Taking stock of national climate policies to evaluate implementation of the Paris Agreement
Open accessAbstract
Many countries have implemented national climate policies to accomplish pledged Nationally Determined Contributions and to contribute to the temperature objectives of the Paris Agreement on climate change. In 2023, the global stocktake will assess the combined effort of countries. Here, based on a public policy database and a multi-model scenario analysis, we show that implementation of current policies leaves a median emission gap of 22.4 to 28.2 GtCO 2 eq by 2030 with the optimal pathways to implement the well below 2 °C and 1.5 °C Paris goals. If Nationally Determined Contributions would be fully implemented, this gap would be reduced by a third. Interestingly, the countries evaluated were found to not achieve their pledged contributions with implemented policies (implementation gap), or to have an ambition gap with optimal pathways towards well below 2 °C. This shows that all countries would need to accelerate the implementation of policies for renewable technologies, while efficiency improvements are especially important in emerging countries and fossil-fuel-dependent countries.
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TL;DR
Using a policy inventory and multi-model scenario analysis, current national climate policies leave a median 2030 emissions gap of 22.4 GtCO2eq with well-below-2 °C pathways and 28.2 GtCO2eq with 1.5 °C pathways. Full implementation of conditional NDCs would reduce the 2 °C gap by a third but still leave a significant ambition gap.
Key findings
- Global greenhouse gas emissions under the National policies scenario reach 59.3 GtCO2eq (58.4–63.7) by 2030, a 5.3% (3.8%–7.9%) reduction relative to No new policies; this covers 15.4% (10.8%–19.0%) of the gap to the 2 °C pathway and 11% (7.6%–15.9%) to the 1.5 °C pathway.
- The total 2030 emissions gap between National policies and cost-optimal pathways is 22.4 GtCO2eq (13.6–29.6) for 2 °C and 28.2 GtCO2eq (19.8–42.2) for 1.5 °C. Full conditional NDCs give 51.9 GtCO2eq (50.4–57.4) in 2030, leaving an implementation gap of 7.7 GtCO2eq (5.3–9.7); the 2 °C gap is reduced by a third, leaving a median ambition gap of 16.5 GtCO2eq (6.4–21.0) for 2 °C and 21.2 GtCO2eq (12.2–31.6) for 1.5 °C.
- For seven large economies, policy implementation reduces national emissions by 0% to 9% (median) relative to No new policies. Implementation gaps with NDCs range from 3% (3–7%) for the Russian Federation to 28% (22–37%) for the United States; China, India, Japan, and the Russian Federation are projected to come close to their NDC targets, while Brazil, the European Union, and the United States are further removed.
- Closing the global gap by 2030 requires increasing the low-carbon share of final energy by 6.9 pp (4.0%–12.3%) and improving energy intensity by 9.6% (4.8%–24.7%) for 2 °C; for 1.5 °C, these values are 13.0% (7.2%–24.0%) and 17.5% (12.5%–26.8%).
Methods
- Multi-model scenario analysis using nine global integrated assessment models and ten national models, starting from SSP2, with five scenarios: No new policies, National policies, NDCs, 2 °C, and 1.5 °C.
- National policies were selected from an open-access policy database, based on high-impact policies for G20 economies, with a cut-off date of 31 December 2016; results are presented globally and for Brazil, China, the European Union, India, Japan, the Russian Federation, and the United States.
- Results use medians and 10th–90th percentile ranges across models; gaps are decomposed using Kaya identity indicators, and 2 °C/1.5 °C scenarios use carbon budgets of 1000 GtCO2 and 400 GtCO2 for 2011–2100, respectively.
Limitations
- The paper states that the analysis is limited to national policies and NDCs for G20 economies representing 75% of total 2010 greenhouse gas emissions; countries with high-impact policies but not included represent around 5% of global 2010 emissions.
- The paper states that the policy inventory covers implemented and planned national policies up to 2017, with a cut-off date of 31 December 2016, so very recent policy updates or planned policies in the pipeline were not included.
- The paper states that IAMs differ in aggregation and policy representation, often assume one central planner, and have limited ability to reflect social and economic dynamics of developing and transition economies; cost-optimal 2 °C/1.5 °C pathways may imply higher costs in low-income regions unless complemented by financial transfers. Evident from the text: NDC targets for China and India could not be translated into one specific absolute greenhouse gas emission level, and AFOLU emission estimates are inherently uncertain.
Model-written summary. Check it against the paper before relying on it.
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Cites
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Claims the paper makes
0 of 21 cited sources checked · 0 supported · 0 flagged
- Findingown data
Current national policies leave a median global total emissions gap by 2030 of 28.2 GtCO2eq with a 1.5 °C pathway.
“and 28.2 GtCO2eq with a 1.5 °C pathway.”
- Also stated in: § Global emissions gap and for seven large G20 countries · plain
“and 28.2 GtCO2eq (19.8–42.2) for the 1.5 °C limit”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Also stated in: § Global emissions gap and for seven large G20 countries · plain
- Findingown data
Under the No new policies scenario, global greenhouse gas emissions are projected to reach 63.9 GtCO2eq (61.0-69.1) by 2030.
“Under the No new policies scenario, the models project an increase in global greenhouse gas emissions to 63.9 GtCO2eq (61.0–69.1; median and 10th to 90th percentile range over all model results) by 2030.”
Quote in the paperSubstantial claim - Findingown data
Countries with high-impact policies but not included in the assessment represent around 5% of global 2010 emissions.
“It is estimated that the countries with high-impact policies, but not included in our assessment, represent around 5% of global 2010 emissions (see Supplementary Table 1).”
Quote in the paperNot a substantial claim - Findingreasoning
Full implementation of conditional NDCs leaves a median ambition gap of 16.5 GtCO2eq with 2 °C pathways.
“leaving a median ambition gap of 16.5 GtCO2eq (6.4–21.0) with 2 °C pathways”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Findingown data
China, India, Japan and the Russian Federation are close to achieving their NDC with national policies, leaving a small implementation gap.
“This leaves a small implementation gap for China, India, Japan, Russian Federation as they are close to achieving their NDC”
- Also stated in: § Impact of national policies for seven large G20 economies · hedged
“China, India, Japan and Russian Federation are projected to come close to achieving their NDC targets with national policies by 2030.”
Quote in the paperSubstantial claim - Also stated in: § Impact of national policies for seven large G20 economies · hedged
- Findingown data
Implementation of national policies results in global emission levels of 59.3 GtCO2eq (58.4-63.7) by 2030.
“Implementation of national policies is not projected to reverse the increase of global emissions by 2030, and would result in emission levels of 59.3 GtCO2eq (58.4–63.7) (Fig. 1)”
Quote in the paperSubstantial claim - Findingown data
Full implementation of conditional NDCs would reduce the 2 °C global emissions gap by a third.
“The 2 °C global emissions gap can be reduced by a third, if conditional NDCs were fully implemented”
- Also stated in: § Global emissions gap and for seven large G20 countries · plain
“The global emissions gap with the 2 °C scenario can be reduced by a third, if conditional NDCs would be fully implemented”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Also stated in: § Global emissions gap and for seven large G20 countries · plain
- Findingnone given
For seven large individual countries, policy implementation is expected to reduce emissions at the national level by 0 to 9% (median estimates) compared to the hypothetical situation if no policies would be implemented.
“For seven large individual countries (China, the United States, India, the European Union, Japan, Brazil and the Russian Federation), policy implementation is expected to reduce emissions at the national level by 0 to 9% (median estimates) compared to the hypothetical situation if no policies would be implemented.”
Quote in the paperSubstantial claim - Findingown data
Implementation of current national policies results in global greenhouse gas emissions 5.3% lower than the hypothetical no-policies situation.
“although 5.3% lower compared to the hypothetical situation if these policies would not have been implemented.”
- Also stated in: § Global implementation and total emissions gap · plain
“which is a 5.3% (3.8%–7.9%) reduction relative to the No new policies scenario”
Quote in the paperSubstantial claim - Also stated in: § Global implementation and total emissions gap · plain
- Findingown data
Under current implemented national climate policies, global greenhouse gas emissions are projected to increase substantially between 2015 and 2030.
“The results show that if no additional action is taken beyond current implemented national climate policies, greenhouse gas emissions are projected to increase substantially between 2015 and 2030, although 5.3% lower compared to the hypothetical situation if these policies would not have been implemented.”
- Also stated in: § Global implementation and total emissions gap · plain
“Implementation of national policies is not projected to reverse the increase of global emissions by 2030”
Quote in the paperSubstantial claim - Also stated in: § Global implementation and total emissions gap · plain
- Findingown data
Full implementation of conditional NDCs leaves a median ambition gap of 21.2 GtCO2eq with 1.5 °C pathways.
“and 21.2 GtCO2eq (12.2–31.6) with 1.5 °C pathways.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Findingown data
Current national policies leave a median global total emissions gap by 2030 of 22.4 GtCO2eq with a cost-optimal 2 °C emission pathway.
“Current national policies together, leave a median global total emissions gap by 2030 of 22.4 Gigaton CO2 equivalent (GtCO2eq) with a cost-optimal 2 °C emission pathway”
- Also stated in: § Global emissions gap and for seven large G20 countries · plain
“This shows a total emissions gap between the National policies scenario and the cost-optimal scenarios in 2030 of 22.4 GtCO2eq (13.6–29.6) for the 2 °C limit (high probability)”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Also stated in: § Global emissions gap and for seven large G20 countries · plain
- Findingown data
The NDC projections by 2050 for the European Union, Brazil and the United States are relatively close to the 2 °C scenario.
“Interestingly, the NDC projections by 2050 for the European Union, Brazil, and the United States are relatively close to the 2 °C scenario”
Quote in the paperSubstantial claim- The authors state this as an assumption: Countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.
- Findingown data
Comparison of mid-century results with trajectories for 2 °C and 1.5 °C maximum temperature increases shows a large gap.
“In the same way as for the shorter period until 2030, comparison of the results with the trajectories for the 2 °C and 1.5 °C maximum temperature increases shows a large gap (Fig. 4).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.
- Findingown data
For all countries there is either a significant implementation gap or an ambition gap.
“The results show that for all countries there is either a significant implementation gap or ambition gap.”
Quote in the paperSubstantial claim - Findingown data
The implementation of conditional NDCs is projected to result in 51.9 (50.4-57.4) GtCO2eq greenhouse gas emissions by 2030.
“The implementation of conditional NDCs (NDC scenario) is projected to result in 51.9 (50.4–57.4) GtCO2eq greenhouse gas emissions by 2030”
Quote in the paperSubstantial claim - Findingown data
Closing the gap between national policies and 2 °C or 1.5 °C pathways by 2030 would result in additional median mitigation costs per GDP of between 0.5% for the European Union to 2.8% for the Russian Federation for the 2 °C case, and 0.6% to 3.4% for the 1.5 °C case.
“Closing the gap between national policies and 2 °C or 1.5 °C pathways by 2030 would result in additional median mitigation costs per GDP of between 0.5% for the European Union to 2.8% for the Russian Federation for the 2 °C case, while this is 0.6% to 3.4% for the 1.5 °C case (see Fig. 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Findingown data
Most emission reductions under the National policies scenario are induced by high-impact policies that target CO2 emissions.
“Most emission reductions under the National policies scenario are induced by high-impact policies that target CO2 emissions (Fig. 1).”
Quote in the paperNot a substantial claim - Findingown data
Policy implementation is estimated to result in reductions of 0% (0-2%) for the Russian Federation to 10% (4-12%) for the United States, relative to the no new policies scenario.
“Policy implementation is estimated to result in reductions of 0% (0–2%) for the Russian Federation to 10% (4–12%) for the United States, relative to the no new policies scenario (see Table 2).”
Quote in the paperSubstantial claim - Findingnone given
The NDCs for China and India are represented by greenhouse gas intensity targets, renewable targets and forestry measures, which could not be translated into one specific absolute greenhouse gas emission level.
“The NDCs for China and India are represented by greenhouse gas intensity targets, renewable targets and forestry measures, which could not be translated into one specific absolute greenhouse gas emission level.”
Quote in the paperSubstantial claim - Findingnone given
Current policy implementation is often fragmented in terms of the use of policy instruments and the coverage of sectors and countries.
“Moreover, it is also often fragmented in terms of the use of policy instruments and the coverage of sectors and countries.”
Quote in the paperSubstantial claim - Findingown data
Under the National Policies scenario, global energy intensity improves by 20.5% (16.1%-24.7%) between 2015 and 2030.
“and the energy intensity improves by 20.5% (16.1%–24.7%) between 2015 and 2030”
Quote in the paperNot a substantial claim - Findingreasoning
National policies together leave a significant global implementation gap with respect to NDC targets by 2030 of 7.7 (5.3-9.7) GtCO2eq for emissions.
“This means that national policies together leave a significant global implementation gap with respect to the NDC targets by 2030, which is 7.7 (5.3–9.7) GtCO2eq for emissions (see Table 3).”
Quote in the paperSubstantial claim - Findingown data
Implementation of national policies leaves an implementation gap with NDCs of 3% (3-7%) for the Russian Federation to 28% (22-37%) for the United States.
“Implementation of national policies still leaves an implementation gap with NDCs of 3% (3–7%) for the Russian Federation to 28% (22–37%) for the United States (see Table 2).”
Quote in the paperSubstantial claim - Findingreasoning
National policies cover 15.4% (10.8%-19.0%) of the emissions gap between No new policies and the 2 °C pathway by 2030.
“However, it covers 15.4% (10.8%–19.0%) of the emissions gap between No new policies and the 2 °C pathway by 2030”
Quote in the paperSubstantial claim - Findingnone given
All G20 countries' NDCs are of the first three types: absolute emission reduction targets, business-as-usual reductions, and emission-intensity reductions.
“All G20 countries` NDCs are of the first three types.”
Quote in the paperNot a substantial claim - Findingown data
The 2 °C and 1.5 °C model ranges for Brazil are large as a result of uncertainty in land-use-related emissions.
“The 2 °C and 1.5 °C model ranges for Brazil are large as a result of the uncertainty in land-use-related emissions.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.
- Findingown data
The median estimate for cumulative emissions relative to 2010 under the 1.5 °C scenario is between 20 and 25, except for Brazil and India.
“The median estimate for cumulative emissions relative to 2010, under this scenario, is at a similar level, between 20 and 25, except for Brazil and India”
Quote in the paperSubstantial claim- The authors state this as an assumption: Countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.
- Findingown data
45% (30-70%) of the emission reductions under the National policies scenario are projected to come from OECD member countries.
“Furthermore, 45% (30–70%) of the emission reductions are projected to come from countries that are member of the the Organisation for Economic Co-operation and Development (OECD).”
Quote in the paperNot a substantial claim - Findingreasoning
National policies cover 11% (7.6%-15.9%) of the emissions gap between No new policies and the 1.5 °C pathway by 2030.
“and this is 11% (7.6%–15.9%) for the 1.5 °C pathway.”
Quote in the paperSubstantial claim - Findingown data
Under the National Policies scenario, the global low-carbon share of final energy increases by 1 percentage point to 14.3% (9.3%-19.8%) by 2030.
“Although the global low-carbon share of final energy under the National Policies scenario increases by 1 percentage point (1 pp) to 14.3% (9.3%–19.8%) by 2030”
Quote in the paperSubstantial claim - Findingown data
The most pronounced differences between countries and scenarios for the tracking indicators are visible for the low-carbon share of final energy and energy intensity (final energy/GDP).
“The most pronounced differences between countries and scenarios for these indicators are visible for the low-carbon share of final energy (%) and energy intensity (final energy/GDP)”
Quote in the paperNot a substantial claim - Findingreasoning
The global implementation gap by 2030 can be closed by increasing the low-carbon share by 2.8 pp (1.5-4.7 pp) and decreasing energy intensity by 12.7% (9.1%-16.1%).
“This gap by 2030 can be closed by increasing the low-carbon share by 2.8 pp (1.5–4.7 pp), and decreasing energy intensity by 12.7% (9.1%–16.1%).”
Quote in the paperSubstantial claim - Interpretationreasoning
The analysis is limited to national policies and NDCs for G20 economies that represent 75% of total 2010 greenhouse gas emissions.
“Owing to the aggregation level of most IAMs, our analysis is limited to the national policies and NDCs for G20 economies that represent 75% of total 2010 greenhouse gas emissions.”
Quote in the paperSubstantial claim - Interpretationcitation
The policy inventory contains most of the relevant policies that were introduced around the Paris Agreement.
“As introduction of new policies mostly occurs simultaneously with key international accords17, this inventory contains most of the relevant policies that were introduced around the Paris Agreement.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17] Iacobuta, G., Dubash, N. K., Upadhyaya, P., Deribe, M. & Höhne, N. National climate change mitigation legislation, strategy and targets: a global update. Clim. Policy 18, 1114–1132 (2018). source
Not checked in the free run.
- Premisecitation
The seven large emitting economies for which national models were available (Brazil, China, the European Union, India, Japan, the Russian Federation and the United States) together represent around 65% of global 2010 greenhouse gas emissions.
“The results are presented at the global level and for the seven large emitting economies for which national models were available, i.e., Brazil, China, the European Union, India, Japan, the Russian Federation and the United States, together representing around 65% of global 2010 greenhouse gas emissions18.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Gütschow, J. et al. The PRIMAP-hist national historical emissions time series. Earth Syst. Sci. Data 8, 571–603 (2016). source
Not checked in the free run.
- Interpretationnone given
In terms of cost-optimal mitigation, large reductions in each G20 economy are necessary to stay within the 400 Gt carbon budget.
“In terms of cost-optimal mitigation, large reductions in each G20 economy are necessary to stay within the 400 Gt carbon budget.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.
- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
- Premisecitation
Effort-sharing approaches based on equity considerations tend to suggest larger reduction targets for high-income regions.
“Effort-sharing approaches based on equity considerations tend to suggest larger reduction targets for high-income regions24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] van den Berg, N. J. et al. Implications of various effort-sharing approaches for national carbon budgets and emission pathways. Clim. Change February (2019) source
Not checked in the free run.
- Interpretationown data
The global stocktake analysed in this article shows that large enhancements are necessary to maintain the window to limiting temperature increase to well below 2 °C, or even to pursue efforts to limit it to 1.5 °C.
“the global stocktake discussed in this article shows that large enhancements are necessary if we want to maintain the window to limiting temperature increase to well below 2 °C, or even pursue efforts to limit this to 1.5 °C.”
Quote in the paperSubstantial claim - Premisecitation
Most models, especially those with a simple representation of the economy, have only a limited ability to reflect the specific social and economic dynamics of developing and transition economies.
“This implies that most models (especially with simple representation of the economy) have only a limited ability to reflect the specific social and economic dynamics of the developing and transition economies36.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Weyant, J. Integrated assessment of climate change: an overview and comparison of approaches and results. https://www.ipcc.ch/site/assets/uploads/2018/06/2nd-assessment-en.pdf (1995).
Not checked in the free run.
- Premisecitation
The 2 °C carbon budget of 1000 GtCO2 between 2011 and 2100 is in line with carbon budgets of 590 to 1240 GtCO2 from 2015 onwards, which would limit global warming by 2100 to below 2 °C relative to pre-industrial levels with at least 66% probability.
“This is in line with the carbon budgets of 590 to 1240 GtCO2 from 2015 onwards, which would limit global warming by 2100 to below 2 °C, relative to pre-industrial levels with at least 66% probability.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Luderer, G. et al. Residual fossil CO2 emissions in 1.5–2 °C pathways. Nat. Clim. Change 8, 626–633 (2018). source
Not checked in the free run.
- cites [41] IPCC. Climate Change 2014: Synthesis report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. (IPCC, 2014).
Not checked in the free run.
- Classified as probably not a substantial claim. 16
- May combine two claims. 27
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenNDC targets for G20 economies are generally defined for the year 2030, but the US NDC target is defined for the year 2025.
“In general, NDC targets for G20 economies are defined for the year 2030, but the US NDC target is defined for the year 2025.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the seven individual G20 countries, greenhouse gas emissions by 2030 would need to decrease compared to the national policies scenario by 25 to 41% (median) to stay on track to keep temperature below 2 °C, and by 33 to 54% (median) under the 1.5 °C scenario.
“For the seven individual G20 countries, greenhouse gas emissions by 2030 would need to decrease compared to the national policies scenario by 25 to 41% (median) to stay on track to keep temperature below 2 °C, while this is 33 to 54% (median) under the 1.5 °C scenario (see Table 2 and Fig. 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
Findingown dataEffort-sharing approaches based on equity principles would lead to lower allowance of cumulative emissions in the EU, Japan, the Russian Federation and the United States, and to higher allowances for India, resulting in an opposite impact on the gap between national policies and these allowances.
“In contrast, effort-sharing approaches based on equity principles would lead to lower allowance of cumulative emissions in the EU, Japan, the Russian Federation and the United States, and to higher allowances for India (see Supplementary Fig. 3), resulting in an opposite impact on the gap between national policies and these allowances.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor national policies, greenhouse gas emissions by 2030 would be somewhat higher, and for well below 2 °C scenarios lower, than earlier studies indicated.
“The results from this study show that, for national policies, greenhouse gas emissions by 2030 would be somewhat higher and for well below 2 °C scenarios lower than earlier studies indicated2,4,42”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Rogelj, J. et al. Paris Agreement climate proposals need a boost to keep warming well below 2 degrees C. Nature 534, 631–639 (2016). source
Not checked in the free run.
- cites [4] Vandyck, T., Keramidas, K., Saveyn, B., Kitous, A. & Vrontisi, Z. A global stocktake of the Paris pledges: Implications for energy systems and economy. Glob. Environ. Change 41, 46–63 (2016). source
Not checked in the free run.
- cites [42] van Soest, H. L. et al. Early action on Paris Agreement allows for more time to change energy systems. Clim. Change 144, 165–179 (2017). source
Not checked in the free run.
May combine two claims.
Findingown dataProjections for final energy intensity show that the difference between the National policies scenario and the 2 °C scenarios is small for the European Union, Japan and the United States, somewhat larger and more uncertain for Brazil, and largest for China, India and the Russian Federation.
“Projections for final energy intensity give a different picture, where the difference between the National policies scenario and the 2 °C scenarios are small for the European Union, Japan and the United States, somewhat larger (and more uncertain) for Brazil, and largest for China, India and the Russian Federation (See Fig. 3).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
Findingown dataGlobal annual mitigation costs per GDP by 2030 under the national policies scenario are small, and increase to 0.9% (0.3%-2.2%) under the 2 °C scenario and to 1.3% (1.0%-4.0%) under the 1.5 °C scenario.
“Global annual mitigation costs per GDP by 2030, under the national policies scenario, are small, and increase to 0.9% (0.3%–2.2%) under the 2 °C scenario, and to 1.3% (1.0%–4.0%) under the 1.5 °C scenario (see Fig. 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
Findingown dataBetween 42 and 94% of the high-impact policies from the seven G20 economies were implemented in the nine IAMs considered in this paper, and these are estimated to represent 50 to 100% of possible greenhouse gas reductions.
“Between 42 and 94% of the high-impact policies from the seven G20 economies were implemented in the nine IAMs considered in this paper, and are estimated to represent 50 to 100% of possible greenhouse gas reductions (see Supplementary Note 2 and Supplementary Table 5).”
Quote in the paperSubstantial claim- The authors state this as an assumption: If a policy instrument would end before the policy target year, the instrument is assumed to continue until the target year of the aspirational goal.
- The authors state this as an assumption: Where a G20 country is part of a larger model region, the policy indicator is aggregated by assuming business-as-usual for those countries without policies and implementation of the policy for countries with policies.
- The authors state this as an assumption: Equivalent effort after 2030 is assumed, defined as a constant percentage reduction relative to the No new policies scenario or similar forms of continued ambition.
May combine two claims.
Findingown dataTo close the 2 °C gap by 2030 relative to the National policies scenario, global emissions need to be reduced by 36% (23-49%), and to close the 1.5 °C gap, by 45% (33-65%).
“This is respectively a global reduction of 36% (23–49%) and 45% (33–65%) by 2030 relative to the national policies scenario.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
Findingnone givenCurrent national climate policy implementation is weak and includes significant gaps, for example in industry and freight transport policies.
“The current policy implementation is weak and includes significant gaps (e.g., industry, freight transport policies).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf the total impact on emission growth under the National policies scenario, the policy impact is around one third, and a somewhat larger part is real uncertainty.
“Of the total impact, the policy impact is around one third, and a somewhat larger part is real uncertainty.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the 1.5 °C case, the non-fossil share would need to increase by 13.0% (7.2%-24.0%) and energy intensity would need to improve by 17.5% (12.5%-26.8%).
“These numbers are 13.0% (7.2%–24.0%) and 17.5% (12.5%–26.8%) for the 1.5 °C case (see Fig. 3).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
Findingown dataThe gaps for the seven countries can be closed by increasing the low-carbon share of final energy by 5.4 pp for the European Union to 8.5 pp for China to stay below 2 °C, and between 5.4 pp in the European Union to 20.2 pp in China for the 1.5 °C case.
“These gaps can be closed by strongly increasing the low-carbon share of final energy by 5.4 pp for the European Union to 8.5 pp for China to stay below 2 °C, and between 5.4 pp in the European Union to 20.2 pp in China for the 1.5 °C case.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
FindingreasoningAssumptions on socio-economic factors explain the largest part of the ranges in the results for 2030, while differences in policy impact explain about one third of them.
“Based on this analysis, it can be concluded that assumptions on socio-economic factors explain the largest part of the ranges in the results for 2030; while the differences in policy impact explain about 1/3 of them.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe impact of historical calibration on the projected global growth in emissions between 2015 and 2030 is small; this growth is much more dependent on socio-economic factors such as GDP and population growth.
“This shows that the impact of historical calibration on the projected global growth in emissions between 2015 and 2030 is small; this growth is much more dependent on socio-economic factors such as GDP and population growth.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningTo close the 2 °C gap by 2030, the non-fossil share would need to increase by 6.9 pp (4.0%-12.3%) and energy intensity would need to improve by 9.6% (4.8%-24.7%).
“To close the gap by 2030 with the National policies scenario, the non-fossil share would need to increase by 6.9 pp (4.0%–12.3%) (energy mix gap), and the energy-intensity needs to improve by 9.6% (4.8%–24.7%)) (efficiency improvement gap).”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
May combine two claims.
InterpretationreasoningThe European Union, United States and Brazil do not achieve their NDC with national policies, but their ambition gap is smaller because their NDCs are close to the cost-optimal 2 °C pathways.
“while this is not the case for the European Union, United States and Brazil, but their ambition gap is smaller as NDCs are close to the cost-optimal 2 °C pathways.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe Paris Agreement objective is to hold average global warming to well below 2 °C above pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5 °C.
“The objective of the Paris Climate Agreement is to hold average global warming to well below 2 °C above pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5 °C1.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] UNFCCC. Paris Agreement, Decision 1/CP.21 (UNFCCC, 2015).
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenTo evaluate coherence of national pathways, the aggregated results of the integrated assessment models were compared with similar runs of national models for the same countries.
“To evaluate the coherence of the national pathways, we compared the aggregated results of the integrated assessment models with similar runs of national models for the same countries.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataFull implementation of conditional NDCs would close the global implementation gap but would still leave a significant ambition gap.
“which would close the global implementation gap, but would still leave a significant ambition gap.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
Classified as probably not a substantial claim.
PremisecitationPrevious studies have shown that taken together, NDCs and national policies fall significantly short of the overall ambition of the Paris Agreement.
“Previous studies have highlighted that taken together, the NDCs and national policies fall significantly short of the overall ambition of the Paris Agreement2–4.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Rogelj, J. et al. Paris Agreement climate proposals need a boost to keep warming well below 2 degrees C. Nature 534, 631–639 (2016). source
Not checked in the free run.
- cites [3] Vrontisi, Z. et al. Enhancing global climate policy ambition towards a 1.5 °C stabilization: a short-term multi-model assessment. Environ. Res. Lett. 13, 44039 (2018). source
Not checked in the free run.
- cites [4] Vandyck, T., Keramidas, K., Saveyn, B., Kitous, A. & Vrontisi, Z. A global stocktake of the Paris pledges: Implications for energy systems and economy. Glob. Environ. Change 41, 46–63 (2016). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe nine integrated assessment models used in this study have all submitted data for the 1.5 °C scenarios to the IPCC 1.5 °C report.
“The nine integrated assessment models (see Methods) used in this study have all submitted data for the 1.5 °C scenarios to the IPCC 1.5 °C report9.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] IPCC. Chapter 2: Mitigation Pathways Compatible with 1.5 °C in the Context of Sustainable Development (IPCC, 2018).
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Study design and conductnone givenA multi-model approach using a range of model types adds to the robustness of the assessment.
“Such a multi-model approach using a range of model types (simulation/optimisation, general or partial equilibrium) adds to the robustness of the assessment.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationThe range of outcomes across integrated assessment models is a result of differences in historical emissions, different assumptions about socio-economic growth rates, different impact of policy implementation in models, and real uncertainty from structural model differences.
“This range is a result of the differences in historical emissions21, different assumptions about socio-economic growth rates, different impact of policy implementation in models, and finally real uncertainty as a result of structural model differences (see Methods).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Rogelj, J. et al. Understanding the origin of Paris Agreement emission uncertainties. Nat. Commun. 8, 15748 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningCost-optimal implementation results in measures being implemented in countries where this is cheapest, but this does not imply that the implementing country would need to face all the costs.
“The result is implementation of measures in countries where this is cheapest, but this does not imply that the implementing country would need to face all the costs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningMitigation costs can be shared, and thus financed by other countries.
“These costs can be shared, and thus financed by other countries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMAC cost measures tend to exclude existing distortions in the economy.
“MAC cost measures tend to exclude existing distortions in the economy42.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] van Soest, H. L. et al. Early action on Paris Agreement allows for more time to change energy systems. Clim. Change 144, 165–179 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningIf less cooperation between countries is assumed, a different allocation would increase total costs of implementation.
“If less cooperation between countries is assumed, a different allocation would increase total costs of implementation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe 2 °C and 1.5 °C pathways in this study are calculated assuming cost-optimal implementation, but this might not be the most realistic approach to deriving national reduction targets, as it would typically lead to relatively high costs in low-income countries.
“In all, 2 °C and 1.5 °C pathways in this study are calculated assuming cost-optimal implementation, but it might not be the most realistic approach to deriving national reduction targets, as it would typically lead to relatively high costs in low-income countries.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningIf cost-effective climate policy would be adopted, emission trading or transnational climate financing could still ensure a cost-optimal implementation.
“If cost-effective climate policy would be adopted, emission trading or transnational climate financing could still ensure a cost-optimal implementation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningTo maintain the window to well below 2 °C or 1.5 °C, all countries would need to accelerate the implementation of renewable technologies, while efficiency improvements are especially important in emerging countries (China, India, Brazil) and fossil-fuel-dependent countries (Russian Federation).
“In order to do so, all countries would need to accelerate the implementation of renewable technologies, while efficiency improvements are especially important in emerging countries (China, India, Brazil) and fossil-fuel-dependent countries (Russian Federation).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataComparison of global model results with national model outcomes confirms the above trends, although absolute levels differ in a few cases.
“We have compared the results of the global models also to the outcomes of the same scenarios from national models from each individual country. These results confirm the above trends, although the absolute levels differ in a few cases (Figs. 1 and 2)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrevious literature has shown that inadequate near-term reduction efforts imply a substantially higher rate of transformation to comply with the 2 °C limit, stranded assets, substantially higher mitigation costs in the long term, and reduced techno-economic mitigation potential due to carbon lock-in.
“Previous literature has shown that inadequate near-term reduction efforts imply that a substantially higher rate of transformation will be needed to comply with the 2 °C limit11, stranded assets25 and substantially higher mitigation costs in the long term, and reduced techno-economic mitigation potential due to carbon lock-in26.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [11] Riahi, K. et al. Locked into Copenhagen pledges—implications of short-term emission targets for the cost and feasibility of long-term climate goals. Technol. Forecast. Soc. Change 90, 8–23 (2015). source
Not checked in the free run.
- cites [25] Mercure, J. F. et al. Macroeconomic impact of stranded fossil fuel assets. Nat. Clim. Change 8, 588–593 (2018). source
Not checked in the free run.
- cites [26] Davis, S. J., Caldeira, K. & Matthews, H. D. Future CO2 emissions and climate change from existing energy infrastructure. Science 329, 1330–1333 (2010). source
Not checked in the free run.
May combine two claims.
Interpretationown dataUnless governments increase ambition, the collective effort of current national policies significantly stays short of the objectives of the Paris Agreement and even fails to meet the joint ambition secured in NDCs.
“Unless governments increase ambition, the collective effort of current national policies significantly stays short of the objectives of the Paris Agreement and even fails to meet the joint ambition secured in NDCs.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenVery recent policy updates since 2017, or planned policies in the pipeline to be implemented, were not included in the analysis.
“Note that very recent policy updates since 2017, or planned policies in the pipeline to be implemented were not included.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIntegrated assessment models describe key processes in the interaction of human development and the natural environment and are designed to assess the implications of achieving climate objectives.
“Integrated assessment models (IAMs) describe key processes in the interaction of human development and natural environment and are designed to assess the implications of achieving climate objectives2,34.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [2] Rogelj, J. et al. Paris Agreement climate proposals need a boost to keep warming well below 2 degrees C. Nature 534, 631–639 (2016). source
Not checked in the free run.
- cites [34] UNEP. The Emissions Gap report 2016 (UNEP, 2016).
Not checked in the free run.
The paper relies on this without support.
The success of the Paris Agreement critically depends on the implementation of climate policies at the national level.
“While this objective is formulated at the global level, the success of the agreement critically depends on the implementation of climate policies at the national level.”
The authors state this as an assumption.
Countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.
“and in addition assume countries pursue the same national efforts between 2030 and 2050 under the National policies scenario by keeping total percentage emission reductions relative to the No new policies scenario constant.”
The authors state this as an assumption.
The 2 °C and 1.5 °C pathways are calculated assuming cost-optimal implementation.
“In all, 2 °C and 1.5 °C pathways in this study are calculated assuming cost-optimal implementation”
The authors state this as an assumption.
If a policy instrument would end before the policy target year, the instrument is assumed to continue until the target year of the aspirational goal.
“If the policy instrument would end before the policy target year, we assumed continuation of this instrument until the target year of the aspirational goal.”
The authors state this as an assumption.
Where a G20 country is part of a larger model region, the policy indicator is aggregated by assuming business-as-usual for those countries without policies and implementation of the policy for countries with policies.
“In case a G20 country is part of a larger model region, the policy (indicator) is aggregated by assuming business-as-usual for those countries without policies, and implementation of the policy for countries with policies32.”
The authors state this as an assumption.
Equivalent effort after 2030 is assumed, defined as a constant percentage reduction relative to the No new policies scenario or similar forms of continued ambition.
“The national policies were implemented for the period from 2010 to 2030, and equivalent effort was assumed after 2030.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Localized climate goals have been enacted in countries with robust federal climate goals.
“Localized climate goals have been enacted in countries with robust federal climate goals (3).”
From A framework for localizing global climate solutions and their carbon reduction potential (2021) · cites this paper as [3]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
US policy-reduction estimate differs from Table 2
MajorThe text reports a US reduction of 10% (4-12%), but Table 2 reports 6% (4-13%). The text also presents the US as the upper end of the country range, whereas Table 2 gives the European Union a higher median reduction of 9%.
“Policy implementation is estimated to result in reductions of 0% (0–2%) for the Russian Federation to 10% (4–12%) for the United States, relative to the no new policies scenario (see Table 2).”
“| United States | 0.4 (0.3, 1.2) | 6 (4, 13) | 2.1 (1.5, 3.2) | 31 (22, 38) |”
US implementation-gap estimate differs from Table 2
MajorThe text gives the US implementation gap as 28% (22-37%), while Table 2 gives 31% (22-38%).
“Implementation of national policies still leaves an implementation gap with NDCs of 3% (3–7%) for the Russian Federation to 28% (22–37%) for the United States (see Table 2).”
“| United States | 0.4 (0.3, 1.2) | 6 (4, 13) | 2.1 (1.5, 3.2) | 31 (22, 38) |”
Table 3 mislabels three emissions-gap columns
MinorTable 3 labels its second results column as an absolute 2 °C gap, its third as a percentage 1.5 °C gap, and its fourth as a percentage 2 °C gap. The results text identifies the corresponding world values as 36% for 2 °C, 28.2 GtCO2eq for 1.5 °C, and 45% for 1.5 °C.
“| | Absolute emissions gap between national policies and 2 °C scenarios | Absolute emissions gap between national policies and 2 °C scenarios | Emissions gap in percentages between national policies and 1.5 °C scenarios | Emissions gap in percentages between national policies and 2 °C scenarios |”
“and 28.2 GtCO2eq (19.8–42.2) for the 1.5 °C limit (see Table 3 and Fig. 3). This is respectively a global reduction of 36% (23–49%) and 45% (33–65%) by 2030 relative to the national policies scenario.”
Russian implementation-gap range omits negative values shown in Table 2
MinorThe text reports a Russian Federation implementation-gap range of 3-7%, but Table 2 reports −3-7%.
“Implementation of national policies still leaves an implementation gap with NDCs of 3% (3–7%) for the Russian Federation to 28% (22–37%) for the United States (see Table 2).”
“| Russian Federation | 0.0 (0, 0) | 0 (0, 2) | 0.1 (–0.1, 0.2) | 3 (–3, 7) |”
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Νίκας, Α., Elia, A., Boitier, B., Koasidis, K., Doukas, H., Cassetti, G., Anger-Kraavi, A., Bui, H., Campagnolo, L., Miglio, R. D., et al. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148549 · Cited by 43 · see citing works
Self-citation
- Authors
- Roelfsema, M., van Soest, H. L., Harmsen, M., van Vuuren, D. P., Bertram, C., den Elzen, M., Höhne, N., Iacobuta, G., Krey, V., Kriegler, E., Luderer, G., Riahi, K., Ueckerdt, F., Després, J., Drouet, L., Emmerling, J., Frank, S., Fricko, O., Gidden, M., Humpenöder, F., Huppmann, D., Fujimori, S., Fragkiadakis, K., Gi, K., Keramidas, K., Köberle, A. C., Aleluia Reis, L., Rochedo, P., Schaeffer, R., Oshiro, K., Vrontisi, Z., Chen, W., Iyer, G. C., Edmonds, J., Kannavou, M., Jiang, K., Mathur, R., Safonov, G., & Vishwanathan, S. S.
- Affiliations
- Utrecht University (NL)
- Netherlands Environmental Assessment Agency (NL)
- Leibniz Association (DE)
- NewClimate Institute (DE)
- International Institute for Applied Systems Analysis (AT)
- European Commission (BE)
- RFF-CMCC European Institute on Economics and the Environment (IT)
- Kyoto University (JP)
- National Technical University of Athens (GR)
- Research Institute of Innovative Technology for the Earth (JP)
- Universidade Federal do Rio de Janeiro (BR)
- Tsinghua University (CN)
- Joint Global Change Research Institute (US)
- National Development and Reform Commission (CN)
- Energy and Resources Institute (IN)
- Indian Institute of Management Ahmedabad (IN)
- Corresponding author
- Roelfsema, Mark
- ORCID
- Roelfsema, Mark
- Harmsen, Mathijs
- van Vuuren, Detlef P.
- Bertram, Christoph
- den Elzen, Michel
- Höhne, Niklas
- Krey, Volker
- Kriegler, Elmar
- Luderer, Gunnar
- Riahi, Keywan
- Ueckerdt, Falko
- Després, Jacques
- Drouet, Laurent
- Emmerling, Johannes
- Frank, Stefan
- Fricko, Oliver
- Gidden, Matthew
- Humpenöder, Florian
- Huppmann, Daniel
- Fujimori, Shinichiro
- Fragkiadakis, Kostas
- Gi, Keii
- Keramidas, Kimon
- Köberle, Alexandre C.
- Rochedo, Pedro
- Schaeffer, Roberto
- Oshiro, Ken
- Vrontisi, Zoi
- Chen, Wenying
- Iyer, Gokul C.
- Edmonds, Jae
- Kannavou, Maria
- Jiang, Kejun
- Mathur, Ritu
- Safonov, George
- Vishwanathan, Saritha Sudharmma
- Venue
- Nature Communications
- Published
- 2020-04-29
- Volume
- 11
- Issue
- 1
- Pages
- 2096-2096
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7190619
- OpenAlex
- W3021969666
- Semantic Scholar
- 5293b34dc2aedce731eedcf7271965fa168c0753
- Cited by
- 467
- References
- 34
- Citations by year
- 2026: 51 · 2025: 78 · 2024: 79 · 2023: 77 · 2022: 76 · 2021: 85 · 2020: 20 · 2019: 1
- FWCI
- 54.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by)
- IIASA PURE (International Institute of Applied Systems Analysis) (acceptedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- RENATE (submittedVersion, cc-by-nc-nd)
- Joint Research Centre (European Commission) (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
- Kyoto University Research Information Repository (Kyoto University) (submittedVersion, cc-by)
- VU Research Portal (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- RENATE (cc-by)
- Funders
- Environmental Restoration and Conservation Agency (2-1702, 2-1908)
- European Commission (21020701/2017/770447/SER/CLIMA.C.1 EuropeAid/138417/DH/SER/MulitOC, HORIZON2020, 642147, 821471)
- Indian Institute of Management Ahmedabad
- Tsinghua University
- Korea Advanced Institute of Science and Technology
- National Research University Higher School of Economics
- Environment and Climate Change Canada
- National Development and Reform Commission
- International Institute for Applied Systems Analysis
- Institut Teknologi Bandung
- National Cancer Institute
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
- Keywords
- Paris Agreement, Nationally Determined Contributions, climate policy implementation, emissions gap, Global Stocktake, 2°C target, 1.5°C target, renewable energy deployment, energy efficiency, emerging markets, climate change mitigation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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