소음의 외부효과는 현대사회에서 흔히 발견되는 문제라고 할 수 있다. 소음은 재산적 피해와 같은 외부효과를 발생시키며, 따라서 소음으로 인한 재산피해를 평가하고 효과적 해결책을 찾아내는 연구는 매우 중요하다고 할 수 있다. 분석결과는 통계적 유의성이 있으며, 소음이 재산적 가치에 부정적 효과가 있음을 보여 주고 있다. 모형의 주요 결과로는 소음 단위(데시빌)당 피해액이 추정(5,000 달러*로그(dB))되었고, 추정된 소음피해함수(잠재가격함수)는 소음의 한계효과가 감소함을 나타내고 있다.
Land price can be affected by convenience or psychological repulsion like PIMFY (Please In My Front Yard) or NIMBY (Not In My Back Yard) for various facilities. Services related to public establishment, welfare, medical attention, and amenities in rural areas are comparatively poorer than those in urban areas. The purpose of this study is to estimate the implications of the accessibility to community facilities in rural areas for land prices using a hedonic price model. The accessibility to facilities is estimated by real road distances and the land prices are applied for four types of land usages: field, rice paddy, building lots, and village halls. Community facilities are classified from public and community services view: education, safety, culture, transport, environment, health care, and finance. The results show that the accessibility to health care and transport can positively affect land prices and the accessibility to environment (waste facilities and junkyard) and unpleasant services (funeral hall and charnel house) can negatively affect land prices. Especially, the accessibility to hospital is the most positive influential factor for all types of land usages.
Land prices reflect not only the uses of land, but the potential uses as well(Plantinga, 2002) so land values can be applied to very effective indices for deciding regional status and growing potential. The purpose of this study is to deduce determinant factors of regional land prices. Principal determinants of regional land prices are analyzed with a hedonic technique and spatial econometric models based on 2001 statistic data of Korea except large cities. The results provide the followings. 1. The spatial effect of rural regions are very little with adjacent regions. 2. The common index of land price is population density and other determinant factors are different depending on land uses.