The built environment has been identified as one of the cost effective platforms for reducing energy demand and greenhouse gas emissions. With policies and the know-how in existence, the real estate sector has already adopted measures such as building codes and energy efficiency labels to drive prices and spur demand with the objective of increasing the demand for energy efficient buildings. Since 2008, many studies have emerged estimating the price premium that is expected to be associated with energy efficient buildings. Evidence from such studies has so far been mixed. We use a meta-regression approach to identify some of the underlying drivers causing the variation. Our results reveal that energy efficiency is highly valued in the sales market and the non-residential sector. We also observed that Europe values energy efficiency over the US possible due to their relative strengths of their energy efficiency policies as revealed on the international energy efficiency rankings. Labels with categorical scales have a weak impact on the value of energy efficiency labels while the effects of regulation by voluntary strategies tend to decline with time, with the effect lasting over a period of thirteen years. These are vital information for policy issues in achieving significant cuts in greenhouse gas emissions.
energy efficiency premium meta-analysis multilevel model value transfer valuation