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      Collaborative Supply Mechanism of Government-Subsidized Rental Housing from the Perspective of Tripartite Evolutionary Game in Metropolitan Cities of China

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          Abstract

          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.

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                Author and article information

                Contributors
                Journal
                Comput Intell Neurosci
                Comput Intell Neurosci
                cin
                Computational Intelligence and Neuroscience
                Hindawi
                1687-5265
                1687-5273
                2022
                28 March 2022
                : 2022
                : 4895099
                Affiliations
                1School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China
                2College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
                3Laboratory of Neuromanagement in Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
                Author notes

                Academic Editor: Huihua Chen

                Author information
                https://orcid.org/0000-0001-7443-7342
                https://orcid.org/0000-0001-8998-4859
                https://orcid.org/0000-0003-2019-8336
                https://orcid.org/0000-0003-4738-6433
                https://orcid.org/0000-0002-4793-5044
                Article
                10.1155/2022/4895099
                8979726
                d16aac6e-d4e4-4d02-8700-f625c9ace5aa
                Copyright © 2022 Xiaojun Liu et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 November 2021
                : 27 January 2022
                : 16 February 2022
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 72104192
                Award ID: 72141018
                Funded by: Ministry of Education of the People's Republic of China
                Award ID: 21YJC630017
                Funded by: Social Science Foundation of Shaanxi Province
                Award ID: 2020ZDWT18
                Categories
                Research Article

                Neurosciences
                Neurosciences

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