Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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An Analysis of the Factors Influencing Sales Price of Multi-Household Houses in Chang-won City

창원시 다가구주택의 매매가격에 영향을 미치는 요인 분석

  • Oh, Sae-Joon (Department of Real Estate and Finance, Changshin University)
  • 오세준 (창신대학교 부동산금융학과)
  • Received : 2018.09.18
  • Accepted : 2019.03.20
  • Published : 2019.03.28
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Abstract

The public's interest regarding multi-household houses, one of the small-scale housings used as profit earning property, has been increasing. Previous studies regarding price, such as the rent and sales price of multi-household houses', however, were difficult to find. Thus, this study set forth to find out what characteristics influence the sales price of multi-household houses so as to provide further suggestions to investors' decision makings and developers' strategy establishments. The data was retrieved from multi-household sales transacted in Changwon City. Through empirical analysis, this paper found that prices were high in Euichang-gu and Seongsan-gu, and meaningful variables in terms of locations were distance from major trade areas(-), distance from main streets(-), and Corner site(+). Meaningful variables related to household characteristics were total floor area(+), Studio type(+), Southern exposure(+), Building age(-), and Full-furnished(+).

다가구주택은 수익형부동산으로 활용되고 있는 주택의 유형들 중 상대적으로 적은 금액으로 투자가 가능하고 소유주가 직접 거주하며 임대수익을 누릴 수 있다. 본 연구에서는 아파트에 비해 상대적으로 연구가 미진했던 주택 유형 중 하나인 다가구주택의 매매가격에 영향을 미치는 요인에 대한 분석을 통하여 다가구주택의 실수요자와 투자자의 매수 의사결정 및 디벨로퍼의 개발전략 수립 시 시사점을 제공하고자 하였다. 실증분석을 위해 경상남도 창원시에서 2016년에서 2018년 사이에 거래된 다가구주택 매매사례 299개를 구득하여 헤도닉 가격모형을 활용하여 분석하였다. 종속변수는 다가구주택의 연면 적당 매매가격으로 선정하였으며, 독립변수는 지역특성, 입지특성, 주택특성 및 시기더미로 구분하여 설정하였다. 실증분석 결과 지역적으로는 의창구과 성산구 지역의 가격이 높았고, 입지특성에서 유의한 변수로는 '주요상권과의 거리(-)', '대로 및 광로와의 거리(-)', '도로 2면 접면 여부(+)'인 것으로 나타났다. 주택특성의 변수들 중에서는 '연면적(+)', '원룸형 여부(+)', '남향여부(+)', '경과연수(-)', '옵션제공여부(+)'가 매매가격에 유의한 영향을 미치는 것으로 나타났다.

Keywords

Table 2. Housing Distribution Rate of Changwon City

OHHGBW_2019_v10n3_193_t0001.png 이미지

Table 3. Distribution of the Sample

OHHGBW_2019_v10n3_193_t0002.png 이미지

Table 4. Description of Variables

OHHGBW_2019_v10n3_193_t0003.png 이미지

Table 5. Descriptive Statistics

OHHGBW_2019_v10n3_193_t0004.png 이미지

Table 6. Estimated OLS Results

OHHGBW_2019_v10n3_193_t0005.png 이미지

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