Science, Technology, and Public Policy

Accelerating innovation in clean energy technologies is a policy priority for governments around the world aiming to mitigate climate change and to provide affordable energy. Most research has focused on the role of governments financing R&D and steering market demand, but there is a more limited understanding of the role of direct government interactions with startups across all sectors. The authors  propose and evaluate the value-creation mechanisms of network resources from different types of partners for startups, highlighting the unique resources of government partners for cleantech startups. 

Several developing countries seek to build knowledge-based economies by attempting to expand scientific research capabilities. Characterizing the state and direction of progress in this arena is challenging but important. In this article, the authors employ three metrics: a classical metric of productivity (publications per person), an adapted metric which we denote as Revealed Scientific Advantage (developed from work used to compare publications in scientific fields among countries) to characterize disciplinary specialty, and a new metric, scientific indigeneity (defined as the ratio of publications with domestic corresponding authors) to characterize the locus of scientific activity that also serves as a partial proxy for local absorptive capacity.

This article sets forth the authors' perspective on how technological innovation can better advance the goals of sustainable development. The authors seek to help bridge the gap between scholarship and practice by drawing from conceptual research, empirical cases, and real-world experience to highlight practical guidelines for use by practicing scientists, engineers, entrepreneurs, and policy advocates.

This document contains March 2016 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 1978–2016 and the 2017 budget request and includes funding for ERD3 from the American Recovery and Reinvestment Act of 2009. It also includes several charts.

Understanding the long-term patterns of innovation in energy technologies is crucial for technology forecasting and public policy planning in the context of climate change. This paper analyzes which of two common models of innovation over the technology life-cycle — the product-process innovation shift observed for mass-produced goods or the system-component shift observed for complex products and systems — best describes the pattern of innovation in energy technologies.

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.