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China's Land Market Auctions: Evidence of Corruption

Hongbin Cai (), J. Vernon Henderson and Qinghua Zhang

No 15067, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: This paper studies the urban land market in China in 2003--2007. In China, all urban land is owned by the state. Leasehold use rights for land for (re)development are sold by city governments and are a key source of city revenue. Leasehold sales are viewed as a major venue for corruption, prompting a number of reforms over the years. Reforms now require all leasehold rights be sold at public auction. There are two main types of auction: regular English auction and an unusual type which we call a "two stage auction". The latter type of auction seems more subject to corruption, and to side deals between potential bidders and the auctioneer. Absent corruption, theory suggests that two stage auctions would most likely maximize sales revenue for properties which are likely to have relatively few bidders, or are "cold", which would suggest negative selection on property unobservables into such auctions. However, if such auctions are more corruptible, that could involve positive selection as city officials divert hotter properties to a more corruptible auction form. The paper finds that, overall, sales prices are lower for two stage auctions, and there is strong evidence of positive selection. The price difference is explained primarily by the fact that two stage auctions typically have just one bidder, or no competition despite the vibrant land market in Chinese cities.

JEL-codes: D44 H71 O38 O53 R14 R31 R52 (search for similar items in EconPapers)
Date: 2009-06
New Economics Papers: this item is included in nep-cna, nep-dev, nep-tra and nep-ure
Note: PE
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (44)

Published as Hongbin Cai & J. Vernon Henderson & Qinghua Zhang, 2013. "China's land market auctions: evidence of corruption?," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 488-521, 09.

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