Short introduction on Argentina’s emissions
Although CO2 is the driving force behind the temperature changes, other gases such as methane (CH4) also contribute their share to global warming, for example through the exploitation of gas fields, and emissions by livestock. While methane is emitted much less than CO2 on a global scale, it is a much stronger greenhouse gas (GHG). Scientists estimated the relative strength of the important Kyoto greenhouse gases so that we can convert all emissions to an equivalent of CO2 emissions. For example, the emission of one ton of methane has approximately the warming effect of 25 tons of CO2. The factor of 25 reflects the climate forcing on a 100-year time horizon, following the Global Warming Potential presented in the IPCC Fourth Assessment Report (AR4).
With greenhouse gas emissions of approximately the equivalent of 348.2 mega tonnes of CO2 (Mt CO2eq), Argentina contributed 0.73% to the global greenhouse gas emissions of 2017 (rank 27 - incl. EU27 on rank 3). All emissions estimates exclude emissions and absorption from land, which result from activities such as cutting down or planting of forests (Land Use, Land-Use Change and Forestry: LULUCF). Emissions from bunker fuels (international aviation and shipping) were also excluded, as they are not accounted for in national totals.
For 2030, Argentina’s global contribution to greenhouse gas emissions is projected to stay at a similar level of approximately 0.72% (403.7 mega tonnes of CO2 equivalent / rank 29 - incl. EU27 on rank 4). The emissions projections for Argentina were derived by downscaling the Shared Socio-Economic Pathways’ (SSPs) “Middle-of-the-Road” baseline marker scenario SSP2. These pathways describe certain narratives of socio-economic developments and were, i.a., used to derive greenhouse gas emissions scenarios that correspond to these developments. SSP2 is a narrative with little shifts in socio-economic patterns compared to historical ones, and is connected to medium socio-economic challenges for both climate mitigation and adaptation. While different models were used for each storyline, per SSP (SSPs1-5) one model was chosen as representative “marker scenario”. As the emissions projections are not readily available on country-level, but national estimates are important, the pathways were downscaled in the aftermath. In 2017, Argentina represented 0.58% of the global population. Its Gross Domestic Product (GDP) in 2017 were 0.65% of the global GDP.
Looking at the highest contributing emissions sectors and gases separately, we find that in 2017 the highest contributing emissions sectors were Energy and Agriculture (56.7% and 32.8%). Amongst the greenhouse gases that are considered in the Kyoto Protocol, the strongest contributor with 58.7% was CO2. This was followed by CH4 emissions, with a significantly lower share of 27.8%. When not considering the sectors and gases independently, but the sector-gas combinations instead, Energy CO2 and Agriculture CH4 (53.6% and 20.4%) represented the largest emissions in 2017.
Greenhouse gas mitigation and Nationally Determined Contribution (NDC)
In 2015, the majority of countries agreed to the Paris Agreement (PA), with the goal of “Holding the increase in the global average temperature to well below 2°C above pre-industrial levels and pursuing efforts to limit the temperature increase to 1.5°C above pre-industrial levels, recognizing that this would significantly reduce the risks and impacts of climate change” (Article 2.1.a). Countries stated their pledges and targets towards achieving the PA’s goals in their Nationally Determined Contributions (NDCs). With Article 4.4 of the Paris Agreement, Parties decided that “Developed country Parties should continue taking the lead by undertaking economy-wide absolute emission reduction targets. Developing country Parties should continue enhancing their mitigation efforts, and are encouraged to move over time towards economy-wide emission reduction or limitation targets in the light of different national circumstances.”
In its NDC, the country communicates that “The Argentine Republic is committed to an absolute, economy wide and unconditional goal of not exceeding the net emission of 359 million tons of carbon dioxide equivalent (MtCO2e) [SAR, including LULUCF] in 2030. […] This new goal is ambitious, since it is equivalent to a total decrease in emissions of 19% by 2030, compared to the historical peak reached in 2007, and a reduction of 25,7% compared to the previous NDC submitted in 2016.” (NDC, p. 9, GWP: p. 36). Argentina additionally notes that “Although the implementation of this NDC is not contingent on international cooperation, the Argentine Republic understands that the support of developed countries in the fulfillment of its national ambition will bring about significant benefits globally. An initial analysis of needs and their priority order has been included in this Second NDC.” (NDC, p. 10). The country’s target is expressed in absolute emissions, which makes it relatively easy for use in, i.a., global aggregations to derive the resulting end-of-century warming levels.
This unconditional contribution is economy-wide (NDC, p. 9), and covers all the categories of emissions sources and sinks reported in IBA 3 presented to the UNFCCC in December 2019 (NDC, p. 34). Therefore, we assess all main IPCC emissions sectors (Energy, IPPU, Agriculture, LULUCF, and Waste) as covered. From the Kyoto GHGs, all gases besides SF6 and NF3 are listed as included, why we assume these two gases not to be covered. In total, our assessment of covered sectors and gases results in an estimated 100.0% of 2017’ emissions being targeted by the NDC (based on PRIMAP-hist v2.1 HISTCR exclLU, in AR4). For Argentina, the dataset has no emissions data available for NF3, while SF6 is presented to contribute less than 0.001%.
For the land component, goals include enhanced “Ecosystem protection policies (forests, wetlands, oceans, among others)”, and the drastic reduction of deforestation and the boost of cultivated forests (NDC, p. 9). Furthermore, Argentina will decide on the use of Article 6 of the PA (cooperation and markets) when negotiations on Article 6 of the Paris Agreement are concluded in the UNFCCC framework (NDC, p. 38). Until then, any operation that involves emission reduction units reached in Argentine territory (public and private) must be registered and have the authorisation of the National Government, and, unless expressed otherwise, all emission reductions in the national territory will be accounted towards the NDC. Additionally, the countr will present its long-term low-emissions development strategy at the next Conference of the Parties (COP26 in Glasgow in 2021), with the goal of achieving carbon neutrality by 2050 (NDC, p. 30) .
The NDC-assessment is based on Argentina’s NDC submitted to the UNFCCC in December 2020. The document was submitted mostly in Spanish, and the above-assessment is based on our best understanding of the Spanish parts of the NDC.
The Figure below provides additional information, regarding both the baseline emissions used in our assessment and the quantified mitigated pathways for Argentina.
Baseline emissions and mitigated emissions pathways based on the country’s Nationally Determined Contribution. In terms of national emissions, we look at the SSP2 baseline marker scenario, and the emissions of all IPCC sectors. Contributions from LULUCF are excluded (exclLU), and the emissions are based on GWPs from AR4. The left panel (a) shows the baseline emissions, indicating the contributions of the Kyoto Greenhouse Gases CO2, CH4, N2O, and the basket of F-gases to the national emissions. If we could extract baseline data exclLU from the NDC, you can see their values as black squares (converted from GWP SAR to AR4 if needed). In the right panel (b), the quantified mitigated emissions pathways are shown, based on information from the country’s NDC and also on non-NDC emissions baselines, per target conditionality and range (marked un-/conditional best/worst). Even though not all countries have targets with different conditionalities or ranges, we need assumptions for all four cases to build one global pathway per conditionality plus range combination and to derive corresponding temperature estimates. Therefore, we indicate these four pathways here. Per combination, we performed several quantifications with differing assumptions and show the median and the minimal and maximal pathways here. Additionally, if we could quantify the targets based on data extracted purely from the NDC - or if the targets were directly given in absolute emissions, these targets are shown as squares (in the GWP originally given in the NDC).
Data sources and further information
- Historical emissions: PRIMAP-hist v2.1 (Guetschow et al., 2016, 2019).
- Historical socio-economic data: PRIMAP-hist Socio-Eco v2.1 (Guetschow et al., 2019).
- Projected emissions and socio-economic data: downscaled SSPs (Guetschow et al., 2020, 2020).
- NDC quantifications: NDCmitiQ (Guenther et al., 2020, 2021).
- GDP is given in purchasing power parity (PPP).
- Main emissions sectors (Intergovernmental Panel on Climate Change, IPCC): Energy, Industrial Processes and Product Use (IPPU), Agriculture and LULUCF (Land Use, Land-Use Change and Forestry), also named AFOLU (Agriculture, Forestry and Other Land Use), and Waste.
- Kyoto GHG: basket of several GHGs, namely carbon dioxide (CO2), Methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6), and since the second Kyoto Protocol period (2013-20) additionally nitrogen fluoride (NF3).
- Global Warming Potentials (GWPs): GHGs have very different warming potentials. To make them comparable and for aggregation purposes, GWPs are used (how much energy will 1 ton of a certain gas absorb over a defined period of time, relative to the same mass of CO2?).
1 Potsdam Institute for Climate Impact Research (PIK), 14473 Potsdam, Germany