수도권 아파트의 경매낙찰가율에 미치는 영향 요인 연구 (A Research on the Influence Factors of the Auction Winning Price Rate of the Apartments in Seoul Metropolitan Area)

서지정보

· 발행기관 : 한국부동산학회
· 수록지 정보 : 부동산학보 / 69호 / 116 ~ 130페이지
· 저자명 : 임의택, 이호병

초록

기대수익의 실현이 어렵게 보이는 부실채권을 담보하고 있는 아파트가 인터넷 경매 사이트 등을 통해 광고되면서 보다 많은 개인 또는 법인들이 경매 입찰에 참여하게 된다. 이러한 맥락에서 부동산 특성, 입지 특성, 경매 특성, 부실채권 특성이 아파트의 경매 낙찰가율에 미치는 영향을 분석하는 것이다. 분석 결과는 다음과 같다. 첫째, 분석대상 15개 변수 중에서 통계적 유의성을 갖으면서 영향력이 가장 큰 변수는 유찰횟수이며, 다음으로 영향이 큰 변수는 응찰자수이다. 둘째, 아파트의 건물면적은 통계적 유의성을 보였다. 다시 말하면, 소형 평형 아파트의 경매낙찰가율이 대형 평형 아파트보다 높았다. 셋째, 부실채권 특성 변수 중에서 금융기관의 유형이 통계적으로 유의성 있는 영향을 미치는 것으로 검증되었으나, 선행연구에서 근린상가 및 공장 등의 경매낙찰가율에 유의성을 보인 제1순위근저당채권비율은 통계적 유의성을 보이지 못했다. 넷째, 서울과 서울을 제외한 수도권으로 구분한 지역요인이 통계적 유의성 있는 변수로 검증되었다. 다섯째, 대항력이 있는 임차인, 연체관리비 등 기타 변수는 경매낙찰가율에 통계적 유의성 있는 영향을 미치지 않은 것으로 검증되었다.

영어초록

1. CONTENTS (1) RESEARCH OBJECTIVES Auction apartments with Non-Performing Loans which show the impossibility of the realization of expected profit are advertised through the internet auction sites and the lectures of auction academies. These kinds of advertisement bring more people to participate in apartment auction bidding. Eventually, it is assumed that the auction winning price or the auction winning price rate tend to increase. With the above description, this research is to analyze the impact of the factors such as real estate characteristics, locational characteristics, auction characteristics and the characteristics related to non-performing loan on the apartment auction winning price rate.


(2) RESEARCH METHOD The research is to analyse the data of the auction apartment with the non-performing loans which the affiliates of ○○○Asset Management Company bought from the several financial institutes. The data of this research were posted at Good Auction internet site. In order to identify a statistical figures, the research used statistical techniques such as basic statistics analysis and the regression analysis.


(3) RESEARCH FINDINGS The major findings of the research are as follows. First, the most powerful variable with a statistical significance among 15 independent variables analysed by this research is the number of auction bid failure and the second powerful factor with a statistical significance is the number of auction participant. Second, the size of apartment exclusive area shows a statistical significance. It means that the auction winning price rate is higher in the small size apartments than in the large size apartment. Third, the types of financial institute among the NPL -related variables influence the auction winning price rate with a statistical significance. Fourth, the region factor classified as Seoul and the other metropolitan area excluding Seoul has a significant impact on the winning price rate of auction apartment. Fifth, there is no statistical significance in the impact of the other factors such as tenant with countervailing power and delayed maintenance fee. Therefore, it is assumed that the participants of apartment auction disregard these factors when they participate at apartment auction.


2. RESULTS This research found out that the types of financial institutes among the NPL -related variables influence apartment auction winning price rate with a statistical significance. In other words, the auction winning price rate is higher in the apartments mortgaged by the first group financial institutes than in the apartments mortgaged by the second group financial institutes. However, the first mortgage backed loan rate does not show a statistical significance. But, it showed a significant impact on the auction winning price rate of real estates such as commercial facilities and factories in the previous other research.

참고자료

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