A survey of senior building sector executives on the feasibility of implementing energy efficiency measures across their sector in China, Europe, India and the U.S. 

Briefing

A survey of senior building sector executives on the feasibility of implementing energy efficiency measures across their sector in China, Europe, India and the U.S. 

Highlights

A survey of senior building sector executives on the feasibility of implementing energy efficiency measures across their sector in China, Europe, India and the U.S. 

Case Study

A survey of senior building sector executives on the feasibility of implementing energy efficiency measures across their sector in China, Europe, India and the U.S. 

Many recent major studies, including the IPCC’s Fourth Assessment Report, have attested that energy efficiency is humanity’s prime option to combat climate change in the short- to mid-term. The potential to avoid CO2 emissions cost-effectively has been reported to be significant through efficiency policies. However, the review of global research findings on the quantification of cost-effectiveness of opportunities through improved efficiency has highlighted that there is a major shortcoming in the vast majority of such calculations.

An overview of climate change mitigation opportunities in the world's buildings is presented, based on the key building-specific findings of the Fourth Assessment Report from the Intergovernmental Panel of Climate Change. Buildings and the building stock can play a major role in mitigating climate change in the short- to medium-term, since substantial reductions in CO2 emissions from their energy use can be achieved over the coming years.

This paper presents a comprehensive literature review of what drives the adoption of green building (GB) practices among construction stakeholders. The review is based on literature that have been published in peer-reviewed journals. Through a systematic review of the literature, authors are able to identify generic drivers for stakeholders to pursue GB. A total of 64 drivers were identified from reviewing 42 selected empirical studies. The paper presents a classification framework for the GB drivers.