Environment & Climate Change

In order to make R&D funding decisions to meet particular goals, such as mitigating climate change or improving energy security, or to estimate the social returns to R&D, policy makers need to combine the information provided in this study on cost reduction potentials with an analysis of the macroeconomic implications of these technological changes. The authors conclude with recommendations for future directions on energy expert elicitations.

A new study co-authored by researchers at Harvard Kennedy School's Belfer Center for Science and International Affairs, Duke University’s Nicholas Institute for Environmental Policy Solutions, and the University of Calgary provides the first comprehensive representation of changing water consumption patterns associated with fuel extraction and power generation.

Anna Goldstein is, at the moment, a scientist standing at a crossroad. Since her PhD from University of California, Berkeley is in chemistry, one might imagine Goldstein working in the lab. Instead, she’s at the Belfer Center researching the policy side of technology.

Sustainable development requires harnessing technological innovation to improve human well-being in current and future generations. However, poor, marginalized, and unborn populations too often lack the economic or political power to shape innovation processes to meet their needs. Issues arise at all stages of innovation, from invention of a technology through its selection, production, adaptation, adoption, and retirement.

Scientists from three universities demonstrate that buying a product made in China causes significantly higher carbon dioxide emissions than purchasing the same product made elsewhere.

International trade has become the fastest growing driver of global carbon emissions, with large quantities of emissions embodied in exports from emerging economies. International trade with emerging economies poses a dilemma for climate and trade policy: to the extent emerging markets have comparative advantages in manufacturing, such trade is economically efficient and desirable. However, if carbon-intensive manufacturing in emerging countries such as China entails drastically more CO2 emissions than making the same product elsewhere, then trade increases global CO2 emissions.

The Energy Technology Innovation Policy research group at the Harvard Kennedy School and the Tsinghua School of Public Policy and Management convened a workshop at Tsinghua University in Beijing on June 18–19, 2015 to build on the momentum created by the U.S.-China joint emissions agreement and the upcoming Paris negotiations. The objective of the Workshop was to discuss the current state of affairs in China, in the United States, and in selected other countries as well as academic research on: (1) the funding and allocation of government investments in R&D, with a particular focus in energy; (2) the impact of policy on private sector innovation in energy; and (3) the management of publicly funded R&D organizations.

The magnitude and growing annual rate of growth of China's carbon emissions make this country the major driver of global carbon emissions and thus a key focus for efforts in emissions mitigations. This report presents independent data on China's carbon emissions from 1950–2012, and provides a basis to support mitigation efforts and China's low-carbon development plan.

The Science, Technology, and Public Policy (STPP) Programis seeking a new colleague to manage, coordinate, and conduct research for a major research project. The project examines a wide range of issues focusing on innovations, climate mitigation, and sustainable energy alternatives in China, the United States, and the European Union.

Characterizing the future performance of energy technologies can improve the development of energy policies that have net benefits under a broad set of future conditions. In particular, decisions about public investments in research, development, and demonstration (RD&D) that promote technological change can benefit from (1) an explicit consideration of the uncertainty inherent in the innovation process and (2) a systematic evaluation of the tradeoffs in investment allocations across different technologies. To shed light on these questions, over the past five years several groups in the United States and Europe have conducted expert elicitations and modeled the resulting societal benefits. In this paper, the authors discuss the lessons learned from the design and implementation of these initiatives.