Increasing Returns, Land Use Controls and Housing Prices
AbstractThe 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 at least 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.
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Bibliographic InfoPaper provided by Monash University, Department of Economics in its series Monash Economics Working Papers with number 12-14.
Length: 21 pages
Date of creation: Mar 2012
Date of revision:
Contact details of provider:
Postal: Department of Economics, Monash University, Victoria 3800, Australia
Web page: http://www.buseco.monash.edu.au/eco/
More information through EDIRC
Find related papers by 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
This paper has been announced in the following NEP Reports:
- NEP-AGR-2012-04-03 (Agricultural Economics)
- NEP-ALL-2012-04-03 (All new papers)
- NEP-TRA-2012-04-03 (Transition Economics)
- NEP-URE-2012-04-03 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- repec:asi:ajoerj:2013:p:785-807 is not listed on IDEAS
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