A Study on Benefit Distribution of Multi-agent Urban Residential Land Supply Based on Game Theory

Huayun Song and Hao Wang ()
Additional contact information
Huayun Song: Central University of Finance and Economics
Hao Wang: Central University of Finance and Economics

A chapter in Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1209-1221 from Springer

Abstract: Abstract Since the economic reform and opening up, the urbanization of China has been continuously advanced. Housing shortage has become one of the key problems for the sustainable development of megacities. The Chinese government has adopted the strategy of “multi-agent land supply” to expand land supply. Facing the government’s promotion and market demands, the benefits acquired during the land supply drive many stakeholders to implement pilot policies. Under the above background, this paper intends to construct the relationship network from the perspective of benefit distribution, analyze the benefit distribution among various agents and compare the difference between the urban land reserve mode and multi-agent land supply mode based on the game theory. The result showed that promoting the multi-agent land supply mode was more likely to achieve the Nash equilibrium and benefit distribution was more balanced along with the promotion of the policy.

Keywords: Urban residential land; Multi-agent land supply; Urban land reserve mode; Game theory (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3587-8_82

Ordering information: This item can be ordered from
http://www.springer.com/9789811635878

DOI: 10.1007/978-981-16-3587-8_82

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().