The authors examine the effect of real energy prices and a simulated carbon price on production and net imports. They find modest adverse competitiveness effects for energy-intensive industries.
The authors argue that the climate change global commons problem will be solved only through coherent carbon pricing. They discuss a roadmap for negotiating a uniform carbon price across countries, for verification of emissions reduction, and for a governance process to which countries would commit.
The authors explore several approaches to an ambitious climate agreement in Paris in late 2015—including through carbon pricing.
By Joseph E. Aldy, Faculty Affiliate, Harvard Project on Climate Agreements
Inadequate policy surveillance has undermined the effectiveness of multilateral climate agreements. To illustrate an alternative approach to transparency, the author evaluated policy surveillance under the 2009 G-20 fossil fuel subsidies agreement. The Leaders of the Group of 20 nations tasked their energy and finance ministers to identify and phase-out fossil fuel subsidies. The G-20 leaders agreed to submit their subsidy reform strategies to peer review and to independent expert review conducted by international organizations.
This paper posits the conceptually useful allegory of a futuristic "World Climate Assembly" that votes on global carbon emissions via the basic principle of majority rule. Two variants are considered. One is to vote on a universal price (or tax) that is internationally harmonized, but the proceeds from which are domestically retained. The other is to vote on the overall quantity of total worldwide emissions, which are then distributed for free (via a pre-decided fractional subdivision formula) as individual allowance permits that are subsequently marketed in an international cap-and-trade system.
The authors consider the role of integrated assessment models in estimating the social cost of carbon—an estimation that is important in the formulation of U.S. climate policy.
Carbon taxes, which postpone extraction of fossil fuels and reduce cumulative carbon emissions, also have economic advantages over taxes on capital.
This discussion paper examines the potential role U.S. National Parks play in curbing greenhouse-gas (GHG) emissions through carbon sequestration—the process of moderating global climate change by removing carbon dioxide from the atmosphere and storing it in long-term mineral, organic, and oceanic reservoirs.
By Calestous Juma, Professor of the Practice of International Development; Director, Science, Technology, and Globalization Project; Principal Investigator, Agricultural Innovation in Africa and Katherine Gordon, Project Coordinator, Agricultural Innovation in Africa
Nearly two decades of experience have shown that agricultural biotechnology has the potential to address some of the world’s pressing challenges. Its potential, however, cannot be addressed in isolation. Instead it should be part of a larger effort to expand the technological options needed to address persistent and emerging agricultural challenges.
The aim of this paper is to review the evidence on global trends in the application of agricultural biotechnology and identify some of their salient benefits. The paper is cognizant that biotechnology alone cannot solve the world’s agricultural challenges. But even though it is not a silver bullet, it should still be included in the package of technological options available to farmers. The evidence available today suggests that public policy should appeal more to pragmatism and less to ideology when seeking solutions to global agricultural challenges.
"Electricity Technology Investments under Solar RD&D Uncertainty: How Interim Learning and Adaptation Affect the Optimal Decision Strategy"
By Nidhi R. Santen, Former Associate, Energy Technology Innovation Policy research group (ETIP), January 16–30, 2015; Former Project Manager, ETIP, July 2014–January 16, 2015; Former Fellow, ETIP, 2012–2014 and Laura Diaz Anadon, Associate, Environment and Natural Resources Program
The authors present a new modeling framework for studying optimal generating capacity and public RD&D investments in the electricity sector under decision-dependent RD&D uncertainty and learning.