Incentive contract design of construction engineering time based on the principal-agent model

Author(s):  
L Yan ◽  
X Tang
2020 ◽  
Vol 32 (4) ◽  
pp. 461-484
Author(s):  
Antoine Dubus

We consider a principal-agent model with moral-hazard and asymmetric awareness and show how the heterogeneity of agents on their aversion to effort affects contract design. We discuss the optimal contract adopted when a principal is aware of all the impacts of an agent’s action, while agents ignore some of them. When a principal faces two types of agents, where one type is more effort-averse than the other, the equilibrium contract is shaped by agent proportions: it pools the agents, separates them, or excludes the more effort-averse agents from the contract. When efforts are observable, all the agents remain unaware, while when efforts are hidden, a principal increases the awareness of the agents to a level commensurate with the nature of the contract. JEL Codes – D82; D83; D86


2019 ◽  
Vol 8 (2) ◽  
pp. 20
Author(s):  
Xiaoxu Chen ◽  
Peng Xu ◽  
Guoqiang Yang

Online agricultural supply chain finance, as an effective way to solve the financing difficulties of small and medium-sized agricultural enterprises in the chain, has made rapid progress in recent years, and the cooperation between banks and e-commerce has become the mainstream mode. Taking the electronic order pledge of agricultural products as an example, this paper discusses the incentive contract design between banks and B2B platform from the perspective of moral hazard prevention and the use of principal-agent theory. In this paper, the principal-agent model is constructed by considering the bank's effort and no effort, and then give the optimal incentive coefficient and fixed return. The results show that banks’ effort will increase the level of efforts of B2B platform, but also increase their own variable payment; under the given conditions, the bank’s effort will increase its income, and at a certain level of effort, the largest increase in revenue, In addition, improving the application level of B2B data processing technology and the degree of data pledge development will contribute to the increase of incentive coefficient and revenue.


1990 ◽  
Vol 100 (403) ◽  
pp. 1109 ◽  
Author(s):  
Michael Suk-Young Chwe

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