
dc.identifier.wosWOS:001333215300004
dc.language.isotr
dc.publisherSosyoekonomi Society
dc.relation.ispartofSosyoekonomi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCorruption Perception Index
dc.subjectEconomic Freedom Index
dc.subjectEconomic Risk
dc.subjectGeographically Weighted Regression
dc.subjectHuman Development Index
dc.subjectMultiscale Geographically Weighted Regression
dc.subjectSpatial Autocorrelation
dc.subject.classificationEconomics
dc.subject.classificationBusiness & Economics
dc.subject.otherGEOGRAPHICALLY WEIGHTED REGRESSION
dc.subject.otherSPILLOVERS
dc.titleSpatial Analysis of Economic Risk, Economic Freedom Index, Corruption Perceptions Index and Human Development Index; [Ekonomik Risk, Ekonomik Özgürlük İndeksi, Yolsuzluk Algısı İndeksi ve İnsani Gelişim İndeksi’nin Mekânsal Analizi]
dc.typeArticle
rdl.citation.openalex1
rdl.citation.scopus0
rdl.citation.trdizin1
rdl.citation.wos1
rdl.oa.statusgold
rdl.oa.urlhttps://dergipark.org.tr/tr/download/article-file/2953694
rdl.scopus.quartileQ4
rdl.sdgSDG08
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexTRDIZIN
rdl.wos.indexEmerging Sources Citation Index (ESCI)