| The employment rate of college students in China has been decreasing since 2002. In 2011, the amount of university graduates will reach 6.6 million, which means that the situation of their employment is extremely severe. This issue has drawn the government's attention and a series of employment policies have been carried out to solve the college students' unemployment problem. Some policies do little help in relieving the intense situation and increasing the college graduate employment rate, but many of them are costly and have little effect. One major reason is that most of those policies are post-remediation. Therefore, the author of the thesis appeals to establishing an unemployment early-warning mechanism as an effective solution to reduce the unemployment rate of college students.This thesis analyzes the prerequisite of unemployment early-warning mechanism for college students from different perspectives, like the reasons, the scale and the social influence of unemployment. Furthermore, the constituent elements of unemployment early-warning mechanism which including organization operation, information sharing, risk monitoring and evaluation and decision-making response have been discussed. At last, the author establishes a framework of unemployment early-warning mechanism for college students.The author believes that the operation mode of the mechanism should be hosted by the government, jointly participated by university, enterprises and non-governmental organizations;Then analyzes the problems existing in sharing information ,insisting on principles of combinging comprehensive monitoring with dynamic monitoring, mastering the basic procedures of risk-monitoring and evaluation, as well as the training methods of early-warning mechanism , which are beneficial to know relative information on unemployment of college students in time. Finnally, this paper construes the problems existing in decision-making mechanism and gives suggestions to construct a decision-making mechanism of unemployment early-warning for college students. |