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In short, yes. I use a multi-region integrated assessment model with fuel-specific endogenous technical change to examine the impact of Europe and China reducing emissions to zero by mid-century. Without international technological diffusion this is insufficient to avoid catastrophic climate change. But when innovation can diffuse overseas, long-run temperature increases are limited to 3 degrees. This occurs because policy not only encourages green innovations but also dissuades dirty innovations which would otherwise spread. The most effective policy package in emissions-reducing regions is a research subsidy funded by a carbon tax, driven in the short term by the direct effect of the carbon tax on the composition of energy, and later by innovation induced by research subsidies. Green production subsidies are ineffective because they undermine incentives for innovation.
This book presents a series of papers that explore the extent to which technological innovation can lower the cost of achieving climate change mitigation objectives.
Handbook of International Economics, Fifth Edition provides a definitive reference and teaching supplement for researchers and advanced graduate students. It includes self-contained surveys of the current state of a branch of economics in the form of chapters prepared by leading specialists. These surveys summarize not only received results but also newer developments from journal articles and discussion papers. Some original material is included, but the handbook's main goal is to provide comprehensive and accessible surveys. While this is a useful reference for professional collections, it's also a great resource for supplementary readings for advanced courses for graduate students in economics. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Handbook of International Economics series - Includes self-contained surveys of the current state of a branch of economics in the form of chapters prepared by leading specialists
NEW YORK TIMES BESTSELLER NATIONAL BESTSELLER In this urgent, singularly authoritative book, Bill Gates sets out a wide-ranging, practical--and accessible--plan for how the world can get to zero greenhouse gas emissions in time to avoid an irreversible climate catastrophe. Bill Gates has spent a decade investigating the causes and effects of climate change. With the help and guidance of experts in the fields of physics, chemistry, biology, engineering, political science and finance, he has focused on exactly what must be done in order to stop the planet's slide toward certain environmental disaster. In this book, he not only gathers together all the information we need to fully grasp how important it is that we work toward net-zero emissions of greenhouse gases but also details exactly what we need to do to achieve this profoundly important goal. He gives us a clear-eyed description of the challenges we face. He describes the areas in which technology is already helping to reduce emissions; where and how the current technology can be made to function more effectively; where breakthrough technologies are needed, and who is working on these essential innovations. Finally, he lays out a concrete plan for achieving the goal of zero emissions--suggesting not only policies that governments should adopt, but what we as individuals can do to keep our government, our employers and ourselves accountable in this crucial enterprise. As Bill Gates makes clear, achieving zero emissions will not be simple or easy to do, but by following the guidelines he sets out here, it is a goal firmly within our reach.
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Much is written in the popular literature about the current pace of technological change. But do we have enough scientific knowledge about the sources and management of innovation to properly inform policymaking in technology dependent domains such as energy and the environment? While it is agreed that technological change does not 'fall from heaven like autumn leaves,' the theory, data, and models are deficient. The specific mechanisms that govern the rate and direction of inventive activity, the drivers and scope for incremental improvements that occur during technology diffusion, and the spillover effects that cross-fertilize technological innovations remain poorly understood. In a work that will interest serious readers of history, policy, and economics, the editors and their distinguished contributors offer a unique, single volume overview of the theoretical and empirical work on technological change. Beginning with a survey of existing research, they provide analysis and case studies in contexts such as medicine, agriculture, and power generation, paying particular attention to what technological change means for efficiency, productivity, and reduced environmental impacts. The book includes a historical analysis of technological change, an examination of the overall direction of technological change, and general theories about the sources of change. The contributors empirically test hypotheses of induced innovation and theories of institutional innovation. They propose ways to model induced technological change and evaluate its impact, and they consider issues such as uncertainty in technology returns, technology crossover effects, and clustering. A copublication o Resources for the Future (RFF) and the International Institute for Applied Systems Analysis (IIASA).
This book explores the concept of S-Risks, or suffering risks, and delves into their significance, distinguishing them from conspiracy theories and alarmism. It categorizes S-Risks into agential, natural, and incidental types, discussing the disjunctive nature and various factors influencing them. Examining technological progress, the existence of powerful agents, and unintended consequences, the book addresses societal values, ethical considerations, and specific risks like COVID-19, gain-of-function research, computer hacking, and social media impact. It thoroughly covers AI-related S-Risks, existential risks, misincentives, goal misalignment, adversarial AI, autonomous weapons, economic disruptions, surveillance, and privacy concerns. Additionally, it explores S-Risks associated with climate change, energy, activism, natural disasters, biological engineering, quantum technological outcomes, cosmic phenomena, social and economic experiments, cultural or memetic risks, and global consciousness networks. The book concludes by proposing a classification system for S-Risks and grouping S-Risk profiles.
This report examined how Finland has been incorporating anticipatory functions within its governance system to deal with complex and future challenges in a systemic way. The report applies a new model of anticipatory innovation governance (AIG), developed by the OECD, addressing a considerable gap in prior knowledge and guidance on how governments prepare for unknowable futures.
The warming of the Earth has been the subject of intense debate and concern for many scientists, policy-makers, and citizens for at least the past decade. Climate Change Science: An Analysis of Some Key Questions, a new report by a committee of the National Research Council, characterizes the global warming trend over the last 100 years, and examines what may be in store for the 21st century and the extent to which warming may be attributable to human activity.