Abstract

This study has analyzed the characteristics of housing purchase burden by housing type in Busan, using house affordability index(HAI). This study's time scope is from January 2012 to December 2021, and the spatial scope selected four metropolitan areas: Busan, Ulsan, Seoul, Incheon. The research method and empirical analysis results are as follows.
 First, after calculating HAI among three housing types (apartment, multi-family house, and single-family house), this study conducted a one-way ANOVA to compare the results at the level of metropolitan areas. The results showed that the purchase burden of apartments was in the order of Seoul, Busan, Incheon, and Ulsan, whereas that of multi-family houses was in the order of Seoul, Busan, Ulsan, and Incheon. Finally, the purchase burden of single-family houses was in the order of Seoul, Ulsan, Busan, and Incheon.
 Second, spatial autocorrelation analysis was conducted using Busan’s HAI data for all housing types in 2021. The test results from Moran's I showed that HAI of apartments and single-family houses had similar spatial autocorrelation level compared with those of surrounding area, whereas HAI and PIR of multi-family houses showed contrasting spatial autocorrelation level with those of surrounding area.
 Third, the results of LISA showed that Dongnae-gu and Suyeong-gu were the H-H areas (Hot Spot) for apartments. In contrast, Seo-gu and Dong-gu were the L-L areas (Cold Spot) for multi-family houses. For single-family houses, Jung-gu, Seo-gu, and Dong-gu were the L-L area, whereas Dongnae-gu, Haewoondae-gu, Yeonje-gu, and Suyeong-gu were the H-H area.

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