Science, Technology, and Public Policy

The nuclear weapons taboo is considered one of the strongest norms in international politics. A prohibition against using nuclear weapons has seemingly shaped state behavior for nearly seven decades and, according to some observers, made nuclear use ‘unthinkable’ today or in the future. Although scholars have shown that nuclear aversion has affected decision-making behavior, important questions about the nuclear taboo remain unanswered. This article seeks to answer a basic question: How durable is the taboo? We develop different predictions about norm durability depending on whether the taboo is based primarily on moral logic or strategic logic. We use the comparable case of the norm against strategic bombing in the 20th century to evaluate these hypotheses. The logic and evidence presented in this paper suggest that the norm of nuclear non-use is much more fragile than most analysts understand.

Some experts are increasingly concerned that China’s modernization will lead to a Chinese nuclear “breakout”—a pursuit of a nuclear-warfighting capability or a “sprint to parity” with the United States. David Logan (“Hard Constraints on a Chinese Nuclear Breakout,” Vol. 24, Nos. 1–2, 2017, pp. 13–30) rightly suggests that such a nuclear breakout would be constrained not only by China’s “soft” nuclear policy but also by “hard” technical constraints. I would emphasize that it is the former that has been the first principle guiding China’s nuclear-force development. That some of the “hard” technical constrains have resulted from this “soft” guidance demonstrates China’s commitment to a small deterrent force. It is difficult to imagine that the future development of China’s nuclear force would eventually overthrow these first principles. In fact, there is no evidence that China will change its long-standing nuclear policy.

If we had the technology to detect nuclear materials remotely it could help deter smuggling and make it easier to monitor international nuclear agreements. Several recent breakthroughs, if followed up with continued research and funding, could deliver on this promise. They include technological advances in x-ray and neutron radiography; a method that measures how plasma breaks down when exposed to a radioactive source; and developments in antineutrino detection. While all require more development and testing, they are important steps as the global need for ways to detect nuclear materials grows.

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.

China is the world's largest emitter of carbon dioxide, accounting for one-quarter of the global total in 2013. Although the country has successfully lowered the rate of emissions from industry in some cities through improved technology and energy-efficiency measures, rapid economic growth means that more emissions are being added than removed. Without mitigation, China's CO2 emissions will rise by more than 50% in the next 15 years.

China committed itself to reduce the carbon intensity of its economy (the amount of CO2 emitted per unit of GDP) by 40–45% during 2005–2020. Yet, between 2002 and 2009, China experienced a 3% increase in carbon intensity, though trends differed greatly among its 30 provinces. Decomposition analysis shows that sectoral efficiency gains in nearly all provinces were offset by movement towards a more carbon-intensive economic structure.

The key findings derived from this study improve the understanding of the effects of China's domestic investment on its energy consumption expansion and reflect the fact that China's rapid urbanization and industrialization processes are among the main reasons for the large amount of energy consumption in China. The authors provide some quantitative information for further determining the energy-saving potentials of China's economy during these processes.

Using the bidding prices of participants in China's national wind project concession programs from 2003 to 2007, this paper built up a learning curve model to estimate the joint learning from learning-by-doing and learning-by-searching, with a novel knowledge stock metric based on technology adoption in China through both domestic technology development and international technology transfer. The paper describes, for the first time, the evolution of the price of wind power in China, and provides estimates of how technology adoption, experience building wind farm projects, wind turbine manufacturing localization, and wind farm economies of scale have influenced the price of wind power.