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Modeling Public–Private Partnerships in Disaster Management via Centralized and Decentralized Models
Author(s) -
Peiqiu Guan,
Jun Zhuang
Publication year - 2015
Publication title -
decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.527
H-Index - 22
eISSN - 1545-8504
pISSN - 1545-8490
DOI - 10.1287/deca.2015.0319
Subject(s) - private sector , incentive , business , public–private partnership , preparedness , construct (python library) , public sector , valuation (finance) , general partnership , economics , public economics , finance , environmental economics , microeconomics , computer science , economic growth , economy , management , programming language
The objective of this paper is to help both public and private sectors make better decisions in defensive resource allocation through public and private partnerships PPPs. In this paper, efficient PPPs are studied with regard to disaster preparedness using a decentralized model sequential game where the public sector is the first mover and a centralized model. This paper identifies the best public investment policies by evaluating the effectiveness of incentive provisions based on the various private strategic responses. This paper also provides insights into understanding a how to construct optimal public and private partnerships and b whether, when, and to what extent public and private investments in disaster preparedness could form better PPPs. We study the conditions of the private and public sectors' allocation strategies when they are strategic complements or substitutes. We find that the private sector that has a higher target valuation or lives in more risky areas invests more and has higher potential to partner with the public sector. We also compare the decentralized model results with the results of the centralized model to study the efficiency of the PPPs and find that the results are similar when the target valuation or the probability of disasters is small.

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