Towards a quantitative model for managing the risk of corruption

The risk of corruption is defined as the possibility of individuals, institutions and countries being exposed to bribery, embezzlement, nepotism or theft of state funds, which leads to financial losses. Many studies of corruption indicate that the danger is related to the human condition, Unemployment - inflation) that push individuals and societies to risk the risk of corruption, with undesirable consequences that lead to economic damage, social damage and political damage. Despite the interest of many researchers - in different areas - the subject of studying corruption, but they were not exposed to a risk under the theory of danger and insurance, and many countries take the human and legal means to address the dangers of corruption, but these means affect the risk factors only without affecting the The research aims to develop a scientific strategy to manage the risk of corruption through the scientific rooting of the risk and identify the causes, classification and measurement and access to a proposed risk management program, using some quantitative models of global analysis and analysis of differentiation. Develop a comprehensive and specific knowledge of the risk of corruption and develop a proposed risk management program through two methods: impact on risk factors to reduce risk factors, and means that affect loss, such as compensatory means, by creating specialized insurance companies that cover the risk of corruption or special funds , Or insurance pools, or the State's intervention as reinsurers to cover the excess part of insurance companies. The study also found that there are statistically significant differences in the classification of perceptions of the risk of corruption in some countries in the research sample (Italy, Argentina, Poland and Chile).