Endnote 2
We track climate related funding and expenditures announced in the budgets of the federal government and the four largest provincial governments (British Columbia, Alberta, Ontario and Quebec). This includes announced plans towards climate- and environment-related initiatives focused on decarbonization, innovation, energy efficiency, fuel switching, clean and low-carbon technology manufacturing and deployment, skills, re-search and planning. It also includes transfer payments, program spending, tax expenditures, and select public financing. Total expenditure amounts are equally spread over timeframe announced in the budgets. For select items, expenditure amounts are distributed over the years as prescribed in the budgets.
Endnote 3
Refer to endnote 2.
Endnote 5
Emissions intensity for the electricity sector is calculated as the sector's total GHG emissions divided by the total electricity generation in any given year. Emissions for 2024 were taken from the Canadian Climate Institute's Early Estimate of National Emissions. For 2025, we estimated emissions based on our forecasted change in electricity generation from both coal and natural gas. For information on how we forecasted the changes in electricity generation from coal and natural gas, refer to the Methodology section: Sectoral Climate Action Indices, Section D. Emissions - Electricity.
Endnote 8
Agriculture emissions intensity estimates are based on primary agriculture emissions and production out-puts, covering on-farm nitrous oxide, carbon dioxide, and methane emissions from both crop and animal production. Emissions intensity is measured by dividing primary agriculture emissions by national total on-farm outputs (i.e., crops and animals in tonnes). The data sources for the estimated emissions intensity are annual GHG emission estimates reported by Environment and Climate Change Canada in the
National GHG Inventory Report and the
National GHG Emission Projections, and annual agriculture production of crops and livestock are reported by
Statistics Canada.
Endnote 9
Transportation sector emissions consist of five major categories: (1) cars, light trucks and motorcycles, (2) bus, rail and aviation, (3) heavy-duty trucks, rail, (4) aviation and marine, and (5) other: recreational, commercial and residential. Cars, light trucks and motorcycles, and heavy-duty trucks and rail make up about 80% of the sector emissions, which we attempt to estimate based on directional trends. For other categories we apply 10-year average for 2024 and 2025. We use data from
IBIS World that provide total vehicle-kilometres driven (version published in Oct 2024), which represents “the total annual sum of kilometres driven by all motor vehicles over the calendar year.” Further, we use
2009 Canadian Vehicle Survey Summary Report published by Natural Resources Canada, which breaks down kilometres driven by vehicle type–of which around 90% are travelled by light vehicles (gross vehicle weight less than 4.5 tonnes) and ~10% by medium and heavy trucks (gross vehicle weight between 4.5 and 15 t, and gross vehicle weight of 15 t or more). Using ICE vehicle fleet sizes for passenger and medium and heavy commercial vehicles, we derived historical emissions intensity per kilometre driven. Fleet size for passenger vehicles is sourced from
Statistics Canada’s Table 23-10-0308-01, and commercial vehicle fleet size is sourced from BloombergNEF’s Long-Term Electric Vehicle Outlook 2025 dataset published in June 2025. Using the average of the derived ratio between 2021-2023, we estimate emissions for both cars, light trucks and motorcycles, and heavy-duty trucks, rail categories for 2024 and 2025. Sectoral emissions intensity is derived by ratio of total sectoral emissions and total vehicle-kilometres driven.
Endnote 10
For heavy industry, we define emissions intensity in terms of kilotonnes of emissions (CO2e) per kilotonne of industrial production across the following heavy industrial sub-sectors as stated in Canada’s National Inventory Report: mining, smelting and refining (non-ferrous metals), pulp and paper, iron and steel, cement, and chemicals and fertilizers. Annual production figures (up to 2023) per sub-sector were sourced from the
Canadian Energy and Emissions Data Centre, at Simon Fraser University, which are based on proprietary estimates as well as databases including
World Steel and the
Global Cement and Concrete Association. Annual emissions figures are sourced from the
Canadian Climate Institute’s Early Estimates of National Emissions. Emissions intensities per heavy industrial sub-sector were rolled up into a composite estimate using a weighted average, with weights corresponding to each sub-sector’s contributions to Canada’s heavy industry emissions across all stated sub-sectors.
Endnote 11
TMX Pipeline emissions are as disclosed in
TMX’s 2024 ESG report. LNG Canada Phase 1 emissions data is sourced from British Columbia’s Environmental Assessment Office (EPIC database), as detailed in the
Green-house Gas Management Technical Data Report Table 6.0-1. Total oil and gas emissions calculation is shown in greater detail in Endnote 81 and methane emissions (venting) are shown in greater detail in Endnote 84 and 85. Emissions intensity measures emissions per unit of production, compared to total emissions.
Endnote 15
Record monthly EV sales, breaking the two million mark
Endnote 27
We track climate related funding and expenditures announced in the budgets of the federal government and the four largest provincial governments (British Columbia, Alberta, Ontario and Quebec). This includes announced plans towards climate- and environment-related initiatives focused on decarbonization, innovation, energy efficiency, fuel switching, clean and low-carbon technology manufacturing and deployment, skills, re-search and planning. It also includes transfer payments, program spending, tax expenditures, and select public financing. Total expenditure amounts are equally spread over timeframe announced in the budgets. For select items, expenditure amounts are distributed over the years as prescribed in the budgets.
Endnote 29
Based on data from BloombergNEF’s
Energy Transition Investment and
Asset Finance datasets, and increased planned projects capacity between late 2023 and now, by our count, in eastern provinces using power plant level data from S&P Capital IQ.
Endnote 33
Internal RBC Social Values Survey.
Endnote 36
Bloomberg NEF. Regenerative Agriculture Dashboard, 2025.
Endnote 37
Agriculture emissions intensity estimates are based on primary agriculture emissions and production out-puts, covering on-farm nitrous oxide, carbon dioxide, and methane emissions from both crop and animal production. Emissions intensity is measured by dividing primary agriculture emissions by national total on-farm outputs (i.e., crops and animals in tonnes). The data sources for the estimated emissions intensity are annual GHG emission estimates reported by Environment and Climate Change Canada in the
National GHG Inventory Report and the
National GHG Emission Projections, and annual agriculture production of crops and livestock are reported by
Statistics Canada.
Endnote 39
The GHG National Inventory Report does not account for all climate-smart practices in agriculture. The challenge is documented in the annual NIR report with plans to address it in the coming years through improved activity data and research that informs emission factors.
Endnote 44
World Business Council for Sustainable Development. Scope 3 land-based emissions.
Endnote 45
These benefits can take several years to have real on-farm impacts and are based on peer-reviewed research including
Xing et al., 2025.
Endnote 50
The reduction in private capital inflow was based on in-house analysis of Bloomberg New Energy Finance’s Climate Tech Investment Database.
Endnote 52
Emissions reductions estimates are based on Environment and Climate Change Canada’s Greenhouse Gas Emissions projections under the 2024 Reference Case scenario.
Endnote 58
We arrived at an estimated six terawatt hours of coal-generated power through the following calculations: We sourced coal-based primary energy from Statistics Canada Table
25-10-0079-01, measured in joules up until June 30, 2025. For the second half of 2025, we took an average of the last three months of reported primary energy data (Q2 2025) and assumed the same level of energy use for H2/2025. Coal as a form of primary energy is then converted into implied electricity generation, based on historical conversion factors from 2019-2023 reported data under Table A13-1 as part of Canada’s National Inventory Report
Statistical Annex 13 Electricity Intensity. The total generation for 2025 (estimate) is then compared to the total generation for 2024 as reported under
Table 25-10-0079-01.
The emissions decline resulting from decreased coal-powered electricity generation is taken from historical emissions factors and implied coal-based generation as reported under Table A13-1 as part of
Statistical Annex 13 Electricity Intensity.
Endnote 60
Natural gas powered electricity generation is estimated based on historical monthly reported data of natural gas based primary energy through Statistics Canada
Table 25-10-0079-01, measured in Joules up until June 30, 2025. For the second half of 2025, we took the trailing 12-month average of reported primary energy data as of June 30, 2025 and compared that percentage change relative to the trailing 12-month average of reported primary energy data as of June 30, 2024. That implied per-centage increase was then applied to the total primary energy usage in 2024 to predict our value in 2025. The percentage share of total primary energy from natural gas usage within electric utilities listed under Electricity as an economic sector within the NIR and the share not attributed to electricity, i.e., used within cogeneration within the oil and gas sector (i.e., the utilities vs cogen split within reported electricity generation by class of producer) is predicted based on historical monthly generation under Statistics Canada
Table 25-10-0015-01 classified either as electric utilities and also historically based on thermal electric power generation split be-tween coal and natural gas based on historical data as denoted in Statistics Canada
Table 25-10-0084-01.
The emissions impact from the estimated increase in natural gas powered generation is based on historical conversion factors from 2019-2023 reported data under Table A13-1 as part of
Statistical Annex 13 Electricity Intensity.
Total sector emissions within electricity in 2025 are the summation of the estimated decline in emissions from coal-powered electricity generation and the increase in natural gas-powered electricity generation as detailed above. These values are then compared relative to 2005 and 2019 as disclosed under Table A13-1 as part of
Statistical Annex 13 Electricity Intensity.
Endnote 62
Emissions intensity for the electricity sector is calculated as the sector’s total GHG emissions divided by the total electricity generation in any given year. Emissions for 2024 were taken from the Canadian Climate Institute’s Early Estimate of National Emissions. For 2025, we estimated emissions based on our forecasted change in electricity generation from both coal and natural gas. For information on how we forecasted the changes in electricity generation from coal and natural gas, refer to the Methodology section: Sectoral Climate Action Indices, Section D. Emissions - Electricity.
Endnote 67
We calculated emissions decline since 2019 as a per-centage change between 2019 emissions (in kilotonnes CO2 equivalent) and 2024 emissions (in kilotonnes CO2 equivalent) as published in the Canadian Climate Institute’s
Early Estimate of National Emissions.
Endnote 70
70We define emissions intensity in terms of kilotonnes of emissions (CO2e) per kilotonne of industrial production across the following heavy industrial sub-sectors as stated in Canada’s National Inventory Report: mining, smelting and refining (non-ferrous metals), pulp and paper, iron and steel, cement, and chemicals and fertilizers. Annual production figures (up to the year 2023) per sub-sector were sourced from the Canadian Energy and Emissions Data Centre, at Simon Fraser University, which are based on proprietary estimates as well as databases including World Steel and the Global Cement and Concrete Association. Annual emissions figures are sourced from the Canadian Climate Institute’s Early Estimates of National Emissions. Emissions intensities per heavy industrial sub-sector were rolled up into a composite estimate using a weighted average, with weights corresponding to each sub-sector’s contributions to Canada’s heavy industry emissions across all stated sub-sectors.
Endnote 71
The estimate of venture capital deployed is based on in-house analysis of data from Bloomberg New Energy Finance’s Climate Tech Investment Database and considers companies whose products could directly contribute to emissions reductions in heavy industrial sub-sectors across mining, smelting and refining (non-ferrous metals), pulp and paper, iron and steel, cement, and chemicals and fertilizers.
Endnote 81
Trans Mountain Pipeline emissions data for 2024 is taken from the company’s
2024 ESG report. For 2025, we estimated TMX’s emissions based on annualization of reported volumes as disclosed by the
Canada Energy Regulator.
Endnote 82
For LNG Canada, we sourced emissions data from the operator’s submission to British Columbia’s Environmental Assessment Office (
EPIC database). Estimated emissions from LNG Canada Phases 1 and 2 are detailed in its
Greenhouse Gas Management Technical Data Report Table 6.0-1. We adjusted the disclosed emissions to reflect both the start date, June 30, 2025, and quoted capacity of 14 megatonnes in Phase 1.
Endnote 83
We used Canada Energy Regulator data for marketable produced gas volumes for 2023. For 2024 and 2025, we used the same datasets as above along with RBC Capital Markets’ fundamental supply and demand model out to 2030 for Canadian oil and gas production. For vented gas and flared gas (Bullet 2), we used data from Petrinex’s Conventional Volumetric Data Download, which provides a number of measured metrics, by month, by well for
Alberta and
Saskatchewan, with most recent data complete to August 2025, and also used facility data from the
B.C. Energy Regulator. We then used the official National Inventory Report provincial breakdown of vented and flared emissions across the oil and gas industry for historical years to calibrate gas volumes to emissions (2021-2023). Because Alberta reports its basin wide flared and venting data, we used the actual reported flaring and venting gas volumes from AER ST60b and overlaid that with the official NIR emissions from flared and vented gas in Alberta to calculate an implied emissions factor for both venting and flared gas volumes. We then used the volumes of gas flared and reported (Petrinex for Alberta and Saskatchewan, BC Energy Regulator for British Columbia) as the driver for our 2024 and 2025 predicted values. This analysis was done only for Alberta, Saskatchewan and British Columbia, which we view as representative of the entire industry as these three provinces account for 92% of total flared and 97% of vented emissions across Canada’s oil and gas sector. 84Environment and Climate Change Canada released an update on its
Path Forward for Oil and Gas Sector Meth-ane Mitigation on September 2023.
Endnote 97
EV refer to battery and plug-in hybrid electric vehicles
Endnote 100
BloombergNEF, Long-Term Electric Vehicle Outlook 2025 – Data
Endnote 101
Emissions are based on our estimate from calculations for Sectoral Climate Action indices as specified in the methodology. Historical emissions data is source from National Inventory report, and for years 2024 and 2025 are estimates based on proxies using total vehicle-kilometres and estimated ICE vehicle fleet size. Emissions intensity is defined as total sectoral emissions per vehicle-kilometre. We sourced vehicle-kilometre from
IBIS World’s projections dated Oct 2024.
Endnote 105
Statistics Canada, Table 20-10-0085-01,
New motor vehicle sales, monthly; We divided total sales volume in monetary units by total vehicle sales count to derive average sales prices.