PMID- 35387242
OWN - NLM
STAT- MEDLINE
DCOM- 20220408
LR  - 20220408
IS  - 1687-5273 (Electronic)
IS  - 1687-5265 (Print)
VI  - 2022
DP  - 2022
TI  - Collaborative Supply Mechanism of Government-Subsidized Rental Housing from the 
      Perspective of Tripartite Evolutionary Game in Metropolitan Cities of China.
PG  - 4895099
LID - 10.1155/2022/4895099 [doi]
LID - 4895099
AB  - With the advancement of urbanisation, the inflow of population in China's large 
      cities has been increasing and the demand for rental housing of "new citizens" 
      with insufficient housing affordability has become increasingly strong. 
      Therefore, the Chinese government proposes to provide government-subsidized 
      rental housing (GSRH) different from public rental housing. At present, the 
      supply mode of public rental housing in China is mainly government construction 
      and operation, which has the problems of low supply efficiency and low service 
      level. It is critical to explore an efficient supply model in the construction of 
      the GSRH system. Therefore, this study, starting from the three supply subjects 
      of government, market, and society, constructs an evolutionary game model and 
      uses agent-based modelling simulation to explore how multisubjects achieve 
      optimal collaboration in the supply process of GSRH. The results are as follows: 
      First, the development of a collaborative supply system includes four stages: 
      noncooperative behaviour, collaborative exploration, collaborative game, and 
      three-subject collaborative supply. Second, the government is the core of 
      realising multisubject coordination. Increasing government supervision will boost 
      market participation, while increasing government subsidies can fully mobilise 
      the enthusiasm of social subjects but cannot continuously improve the market's 
      enthusiasm. Third, increasing the participation ratio of social subjects will 
      help mobilise the enthusiasm of other subjects to participate, while the 
      excessive participation ratio of market subjects may cause an imbalance in the 
      collaborative supply system. This study provides theoretical support for the 
      efficient supply of GSRH.
CI  - Copyright (c) 2022 Xiaojun Liu et al.
FAU - Liu, Xiaojun
AU  - Liu X
AUID- ORCID: 0000-0001-7443-7342
AD  - School of Management, Xi'an University of Architecture and Technology, Xi'an 
      710055, China.
FAU - Dong, Jie
AU  - Dong J
AUID- ORCID: 0000-0001-8998-4859
AD  - School of Management, Xi'an University of Architecture and Technology, Xi'an 
      710055, China.
FAU - Cui, Peng
AU  - Cui P
AUID- ORCID: 0000-0003-2019-8336
AD  - College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China.
FAU - Wang, Mengmeng
AU  - Wang M
AUID- ORCID: 0000-0003-4738-6433
AD  - School of Management, Xi'an University of Architecture and Technology, Xi'an 
      710055, China.
AD  - Laboratory of Neuromanagement in Engineering, Xi'an University of Architecture 
      and Technology, Xi'an 710055, China.
FAU - Guo, Xiaotong
AU  - Guo X
AUID- ORCID: 0000-0002-4793-5044
AD  - School of Management, Xi'an University of Architecture and Technology, Xi'an 
      710055, China.
AD  - Laboratory of Neuromanagement in Engineering, Xi'an University of Architecture 
      and Technology, Xi'an 710055, China.
LA  - eng
PT  - Journal Article
DEP - 20220328
PL  - United States
TA  - Comput Intell Neurosci
JT  - Computational intelligence and neuroscience
JID - 101279357
SB  - IM
MH  - *Biological Evolution
MH  - China
MH  - Cities
MH  - Government
MH  - *Housing
MH  - Humans
PMC - PMC8979726
COIS- The authors declare that there are no conflicts of interest regarding the 
      publication of this paper.
EDAT- 2022/04/08 06:00
MHDA- 2022/04/09 06:00
PMCR- 2022/03/28
CRDT- 2022/04/07 05:22
PHST- 2021/11/22 00:00 [received]
PHST- 2022/01/27 00:00 [revised]
PHST- 2022/02/16 00:00 [accepted]
PHST- 2022/04/07 05:22 [entrez]
PHST- 2022/04/08 06:00 [pubmed]
PHST- 2022/04/09 06:00 [medline]
PHST- 2022/03/28 00:00 [pmc-release]
AID - 10.1155/2022/4895099 [doi]
PST - epublish
SO  - Comput Intell Neurosci. 2022 Mar 28;2022:4895099. doi: 10.1155/2022/4895099. 
      eCollection 2022.