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

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  • Jing Li

    (City University of Hong Kong, Hong Kong)

  • Ying Xu

    (Hunan University, China)

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.

Suggested Citation

  • Jing Li & Ying Xu, 2016. "Evaluating restrictive measures containing housing prices in China: A data envelopment analysis approach," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2654-2669, September.
    • Handle: RePEc:sae:urbstu:v:53:y:2016:i:12:p:2654-2669
    DOI: 10.1177/0042098015594594
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    References listed on IDEAS

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    Cited by:

    1. Yongsheng Jiang & Dong Zhao & Andrew Sanderford & Jing Du, 2018. "Effects of Bank Lending on Urban Housing Prices for Sustainable Development: A Panel Analysis of Chinese Cities," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    2. Ya Gao & Xiuting Li & Jichang Dong, 2019. "Does Housing Policy Sustainability Matter? Evidence from China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    3. Yingchao Lin & Zhili Ma & Ke Zhao & Weiyan Hu & Jing Wei, 2018. "The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities," Sustainability, MDPI, vol. 10(9), pages 1-14, September.

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