DocumentCode
3177693
Title
Incomplete Information Dynamic Games Analysis Between Coal Mine Owners and Local Government on the Supervision of Coal Mine Safety Production in China
Author
Chun, Yan ; Xinmin, Liu
Author_Institution
Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol. (SDUST), Qingdao, China
Volume
3
fYear
2009
fDate
25-27 Dec. 2009
Firstpage
355
Lastpage
358
Abstract
In accordance with the information asymmetry during disposal of coal mine safety production in China, we establish three incomplete information dynamic game models involving local government supervision departments and coal mine owners, and then give their subgame refined Bayesian Nash equilibrium respectively. The result shows that it can´t effectively reduce the illegal exploitation phenomenon only by punishing of illegal exploitation behavior or awarding of supervision behavior, while only by means of general encouraging to different supervision behavior during punishment of illegal exploitation behavior, can improve disposal effect and effectively prevent illegal exploitation behavior. At last, it puts forwards some advices for the reinforcement of coal mine safe production and the perfection management which made the two parties in equilibrium based on the result for the model.
Keywords
Bayes methods; game theory; local government; mining industry; occupational safety; Bayesian Nash equilibrium; China; coal mine owners; coal mine safety production; illegal exploitation behavior punishment; information asymmetry; information dynamic games analysis; local government; safety supervision; Accidents; Educational institutions; Information analysis; Law; Legal factors; Local government; Nash equilibrium; Product safety; Production; Refining; Coal Mine Safety Production; Incomplete Information Dynamic Game; Subgame Refined Bayesian Nash Equilibrium; Supervision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location
Chongqing
Print_ISBN
978-0-7695-3930-0
Electronic_ISBN
978-1-4244-5423-5
Type
conf
DOI
10.1109/IFCSTA.2009.325
Filename
5384875
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