녹색건축인증제가 오피스시장에 미치는 영향분석
Analysis of the Impact of G-SEED on Office Rent Market
Analysis of the Impact of G-SEED on Office Rent Market
저자 김지현, 강병록, 김지현kim, Ji Hyun소속한양사이버대학교, (주)고려건축설계건축사사무소
학술지정보 부동산학보 KCI
발행정보 한국부동산학회 2013년
자료제공처 교보문고 한국연구재단
주제분야 사회과학 > 지역/지리
<초록>
1. CONTENTS (1) RESEARCH OBJECTIVES The objective of this study is to investigate the impact of green buildings on office rent market. A green building, for the purpose of this paper, refers to any building that meets the high standards set forth in Korean government’s Green Standard for Energy and Environmental Design(G-SEED). (2) RESEARCH METHOD The research method of this study is a multiple regression analysis. We have applied both semi-log regression function and double-log regression function both of which take dummy estimates of rent discrepancy between G-SEED office buildings and non G-SEED office buildings. The dataset was developed by combining information from real estate research centers and a G-SEED appraisal. (3) RESEARCH FINDINGS The results of multiple regression analysis reveal that statistically significant difference was found between office rent for G-SEED office buildings and non G-SEED office buildings. In other words, the G-SEED has strong positive effect on office rent as property’s characteristics and its location have. 2. RESULTS This study shows that office rent market has already given higher value on green building by increasing office rent. We have concluded that G-SEED buildings have been considered as economically and environmentally superior buildings in the office market.
1. CONTENTS (1) RESEARCH OBJECTIVES The objective of this study is to investigate the impact of green buildings on office rent market. A green building, for the purpose of this paper, refers to any building that meets the high standards set forth in Korean government's Green Standard for Energy and Environmental Design(G-SEED). (2) RESEARCH METHOD The research method of this study is a multiple regression analysis. We have applied both semi-log regression function and double-log regression function both of which take dummy estimates of rent discrepancy between G-SEED office buildings and non G-SEED office buildings. The dataset was developed by combining information from real estate research centers and a G-SEED appraisal. (3) RESEARCH FINDINGS The results of multiple regression analysis reveal that statistically significant difference was found between office rent for G-SEED office buildings and non G-SEED office buildings. In other words. the G-SEED has strong positive effect on office rent as property's characteristics and its location have. 2. RESULTS This study shows that office rent market has already given higher value on green building by increasing office rent. We have concluded that G-SEED buildings have been considered as economically and environmentally superior buildings in the office market.
<목차>
Ⅰ. 서론
Ⅱ. 이론적 고찰
Ⅲ. 자료와 변수
Ⅳ. 실증분석결과
Ⅴ. 결론
參考文獻
녹색건축인증 조성법' 및 '건물에너지 소비증명제'가 의무화되어 시행되고 있습니다.
저희 (주)한국녹색인증원은 '지속가능한 저탄소 녹색건축인증 기술연구소'의 전문기업으로 설립되어, 빠른 제도 변화와 변모하는 건설환경에 이바지하고자 합니다. (주))한국녹색인증원은 건축, 도시, 생태분야가 녹색건축물에 접목될 수 있도록 적절한 요소분석을 통해 에너지 절감형 건축, 자생적 생태환경, 온열환경, 빛환경의 면밀한 조사와 연구로 고객의 삶의 질 향상 및 더 나아가 인류의 존속성에 그 목적을 두고 있습니다. 한국녹색인증원은 친환경컨설팅 전문업체로 주택성능등급, 그린홈, 에너지소비총량제, 에너지성능지표검토서, 건물에너지효율등급, 장수명주택인증, CPTED, BF 인증 등 각종 친환경 건축물 인증 을 컨설팅 해드리고 있습니다. 녹색건축인증 의 선도기업이 되겠습니다.
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