The Optimal PPP Model of Emergency Rescue Service

Based on the analysis of the shortage of emergency rescue services and the supervision of public-private-partnership (PPP) projects, this paper explores the rent-seeking game predicament and establishes a three-player rent-seeking game model among government regulators, private enterprises, and gove...

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Main Authors: Guangxi Cao, Ling Zhou
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/8413786
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author Guangxi Cao
Ling Zhou
author_facet Guangxi Cao
Ling Zhou
author_sort Guangxi Cao
collection DOAJ
description Based on the analysis of the shortage of emergency rescue services and the supervision of public-private-partnership (PPP) projects, this paper explores the rent-seeking game predicament and establishes a three-player rent-seeking game model among government regulators, private enterprises, and government agents in the bidding operation of PPP projects by learning from Stackelberg game theory. Through the numerical simulation analysis, this paper explores the impact of the relevant variables on the model results, which can lead to the following conclusions: the emphasis on government regulators changes due to rent-seeking cost changes; when the success rate of verification is high, government regulators can take supervision randomly. Inversely, supervision channels should be broadened when the supervision fails. When the punishment on government agents and private enterprises is great, relaxing supervision may be appropriate. This study proposes the relevant policy recommendations for government regulators to improve their work.
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institution Kabale University
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publishDate 2021-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-e4bac24b1e8346f980ff7cc91d8986e32025-02-03T06:05:26ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/84137868413786The Optimal PPP Model of Emergency Rescue ServiceGuangxi Cao0Ling Zhou1School of Management Science and Engineering, Nanjing University of Information Science & Technology, Ningliu Road 219, Nanjing, Jiangsu 210044, ChinaSchool of Management Science and Engineering, Nanjing University of Information Science & Technology, Ningliu Road 219, Nanjing, Jiangsu 210044, ChinaBased on the analysis of the shortage of emergency rescue services and the supervision of public-private-partnership (PPP) projects, this paper explores the rent-seeking game predicament and establishes a three-player rent-seeking game model among government regulators, private enterprises, and government agents in the bidding operation of PPP projects by learning from Stackelberg game theory. Through the numerical simulation analysis, this paper explores the impact of the relevant variables on the model results, which can lead to the following conclusions: the emphasis on government regulators changes due to rent-seeking cost changes; when the success rate of verification is high, government regulators can take supervision randomly. Inversely, supervision channels should be broadened when the supervision fails. When the punishment on government agents and private enterprises is great, relaxing supervision may be appropriate. This study proposes the relevant policy recommendations for government regulators to improve their work.http://dx.doi.org/10.1155/2021/8413786
spellingShingle Guangxi Cao
Ling Zhou
The Optimal PPP Model of Emergency Rescue Service
Discrete Dynamics in Nature and Society
title The Optimal PPP Model of Emergency Rescue Service
title_full The Optimal PPP Model of Emergency Rescue Service
title_fullStr The Optimal PPP Model of Emergency Rescue Service
title_full_unstemmed The Optimal PPP Model of Emergency Rescue Service
title_short The Optimal PPP Model of Emergency Rescue Service
title_sort optimal ppp model of emergency rescue service
url http://dx.doi.org/10.1155/2021/8413786
work_keys_str_mv AT guangxicao theoptimalpppmodelofemergencyrescueservice
AT lingzhou theoptimalpppmodelofemergencyrescueservice
AT guangxicao optimalpppmodelofemergencyrescueservice
AT lingzhou optimalpppmodelofemergencyrescueservice