Journal of Korean Society for Geospatial Information Science (대한공간정보학회지)

Korea Spatial Information Society (대한공간정보학회)
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An Analysis on the Change Factors and the Spatial Pattern of the Housing Market Structure

주택시장의 구조변화요인과 공간적 패턴 분석

  • 김정희 (남서울대학교 GIS공학과)
  • Received : 2015.01.23
  • Accepted : 2015.02.17
  • Published : 2015.03.31
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Abstract

The housing market is transformed by a variety of socio-economic characteristics, also appeared differently according to regional characteristics. This study aims to draw out the change factors influencing on the housing market structure and to analyze the drawn factors' distribution pattern by area. For this purpose, First, targeting 251 areas in the units of city, county and districts nationwide, this study drew out demographic, socio-economic variables influencing on the housing market structure for 5 years ranging 2005 to 2010. For that, the factor analysis was conducted. Second, this study grasped the change factors of the housing market structure's spatial patterns using the kriging method, a spatial statistical method. Third, this study used the Moran I, one of spatial autocorrelation analysis methods in order to grasp whether the factors had statistically significant concentration or dispersion or showed a random distribution pattern.

주택시장은 다양한 사회 경제적 특성에 의해 변화하며, 지역별 특성에 따라서도 상이하게 나타난다. 본 연구는 지역별 주택시장의 구조변화요인을 추출하고, 추출된 요인의 지역별 분포패턴을 분석하는데 목적이 있다. 이를 위해 첫째, 전국 251개 시 군 구 단위지역을 대상으로 2005~2010년의 5년간의 주택시장에 영향을 미치는 인구 사회 경제적 변수를 추출하였다. 이를 위해 인자분석을 실시하였다. 둘째, 공간통계인 크리깅기법을 이용하여 주택시장의 구조변화요인의 공간적 분포패턴을 파악하였다. 셋째, 통계적으로 유의미하게 집중 또는 분산되는 것인지, 아니면 무작위분포패턴을 보이는지의 여부를 파악하기 위해 공간적 자기상관 분석기법 중의 하나인 Moran I를 사용하였다.

Keywords

References

  1. Baek, Y. H., 2009, A Study of silver housing market trend for penetration of aging society, Master's Thesis,, Technology Graduate School of Housing Seoul National University.
  2. Choi, S. H. and Lee, C. M., 2009, Interpretations of structural relationships among sales, chonsei, and monthly rent markets, Housing Research, Vol. 17, No. 4, pp. 183-206.
  3. Getis, A., Mur, J. and Zoller, G. H.(eds.), 2004, Spatial econometrics and spatial statistics, Palgrave Macmillan, New York.
  4. Kim, G. G., Song, H. C. and Lee, J. H., 2010, A study on the determinants of the change rate of housing price by areas, Real Estate Review, Vol. 3, No. 1, pp. 101-115.
  5. Kim, J. H., 2014, Analysis of pattern change of real transaction price of apartment in Seoul, Journal of the Korean Society for Geospatial Information System, Vol. 22, No. 1, pp. 63-70. https://doi.org/10.7319/KOGSIS.2014.22.1.063
  6. Kim, K. H., 2011, A study on the effect of aging society on housing volume, Master's Thesis, Graduate School of Policy Studies Korea University.
  7. Kim, M. J. and Chun, H. J., 2014, A study on the effect of the aging population on the housing market, Journal of Architectural Institute of Korea, Vol. 30, No. 5, pp. 27-34. https://doi.org/10.5659/JAIK_PD.2014.30.5.027
  8. Kim, T. G., Kwon, D. H and Jung, Jie, 2007, A study on regional factors affecting housing market prices, Gyeonggi Research Institute.
  9. Kim, Y. D., 2008, A study on reform measures for the housing policies in preparation for an aged society, Master's Thesis, Graduate School Hanyang University.
  10. M., Norman and P., Liang, 2006, "Exploring metropolitan housing price volatility," Journal of Real Estate Finance and Economics, Vol. 33, No. 1, pp. 5-18. https://doi.org/10.1007/s11146-006-8271-8
  11. Ok, J. K., 2009, Change of the housing market on the changes of population, Master's Thesis, Graduate School of Public Administraion Dong-Eui University.
  12. Sohn, J. I., 2006, A study on housing demand policy of forecasting population, Ph.D Thesis, Graduate School of Kyungwon University.
  13. http://kosis.go.kr
  14. http://land.kbstar.com
  15. http://www.onnara.go.kr