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postgraduate thesis: An analysis of China's "three red lines" property rules' impact on local housing prices

TitleAn analysis of China's "three red lines" property rules' impact on local housing prices
Authors
Issue Date2025
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Li, Z. [李正山]. (2025). An analysis of China's "three red lines" property rules' impact on local housing prices. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractWhat are the economic consequences of governments employing administrative policies to achieve supply-side deleveraging? This paper explores the impact of deleveraging policies leading to liquidity crises and local real estate prices crash in China, using the "Three Red Lines" policy for the real estate sector implemented in 2020 as a case study. Utilizing hand-collected project and land level data, we constructed city-level Three Red Lines (TRL) risk exposure indicators. Our findings reveal that after the implementation of the TRL policy, cities with higher TRL risk exposure experienced an overall housing price decline of 26%-28%, and the secondary housing market housing price index, fell by 31.8%-33.6%. It was only after the TRL policy was implemented that it emerged as a risk factor, contributing to the observed decrease in housing prices in cities with greater TRL risk exposure. This study highlights the significant economic consequence of administrative deleveraging in developing countries and uncover the critical role of supply-side risk factors in determining housing market prices.
DegreeDoctor of Business Administration
SubjectReal property - Government policy - China
Housing - Prices - China
Real estate business - China
Dept/ProgramBusiness Administration
Persistent Identifierhttp://hdl.handle.net/10722/366215

 

DC FieldValueLanguage
dc.contributor.authorLi, Zhengshan-
dc.contributor.author李正山-
dc.date.accessioned2025-11-18T05:36:03Z-
dc.date.available2025-11-18T05:36:03Z-
dc.date.issued2025-
dc.identifier.citationLi, Z. [李正山]. (2025). An analysis of China's "three red lines" property rules' impact on local housing prices. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/366215-
dc.description.abstractWhat are the economic consequences of governments employing administrative policies to achieve supply-side deleveraging? This paper explores the impact of deleveraging policies leading to liquidity crises and local real estate prices crash in China, using the "Three Red Lines" policy for the real estate sector implemented in 2020 as a case study. Utilizing hand-collected project and land level data, we constructed city-level Three Red Lines (TRL) risk exposure indicators. Our findings reveal that after the implementation of the TRL policy, cities with higher TRL risk exposure experienced an overall housing price decline of 26%-28%, and the secondary housing market housing price index, fell by 31.8%-33.6%. It was only after the TRL policy was implemented that it emerged as a risk factor, contributing to the observed decrease in housing prices in cities with greater TRL risk exposure. This study highlights the significant economic consequence of administrative deleveraging in developing countries and uncover the critical role of supply-side risk factors in determining housing market prices. -
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshReal property - Government policy - China-
dc.subject.lcshHousing - Prices - China-
dc.subject.lcshReal estate business - China-
dc.titleAn analysis of China's "three red lines" property rules' impact on local housing prices-
dc.typePG_Thesis-
dc.description.thesisnameDoctor of Business Administration-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineBusiness Administration-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2025-
dc.identifier.mmsid991045115414803414-

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