초록 열기/닫기 버튼
This paper aims at knowing the impact of trade-area economy on retail property rent within the densely populated area of Seoul city using the statistic data mining analysis. To achieve the main objectives of this study, the statistical retail rent model was tested after selecting significant variables affecting rent between landlord and renter in the traditional way of negotiation process in Korea.The major findings are as follows; Firstly, there is a high correlation between monthly rent and business premium from utilizing the rented commercial property. It reveals that the higher the premium has the higher the rent in the densely populated commercial area of Seoul city. The premium in Korea can be interpreted as another additional monetary term of traded-area economy or agglomeration effects. It may be accrued from 10 monopoly power of shop popularity from successful management. 2) franchise contract business, 3) better facilities including suitable interior and advertisement, and 4) location attractiveness. Secondly, 10 variables out of 37 related commercial property rents are selected by adjustment coefficient of determinant residual mean square and total square methods. These variables affecting trade-area economy were premium. Key money, number of houses, number of service sector employees, number of industrial firms, food and lodging density, and high building ratio within the traded- area. The analysis shows that premium and number of industrial firm variable within the traded-area have highly affected monthly rent at the statistically significant level with the reliable model in the densely populated Seoul city.중요어: 상가임대료, 상권Retail Rent, Retail Trade Area
