مجلة الأصيل للبحوث الاقتصادية والإدارية
Volume 8, Numéro 1, Pages 188-208
2024-04-30
Authors : Bahouri Nabil . Mouffok Sihem . Maouchi Imad .
Abstract : We aim through this study to show the impact of the risk of the spread of administrative corruption and its impact on GDP per capita of corruption in the country. In our study, we rely on the quantitative approach by applying a simple linear regression model to cross-sectional data that includes most countries of the world. In this research paper, we found the negative impact of administrative corruption on the per capita GDP, from cross-sectional data for the year 2021, for 166 countries. The most important thing that can be suggested through the results to give the highest priority to fighting corruption in the country, regardless of whether it is backward or advanced, noting that any attempt to raise the per capita share of the gross domestic product must take into account the fight against corruption for any mechanism pursued by the state.
Keywords: Corruption, GDP, Cross-Sectional Data, Regression Model.
بوسالم أحلام
.
عابد يوسف
.
ص 117-132.
Yahia Zeghoudi
.
pages 74-88.
Djorfi Zakaria
.
Khallout Manal
.
Hamed Noureddine
.
pages 354-367.
Hussein Khalaf Al-zarkoshi Alyaa
.
Hussein Saud Diaa
.
pages 213-230.