Research on Multiprincipals Selecting Effective Agency Mode in the Student Loan System
Joint Authors
Ding, Libo
Li, Bangyi
Feng, Suling
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An effective agency mode is the key to solve incentive problems in Chinese student loan system.
Principal-agent frameworks are considered in which two principals share one common agent that is performing one single task but each prefers the different aspect of the task.
Three models are built and decision mechanisms are given.
The studies show that the three modes have different effects.
Exclusive dealing mode is not good for long-term effect because sometimes it guides agent ignoring repayment.
If effort proportionality coefficient and observability are both unchanged, principals all prefer common agency, but independent contracting mode may be more efficient in reality because not only the total outputs under that mode are larger than those under cooperation one, but also preferring independent contracting mode can stimulate the bank participating in the game.
American Psychological Association (APA)
Ding, Libo& Li, Bangyi& Feng, Suling. 2014. Research on Multiprincipals Selecting Effective Agency Mode in the Student Loan System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-501903
Modern Language Association (MLA)
Ding, Libo…[et al.]. Research on Multiprincipals Selecting Effective Agency Mode in the Student Loan System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-501903
American Medical Association (AMA)
Ding, Libo& Li, Bangyi& Feng, Suling. Research on Multiprincipals Selecting Effective Agency Mode in the Student Loan System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-501903
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501903