## GFSR Chapter 3 Oct. 2023 — dataset overview ## Source details **Canonical URL:** [GFSR Chapter 3 Oct. 2023 — dataset overview](https://www.imf.org/-/media/files/publications/gfsr/2023/october/data/ch3data.xlsx) ## Other formats - [Markdown version](/-/media/files/publications/gfsr/2023/october/data/ch3data.xlsx.md) - [Structured JSON version](/-/media/files/publications/gfsr/2023/october/data/ch3data.xlsx.json) --- ### Estimated Climate Investment Needs and Private Finance - Figure 3.1 title: "Estimated Climate Investment Needs and the Key Role of Private Finance" - Annual mitigation financing needs (selected items, Trillions of US dollars per annum): - Electricity system: 2.419 - Energy efficiency: 1.334 - Negative emission: 0.205 - Others: 1.025 - Aggregate totals (from dataset formulas): - Total (selected rows P7:P8 formula result): 2.359497289456338 - Total (selected rows Q7:Q8 formula result): 25.622348759438424 - EMDEs private financing share and estimated shares (percent / ratios as recorded): - EMDEs: 0.4046543050999083 - EMDEs (other measure): 0.759853021773593 - EMDEs (estimated share): 0.8799265108867965 - Baseline: 0.8198897663301947 - EMDEs excluding China: 0.4275655486904304 - EMDEs excluding China (other measure): 0.8528906876240749 - EMDEs excluding China (estimated share): 0.9264453438120375 - EMDEs excluding China (baseline): 0.8896680157180562 ### Renewable Energy Investment in EMDEs and Lithium Price Projections - Figure 3.2 title: "Renewable Energy Investment in EMDEs and Lithium Price Projections" - Renewable energy share ratios (Renewables/total Fossil Fuel): - Global historical samples (2015–2023): 0.310538286580743, 0.37710407239819005, 0.3824215246636771, 0.40640216411181246, 0.49240150093808627, 0.6706793802145412, 0.6407650273224044, 0.6679960119641076, 0.6998097050428164 - EMDEs excl China (2015–2023 sample): 0.10925619834710742, 0.1361336032388664, 0.13728991596638657, 0.16227659574468084, 0.22086746987951805, 0.2828828828828829, 0.28077134986225893, 0.2773955773955774, 0.26701357466063347 - EMDEs incl China (2015–2023 sample): 0.2629582806573957, 0.3384908536585366, 0.38014240506329117, 0.39728840125391846, 0.49482428115015975, 0.6322033898305085, 0.5979298245614035, 0.6418831168831168, 0.6495770392749245 - Lithium price / year samples and associated values: - Year labels and lithium values include: 2015–2023 (years listed), and specific dataset points: 1970 -> 1.7836317346902013; 71 -> 1.6654912338211982; 72 -> 1.669740951169832; 73 -> 1.6533874509111033 ### Fossil Fuels Investment Trends - Figure 3.3 title: "Fossil Fuels Investment Trends Are Not Yet Aligned with Climate Goals" - Capital expenditure in the coal industry by region (Billions of US dollars), sample years: - 2015: Export-oriented countries 19.8881083; India 12.056361224999996; China 49.966834874999996; USA 52.41879400000002; European Union 21.2046948; Rest of the world 67.37961522500001 - 2016: Export-oriented countries 14.610724775; India 11.061536025; China 48.817131575; USA 54.961997099999984; European Union 20.3472551; Rest of the world 59.070073199999996 - 2017: Export-oriented countries 15.437684200000003; India 10.8882238; China 48.31229564999999; USA 56.362655700000005; European Union 17.7937706; Rest of the world 62.198639475 - 2018: Export-oriented countries 17.686069475; India 10.467621875000003; China 48.65300652499999; USA 60.405632000000004; European Union 18.817611999999997; Rest of the world 66.82851367499998 - 2019: Export-oriented countries 16.855336849999997; India 10.149278599999999; China 54.07093505; USA 64.67548400000001; European Union 20.868935299999997; Rest of the world 73.22776212500001 - 2020: Export-oriented countries 11.88162115; India 10.316773925; China 64.41225285; USA 66.27800099999999; European Union 22.936584300000003; Rest of the world 71.62971002500001 - Oil & Gas versus Low-Carbon Capex samples (Billions of US dollars): - Oil & Gas Capex samples: 391.2125 (2015), 296.6565 (2016), 346.63640000000004 (2017), 404.9279 (2018), 391.66209999999995 (2019), 262.1783 (2020) - Low-Carbon Capex sample values: 2 (2015), 3 (2016), 4 (2017), 4 (2018), 5 (2019), 5 (2020) ### Banks and Insurers’ Climate Policies - Figure 3.4 title: "Banks and Insurers’ Climate Policies Lack Robust Alignment with Net Zero Targets, as Banks’ Loan Origination to Fossil Fuel Companies Remains Strong" - Assessment counts of insurers' sectoral policies (Number of insurers): - Limitation of financial services to coal expansion: Ambitious criteria 1; Relatively ambitious criteria 4; No policy or weak criteria 25 - Exclusion of project finance to coal mines, plants, and infrastructure: Ambitious criteria 7; Relatively ambitious criteria 17; No policy or weak criteria 6 - Net-zero-aligned coal phase-out policy: Ambitious criteria 5; Relatively ambitious criteria 6; No policy or weak criteria 19 - Syndicated loan origination to fossil fuel companies by 30 G-SIBs (sample years and totals): - Total origination (sample values): 2015 -> 230.191965307975; 2016 -> 137.517189153724; 2017 -> 177.903125813008 ### Sustainable Investment Funds - Figure 3.5 title: "Sustainable Investment Funds Are Growing Fast, But Their Climate Benefits Are Uncertain" - Assets under Management (AUM) of sustainable funds (Billions of US dollars) — sample monthly AUM and fund-label breakdowns: - 2010-01-01T00:00:00.000Z: Total ESG funds AUM 621.7934212067801; Sustainable themed funds 15.09233129139; Climate impact fund 32.397699819509995 - 2010-02-01T00:00:00.000Z: ESG 616.48919470105; Sustainable themed 15.36212147365; Climate impact 31.733602460849998 - 2010-03-01T00:00:00.000Z: ESG 634.86143307525; Sustainable themed 16.03295218083; Climate impact 32.55909036833 - 2010-04-01T00:00:00.000Z: ESG 638.00143770254; Sustainable themed 16.16170304314; Climate impact 32.10523534434 - 2010-05-01T00:00:00.000Z: ESG 588.20102263021; Sustainable themed 14.23943053457; Climate impact 27.748215935450002 - Funds allocation and portfolio carbon risk (selected metrics): - Yearly sample portfolio carbon risk score probability mass for conventional, sustainable themed, climate impact funds: 0; 0.0037292284319742695; 0.027566514303543208; 0.002866457640599825 (sample row) - Assets under management downgraded from Article 9 to Article 8 (selected dates): - 2022-03-01T00:00:00.000Z -> 0 - 2022-04-01T00:00:00.000Z -> 0 - 2022-05-01T00:00:00.000Z -> 4.74884753641 - 2022-06-01T00:00:00.000Z -> 4.16187554388 - 2022-07-01T00:00:00.000Z -> 4.38332510479 ### ESG, E, and Constructed Climate Impact Scores - Figure 3.6 title: "Newly Constructed Impact Scores versus E Scores" - Correlation coefficients of corporate scores with firms’ carbon intensity: - ESG scores correlation: 0.026810398254526784 - E scores correlation: 0.10253164812721687 - Climate impact scores correlation: -0.05354972964522221 - Additional correlation samples: - 0.04731041952296231; 2.8651390894143233e-14; 0.00007396074910628936 ### Figure Box 3.1.2 — Firms’ Emission Intensity and Economic Cost of Subsidies - Figure Box 3.1.2 title: "Firms’ Emission Intensity and the Economic Cost of Subsidies" - Drivers of emission intensity — coefficients (linear regression model): - Age of capital: Coefficient 0.0549029 - Share of intangibles: Coefficient -0.1657294 - TFP: Coefficient -0.1961076 - 95% CI Lower bound (Age of capital): 0.0331487 - 95% CI Lower bound (Share of intangibles): -0.1919839 - 95% CI Lower bound (TFP): -0.2237014 - 95% CI Upper bound (Age of capital): 0.0766571 - 95% CI Upper bound (Share of intangibles): -0.1394749 - 95% CI Upper bound (TFP): -0.1685139 - Impact on consumption for a 25 percent emission reduction — present-value percentage changes (sample scenarios): - wto baseline (in italics) / NPC labels shown with associated values for policy scenarios: - Carbon Tax: -0.002487401704689307 - R&D Subsidy: -0.040999495796170016 - Capital Subsidy: -0.15004933525098496 *Dataset: "GFSR Chapter 3 Oct. 2023" (selected figures and measured values as provided in the dataset) --- _Source: https://www.imf.org/-/media/files/publications/gfsr/2023/october/data/ch3data.xlsx_