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Increasing returns, land use controls and housing prices in China

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  • Zhang, Dingsheng
  • Cheng, Wenli
  • Ng, Yew-Kwang

Abstract

The Chinese government has been active in trying to cool the alleged bubbles in its housing markets, especially in urban areas. This paper argues that the high housing prices are partly caused by some real factors, including the policy of restricting land uses, in particular the maintenance of a minimum overall agricultural acreage. A simple model of three sectors (housing, agriculture, and others) is constructed to examine the effects of the artificial constraint. The role of increasing returns in the non-agricultural sectors in exacerbating the policy biases is also examined. The model is then calibrated to estimate the effects of land use control policy on housing prices in China.

Suggested Citation

  • Zhang, Dingsheng & Cheng, Wenli & Ng, Yew-Kwang, 2013. "Increasing returns, land use controls and housing prices in China," Economic Modelling, Elsevier, vol. 31(C), pages 789-795.
  • Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:789-795
    DOI: 10.1016/j.econmod.2013.01.034
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    References listed on IDEAS

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    Cited by:

    1. David Howden & Jason XingBin Li, 2015. "An Austrian Analysis of China's Unsustainable Boom," Economic Affairs, Wiley Blackwell, vol. 35(3), pages 443-452, October.
    2. Chen, W.D., 2016. "Policy failure or success? Detecting market failure in China's housing market," Economic Modelling, Elsevier, vol. 56(C), pages 109-121.
    3. Nannan Yuan & Shigeyuki Hamori, 2014. "Are government interventions effective in regulating China fs house prices?," Discussion Papers 1427, Graduate School of Economics, Kobe University.
    4. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    5. Li, Victor Jing & Cheng, Andy Wui Wing & Cheong, Tsun Se, 2017. "Home purchase restriction and housing price: A distribution dynamics analysis," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 1-10.
    6. Canofari, Paolo & Marini, Giancarlo & Scaramozzino, Pasquale, 2017. "The importance of being remembered: Prices for cemetery plots in the US," Economic Modelling, Elsevier, vol. 64(C), pages 638-645.
    7. Guo, Yumei & Huang, Xianjing & Peng, Yuchao, 2020. "How does house price influence monetary policy transmission?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    8. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    9. Mei Liu & Qing-Ping Ma, 2021. "Determinants of house prices in China: a panel-corrected regression approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 47-72, August.
    10. Carlos Pestana BARROS & Zhongfei CHEN & Luis A. GIL-ALANA, 2013. "Long Memory in the Housing Price Indices in China," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(7), pages 785-807, July.
    11. Barros, Carlos Pestana & Gil-Alana, Luis A. & Chen, Zhongfei, 2014. "The housing market in Beijing and delays in sales: A fractional polynomial survival model," Economic Modelling, Elsevier, vol. 42(C), pages 296-300.
    12. Iris Claus & Les Oxley & Jie Chen & Xuehui Han, 2014. "The Evolution Of The Housing Market And Its Socioeconomic Impacts In The Post-Reform People'S Republic Of China: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 28(4), pages 652-670, September.
    13. Dai, Tiantian & He, Chao & Jiang, Shenyi, 2023. "Talent in the public sector: The role of migration and housing policies," Economic Modelling, Elsevier, vol. 129(C).
    14. Hu, Genhua & Fan, Gang-Zhi, 2022. "Empirical evidence of risk contagion across regional housing markets in China," Economic Modelling, Elsevier, vol. 115(C).

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    More about this item

    Keywords

    Increasing returns; Land use controls in China; Housing prices in China;
    All these keywords.

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

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