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Elasticity of Demand for Urban Housing in Western China Based on Micro-data - A Case Study of Kunming

The Journal of Industrial Distribution & Business / The Journal of Industrial Distribution & Business, (E)2233-5382
2016, v.7 no.3, pp.27-36
https://doi.org/https://doi.org/10.13106/ijidb.2016.vol7.no3.27.
Zhang, Hong
Li, Shaokai
Kong, Yanhua

Abstract

Purpose - Considering the importance of housing needs to real estate market, domestic studies on real estate prices from the perspective of demand are basically based on macro-data, but relatively few are associated with micro-data of urban real estate demand. We try to find a reliable relation of elasticity of demand and commercial housing market. Research design, data, and methodology - In this paper, we have derived housing demand theoretic method and have utilized micro-data of residential family housing survey of downtown area in Kunming City in October, 2015 to estimate income elasticity and price elasticity of housing demand respectively and make a comparative analysis. Results - The results indicate that income elasticity and price elasticity of families with owner-occupied housing are both larger than those of families with rental housing. Income elasticity of housing demand of urban residential families in Kunming is far below the foreign average and eastern coastal cities level, however, the corresponding price elasticity is far higher. Conclusions - We suggest that housing affordability of urban families in western China are constrained by the level of economic development, and the current housing price level has exceeded the economic affordability and psychological expectation of ordinary residents. Furthermore, noticing the great rigidity of housing demand, the expansion space of housing market for improvement and for commodity is limited.

keywords
Microcosmic Data, Housing Needs, Elasticity of Demand

Reference

1.

Allen, C. Goodman (1988). An Econometric Model of Housing Price, Permanent Income, Tenure Choice and Housing Demand. Journal of Urban Economics, 23(3), 327-353.

2.

Arrondel, Luc, & Lefebvre, Bruno (2001). Consumption and I nvestment Motives in Housing Wealth Accumulation:A French Study. Journal of Urban Economics, 50(1), 112-137.

3.

Boschert, Silke (2010). Methods of conflict resolution and role finding in the team: psychodrama - a useful method in geriatric nursing. Pflegezeitschrift, 60(9), 1742-1748.

4.

Ellwood, D. T., & Polinsky, A. M. (1979). An empirical reconci liation of micro and grouped estimates of the demand for housing. Review of Economics and Statistics, 61(2), 199-205.

5.

Ermisch, J. F., Findlay, J., & Gibb, K. (1996). The elasticity of housing demand in Britain: Issues of sample selection. Journal of Housing Economics, 5, 54-86

6.

Friedman. M. (1957). A theory of the consumption function. Princeton: Princeton University Press.

7.

Gillebert, Q., Gligorov, J., & Kerrou, K. (2013). Modification du métabolisme tumoral au cours du traitement : suivi de la réponse thérapeutique par tomographie par émission de positons. Oncologie, 15(9), 448–453.

8.

Henderson, J. V., & Ioannides, Y. M. (1983). A model of housing tenure choice. The American Economic Review, 73(7), 98- 113.

9.

Jiang, Chunhai (2005). A case study of the speculation bubb le on China’s real estate market, Management World, 12, 71-84

10.

Leeuw, F. D. (1971). The Demand for Housing: A Review of Cross-Section Evidence. Review of Economics and Statistics, 53(1), 1-10.

11.

Lee, Tong-Hun, & Kong, Chang-Min (1977). Elasticities of housing demand. Southern Economic Journal, 44(1), 298-305

12.

Liu, Xueliang (2014). Housing supply elasticity, determinant factors and housing price performance of urban China. Finance and Trade Research, 4, 125-137.

13.

Moore, Albert, Bourrassa-Blanchette, Samuel, & El-Mouallem, Eva (2014). The median effective seated time for hypotension induced by spinal anesthesia at Cesarean delivery with two doses of hyperbaric bupivacaine: a randomized up-down sequential allocation study. Canadian. Journal of Anesthesia/Journal canadien d'anesthésie, 61(10), 916-921.

14.

Muth, R. F. (1960). The demand for non-farm housing in:Harberger, A. (ed.). The demand for Durable Goods, 4(1), 29- 96.

15.

Polinsky, A. M., & Ellwood, D. T. (1979). An empirical reconciliation of micro and grouped estimates of the demand for housing. The Review of Economics and Statistics, 61, 199-205.

16.

Rubini, Alessandro, & Bosco, Gerardo (2013). The effect of body temperature on the dynamic respiratory system compliance–breathing frequency relationship in the rat. Journal of Biological Physics, 39(3), 315-321.

17.

Toussaint- Comeau, M., & Rhine, L. W. (2004). Tenure choice with location selection The case of Hispanic neighborhoods in Chicago. Contemporary Economic Policy, 22(1), 95-110.

18.

Xiaoyu, Guo (2008). The summary of housing demand. Productivity Research, 17, 149-153.

19.

Zhao, Chen (1997). The long term forecasting of consumer demand in China's housing market. Consumer Economics, 4, 53-56.

20.

Zheng, Siqi, & Liu, Hongyu (2005). Income Elasticity of Housing Demand in China: model, estimation and forecast. China Civil Engineering Journal, 7, 320-324.

21.

Zinai, Li, & Ye, Azhong (2000). Advanced econometrics. Beijing: Tsinghua University Press.

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