Energy Transition Metals
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- Boer, Lukas & Pescatori, Andrea & Stuermer, Martin, 2021. "Energy Transition Metals," MPRA Paper 110364, University Library of Munich, Germany.
- Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
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Cited by:
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- Miller, Hugh & Dikau, Simon & Svartzman, Romain & Dees, Stéphane, 2023. "The stumbling block in ‘the race of our lives’: transition-critical materials, financial risks and the NGFS climate scenarios," LSE Research Online Documents on Economics 118094, London School of Economics and Political Science, LSE Library.
- Hugh Miller & Simon Dikau & Romain Svartzman & Stéphane Dees, 2023. "The Stumbling Block in ‘the Race of our Lives’: Transition-Critical Materials, Financial Risks and the NGFS Climate Scenarios," Working papers 907, Banque de France.
- Thomas Allen & Mathieu Boullot & Stéphane Dées & Annabelle de Gaye & Noëmie Lisack & Camille Thubin & Oriane Wegner, 2023. "Using Short-Term Scenarios to Assess the Macroeconomic Impacts of Climate Transition," Working papers 922, Banque de France.
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- Francisco Ríos Muñoz & Camilo Peña Ramírez & José Meza & Tenzin Crouch, 2024. "Platinum Group Metals Extraction from Asteroids vs Earth: An Overview of the Industrial Ecosystems, Technologies and Risks," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(3), pages 681-700, September.
- Ghosh, Bikramaditya & Pham, Linh & Teplova, Tamara & Umar, Zaghum, 2023. "COVID-19 and the quantile connectedness between energy and metal markets," Energy Economics, Elsevier, vol. 117(C).
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More about this item
Keywords
Conditional forecasts; structural vector autoregressions; structual scenario analysis; energy transition; metals; fossil fuels; prices; climate change.; estimate supply elasticity; metals production; aggregate commodity demand shock; price risk; Metals; Metal prices; Copper; Supply elasticity; Global;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2022-01-10 (Agricultural Economics)
- NEP-ENE-2022-01-10 (Energy Economics)
- NEP-ENV-2022-01-10 (Environmental Economics)
Statistics
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