| dc.description.abstract | At the 2015 COP21 Paris Agreement, Canada restated its commitment to a 2030 target of a 30%
reduction from 2005 level emissions as an Intended Nationally Determined Contribution (INDC).
At this agreement, nations in attendance submitted INDC’s with the goal of limiting global
temperature increase to 2 degrees above pre-industrial times, and a further goal of limiting
warming to 1.5 degrees (Government of Canada, 2016). However, even if every nation reaches
their INDC target the global temperature increase will still far exceed the 2-degree target
(UNEP, 2017). In recent history, it has been the provinces that have taken the first steps
towards action against climate change. Despite this, provincial “goals”1 in aggregate will fall
short of Canada’s 2030 INDC (Boothe and Boudreault, 2016a). The objective of this paper is to
use multiple burden sharing rules to allocate reduction targets which cumulatively meet
Canada’s 2030 INDC as well as a 2-degree ‘fair share’ target. The burden sharing rules of
grandfathering, efficiency, and ability to pay are incorporated into a multi-criterion based
weighted sum distribution model and the implication of their weightings are examined through
a sensitivity analysis. The role of Alberta in meeting Canada’s INDC is explored by comparing the
average required reduction allocated per province when Alberta is a part of the model’s
allocations and when Alberta’s reductions are equal to their provincial goal. The allocations
given under this model were shown to have several desirable qualities, and the results may be
used to help guide further research into the use of burden sharing rules in assigning provincial
reduction targets or allocations for a cap and trade program.
Key Words: Emissions Allocations, Climate Policy, Burden Sharing, Multi-Criteria Decision Analysis | en_US |
