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Crowding-out effects of affordable and unaffordable housing in China, 1999-2010

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  • Nannan Yuan
  • Shigeyuki Hamori

Abstract

Using panel data on housing construction, this article examines the crowding-out effects of affordable and unaffordable housing in China from 1999 to 2010. Applying a dynamic panel model allows us to examine the dynamic interactions between affordable and unaffordable housing constructions when controlling for region-specific fixed and time-specific effects. We analyse whether affordable (unaffordable) housing construction has changed in response to the past and contemporaneous construction of unaffordable (affordable) housing. Our empirical results reveal an asymmetric crowding-out pattern between affordable and unaffordable housing. We also observe that when urbanization rate is lower than 57.39%, unaffordable housing construction crowds out affordable housing construction. Moreover, the crowding-out effect of unaffordable housing on affordable housing decreases with rising urbanization rates.

Suggested Citation

  • Nannan Yuan & Shigeyuki Hamori, 2014. "Crowding-out effects of affordable and unaffordable housing in China, 1999-2010," Applied Economics, Taylor & Francis Journals, vol. 46(35), pages 4318-4333, December.
  • Handle: RePEc:taf:applec:v:46:y:2014:i:35:p:4318-4333
    DOI: 10.1080/00036846.2014.957441
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    1. Murray, Michael P, 1983. "Subsidized and Unsubsidized Housing Starts: 1961-1977," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 590-597, November.
    2. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    3. Eriksen, Michael D. & Rosenthal, Stuart S., 2010. "Crowd out effects of place-based subsidized rental housing: New evidence from the LIHTC program," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 953-966, December.
    4. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2012. "Evaluating conditions in major Chinese housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 531-543.
    5. Lee, Chul-In, 2007. "Does provision of public rental housing crowd out private housing investment? A panel VAR approach," Journal of Housing Economics, Elsevier, vol. 16(1), pages 1-20, March.
    6. Li, Lixing & Wu, Xiaoyu, 2014. "Housing price and entrepreneurship in China," Journal of Comparative Economics, Elsevier, vol. 42(2), pages 436-449.
    7. Zhang, Yanbing & Hua, Xiuping & Zhao, Liang, 2012. "Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010," Economic Modelling, Elsevier, vol. 29(6), pages 2349-2361.
    8. Sinai, Todd & Waldfogel, Joel, 2005. "Do low-income housing subsidies increase the occupied housing stock?," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2137-2164, December.
    9. Ahn, Seung C. & Schmidt, Peter, 1997. "Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 309-321.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    11. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
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    Cited by:

    1. Xie He & Xiao-Jing Cai & Shigeyuki Hamori, 2018. "Bank Credit and Housing Prices in China: Evidence from a TVP-VAR Model with Stochastic Volatility," JRFM, MDPI, vol. 11(4), pages 1-16, December.
    2. Yi Wu & Yunong Li, 2018. "Impact of government intervention in the housing market: evidence from the housing purchase restriction policy in China," Applied Economics, Taylor & Francis Journals, vol. 50(6), pages 691-705, February.
    3. Hongbo Wang & Dan Rickman, 2018. "Regional growth differences in China for 1995–2013: an empirical integrative analysis of their sources," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 99-117, January.
    4. Yang Hu & Rory Coulter, 2017. "Living space and psychological well-being in urban China: Differentiated relationships across socio-economic gradients," Environment and Planning A, , vol. 49(4), pages 911-929, April.

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