J
John P. Weyant
Researcher at Stanford University
Publications - 125
Citations - 12081
John P. Weyant is an academic researcher from Stanford University. The author has contributed to research in topics: Climate change & Energy modeling. The author has an hindex of 39, co-authored 119 publications receiving 10785 citations. Previous affiliations of John P. Weyant include Lawrence Berkeley National Laboratory & Harvard University.
Papers
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Journal ArticleDOI
Oil and National Security: An Integrated Program for Surviving an Oil Crisis
Henry S. Rowen,John P. Weyant +1 more
TL;DR: In this article, a number of supply-side measures have been considered to soften any ill effect from a major interruption of Persian Gulf oil supplies, in addition to the use of oil stockpiles and emergency tariffs.
Strategic R&D Investment Under Uncertainty in Information Technology: Tacit Collusion and Information Time Lag ⁄
John P. Weyant,Tao Yao +1 more
TL;DR: In this article, a stochastic differential game framework for analyzing strategic exercise of options was developed for analyzing R&D competition in information technology investment projects with technical and market uncertainty.
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An overview of the Energy Modeling Forum 33rd study: assessing large-scale global bioenergy deployment for managing climate change
Steven K. Rose,Nicolas Bauer,Alexander Popp,John P. Weyant,Shinichiro Fujimori,Shinichiro Fujimori,Shinichiro Fujimori,Petr Havlik,Marshall Wise,Detlef P. van Vuuren,Detlef P. van Vuuren +10 more
TL;DR: The Energy Modeling Forum (EMF-33) as discussed by the authors is a multi-year inter-model comparison project designed to understand and assess global, long-run biomass supply and bioenergy deployment potentials and related uncertainties.
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Competing or coordinating: IT R&D investment decision making subject to information time lag
TL;DR: The results show that shorter information time lag may induce firms to coordinate their investments and avoid over-investment, and the threshold of information timelag developed in this paper can facilitate managerial decisions on whether to compete or coordinate R&D investments.
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The Energy Modeling Forum (EMF)-30 study on short-lived climate forcers: introduction and overview
Steven J. Smith,Zbigniew Klimont,Laurent Drouet,Mathijs Harmsen,Mathijs Harmsen,Gunnar Luderer,Gunnar Luderer,Keywan Riahi,Detlef P. van Vuuren,Detlef P. van Vuuren,John P. Weyant +10 more
TL;DR: The Energy Modeling Forum intercomparison study on short-lived climate forcers (EMF30) focuses on black carbon (BC) and methane (CH4), two of the most important warming SLCFs as discussed by the authors.