부동산 종류에 따른 낙찰가격 결정요인 분석

1. CONTENTS (1) RESEARCH OBJECTIVES This study analyzes factors of the determination for successful highest bid price rate of the real estate auction market in Busan. After that, It is helpful bidder who is attended in auction market Busan. (2) RESEARCH METHOD Among the independent variables, to find any variables have an effect on highest bid price rate through multiple regression because the highest bid price is determined by diversity factors more than independently determined by individual factor. (3) RESEARCH FINDINGS First, In case of detached house, plottage, a number of failed bid, diversion area, business district, a number of floors are significant variables. Secondly, In case of apartment, diversion area, business district, number of failed bid, number of floors, residential district, first preference region, number of progress years, numbers of bidder, plottage, an aesthetic area, second preference region, altitude area and third preference region are significant variables. Thirdly, In case of residential-commercial building, diversion area, altitude area, number of floors, number of progress years, number of failed bid and first preference region are significant variables. Fourthly, In case of multiplex house, diversion area, number of failed bid, number of progress years, plottage, number of bidder, second preference region, first preference region, business district and residential district are significant variables. Fifthly, In case of site, plottage, residential district, number of failed bid and greens district are significant variables. Sixthly, In case of forests, residential district, greens district, plottage and number of failed bid are significant variables. Seventhly, In case of rice fields, plottage, residential district, number of failed bid and fourth preference region are significant variables. 2. RESULTS The bid price of the real estate auction is determined by factors which is real estate's characteristics, the auction's characteristics, and location's characteristics depending on the kind of real estate.