Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom

Jamil, Nur Syafiqah and Mohd, Thuraiya and Masrom, Suraya (2020) Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom. Malaysian Journal of Sustainable Environment (MySE), 7 (2). pp. 65-94. ISSN 0128-326X

Official URL: http://www.myse.my/

Abstract

The green building (GB) can be defined as the method of increasing the efficiency of the building and site. However, the spillover effect of GB price in Malaysia has not widely been discovered as there are limited case studies on this issue. This paper attempts to determine the significant factors that influence the GB price. The empirical experiment has been conducted to test the Multiple Regression Analysis (MRA) model on a real dataset of house prices in the area of Klang Valley, Selangor with GB specifications. The result showed that factors related to tenure have significant contributions to the GB price.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Jamil, Nur Syafiqah
shafiqahjamil1995@gmail.com
Mohd, Thuraiya
thura231@uitm.edu.my
Masrom, Suraya
suray078@uitm.edu.my
Subjects: N Fine Arts > NA Architecture > Sustainable architecture
N Fine Arts > NA Architecture > Sustainable architecture > Malaysia
N Fine Arts > NA Architecture > Sustainable architecture > Malaysia > Selangor
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: Malaysian Journal of Sustainable Environment (MySE)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Sustainable Environment (MySE)
ISSN: 0128-326X
Volume: 7
Number: 2
Page Range: pp. 65-94
Keywords: Green Building Certificated; Green Building Index; Multiple Linear Regression (MLR); House Price
Date: December 2020
URI: https://ir.uitm.edu.my/id/eprint/55027
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