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- Title
G20 ülkelerinde yolsuzluğun belirleyicileri: Panel sıralı logit yaklaşımı.
- Authors
Yamaka, Nebiye; Abdioğlu, Zehra; Doğan, Sinem
- Abstract
Corruption has important implications for the proper implementation and success of public policies. The aim of this study is to determine the factors that affect the probability of corruption in the G20 countries. Using the panel data fix effect ordered logit model developed by Baetschmann, Staub and Winkelmann (2015), this study analyzes economic and non-economic corruption factors in the G20 countries for the period from 2002 to 2020. In this study, both the corruption perception index and the corruption index developed by Kaufmann, Kraay and Mastruzzi (2008) are used to represent corruption. According to the findings of this study, an increase in GDP per capita, foreign direct investment, labor force participation rate, rule of law, and government effectiveness significantly lead to a decrease in the probability of corruption for the G20 countries. In addition, an increase in the inflation and unemployment rate increases the probability of corruption in the G20 countries.
- Subjects
LABOR supply; GROUP of Twenty countries; FOREIGN investments; LOGISTIC regression analysis; PANEL analysis; UNEMPLOYMENT statistics
- Publication
Gazi Journal of Economics & Business, 2022, Vol 8, Issue 3, p501
- ISSN
2149-4924
- Publication type
Article
- DOI
10.30855/gjeb.2022.8.3.008