Ocean carbon sinks and international climate policy

Terrestrial vegetation sinks have entered the Kyoto Protocol as offsets for anthropogenic greenhouse gas emissions, but ocean sinks have escaped attention. Ocean sinks are as unexplored and uncertain as were the terrestrial sinks at the time of negotiation of the Kyoto Protocol. It is not unlikely that certain countries will advocate the inclusion of ocean carbon sinks to reduce their emission reduction obligations in post-2012 negotiations. We use a simple model of the international market for carbon dioxide emissions to evaluate who would gain or loose from allowing for ocean carbon sinks. Our analysis is restricted to information on anthropogenic carbon sequestration within the exclusive economic zone of a country. We use information on the actual carbon flux and derive the human-induced uptake for the period from 1990 onwards. Like the carbon sequestration of business as usual forest management activities, natural ocean carbon sequestration applies at zero costs. The total amount of anthropogenic ocean carbon sequestration is large, also in the exclusive economic zones. As a consequence, it substantially alters the costs of emission reduction for most countries. Countries such as Australia, Denmark, France, Iceland, New Zealand, Norway and Portugal would gain substantially, and a large number of countries would benefit too. Current net exporters of carbon permits, particularly Russia, would gain less and oppose the inclusion of ocean carbon sinks.     

Nonparametric modeling of carbon prices

This paper constitutes the first exercise of nonparametric modeling applied to carbon markets. The framework of analysis is carefully detailed, and the empirical application unfolds in the case of BlueNext spot and ECX futures prices. The data is gathered in daily frequency from April 2005 to April 2010. First, we document the presence of strong nonlinearities in the conditional mean functions. Second, the conditional volatility functions reveal an asymmetric and heteroskedastic behavior which is dramatically different between carbon spot and futures logreturns. The results for spot prices are also robust to subsamples' decomposition. Third, we show in an out-of-sample forecasting exercise that nonparametric modeling allows reducing the prediction error by almost 15% compared to linear AR models. This latter result is confirmed by the Diebold–Mariano pairwise test statistic.     

Modeling endogenous technological change for climate policy analysis

The approach used to model technological change in a climate policy model is a critical determinant of its results in terms of the time path of CO₂ prices and costs required to achieve various emission reduction goals. We provide an overview of the different approaches used in the literature, with an emphasis on recent developments regarding endogenous technological change, research and development, and learning. Detailed examination sheds light on the salient features of each approach, including strengths, limitations, and policy implications. Key issues include proper accounting for the opportunity costs of climate-related knowledge generation, treatment of knowledge spillovers and appropriability, and the empirical basis for parameterizing technological relationships. No single approach appears to dominate on all these dimensions, and different approaches may be preferred depending on the purpose of the analysis, be it positive or normative.     

On the climate change effects of high oil prices

Some commentators claim that the oil market has achieved within a few months what international bureaucrats have struggled to obtain in a decade of international climate negotiations. The fallacy of the oil price argument is that substitutions and income effects that would result from higher oil prices are not considered. Using a computable general equilibrium model, we show that high oil prices cannot serve as substitutes for effective climate policies.     

Fuel taxes: An important instrument for climate policy

This article shows that fuel taxes serve a very important role for the environment and that we risk a backlash of increased emissions if they are abolished. Fuel taxes have restrained growth in fuel demand and associated carbon emissions. Although fuel demand is large and growing, our analysis shows that it would have been much higher in the absence of domestic fuel taxes. People often assert that fuel demand is inelastic but there is strong research evidence showing the opposite. The price elasticity is in fact quite high but only in the long-run: in the short run it may be quite inelastic which has important implications for policy makers. Had Europe not followed a policy of high fuel taxation but had low US taxes, then fuel demand would have been twice as large. Hypothetical transport demand in the whole OECD area is calculated for various tax scenarios and the results show that fuel taxes are the single most powerful climate policy instrument implemented to date—yet this fact is not usually given due attention in the debate.     

Quasi-option value and climate policy choices

In the climate change issue, the environmental irreversibility (risk of an acceleration of mitigation policies if the worst happens) has to be balanced with the investment irreversibility (risk of over-cautious policies). To explore this balance, we define an option value for a precautionary climate policy. Using the simplest decision-making model, we expose how option value relates to the expected value of future information. Using quantitative data from an integrated assessment model, we find that most of the time the environmental irreversibility dominates the investment irreversibility. For all cases explored here, the order of magnitude of the option value was significant, about 50% of the opportunity cost.     

America's bottom-up climate change mitigation policy

Many diverse actions can be taken to reduce greenhouse gas (GHG) emissions. Increasingly in the United States, policy-makers at sub-national levels are setting emission targets and implementing plans for sector-specific GHG reductions. In this paper, local, state, and regional policy actions in the US are inventoried and analyzed as to their potential effect on national emissions. The realization of all existing sub-national initiatives, as of September 2007, could stabilize US emissions at 2010 levels by the year 2020. The scale of these many decentralized mitigation actions, and their tendency to follow consistent steps, provide a counterpoint to oft-cited drawbacks of decentralized environmental policy. It also indicates that the US has been more committed to climate change mitigation than is generally acknowledged.     

Representing induced technological change in models for climate policy analysis

Induced technological change (ITC), whereby the relative price effects of reducing greenhouse gas emissions stimulate innovation that mitigates the cost of abatement, is both tantalizing to decision makers and challenging to represent in the computational economic and engineering models used to analyze climate change policy. This overview reconciles the divergent views of technology and technological change within different types of models, elucidates the theoretical underpinnings of ITC, introduces the reader to the techniques of their practical implementation, and evaluates the implications for models' results.     

Production functions for climate policy modeling: An empirical analysis

Quantitative models for climate policy modeling differ in the production structure used and in the sizes of the elasticities of substitution. The empirical foundation for both is generally lacking. This paper estimates the parameters of 2-level CES production functions with capital, labour and energy as inputs, and is the first to systematically compare all nesting structures. Using industry-level data from 12 OECD countries, we find that the nesting structure where capital and labour are combined first, fits the data best, but for most countries and industries we cannot reject that all three inputs can be put into one single nest. These two nesting structures are used by most climate models. However, while several climate policy models use a Cobb–Douglas function for (part of the) production function, we reject elasticities equal to one, in favour of considerably smaller values. Finally we find evidence for factor-specific technological change. With lower elasticities and with factor-specific technological change, some climate policy models may find a bigger effect of endogenous technological change on mitigating the costs of climate policy.     

Energy caps: Alternative climate policy instruments for China?

Decoupling fossil energy demand from economic growth is crucial for China's sustainable development, especially for addressing severe local air pollution and global climate change. An absolute cap on coal or fossil fuel consumption has been proposed as a means to support the country's energy and climate policy objectives. We evaluate potential energy cap designs that differ in terms of target fuel, point of control, and national versus regional allowance trading using a global numerical general equilibrium model that separately represents 30 provinces in China. First, we simulate a coal cap and find that relative to a cap on all fossil fuels, it is significantly more costly and results in high localized welfare losses. Second, we compare fossil energy cap designs and find that a national cap on downstream fossil energy use with allowance trading across provinces is the most cost effective. Third, we find that a national fossil energy cap with trading is nearly as cost effective as a national CO₂ emissions trading system that penalizes energy use based on carbon content. As a fossil energy cap builds on existing institutions in China, it offers a viable intermediate step toward a full-fledged CO₂ emissions trading system.     

A multi-criteria evaluation method for climate change mitigation policy instruments

This paper presents an integrated multi-criteria analysis method for the quantitative evaluation of climate change mitigation policy instruments. The method consists of: (i) a set of criteria supported by sub-criteria, all of which describe the complex framework under which these instruments are selected by policy makers and implemented, (ii) an Analytical Hierarchy Process (AHP) process for defining weight coefficients for criteria and sub-criteria according to the preferences of three stakeholders groups and (iii) a Multi-Attribute Theory (MAUT)/Simple Multi-Attribute Ranking Technique (SMART) process for assigning grades to each instrument that is evaluated for its performance under a specific sub-criterion. Arguments for the selected combination of these standard methods and definitions for criteria/sub-criteria are quoted. Consistency and robustness tests are performed. The functionality of the proposed method is tested by assessing the aggregate performances of the EU emission trading scheme at Denmark, Germany, Greece, Italy, Netherlands, Portugal, Sweden and United Kingdom. Conclusions are discussed.     

The impact of carbon prices on generation-cycling costs

The introduction of mechanisms aimed at reducing greenhouse gas emissions can have a serious impact on electricity system costs. A carbon mechanism that forces generators to internalise their emissions costs may alter the merit order in which generators are dispatched in the market. Heavy carbon dioxide polluters may switch from operating continuously to having to operate on the margin more often. This results in these units being required to switch on and off and vary their output more frequently, which has a significant impact on their costs. In this paper, the impact of carbon prices on the operating profiles of generators in a real electricity system is investigated. A large number of potential scenarios are considered and it is found that carbon prices significantly increase the cycling costs. These increased cycling costs significantly offset the carbon dioxide reduction benefits of the carbon price.     

Review of Taiwan's climate policy after Copenhagen

The Copenhagen Accord in 2009 initiated new opportunities for international cooperation in reducing greenhouse gas (GHG) emissions. The purpose of this study was to review Taiwan's current climate policy and, in response to the Copenhagen Accord, to deliberate this policy in the light of new strategic thinking. The study proposes a two-stage approach with a dividing line in 2020. In the first stage, from now until 2020, strategy should be based on cost constraints, with a suggested reduction cost below $60/t-CO₂, and implementation of domestic GHG emissions trading scheme and reduction strategies. In the second stage, from 2020 and beyond, action by Taiwan should, accord with international cooperative actions to link its domestic emissions trading scheme with the international carbon market.     

Detecting instability in the volatility of carbon prices

This article investigates the presence of outliers in the volatility of carbon prices. We compute three different measures of volatility for European Union Allowances, based on daily data (EGARCH model), option prices (implied volatility), and intraday data (realized volatility). Based on the methodology developed by Zeileis et al. (2003) and Zeileis (2006), we detect instability in the volatility of carbon prices based on two kinds of tests: retrospective tests (OLS-/Recursive-based CUSUM processes, F-statistics, and residual sum of squares), and forward-looking tests (by monitoring structural changes recursively or with moving estimates). We show evidence of strong shifts mainly for the EGARCH and IV models during the time period. Overall, we suggest that yearly compliance events, and growing uncertainties in post-Kyoto international agreements, may explain the instability in the volatility of carbon prices.     

Investment under market and climate policy uncertainty

Climate change is considered as one of the major systematic risks for global society in the 21st century. Yet, serious efforts to slow the accumulation of emissions are still in their primordial stage and policy makers fail to give proper long-term signals to emitters. These days, investors do not only face uncertainty from volatile prices in the traditional markets, but also from the less conceivable uncertainty of stricter climate change policy. This paper investigates the impact of learning about the commitment of government to a climate policy regime in a real options framework. Two types of uncertainty are distinguished: market-driven price volatility around a mean price and bifurcating price trajectories mimicking uncertainty about changing policy regimes. One of the findings is that the producer facing market uncertainty about CO₂ prices invests into carbon-saving technology earlier than if the actual price path had been known on beforehand. This is not a typical real options outcome, but the result of optimizing under imperfect information, which leads to decisions that are different from the optimal strategies under full information. On the other hand, policy uncertainty induces the producer to wait and see whether the government will further commit to climate policy. This waiting is a real options effect. In other words, if learning about government commitment is more valuable than investing into mitigation technologies immediately, the option value exceeds the value of the technology and investment will be postponed. This might lead to supply shortages and limited diffusion of less carbon-intensive technology.     

Investment risks under uncertain climate change policy

This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to uncertain future climate policy, which is treated as an external risk factor over which the company has no control. The aims of this paper are to (i) quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and (ii) illustrate the effectiveness of the real options approach as a policy analysis tool. The study analysed firms’ investment options of coal- and gas-fired power plants and carbon capture and storage (CCS) technologies. Policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price. Our findings indicate that climate policy uncertainty creates a risk premium for power generation investments. In the case of gas- and coal-fired power generation, the risk premium would lead to an increase in electricity prices of 5–10% in order to stimulate investment. In the case of CCS, the risk premium would increase the carbon price required to stimulate investment by 16–37% compared to a situation of perfect certainty. The option to retrofit CCS acts as a hedge against high future carbon prices, and could accelerate investment in coal plant. This paper concludes that to minimise investment risks in low carbon technologies, policy-makers should aim to provide some long-term regulatory certainty.     

Beyond Bush: Environmental politics and prospects for US climate policy

The United States was a pioneer in domestic environmental lawmaking, and it was a leader in international environmental cooperation in the final decades of the last century. During the current decade, however, it has moved away from cooperating with other states in finding new ways to protect the global environment. While its early efforts to address climate change were no worse, and often better than, other developed countries, it has fallen far behind as a number of European states and the European Union have started to implement robust policies to reduce their greenhouse gas emissions. This chapter recounts this evolution in US policy from environmental leader to environmental laggard. It summarizes the US climate change-related policies and diplomacy, recounting significant events during the presidential administrations of George HW Bush, Bill Clinton and George W Bush. It then extends this summary of events to assess the prospects for US climate policy in the near future.     

Directed technical change with capital-embodied technologies: Implications for climate policy

We develop a theoretical model of directed technical change in which clean (zero-emissions) and dirty (emissions-intensive) technologies are embodied in long-lived capital stocks. Switching from dirty to clean innovation leads to ongoing reductions in the relative costs of producing clean investment goods, making them ever cheaper to purchase and so encouraging clean investment. At the same time, falling replacement costs imply falling asset values. Consequently, continuing innovation in capital-embodied clean technologies also generates obsolescence costs, which are borne by users of clean capital. The negative effect of obsolescence costs on demand for clean investment and consequently on the speed of transition to clean growth has been neglected in the literature on directed technical change.We show theoretically and using numerical simulations that optimal policies differ in our model of embodied technological change, relative to an otherwise comparable model of disembodied technological change. With embodied technologies: (i) optimal emissions taxes start higher and rise faster; (ii) much higher clean research and development subsidies are required to effect the switch to clean innovation; and (iii) climate damages under optimal policies are greater. We suggest that more attention should be paid to the role of obsolescence costs in modelling transitional effects of climate policies.     

Does the Bush Administration’s climate policy mean climate protection?

The paper analyzes the two major components of the Bush Administration’s climate policy, namely an emission intensity target and a technology strategy. The question is whether those components will generate net emission reductions that will contribute to the stabilization of the greenhouse gas concentration at a safe level in the long run. It comes out that the Bush Administration climate policy does not guarantee any meaningful contribution to climate protection. The lenient emission intensity target set by the Administration will most likely allow near term emissions to grow. In the long run, the Bush Administration places a big bet on future climate-friendly technological breakthroughs to cost-effectively compensate for the current and near term net emission increases. But the outcomes of those technological developments are uncertain in terms of emission reduction potential, cost, and timing. The way towards enhanced climate protection will most likely not come from the policies of the current Administration, but rather from the growing concern about the climate issue in Congress and at the state, corporate and civil society levels. These combined forces may raise the playing field at the federal level in the near future.     

Directed technical change and differentiation of climate policy

This paper studies the cost effectiveness of climate policy if there are technology externalities. For this purpose, we develop a forward looking model that captures empirical links between CO₂ emissions associated with energy use, directed technical change and the economy. We find our most cost effective climate policy to include a combination of R&D subsidies and CO₂ emission constraints, although R&D subsidies raise the shadow value of the CO₂ constraint (i.e. CO₂ price) because of a strong rebound effect from stimulating innovation. Furthermore, we find that cost effectiveness of climate policy improves if it is differentiated between technologies. Even our rudimentary distinction between CO₂ intensive technologies and non-CO₂ intensive technologies lead to this result. Such differentiated climate policy encourages growth in the non-CO₂ intensive sectors and discourages growth in CO₂ intensive sectors by harnessing positive effects of technology externalities on total factor productivity in the former and letting the latter bear relatively more of the abatement burden. This result is robust to whether emission constraints, R&D subsidies or combinations of both are used as climate policy instruments.