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Are Online-Only Real Estate Marketplaces Viable? Evidence from China

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Listed:
  • Mandi Xu

    (Tsinghua University)

  • Hefan Zheng

    (Tsinghua University)

  • Jing Wu

    (Tsinghua University)

Abstract

Online businesses have been surging worldwide during the past decade, especially during the recent COVID-19 epidemic. However, the market share of online real estate transactions is still limited, mainly due to the information-asymmetry problem. In this study, we manually collect data on online judicial housing auctions in China, which is currently the largest online real estate market globally, and investigate how information disclosure facilitates real estate transactions. The empirical results suggest that disclosing better quality information online can attract more potential buyers. In particular, providing more comprehensive information such as professional appraisal reports or videos of the property can help to convert buyers’ initial interests into completed transactions and higher sales proceeds. The positive effects of information are particularly strong when combined with offline services, in a more mature online market, and for low-value properties. We also provide preliminary analysis of factors affecting online-information-disclosure quality from both the macro and micro perspectives. We also provide preliminary analysis of factors affecting online-information-disclosure quality from both the macro and micro perspectives.

Suggested Citation

  • Mandi Xu & Hefan Zheng & Jing Wu, 2024. "Are Online-Only Real Estate Marketplaces Viable? Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 68(4), pages 583-623, May.
    • Handle: RePEc:kap:jrefec:v:68:y:2024:i:4:d:10.1007_s11146-022-09924-x
    DOI: 10.1007/s11146-022-09924-x
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    References listed on IDEAS

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    1. Peter C. Cramton, 1984. "Bargaining with Incomplete Information: An Infinite-Horizon Model with Two-Sided Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(4), pages 579-593.
    2. Pablo Kurlat & Johannes Stroebel, 2015. "Testing for Information Asymmetries in Real Estate Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(8), pages 2429-2461.
    3. Genesove, David & Han, Lu, 2012. "Search and matching in the housing market," Journal of Urban Economics, Elsevier, vol. 72(1), pages 31-45.
    4. de Wit, Erik R. & van der Klaauw, Bas, 2013. "Asymmetric information and list-price reductions in the housing market," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 507-520.
    5. Atif Mian & Amir Sufi & Francesco Trebbi, 2015. "Foreclosures, House Prices, and the Real Economy," Journal of Finance, American Finance Association, vol. 70(6), pages 2587-2634, December.
    6. Santiago Gallino & Antonio Moreno, 2014. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information," Management Science, INFORMS, vol. 60(6), pages 1434-1451, June.
    7. Wheaton, William C, 1990. "Vacancy, Search, and Prices in a Housing Market Matching Model," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1270-1292, December.
    8. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    9. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    10. Cary Deck & Harris Schlesinger, 2010. "Exploring Higher Order Risk Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1403-1420.
    11. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    12. Terrence M. Clauretie & Nasser Daneshvary, 2009. "Estimating the House Foreclosure Discount Corrected for Spatial Price Interdependence and Endogeneity of Marketing Time," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(1), pages 43-67, March.
    13. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    14. Fahim Ullah & Samad M. E. Sepasgozar & Changxin Wang, 2018. "A Systematic Review of Smart Real Estate Technology: Drivers of, and Barriers to, the Use of Digital Disruptive Technologies and Online Platforms," Sustainability, MDPI, vol. 10(9), pages 1-44, September.
    15. Marianne Bertrand & Adair Morse, 2011. "Information Disclosure, Cognitive Biases, and Payday Borrowing," Journal of Finance, American Finance Association, vol. 66(6), pages 1865-1893, December.
    16. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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