ظاهرة الفساد الاقتصادي وأثرها على النمو الاقتصادي في الدول الاسلامية: في ضوء مؤشرات منظمة الشفافية العالمية
Abstract
The study aimed to Corruption Perceptions prepared by Transparency International Agency, and to the concept of corruption in the Quran and Sunnah and the tools and mechanisms to avoid and reduce public Corruption. Also it aimed to study the reality of corruption in Islamic countries, and measuring the impact of corruption on economic growth in these countries.
To achieve the objectives of the study, the corruption perceptions index in both Islamic and developed nations has been presented and analyzed. An econometric model linking the corruption index and other independent variables to economic growth has been introduced. The model has been estimated by the ordinary least squares technique using cross sectional data of Islamic states for year 2014.
The study concluded that corruption exists in all societies with a clear contrast between the developed and the Muslim countries, and Islam has the proper mechanisms and tools that ensure the avoidance and reduction of corruption, also, the results show the existence of a statistical significant negative impact of corruption on economic growth in Muslim countries.
Also, the study provides a series of recommendations, including the need to repair the moral and value system, and operate on the principle of transparency and activate all mechanisms in Islam to protect money from legal and administrative perspective.
Keywords
economic growth
higher education
educational research
academic research
Queen Arwa University
مؤشر مدركات الفساد
النمو الاقتصادي
منظمة الشفافية الدولية
النموذج القياسي
economic corruption
corruption perception index
international transparency agency
islamic economics
scientific journal
scientific articles
academic development
scholarly publishing
yemen universities
peer-reviewed studiesالفساد الاقتصادي
Citation
ID:
279008
References
Blockchain Verification
Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
279008
Unique Identifier:
10.58963/qausrj.v1i26.162
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
Creates 1,000,000 NFT tokens for this article
Token Features:
- ERC-1155 Standard NFT
- 1 Million Supply per Article
- Transferable via MetaMask
- Permanent Blockchain Record
Scan with Saymatik Web3.0 Wallet
