Developing a multiple-criteria decision analysis for green economy transition: a Canadian case study |
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Authors: | Mehdi Bagheri Masood Sheikh Alivand Mohammad Alikarami Christopher A Kennedy Ganesh Doluweera |
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Institution: | 1. Department of Civil Engineering, University of Victoria, Victoria, British Columbia, Canadahttps://orcid.org/0000-0001-8119-2996;2. Department of Chemical Engineering, The University of Melbourne, Melbourne, Australiahttps://orcid.org/0000-0002-3391-914X;3. Department of Chemistry, University of Victoria, Victoria, British Columbia, Canadahttps://orcid.org/0000-0002-5315-6151;4. Department of Civil Engineering, University of Victoria, Victoria, British Columbia, Canadahttps://orcid.org/0000-0001-8812-4451;5. Canadian Energy Research Institute, Calgary, Alberta, Canadahttps://orcid.org/0000-0001-9478-4747 |
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Abstract: | ABSTRACTIdentifying planning strategies for the transition to a green economy is a formidable challenge. We proposed a novel multiple-criteria decision analysis model which can quantitatively identify the socio-economic and environmental impacts of various government and public policies. We applied the model to four practical scenarios in Canada for determining the optimal final demand that maximizes the country's GDP and employment while minimizing GHG emissions for small, short-term changes. As a result, the model suggested potential ways to simultaneously achieve a GDP growth of 2.5 billion CAD and creation of over 25,000 new jobs, and a saving of 2514 kt CO2. As per the final demand, the electrification of domestic heating and transport should be more promoted. The proposed analysis tool will provide decision-makers with the ability to explore the design and effects of policy reforms, regulatory changes, and targeted public expenditure strategies, thereby overcoming barriers towards a green economy. |
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Keywords: | Green growth multiple-criteria decision support GHG accounting environmentally-extended input-output analysis Canada |
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