Abstract
In this study, an empirical analysis was conducted by utilizing multiple regression analysis to determine the factors affecting the sale price rate of unplanned factory auctions in Hwaseong city. The sale price rate of unplanned factory auctions was used as the dependent variable. The inherent characteristics of the factory such as land price ratio, presence of unauthorized buildings and mechanical equipment, construction periods the width of the road, planning management for use district, and standard auction characteristics showing the presence or absence of lien, active bids, and liquidity used as independent variables in this study. As a result of multiple regression analysis, factories with higher equity to land price ratio, constructed in less than 10 years, and liquidity of an underlying asset had a positive (+) effect on the auction sale price rate. On the contrary, factories that had road widths less than 4 meters, with more machinery, active liens, and failed to meet the bids had a negative (-) effect on the auction sale price rate. The significance of variables that impected the auction sale price rates are in the following order: failure to meet bids, land price ratio, constructed in less than 10 years, presence of lien, machinery, roads with a width less than 4m, and liquidity of the underlying asset. The contribution of this study is that at a time when auction research on factories was lacking, the factors influencing the sale price rate of individual location factories were identified by using successful bids in court auctions, and the determinant of the auction sale price rate is provided for reliable decision-making to end users and medium-sized enterprises participating in factory auctions.
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