caa a22 4500 467918252 CHVBK 20180406152909.0 cr unu---uuuuu 170328e20060901xx s 000 0 eng 10.1007/s10584-006-9092-8 doi (NATIONALLICENCE)springer-10.1007/s10584-006-9092-8 Optimal Technology R&D in the Face of Climate Uncertainty [Elektronische Daten] [Erin Baker, Leon Clarke, John Weyant] This paper explores optimal near-term technology R&D in the face of uncertain damages caused by the buildup of greenhouse gases. The paper puts particular emphasis on understanding how optimal near-term R&D expenditures might vary based on the technologies pursued in the R&D program. The exploration is conducted in the context of varying impacts from R&D on the global abatement cost function. The R&D planning problem is considered first within a theoretical framework and is then pursued in a stylized application using the DICE model. The paper provides intuition into the circumstances under which near-term technology R&D might increase or decrease under uncertainty, thereby serving as a hedge against climate uncertainty. Springer Science+Business Media, Inc., 2006 Baker Erin University of Massachusetts, 220 ELab, 01002, Amherst, MA, USA aut Clarke Leon Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, USA aut Weyant John Stanford University, Stanford, USA aut Climatic Change Kluwer Academic Publishers 78/1(2006-09-01), 157-179 0165-0009 78:1<157 2006 78 10584 https://doi.org/10.1007/s10584-006-9092-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10584-006-9092-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Baker Erin University of Massachusetts, 220 ELab, 01002, Amherst, MA, USA aut NATIONALLICENCE 700 1- Clarke Leon Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, USA aut NATIONALLICENCE 700 1- Weyant John Stanford University, Stanford, USA aut NATIONALLICENCE 773 0- Climatic Change Kluwer Academic Publishers 78/1(2006-09-01), 157-179 0165-0009 78:1<157 2006 78 10584 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer