공공데이터를 활용한 점포와 오피스텔 가격결정요인 분석

Analysis on Factors of Price Decision for Shop & Office-tel Utilizing Public Data

This study prepares a hedonic price model estimating shops (commercial buildings) and office-tels by utilizing public data and tries to contribute to the advancement of the public announcement system for non-dwelling buildings by analyzing how various factors of price decision have influenced the price. We have extracted necessary information from public ‘big data’ (standard market price by National Tax service, Information on Registered Building Data, Land Characteristics Information of Public Land Price) by applying the analysis results of advanced research, establishing a research model and research hypothesis, and operationalizing variables. In order to prove the research hypothesis, we have prepared 12 hedonic price models for shops and office-tels in total. As the result of research, it has been shown that public individual land prices and the existence of a first (ground) floor, out of 17 independent variables, have had the greatest influence on the shop price of the first (ground) floor, while the year of use approval has been a moderately influential. On the other hand, it has been shown that as for the shop price of the basement, public individual land price and the number of stories are the most influential, while the influence of the year for use approval was the third most important variable. However, it has been found that the public individual land price has had the greatest influence on the price of office-tels, whereas the year of use approval or floor area ratio has been comparatively influential.