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Reports

3 result(s) found

Policy for low carbon (energy efficiency) retrofit/renovation of residential buildings

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English
Authors:
Peter Graham, Barbara Bok, Jinlong Liu, Michelle Zwagerman, Craig Burton

This rapid review identified two results extracted from the eight studies (published between 2013 and 2018) that fulfilled our inclusion criteria. Firstly, our analysis identified five common themes across the included studies which provide tentative information for what would be needed to make low carbon residential retrofit/renovation policy work. Secondly, we make an overall observation that the included studies did not provide sufficient evidence or establish conclusive results about the effectiveness of specific low carbon policies compared to other policies.

Scoping review to understand the potential for public health impacts of transitioning to lower carbon emission technologies and policies

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English
Authors:
Rachel Tham, Geoff Morgan, Shyamali Dharmage, Guy Marks, Christine Cowie

Background: The transformation of the global energy sector from fossil-based fuels to low/non-carbon fuels will reduce environmental pollutant load, which in turn will benefit human health. However, with upscaling of emerging renewable technologies and energy sources, it is important to identify the potential for unintended health impacts, and to understand where the knowledge gaps lie with respect to health. We aimed to identify these gaps by conducting a scoping review. Methods: We conducted a systematic search of Medline, Web of Science, PubMed and EMBASE.

Drivers for green building: A review of empirical studies

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English
Authors:
Amos Darko,
Chenzhuo Zhang,
Albert P.C. Chan

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.

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