Articles

President Trump has proposed severe cuts to US government spending on energy research, development and demonstration, but Congress has the 'power of the purse' and can rescue US energy innovation. If serious cuts are enacted, the pace of innovation will slow, harming the economy, energy security and global environmental quality.

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 Renewable Fuel Standard (RFS) is among the cornerstone policies created to increase U.S. energy independence by using biofuels. Although greenhouse gas emissions have played a role in shaping the RFS, water implications are less understood. We demonstrate a spatial, life cycle approach to estimate water consumption of transportation fuel scenarios, including a comparison to current water withdrawals and drought incidence by state. The water consumption and land footprint of six scenarios are compared to the RFS, including shale oil, coal-to-liquids, shale gas-to-liquids, corn ethanol, and cellulosic ethanol from switchgrass.

This article reviews the concept of an energy technology innovation system (ETIS). The ETIS is a systemic perspective on innovation comprising all aspects of energy transformations (supply and demand); all stages of the technology development cycle; as well as all the major innovation processes, feedbacks, actors, institutions, and networks.

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.

This paper attempts to present a full picture of the current status and future trends of China's oil development through system analysis. The authors design three scenarios of China's oil demand in 2030 and analyze policy implications for oil conservation, automotive energy development, and energy security. From their analysis, they draw some conclusions for policy decisions, such as controlling total oil consumption to avoid energy security risks, enhancing oil conservation in all sectors with the emphasis on road transportation, and increasing investment in oil production and refining to secure oil supply and reduce emissions.

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.