The purpose of this study is to analyze the effect of property characteristics and tenant rights protection system variables on the auction real estate bid price rate by using housing and apartment auction items in Seoul area. The time range of the data used in the analysis was set from January 2017 to June 2021, and the analysis method was multiple regression analysis. A total of 17 variables were applied to the housing-related model, and a total of 16 models were applied to the apartment-related model. Comparing the model I-2 and model II-2 with the tenant rights protection system, the housing affects the winning bid rate in the order of the number of bids, bids, claims, appraisers, share ownership, and senior lease rights.The apartment affects the winning bid rate in the order of the number of bids, the number of bids, the countervailing tenant, whether to declare the right, the building area, and whether to change the sale date.
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Son et al. (2024) studied this question.
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