주택지가 변화와 요인분석

• 영문명: Changes in Urban Land Price for Housing Sites : 1973 - 1987
• 발행기관: 한국지역개발학회
• 저자명: 홍기용(Hong KiYong)
• 간행물 정보: 『한국지역개발학회지』제1권, 3~11쪽, 전체 9쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 1989.04.30

영문 초록

The general trend toward high rates of land price increases for hausing sites is a common phenomenon for almost all urban areas in Korea. Many factors affect land price, including changes in economic growth, inflation rates, population increases, urban development plans, etc. This study attempts to identify the trend and the major factors affecting the clanging urban land prices for housing sites. Thirty two cities throughout the country were selected. Major data collected by the Official Land Evaluators during 1973-1987, were employed to be analyzed. The variables applied to the regression model were population density, the availability of housing sites and the degree of monetary supply. The major findings can be summarized as follows; 1. The rate of land prices during 1973-1987 were increased by 1,112% in general but 2,135% in Seoul City. This represents a more than two fold increase compared to the consumer price index and the bank rate. The research model shoes that the variable of monetary expansion affects the land price increase more than the consumer price index. 2. The Central and South-East planning regions have relatively higher increas in the land price compared to other regions. It seems that, the high demand for land due to concentration of industries and poputation in the regions, during the surveyed period, cause the land price to increase dramatically. 3. The increase rate for land prices for housing sites reveals a relatively higher rate in medium sized urban areas than bigger cities. This leads to an accelerated increased rate, not only due to the low initial land price in the medium sized cities, but also to a higher potential for growth. The research shows the land price cycle to be four to five years, related to national election events and a high monetary supply. 4. The relationship between population density and the land price has a high correlation. The more recent the years, the higher the correlation coefficient between them, pointing to the fact that the suggested model is a relatively high fit.