Multiple Linear Regression Analysis on Green Building Prices: A Case Study on Green Building Dataset in Kuala Lumpur District, Malaysia

Abstract:

Green Building (GB) is the act of building structures and utilizing procedures that are wholly virtuous and productive throughout the building's life cycle, from its arrangement to outlining, building, operation, maintenance, remodeling and dismantling. However, in Malaysia, despite having several world-class GBs being built in the recent years, the idea of GB is only common in the early stages. Besides, the spillover influence of GB has yet to be discovered due to the limited case studies in this regard. This paper attempts to seek the experimental factors that may influence the prices of green building. The empirical experiment was conducted to test the Multiple Regression Analysis (MRA) model to study the relationships between the dependent variables (transaction prices) and the independent variables (features). The empirical experiment was based on a GB dataset categorized as Platinum, Gold, Silver, and Certified in Kuala Lumpur District, Malaysia. The results revealed that the features of lot area, security of building, Mukim – Kuala Lumpur, green certificate – gold, tenure, Mukim – Setapak, building facade, green certificate – silver, age of building and level of property unit made statistically significant contributions. This means that all these features contributed and played important roles in transaction prices.

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