비수도권 아파트 가격 및 전세가 결정 요인 분석

• 영문명: An Analysis on Determinant Factor of Apartments Price and Jeonse Price in Gwangju, Daejeon, Daegu, Busan
• 발행기관: 한국주거환경학회
• 저자명: 변세일(Byeon, Se hil) 고영화(Go, Young hwa) 최진도(Choi, Jin do)
• 간행물 정보: 『주거환경(한국주거환경학회논문집)』住居環境 제17권 제4호 (통권 제46호), 109~126쪽, 전체 18쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2019.12.31

영문 초록

This study aims to analyse the determinant factor of apartments price and jeonse price in Gwangju, Daejeon, Daegu, Busan using various prediction models which consider spatial dependence among apartments price data. This study employs the dataset of apartment complexes price in Gwangju(716), Daejeon(426), Daegu(844), Busan(1,116) in 2017 for empirical comparison and 5 different prediction models such as Ordinary Least Square, Spatial Lag Model, Spatial Error Model, Geographically Weighted Regression, Geographically Generalized additive model. After empirical analysis, we come to the following conclusions. The larger the average area of building, the higher the total number of apartments, apartments those constructed by the construction company in the top 30, the better the educational environment, the higher the apartment prices. The closer to the convenience facilities such as parks, libraries, subways, banks and bus stops, the higher the apartment prices. The closer to social welfare facilities, inns, forests and cemeteries, the lower the apartment prices. However, the detailed results differed by city. We expect other research related housing price prediction will be considered both spatial dependence and non-linearity of a hedonic function to improve the performance of prediction.

목차

Ⅰ. 서 론

Ⅱ. 분석방법론 및 자료 구축방법

Ⅲ. 분석결과

Ⅳ. 결론 및 연구의 한계

키워드

지리적 가법모형 공간계량경제모형 지리적 가중회귀 모형 헤도닉 가격모형 아파트 가격 Geographically General Addictive Model(GGAM) Spatial Econometrics Geographically Weighted Regression(GWR) Hedonic Price Model Apartments Price