Republic of Korea's Progress and Recent Impact

Key Insights

Extremely High Per Capita Emissions

The Republic of Korea's per capita greenhouse gas emissions are classified as extremely high, standing at 12.34 tonnes per person per year. This figure significantly surpasses the threshold for extremely high emissions, which is set at 10 tonnes per capita. The high per capita emissions reflect the country's industrialized economy, which relies heavily on fossil fuels, particularly coal and oil. The historical focus on rapid industrialization, as seen in the First Five-Year Economic Plan and subsequent economic strategies, has contributed to this elevated level of emissions.

Slight Decline in Total Emissions

In the latest year of data, the Republic of Korea's total greenhouse gas emissions amounted to 638.9 megatonnes of CO2-equivalents, representing 1.16% of global emissions. While this share may seem modest, it is significant when considering the collective impact of smaller emitters. Notably, the country's emissions have shown a slight decline over the past decade, with a yearly percentage change of -0.64%. This trend is primarily driven by a reduction in CO2 emissions from fossil fuels, which have decreased due to efforts to diversify energy sources and improve energy efficiency.

Methane and F-Gases on the Rise

Despite the overall decline in emissions, methane and F-gases have shown an upward trend. Methane emissions have increased, driven by waste management and agricultural activities, while F-gases have risen due to industrial applications. These increases highlight areas where further mitigation efforts are needed. The launch of the Emissions Trading Scheme in 2013 and the 2050 Carbon Neutrality Pledge are steps in the right direction, aiming to cap and reduce emissions through market-based mechanisms and a commitment to renewable energy and energy efficiency.

Commitment to Carbon Neutrality

The Republic of Korea's pledge to achieve carbon neutrality by 2050 underscores its commitment to addressing climate change. This ambitious goal involves transitioning to renewable energy sources and enhancing energy efficiency across sectors. The country's Green Growth Strategy and the Nuclear Phase-Out Policy reflect a shift towards sustainable development, balancing energy security with environmental concerns. As the nation progresses towards its carbon neutrality target, continued efforts to reduce emissions from all sectors will be crucial in meeting international climate goals.

Background

Recent per Capita Emissions

The Recent per Capita Emissions are a crucial indicator of a nation's greenhouse gas emissions. They are a fair measure for comparing the emissions of nations, taking into account the size of their populations.

Because any greenhouse gas emissions above 0 cause warming, the per capita emissions shouldn't be judged against the global average; they should be compared based on how far they are above 0. Therefore, our rating scale is:

Extremely High: above 10 tonnes per capita per year
Very High: above 7.5 tonnes
High: above 5 tonnes
Moderate: above 2.5 tonnes
Low: above 0 tonnes
Negative Emissions: under 0

The per capita emissions should be close to zero for each country, indicated here by the green & low areas.

Last Year Emissions

This is the total amount of CO₂, CH₄, N₂O, and F-Gases emissions of a nation in 2023 (last available year in the data) expressed in megatonnes of CO₂-equivalents. The gases have different atmospheric lifetimes (decay) and warming effects, for this reason, we use the GWP100 (100 year time horizon method) to calculate the global warming potential of CH₄, N₂O, and F-Gases to express them in CO₂-equivalents.

Wikipedia: Global Warming Potential

Last Year Share

This is a nation's share of the global emissions in 2023 (last available year in the data). For many countries this value can be quite small, especially when compared to nations like United States or China. It is easy and dangerous to jump to the conclusion that small shares of emissions don't matter. They matter as a group. Even small emitters can account for a significant amount of total emissions. Consider the following examples:

24 nations, each between 0.5 and 1.5% of the total emissions, make up 20% of the total emissions.
27 nations, each between 0.5 and 2% of the total emissions, make up 25% of the total emissions.
162 nations with a share below 0.5% make up 15% of the total.
3 nations, make 44% of the total emissions: China, United States and India. However, China and India together have a population of about 2.9 billion.

Per Capita Emissions are therefore the most crucial indicator to represent the impact of a nation regardless of its size.

Yearly Emissions Trend

This is a nation's trend per year over the last 10 years. It is a good indicator of the trajectory of national emissions and can be used as a simple framework to judge a nation's trend vs. international goals:

Stop warming around 1.5 °C: All nations together, and each nation, should drop emissions by 17% per year — 8,000 Megatonnes of CO₂ Equivalent per Year.
To achieve Net Zero in 2050 and to stop warming at ~1.7 °C: All nations should together, and each nation, should drop emissions by 4% per year — 2,100 Megatonnes of CO₂ Equivalent per Year.
Additionally, to return warming to pre-industrial levels almost all human-induced CO₂ has to be taken out of the atmosphere.

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About the Data

The last available year in all the emission datasets is 2023. CO₂ emissions data is from the Global Carbon Project. It contains national CO₂ emissions from fossil sources and land-use change. Emissions from CH₄, N₂O and F-gases come from the PRIMAP-Hist dataset. It is a rich dataset that combines several published sources to create a historical emissions time series for various greenhouse gases. Population data are also from Global Carbon Project where available, however, for many nations it doesn't have historic population going back to 1850. Those historic gaps are filled with population data from Our World in Data.

The Key Insights paragraph was generated using a large language model (LLM) using a structured approach to improve the accuracy. This included separating the context generation from the interpretation and narrative.

Data Sources

Global Carbon Budget 2024 Global Carbon Budget
Update cycle: yearlyDelay: ~ 10 months after the end of the year. Current year values are estimated and published in November.Credits: Friedlingstein et al., 2024, ESSD. Friedlingstein, P., O'Sullivan, M., Jones, M. W., Andrew, R. M., Hauck, J., Landschützer, P., Le Quéré, C., Li, H., Luijkx, I. T., Olsen, A., Peters, G. P., Peters, W., Pongratz, J., Schwingshackl, C., Sitch, S., Canadell, J. G., Ciais, P., Jackson, R. B., Alin, S. R., Arneth, A., Arora, V., Bates, N. R., Becker, M., Bellouin, N., Berghoff, C. F., Bittig, H. C., Bopp, L., Cadule, P., Campbell, K., Chamberlain, M. A., Chandra, N., Chevallier, F., Chini, L. P., Colligan, T., Decayeux, J., Djeutchouang, L., Dou, X., Duran Rojas, C., Enyo, K., Evans, W., Fay, A., Feely, R. A., Ford, D. J., Foster, A., Gasser, T., Gehlen, M., Gkritzalis, T., Grassi, G., Gregor, L., Gruber, N., Gürses, Ö., Harris, I., Hefner, M., Heinke, J., Hurtt, G. C., Iida, Y., Ilyina, T., Jacobson, A. R., Jain, A., Jarníková, T., Jersild, A., Jiang, F., Jin, Z., Kato, E., Keeling, R. F., Klein Goldewijk, K., Knauer, J., Korsbakken, J. I., Lauvset, S. K., Lefèvre, N., Liu, Z., Liu, J., Ma, L., Maksyutov, S., Marland, G., Mayot, N., McGuire, P., Metzl, N., Monacci, N. M., Morgan, E. J., Nakaoka, S.-I., Neill, C., Niwa, Y., Nützel, T., Olivier, L., Ono, T., Palmer, P. I., Pierrot, D., Qin, Z., Resplandy, L., Roobaert, A., Rosan, T. M., Rödenbeck, C., Schwinger, J., Smallman, T. L., Smith, S., Sospedra-Alfonso, R., Steinhoff, T., Sun, Q., Sutton, A. J., Séférian, R., Takao, S., Tatebe, H., Tian, H., Tilbrook, B., Torres, O., Tourigny, E., Tsujino, H., Tubiello, F., van der Werf, G., Wanninkhof, R., Wang, X., Yang, D., Yang, X., Yu, Z., Yuan, W., Yue, X., Zaehle, S., Zeng, N., and Zeng, J.: Global Carbon Budget 2024, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2024-519, in review, 2024.

PRIMAP-hist The PRIMAP-hist national historical emissions time series (1750-2023)
Update cycle: Every few monthsDelay: Less than 1 yearCredits: Gütschow, Johannes; Busch, Daniel; Pflüger, Mika (2024): The PRIMAP-hist national historical emissions time series (1750-2023) v2.6. Zenodo.

Our World in Data Population - Our World in Data
Update cycle: YearlyDelay: 7 monthsCredits: HYDE (2023); Gapminder (2022); UN WPP (2024) – with major processing by Our World in Data