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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Universiti Teknologi MARA, Perak
2020
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my.uitm.ir.550272022-02-16T06:58:55Z https://ir.uitm.edu.my/id/eprint/55027/ Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom Jamil, Nur Syafiqah Mohd, Thuraiya Masrom, Suraya Sustainable architecture Malaysia Selangor 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. Universiti Teknologi MARA, Perak 2020-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/55027/1/55027.pdf ID55027 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 http://www.myse.my/ |
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Sustainable architecture Malaysia Selangor Jamil, Nur Syafiqah Mohd, Thuraiya Masrom, Suraya Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom |
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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. |
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Jamil, Nur Syafiqah Mohd, Thuraiya Masrom, Suraya |
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Jamil, Nur Syafiqah Mohd, Thuraiya Masrom, Suraya |
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Jamil, Nur Syafiqah |
title |
Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom |
title_short |
Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom |
title_full |
Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom |
title_fullStr |
Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom |
title_full_unstemmed |
Determining significant factors affecting green building price using multiple regression analysis / Nur Syafiqah Jamil, Thuraiya Mohd and Suraya Masrom |
title_sort |
determining significant factors affecting green building price using multiple regression analysis / nur syafiqah jamil, thuraiya mohd and suraya masrom |
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Universiti Teknologi MARA, Perak |
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2020 |
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https://ir.uitm.edu.my/id/eprint/55027/1/55027.pdf https://ir.uitm.edu.my/id/eprint/55027/ http://www.myse.my/ |
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