A rapid transition away from unabated coal use is essential to fulfilling the Paris climate goals. However, many countries are actively building and operating coal power plants. Here we use plant-level data to specify alternative trajectories for coal technologies in an integrated assessment model. We then quantify cost-effective retirement pathways for global and country-level coal fleets to limit long-term temperature change. We present our results using a decision-relevant metric: the operational lifetime limit. Even if no new plants are built, the lifetimes of existing units are reduced to approximately 35 years in a well-below 2 °C scenario or 20 years in a 1.5 °C scenario. The risk of continued coal expansion, including the near-term growth permitted in some Nationally Determined Contributions (NDCs), is large. The lifetime limits for both 2 °C and 1.5 °C are reduced by 5 years if plants under construction come online and 10 years if all proposed projects are built.

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. We 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. We develop and analyze a novel dataset of 657 U.S. cleantech startups and 2,015 alliances with governments, firms, research organizations, and not-for-profit organizations from 2008 to 2012 and analyze short-term firm outcomes from the different alliances. Our findings highlight the importance of governmental partners in technology development alliances to catalyze cleantech startup innovation (the patenting activity of cleantech startups increases by 73.7 percent with every additional governmental technology alliance when compared to those startups that did not engage in such alliances) and as quality signals to private sector investors for licensing alliances (private financing deals increase by 155 percent for every additional license from a government organization). Overall, these findings extend the alliance perspectives on innovation,

No abstract

We analyze and contrast how China and India mobilized financial resources to build domestic technological innovation systems in wind energy. To that end, we identify distinct stages of technology diffusion in the two countries in the period 1986-2012, and analyze the interplay between public policies and the development of the technological innovation system across the different stages. We show that the two countries' distinct development strategies for wind energy-China developed wind energy largely through its state-owned enterprises, while India opened up wind energy investment to the private sector in the early 1990sinfluenced system outcomes in terms of technology diffusion, domestic industry structure, competitiveness, and ownership. By unraveling the interplay between public policies, investment risks and returns, and actor characteristics, we explain the differences in system outcomes and identify important policy trade-offs between the two strategies. Our analysis provides novel insights about the process of financial resource mobilization in technological innovation systems, the dynamics of innovation-system growth, and the policy trade-offs that must be reconciled by countries that aim to promote the diffusion of a particular technology.

No abstract