Porporino, Orenzo ORCID: https://orcid.org/0009-0005-4320-1448
(2024)
Exploring the Potential Trade-Offs of Canada’s Participation in a Global Emissions Trading System Using A Multi-Sector, Multi-Region CGE Model.
Masters thesis, Concordia University.
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Abstract
Like many nations, Canada faces challenges stemming from climate change. Therefore, it aims to reduce overall emissions, measured in megatonnes of CO2 equivalents (MTCO2eq), by 40-45%, relative to 2005 levels by 2030 and achieve net zero emissions by 2050. This paper introduces Environment and Climate Change Canada’s Multi-Sector, Multi-Region (EC-MSMR) recursive dynamic computable general equilibrium (CGE) model, capable of evaluating multiple pathways to reaching emissions-based targets using market-based policies. CGE models capture direct and indirect effects in response to a policy change, making them excellent tools for evaluating economy-wide environmental policies. The EC-MSMR model delivers granular insights into Canada’s emissions and economic activity on the global stage by incorporating data from seventeen aggregated regions and twenty-three commodity-producing sectors, along with three final demand sectors: Consumption, Investment, and Government Spending. With this model, this paper analyzes Canada’s participation in a global Emissions Trading System (ETS) with perfect commitment versus a domestic carbon pricing schedule that adjusts itself to the shadow price that achieves the 2030 target. Results indicate that participating in a global ETS provides slightly greater economic growth and welfare while reducing reliance on fossil fuels to domestic carbon pricing alone. Although both policy experiments meet Canada’s 2030 target, both scenarios experience lower GDP and welfare outcomes than a baseline consisting solely of existing policies and no additional action.
Divisions: | Concordia University > Faculty of Arts and Science > Economics |
---|---|
Item Type: | Thesis (Masters) |
Authors: | Porporino, Orenzo |
Institution: | Concordia University |
Degree Name: | M.A. |
Program: | Economics |
Date: | December 2024 |
Thesis Supervisor(s): | Koreshkova, Tatyana |
Keywords: | Economics, Computable General Equilibrium, CGE, Modelling, Emissions Trading, ETS, Cap and Trade, Carbon Pricing |
ID Code: | 994868 |
Deposited By: | ORENZO PORPORINO |
Deposited On: | 17 Jun 2025 17:07 |
Last Modified: | 17 Jun 2025 17:07 |
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