South Korea Emission Factors

258 emission factors for South Korea, gathered from 4 parts of the GreenCalculus MasterBrain — CBAM embedded-emission defaults (255), carbon pricing (1), grid electricity intensity (1) and transmission and distribution losses (1) — so figures normally spread across separate reference pages sit on one. Drawn from World Bank Carbon Pricing Dashboard — compliance instruments (ETSs and carbon taxes): design, GHG coverage and price, per State and Trends of Carbon Pricing 2025, Commission Implementing Regulation (EU) 2025/2621 of 16 December 2025 laying down rules for the application of Regulation (EU) 2023/956 as regards the establishment of default values, Ember Yearly Electricity Data (2025 release) and World Bank Open Data — Indicator EG.ELC.LOSS.ZS: Electric power transmission and distribution losses (% of output) and read live from the data layer on every page build. They span 4 units of measurement, which is why the spread below is reported per unit and never blended.

Where these factors also appear

Each factor here also appears on the reference page for its own family — EU CBAM Embedded-Emission Default Values, Carbon Price Reference Values, Grid Electricity Carbon-Intensity Factors by Country and Grid Transmission & Distribution Loss Factors — where it sits alongside every other country. This page is the same data cut to one country, for when that is the question being asked.

What this group contains

Figures are computed per unit and never blended: a median across different units would be arithmetically valid and physically meaningless. 3 further units in this group have fewer than 3 factors and are counted above but not described.

What has changed

Sources, citation & machine access

Cite the upstream publisher for the values themselves. The reference below credits this compilation and, more usefully, pins the edition you read.

Say, Jeremiah (2026). South Korea Emission Factors (MasterBrain v2026.110). GreenCalculus. https://greencalculus.com/factors/south-korea-emission-factors/

Cite this factor group

Values change between editions. Quoting the MasterBrain version is what lets a reader resolve the exact number you used — see the change record above for factors in this group that have moved.

For a reference manager — BibTeX, then RIS:

@misc{greencalculus__2026,
  author       = {Say, Jeremiah},
  title        = {South Korea Emission Factors},
  year         = {2026},
  howpublished = {GreenCalculus},
  note         = {MasterBrain v2026.110},
  url          = {https://greencalculus.com/factors/south-korea-emission-factors/}
}

TY  - DATA
AU  - Say, Jeremiah
TI  - South Korea Emission Factors
PY  - 2026
PB  - GreenCalculus
ET  - MasterBrain v2026.110
UR  - https://greencalculus.com/factors/south-korea-emission-factors/
ER  - 

Every factor on this page is readable from the open endpoint. No key, no signup:

https://greencalculus.com/wp-json/greencalculus/v1/factors/

curl -s "https://greencalculus.com/wp-json/greencalculus/v1/factors/?limit=500"

import requests
rows = requests.get("https://greencalculus.com/wp-json/greencalculus/v1/factors/", params={"limit": 500}).json()["factors"]
print(len(rows), "factors in ")

Or the same rows as a spreadsheet — every factor with its source, the edition it last changed in, and its own link:

https://greencalculus.com/wp-json/greencalculus/v1/factors-export?page=south-korea-emission-factors

Download this table as CSV

Both responses carry an X-GC-Version header, so a consumer can detect a new edition without diffing the payload. The CSV filename carries the edition too, so two downloads months apart do not collide.

All factors

Last changed names the data-layer edition in which a factor last took a new value, reconstructed from every released edition since v2025.13. A dash means the value has not moved since tracking began — which is the answer to "is the figure I used last year still current?".

Common questions