The Paris Agreement to the United Nations Framework Convention on Climate Change has achieved one of two key necessary conditions for ultimate success—a broad base of participation among the countries of the world. But another key necessary condition has yet to be achieved—adequate collective ambition of the individual nationally determined contributions. How can the climate negotiators provide a structure that will include incentives to increase ambition over time? An important part of the answer can be international linkage of regional, national, and sub-national policies, that is, formal recognition of emission reductions undertaken in another jurisdiction for the purpose of meeting a Party’s own mitigation objectives. A central challenge is how to facilitate such linkage in the context of the very great heterogeneity that characterizes climate policies along five dimensions: type of policy instrument, level of government jurisdiction, status of that jurisdiction under the Paris Agreement, nature of the policy instrument’s target, and the nature along several dimensions of each Party’s Nationally Determined Contribution. We consider such heterogeneity among policies, and identify which linkages of various combinations of characteristics are feasible; of these, which are most promising; and what accounting mechanisms would make the operation of respective linkages consistent with the Paris Agreement. 

Like many other states, Oregon has begun to pursue climate policies to attempt to fill the gap created by the lack of effective climate policy at the Federal level. After adopting a variety of policies to address climate change and other environmental impacts from energy use, Oregon is now contemplating the adoption of a greenhouse gas (GHG) cap-and-trade system. However, interactions between policies can have important consequences for environmental and economic outcomes. Thus, as Oregon considers taking this step, reconsidering the efficacy of its other current climate policies may better position the state to achieve long-run emission reductions at sustainable economic costs.

The utility business model and power generation industry are built upon a century-old legal regime. Federal and state laws are premised on power flowing from large-scale infrastructure to captive consumers paying regulated rates to a monopoly utility. Today, electric power and money can flow in the opposite directions. Services supplied through utility-owned distribution grids, including storage, energy production, and demand response, upend long-standing industry assumptions about infrastructure investments, consumer behavior, and rate setting. In doing so, distributed energy resource (DERs) threaten incumbent businesses and challenge entrenched regulatory regimes. Regulation of the electric industry is pervasive and will determine where DERs are deployed, the services they may provide, the prices they are paid, and who is allowed to own them. A threshold issue in addressing the future of DER regulation is the roles that federal and state regulators will play in making these decisions. This paper pieces together, from numerous FERC orders and federal court decisions, how the Federal Energy Regulatory Commission’s (FERC) jurisdiction over interstate wholesale energy sales and transmission service applies to DERs. It finds that FERC has disclaimed authority over DER sales that offset a ratepayer’s retail consumption but federal law applies to other sales. FERC’s current approach to these other energy transfers splits authority with state regulators based on various factors, including technology and location on the grid. This fragmented regulatory regime could doom DERs to segmented markets, preventing the creation of a coherent framework for DER development. This paper suggests that FERC should simplify the overlapping web of state and federal regulation by disclaiming jurisdiction over DER energy sales. Doing so would allow states to regulate sales by all types of DERs to local buyers, such as a utility or aggregator. States would then have clear authority to develop comprehensive DER development models. It would also free FERC from the potentially onerous task of directly regulating millions of small-scale resources, while allowing FERC to invite aggregations of DERs to sell directly into regional wholesale markets.

More than 660 million Indians live in areas that exceed the Indian National Ambient Air Quality Standard (NAAQS) for fine particulate (PM2.5) pollution. Our research suggests that if India were to meet its own standards, life expectancy would increase by more than one year on average. Moreover, if India were to meet the WHO’s air quality standard, its people would live about four years longer on average. The economic costs of pollution, through its impact on health care expenditures and workforce productivity, will be significant. Ascribing a monetary value to all of the damages created by pollution is difficult, but an estimate from the Organisation for Economic Co-operation and Development (OECD) suggests that ambient air pollution alone may cost India more than 0.5 trillion dollars per year (OECD 2014).

Electric vehicles (EVs) have advanced significantly this decade, owing in part to decreasing battery costs. Yet EVs remain more costly than gasoline fueled vehicles over their useful life. This paper analyzes the additional advances that will be needed, if electric vehicles are to significantly penetrate the passenger vehicle fleet.

Bailing out uneconomic power plants will do nothing to improve cyber security for the US energy sector or the subsidized plants themselves.

In Aesop’s fable, a swift hare races with a deliberate tortoise. In the end, the tortoise wins by taking a slow and steady approach. We argue that, given the economic constraints on US deployment of nuclear power, a ‘tortoise strategy’ is more prudent for US government nuclear R&D efforts.

The decline in the dollar’s exchange rate seems to have gathered momentum, in part because the person who has his signature on US currency, Treasury Secretary Steve Mnuchin, seems unperturbed by its weakness. If it continues, will energy costs spiral upward?

On December 19, 2017, the government of China announced that it is commencing development of a nationwide CO2 trading system, that when launched will become the world’s largest carbon trading system, annually covering about 3.5 billion tons of CO2 emissions in China’s electric power sector. That approaches twice the size of what is currently the … Continue reading "What Should We Make of China’s Announcement of a National CO2 Trading System?"

This paper introduces an approach for separately quantifying the contributions from renewables in decomposition analysis. So far, decomposition analyses of the drivers of national CO2 emissions have typically considered the combined energy mix as an explanatory factor without an explicit consideration or separation of renewables. As the cost of renewables continues to decrease, it becomes increasingly relevant to track their role in CO2 emission trends. Index decomposition analysis, in particular, provides a simple approach for doing so using publicly available data. We look to the U.S. as a case study, highlighting differences with the more detailed but also more complex structural decomposition analysis. Between 2007 and 2013, U.S. CO2 emissions decreased by around 10%—a decline not seen since the oil crisis of 1979. Prior analyses have identified the shale gas boom and the economic recession as the main explanatory factors. However, by decomposing the fuel mix effect, we conclude that renewables played an equally important role as natural gas in reducing CO2 emissions between 2007 and 2013: renewables decreased total emissions by 2.3–3.3%, roughly matching the 2.5–3.6% contribution from the shift to natural gas, compared with 0.6–1.5% for nuclear energy.

Pricing greenhouse gas emissions involves making trade-offs between consumption today and unknown damages in the (distant) future. The optimal carbon dioxide (CO2) price, thus, is based on society’s willingness to substitute consumption across time and across uncertain states of nature. Standard constant relative risk aversion preference specifications conflate the two. Moreover, they are inconsistent with observed asset valuations, based on a large body of work in macroeconomics and finance. This literature has developed a richer set of preferences that are more consistent with asset price behavior and separate risk across time and across states of nature. In this paper, we explore the implications of these richer preference specifications for the optimal CO2 price. We develop the EZ-Climate model, a simple discrete-time optimization model in which the representative agent has an Epstein-Zin preference specification, and in which uncertainty about the effect of CO2 emissions on global temperature and on eventual damages is gradually resolved over time. We embed a number of features including potential tail risk, exogenous and endogenous technological change, and backstop technologies. The EZ-Climate model suggests a high optimal carbon price today that is expected to decline over time as uncertainty about the damages is resolved. It also points to the importance of backstop technologies and to very large deadweight costs of delay. We decompose the optimal carbon price into two components: expected discounted damages and the risk premium. JEL code: D81, G11, Q54.

Many economists have long held that carbon pricing—either through a carbon tax or cap-and-trade—is the most cost-effective way to decarbonize energy systems, along with subsidies for basic research and development. Meanwhile, green innovation and industrial policies aimed at fostering low-carbon energy technologies have proliferated widely. Most of these predate direct carbon pricing. Low-carbon leaders such as California and the European Union (EU) have followed a distinct policy sequence that helps overcome some of the political challenges facing low-carbon policy by building economic interest groups in support of decarbonization and reducing the cost of technologies required for emissions reductions. However, while politically effective, this policy pathway faces significant challenges to environmental and cost effectiveness, including excess rent capture and lock-in. Here we discuss options for addressing these challenges under political constraints. As countries move toward deeper emissions cuts, combining and sequencing policies will prove critical to avoid environmental, economic, and political dead-ends in decarbonizing energy systems.

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.

The division of “basic” and “applied” research is embedded in federal R&D policy, exemplified by the separation of science and technology in the organizational structure of the US Department of Energy (DOE). In this work, we consider a branch of DOE that shows potential to operate across this boundary: the Advanced Research Projects Agency – Energy (ARPA-E). We construct a novel dataset of nearly 4,000 extramural financial awards given by DOE from 2010 to 2015, primarily to businesses and universities. We collect the early knowledge outputs of these awards from Web of Science and the United States Patent and Trademark Office. Compared to similar awards from other parts of DOE, ARPA-E awards are more likely to jointly produce both a publication and a patent, with at least 5 times higher odds. ARPA-E awards have been productive in creating new technology, without a detrimental effect on the production of new scientific knowledge. This observation suggests the unity of research activities which are often considered separate: that which produces discoveries and that which produces inventions.

The behavioral responses to taxes and subsidies are often subject to various behavioral biases and transaction costs—what we define as “microfrictions.” We develop a theoretical framework to show how these microfrictions—and their heterogeneity across the population and policy instruments— affect the design of Pigouvian policies. Standard Pigouvian pricing still holds with transaction costs, but requires adjustment with behavioral biases. We use transaction-level data from the US appliance market to estimate the heterogeneous behavioral responses to an array of energy fiscal policies and to quantify microfrictions. We then assess optimal fiscal policies and find that it is rarely optimal to couple a Pigouvian tax on energy with an investment subsidy in this context. We also find that energy labels—intended to increase the salience of energy information—can interact in perverse ways with both taxes and subsidies.

This article presents an overview of the design and performance of seven major emissions trading programs that have been implemented over the past 30 years and identifies a number of important lessons for future applications of this important environmental policy instrument. A brief discussion of several other proposed or implemented emissions trading programs is also included.