Analysis of Corruption and Its Determinants by Hierarchical Clustering in OECD Countries

被引：0

作者：

Eroglu, Abdulkerim ^{[1
]}

Ozen, Ahmet ^{[2
]}

机构：

[1] Recep Tayyip Erdogan Univ, Rize, Turkiye

[2] Dokuz Eylul Univ, Izmir, Turkiye

来源：

SOSYOEKONOMI | 2023年 / 31卷 / 57期

关键词：

Corruption; Cluster Analysis; OECD Countries; GOVERNMENT; COMPETITION; POLITICS; ECONOMY; WAGES;

D O I：

10.17233/sosyoekonomi.2023.03.16

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Corruption is a pervasive challenge that negatively impacts various political, economic, and financial indicators. Addressing corruption necessitates a comprehensive and sustained effort towards corruption control to enhance the effectiveness of such indicators. This study aims to investigate the clustering of OECD countries based on socioeconomic factors and corruption. Specifically, hierarchical clustering using the Ward Minimum Variance method was conducted on selected corruption-related variables for 2014-2020. The findings reveal the division of OECD countries into two primary clusters, with similarities identified among certain countries. Convergent countries share common political, economic, and financial experiences.

引用

页码：331 / 356

页数：26

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