A Positive Analysis of Housing Price Model in Seoul: Applications of Structural Equation Modeling

  • Kim, Kyong-Hoon (Dept. of Sustainable Architectural Engineering, Hanyang Univ.) ;
  • Lee, Yoon-Sun (Sustainable Architectural Professional Education Center, Hanyang Univ.) ;
  • Ahn, Byung-Ju (Dept. of Architectural Engineering, Jeonju University) ;
  • Kim, Jae-Jun (Dept. of Sustainable Architectural Engineering, Hanyang Univ.)
  • Received : 2007.03.26
  • Published : 2007.12.30

Abstract

Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of apartment price between the north and south of the Han river. Because the housing price is decided by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. The purpose of study was to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy. In this study, we analyzed the differences of housing price determinants about apartment developments between the north and south of the Han river, and found the important factors that affect the housing price using Structural Equation Modeling(SEM). As a result of this study, the older the buildings are, the more the housing price and the housing price rising ratio have increased, in Gang Nam area. This reason is that these have large possibility to be reconstructed and many convenient facilities, in this area. In the case of Kang Buk area, the increase rate of housing price are so low that they couldn't take effect on the housing price and they were declined. So to speak, constructing the infrastructure which takes effect on the increase rate of housing price is very urgent.

Keywords

References

  1. W.David Salisury. (2001). 'Perceived security and World Wide Web purchase intention'. Industrial management & data Systems. 165-176
  2. PRATIBHA A. DABHOLKAR. (2000). 'A Comprehensive Framework for Service Quality: An Investigation of Critical Conceptual and Measurement Issues Through a Longitudinal Study'. Int. J. of Solids and Struct., 24(3), 231-250
  3. Statistics Web-site: http://www.nso.go.kr
  4. Real Estate Web-site: http://www.r114.co.kr
  5. Joung, You Jin. (2002).'An Empirical Analysis of Housing Price Determinants between Old and New Residential Area in Seoul'. Hanyang University
  6. Kim, Sang Kyun. (2001).'Estimation of Residential location Demand Based on the Modified Potential Model Incorporating both Employment and Open-Space Accessibility'. Hanyang University
  7. Mike Fletcher. (2004). 'Comparing Hedonic Models for estimating and Forecasting house prices'. Property Management Vol.22 No. 3. 189-200 https://doi.org/10.1108/02637470410544986
  8. Aurelia Bengochea Morancho. (2003). 'A hedonic valuation of urban green areas'. Landscape and Urban Planning 66. 35-41 https://doi.org/10.1016/S0169-2046(03)00093-8
  9. Min Hwang. (2006). 'The Dividend Pricing Model: New Evidence From the Korean Housing Market'. J Real Estate Finan Econ 32. 205-228 https://doi.org/10.1007/s11146-006-6798-3
  10. Young-nam Jin. (2005) 'Education and Housing Prices: Evidence from Seoul Apartment Market'. Housing Studies Rewiew Vol. 13. 125-148
  11. Shin, Woo-Jin. (2001). 'A Study on the Changing Patterns of the Commercial Power based on Retail Trade Area Analysis'. Real Estate Research Vol. 8. 1-11
  12. Hwang, Eui-Jin. (2006). 'Analysis the Land Cover Class using Satellite Images'. Journal of the Institute of Construction Technology Vol. 25. 131-141
  13. Myung-Hee Jo. (1999). 'A Spatial Change Analysis of Water Quality Pollutant using GIS and Satellite Image'. The Korean Association of Geographic Information Studies Vol.2. 60-70
  14. Joseph F. Hair Jr, Rolph E. Anderson, Ronald L. Tatham, and William C. Black. 'Multivariate data analysis'. 5th edition, Prentice-Hall International, Inc.
  15. L.S. Bourne. 'The Geography of Housing'. A Halsted Press Book, V.H. Winston & Sons
  16. Kang, Suk-Ju. (2005). 'A comparative Study on the Valuation of Urban Residential Environment within Housing Prices' Hanyang University
  17. Joke Luttik. (2000). 'The value of trees, water and open space as reflected by house prices in the Netherlands'. Landscape and Urban Planning 161-167
  18. DAVID A. MACPHIRSON. (2001). 'Neighborhood Diversity and House-Price Appreciation'. Journal of Real Estate Finance and Economics, 22:1, 81-97 https://doi.org/10.1023/A:1007831410843
  19. Chiris Leishman. (2002). 'Estimating local repeat sales house price indices for British cities'. Journal of Property Investment & Finance, Vol. 20 No. 1. 36-58 https://doi.org/10.1108/14635780210416255