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How Do “One-Time Bidding, Average Price Win” Land Auction Rules Affect Land Prices: A Quasinatural Experiment in Suzhou, China

Author

Listed:
  • Duo Chai

    (School of Government, Central University of Finance and Economics, Beijing 100081, China)

  • Shunru Li

    (China Economics and Management Academy, Central University of Finance and Economics, Beijing 100081, China)

  • Pengyuan Zhang

    (School of Public Finance and Taxation, Hebei University of Economics and Business, Shijiazhuang 050061, China)

Abstract

The land price reflects the supply and demand relationship in the land market and plays an important role in regulating land use. Improving land auction rules is of great significance for avoiding abnormal fluctuations in the land market and promoting the sustainable use of land resources. To regulate the abnormal fluctuations in the state-owned land use rights’ auction prices, Chinese local governments have implemented a “sealed one-time bidding, average price wins” rule. However, limited theoretical and empirical research that assesses its policy impact exists. This study examines the policy motivations behind this rule, constructing three game models; namely, static complete information, static incomplete information, and multiperiod repeated games. By deducing bidding strategies and equilibrium results, hypotheses are formulated. A baseline difference-in-differences (DID) and a dynamic policy effect model are designed, and the Python crawler is used to obtain 1182 microland auction samples in Suzhou. This study evaluates the impact of the one-time bidding rule on the starting prices, transaction prices, and premium rates. The empirical results underwent multiple robustness tests, eliminating potential endogeneity issues and biases. The results show that while the policy is effective in restraining the premium rate, indicating the bidding intensity in single-land auctions, it proves challenging to curb the long-term rise in land prices through continuous bidding auctions. Moreover, the policy may stimulate local governments to increase auction starting prices.

Suggested Citation

  • Duo Chai & Shunru Li & Pengyuan Zhang, 2024. "How Do “One-Time Bidding, Average Price Win” Land Auction Rules Affect Land Prices: A Quasinatural Experiment in Suzhou, China," Land, MDPI, vol. 13(11), pages 1-28, October.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:11:p:1740-:d:1505026
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    References listed on IDEAS

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    1. Joseph T.L. Ooi & C.F. Sirmans & Geoffrey K. Turnbull, 2006. "Price Formation Under Small Numbers Competition: Evidence from Land Auctions in Singapore," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(1), pages 51-76, March.
    2. Paul Milgrom, 2000. "Putting Auction Theory to Work: The Simultaneous Ascending Auction," Journal of Political Economy, University of Chicago Press, vol. 108(2), pages 245-272, April.
    3. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    4. Hubbard, Timothy P. & Li, Tong & Paarsch, Harry J., 2012. "Semiparametric estimation in models of first-price, sealed-bid auctions with affiliation," Journal of Econometrics, Elsevier, vol. 168(1), pages 4-16.
    5. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    6. Van Ommeren, Jos & Graaf-de Zijl, Marloes, 2013. "Estimating household demand for housing attributes in rent-controlled markets," Journal of Housing Economics, Elsevier, vol. 22(1), pages 11-19.
    7. Richard Engelbrecht-Wiggans & Elena Katok, 2008. "Regret and Feedback Information in First-Price Sealed-Bid Auctions," Management Science, INFORMS, vol. 54(4), pages 808-819, April.
    8. Arnott, Richard & Igarashi, Masahiro, 2000. "Rent control, mismatch costs and search efficiency," Regional Science and Urban Economics, Elsevier, vol. 30(3), pages 249-288, May.
    9. Budde, Maximilian & Minner, Stefan, 2014. "First- and second-price sealed-bid auctions applied to push and pull supply contracts," European Journal of Operational Research, Elsevier, vol. 237(1), pages 370-382.
    10. E Ballestero & C Bielza & D Pla-Santamaría, 2006. "A decision approach to competitive electronic sealed-bid auctions for land," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1126-1133, September.
    11. Early, Dirk W., 2000. "Rent Control, Rental Housing Supply, and the Distribution of Tenant Benefits," Journal of Urban Economics, Elsevier, vol. 48(2), pages 185-204, September.
    12. Wang, Chao & Guo, Peijun, 2017. "Behavioral models for first-price sealed-bid auctions with the one-shot decision theory," European Journal of Operational Research, Elsevier, vol. 261(3), pages 994-1000.
    13. Klemperer, Paul, 1999. " Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-86, July.
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