Evaluating restrictive measures containing housing prices in China: A data envelopment analysis approach

Jing Li and Ying Xu
Additional contact information
Jing Li: City University of Hong Kong, Hong Kong
Ying Xu: Hunan University, China

Urban Studies, 2016, vol. 53, issue 12, 2654-2669

Abstract: This paper establishes and evaluates the efficiency of three restrictive measures adopted by the government to contain housing prices: restricted bank loan ( xiandai ), restricted sale price ( xianjia ) and restricted housing purchase ( xiangou ). Based on the data envelopment analysis non-controllable variable model, the efficiency of the three measures to mediating housing prices among 35 major cities are examined. It is found that xiangou is more efficient than xianjia and xiandai to achieve stabilising goals in the housing market. The findings of this research could provide the government with a benchmark to estimate the possible outcome of different restrictive measures containing property prices, in the context of the global overflow of liquidity over the past decade.

Keywords: data envelopment analysis; housing prices; xiandai; xiangou; xianjia (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0042098015594594 (text/html)

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:sae:urbstu:v:53:y:2016:i:12:p:2654-2669

DOI: 10.1177/0042098015594594

Access Statistics for this article

More articles in Urban Studies from Urban Studies Journal Limited
Bibliographic data for series maintained by SAGE Publications ().