This paper aims to find the most effective measures on carbon emission reduction of buildings via analysis on contributing factors of it. Based on the STIRPAT model and ridge regression analysis, we quantitatively analyzed the factors that influenced the carbon emission of public and residential buildings in Guangzhou during the period from 2006 to 2014. We also quantitatively evaluated diverse measures on carbon emission reduction from the micro perspective.The results revealed that, for carbon emission of public buildings, public building area and the added value of the tertiary industry contributed the most, while permanent population and the unit consumption of public gross area affected relatively less. For carbon emission of residential buildings, the permanent population and residential construction area impacted the most, followed by residential unit consumption. However, the level of residential consumption contributed less. In2030, renewing of external windows and exterior wall, utilities of LED lights and building intelligent control systems for public buildings in Guangzhou will reduce emission of 5.12 million tCO2 e. External window filming, exterior wall renewing, utilities of LED lights and solar water heaters for residential buildings will reduce emission of 1.27 million tCO2 e.
emission reduction potential