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.

This document contains September 2015 updates to our database on U.S. government investments in energy research, development, demonstration, and deployment (ERD3) through the Department of Energy. The database, in Microsoft Excel format, tracks DOE appropriations from FY 1978–2015 and the 2016 budget request and includes funding for ERD3 from the American Recovery and Reinvestment Act of 2009. It also includes several charts.

Water, energy, and food security are of critical concern as rising population growth and rapid urbanization place greater pressure on our natural resources. This study evaluates the growing internationalization of food production in water-scarce countries using the case of Saudi Arabia as a microcosm to illustrate the tradeoffs in resource consumption associated with crop selection and farming practices.

Local acceptance of wind energy technology has become an important factor to consider when designing local and national wind energy technological innovation policies. Previous studies have investigated the factors that shape the local acceptance of wind power in high-income countries. However, to the best of the authors' knowledge, these factors had not been investigated in China. Utilizing a survey and quantitative analysis, the authors have identified the factors that are correlated with local acceptance of wind power in China.

Knowing the carbon emission baseline of a region is a precondition for any mitigation effort, but the baselines are highly dependent on the system boundaries for which they are calculated. On the basis of sectoral energy statistics and a nested provincial and global multi-regional input–output model, the authors calculate and compare four different system boundaries for China's 30 provinces and major cities.

The promise, prospects, and public policy trade-offs related to the greater use and production of second-generation biofuels were addressed in an executive session convened by the Harvard Kennedy School on November 13 and 14, 2014. The session attracted more than 25 of the world's leading experts from the fields of policy, science, and business for an intensive two day session. The agenda consisted of three sessions focused on (i) the sustainability of cellulosic supply chains, (ii) government policy options to attract investment and (iii) government policy options to ensure that environmental objectives are met.

Some of America's most distinguished leaders in academia, science, and technology gathered at Harvard on September 19 and 20, 2014, to celebrate the 75th birthday of renowned Harvard scientist Venkatesh "Venky" Narayanamurti — and to discuss the future of innovation in America.

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.

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.