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

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 t...

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Main Authors: Jamil, Nur Syafiqah (Author), Mohd, Thuraiya (Author), Masrom, Suraya (Author)
Format: Book
Published: Universiti Teknologi MARA, Perak, 2020-12.
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100 1 0 |a Jamil, Nur Syafiqah  |e author 
700 1 0 |a Mohd, Thuraiya  |e author 
700 1 0 |a Masrom, Suraya  |e author 
245 0 0 |a Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom 
260 |b Universiti Teknologi MARA, Perak,   |c 2020-12. 
500 |a https://ir.uitm.edu.my/id/eprint/55027/1/55027.pdf 
520 |a 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. 
546 |a en 
690 |a Sustainable architecture 
690 |a Malaysia 
690 |a Selangor 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/55027/ 
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