The Impact of the EU ETS on Prices,Profits and Emissions in the Power Sector: Simulation Results with the COMPETES EU20 Model

This paper analyses the impact of the EU Emissions Trading Scheme (ETS) on electricity prices, in particular on wholesale power markets across the EU. To study this impact, this paper discusses the major results of a bottom-up modelling analysis of the implications of emissions trading for the performance of the wholesale power market in 20 European countries. The analyses show that a significant part of the costs of (freely allocated) CO₂ emission allowances is passed through to power prices, resulting in higher electricity prices for consumers and additional (‘windfall’) profits for power producers, even in cases of full auctioning. In addition, they show that the ETS-induced increases in power prices depend not only on the level of CO₂ prices but also on the structure of the power market, i.e., the incidence of market power, and the price responsiveness of power demand. Finally, the analyses show that the internalization and pass-through of carbon costs are crucial elements in a policy regime to reduce CO₂ emissions by both changing the mix of power generation technologies and lowering total electricity demand.     

碳交易及补贴机制下供应链差别定价研究

研究了碳交易机制、补贴机制以及碳交易及补贴机制下,一个二级供应链中普通产品和低碳产品竞争的差别定价策略,通过求解Stackelberg博弈模型得出单一的补贴政策并不能激励制造商进行节能减排,应与碳交易机制结合使用,其节能减排效果优于单一的碳交易机制。最后通过一个算例分析验证了碳交易及补贴机制的有效性。研究表明：碳交易价格升高到一定程度时,普通产品的零售价批发价均升高,低碳产品的价格均下降,普通产品的销量下降,低碳产品销量上升,碳排放总量下降;随着低碳补贴的增加,普通产品的零售价,低碳产品的批发价、零售价均降低,普通产品的销量下降,低碳产品的销量上升,其中低碳产品的价格和需求量对低碳补贴的反应更加敏感,使碳排放量降低的同时还提高了制造商和零售商的利润。     

The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis

We use Monte Carlo analysis to examine the potential of increased renewable generation to provide a hedge against variability in energy prices and costs. Fuel costs, electricity demand and wind generation are allowed to vary and a unit commitment and economic dispatch algorithm is employed to produce cost-minimizing generation schedules under different levels of installed wind capacity. Increased wind capacity reduces the mean and the variance of production costs but only the variance of electricity prices. Wind generators see their market revenues increase while consumer payments and fossil generator profits do not considerably vary as wind capacity increases. Risk aversion is captured by considering the conditional value-at-risk for both consumers and producers. The optimal level of wind generation increases as risk aversion increases due to the potential of wind to act as a hedge against very high electricity prices in high fuel price scenarios.     

Abuse of EU Emissions Trading for Tacit Collusion

In this paper, we show that loopholes in EU emissions trading law foster tacit collusion that impacts oligopolistic product markets. The abuses originate from the covert misuse of EU emissions trading institutions, such as pooling or project-based mechanisms. We analyse two types of these loopholes by means of game theoretical methods to show how oligopolistic firms establish output restrictions, even if those firms are price takers on the~permit market (which might actually be the case for the majority of obligated firms in the EU). The identified misuse of emissions trading law increases firms’ profits, decreases the consumers’ surplus and has negative effects on social welfare for specified parameter ranges. Consequently, public authorities should not allow emissions trading’s overall good reputation—based upon its efficient abatement of pollution—to blind them to options in European emissions trading legislation that would eventually restrict competition.      

How to explain carbon price using market micro-behaviour?

In this article, we analyse the micro-behaviours of the emitting companies and financial intermediaries in the European Union emissions trading scheme (EU-ETS) and their influence on carbon prices. Based on the full-sample community independent transaction log (CITL), the micro-behaviours can be observed in a closed system. The micro-behaviours of the emitting companies are divided into ‘compliance trading’ and ‘non-compliance trading’ based on the emitting companies’ trading motivations. The micro-behaviours of the financial intermediaries are measured by their influence on the total supply and demand in the market. Then, an AR-GARCH model is established to examine the dynamic relationships between carbon prices and the micro-behaviours of the emitting companies and financial intermediaries. The estimation results suggest that the prices–behaviours relationship is significant. Other important findings are as follows: (1) the mean value of carbon prices positively depends on the compliance trading of the emitting companies and the micro-behaviours of the financial intermediaries; (2) non-compliance buying increases the volatility of carbon prices, while the non-compliance selling stabilizes it and (3) the micro-behaviours of the emitting companies in the lower 50% in terms of emission levels have no significant influence on the mean carbon price, but their non-compliance buying stabilizes the carbon price.     

Over-Allocation or Abatement? A Preliminary Analysis of the EU ETS Based on the 2005–06 Emissions Data

This paper provides an initial analysis of the EU ETS based on the installation-level data for verified emissions and allowance allocations in the first 2 years of the first trading period. These data reveal that CO₂ emissions were about 3% lower than the allocated allowances. The main objective of the paper is to shed light on the extent to which over-allocation and abatement have taken place in 2005 and 2006, when a significant CO₂ price was observed. We propose a measure by which over-allocation can be judged and provide estimates of abatement based on emissions data and indicators of economic activity as well as trends in energy and carbon intensity. Finally, we discuss the insights and implications that emerge from this tentative assessment. The ideas expressed in this paper are those of the authors and do not necessarily represent views of the International Energy Agency or its Member Countries.     

The Stochastic Convergence of CO<Subscript>2</Subscript> Emissions: A Long Memory Approach

In response to equity concerns surrounding the spatial distribution of CO₂ emissions and assumptions of CO₂ convergence within some climate models, this paper examines the convergence of CO₂ emissions within the OECD over the period 1870–2004. More specifically, using the Local Whittle estimator and its variants we examine whether relative per capita CO₂ emissions are fractionally integrated, that is they are long memory processes which, although highly persistant, may revert to the mean/trend in the long run. Our results suggest that CO₂ emissions within 13 out of 18 OECD countries are indeed fractionally integrated implying that they converge over time, albeit slowly. Interestingly though, the countries whose emissions are not found to be fractionally integrated are some of the highest polluters within the OECD, at least in per capita terms. Our results have implications both for future studies of CO₂ convergence and for climate policy.     

Market Power in Emissions Trading Markets Ruled by a Multiple Unit Double Auction: Further Experimental Evidence

We discuss selected methodological problems of previous Double Auction (DA) experiments and test the hypothesis that a Multiple Unit Double Auction (MUDA) is able to prevent market power in an emissions trading market. Additionally, we analyze how the information subjects receive about the market structure and different levels of subjects’ experience influence the behavior. Based on a larger number of independent observations than analyzed in previous studies, the experiment generates two main results. First, emissions trading markets ruled by a MUDA realize a high degree of efficiency even under market power conditions. However, a MUDA is, in general, not able to restrict market power. We observe persistent price discrimination in two market power environments, i.e., the distribution of profits is strongly shifted in favor of the strong market side without greatly harming efficiency. This result is independent of the information to subjects about the market structure. Second, when subjects are experienced, the efficiency is higher and the ability of the strong market side to exercise market power declines strongly. However, the variability of behavior is large and the strong market side is still able to realize supracompetitive profits in some groups.      

Carbon and energy prices under uncertainty: A theoretical analysis of fuel switching with heterogenous power plants

European power producers have a major influence on the EU ETS, given that both their CO₂ emissions and their EUA (European Union Allowance) allocations account for more than half of the total volumes of the scheme. Fuel switching is often considered as the main short-term abatement measure under the EU ETS. It consists in substituting combined cycle gas turbines (CCGTs) for hard-coal plants in power generation. Thereby coal plants run for shorter periods, and CO₂ emissions are reduced. This paper provides the first theoretical analysis of fuel switching, in a context where power plants involved are not equally efficient. We begin with a preliminary work using illustrative examples and sensitivity analyses, which enables us to observe how differences in the efficiency of power plants impact the cost of fuel switching, and how this is related to the level of switching effort. Based on this, we build a theoretical model taking into account the effect of differences in the efficiency of power plants involved in fuel switching. We also investigate the effect of the timing of fuel switching abatements, within the temporally defined environment of our dynamic model. Results demonstrate that the gas price and uncontrolled CO₂ emissions act together on the carbon price. We show that the influence of the gas price on the carbon price depends on the level of uncontrolled CO₂ emissions, due to heterogeneity of power plants that are used in the fuel switching process. Furthermore, we show that the time of occurrence of uncontrolled emissions matters so that shocks have a stronger impact when they occur in a period that is closed to the end of the phase.     

Does energy‐related aid affect emissions? Evidence from a global dataset

Donor countries have been using international aid in the field of energy for at least three decades. The stated objective of this policy is to reduce emissions and promote sustainable development in the global South. In spite of the widespread use of this policy tool, very little is known about its effect on emissions. In this paper we perform an empirical audit of the effectiveness of energy‐related aid in tackling CO₂ and SO₂ emissions. Using a global panel dataset covering 128 countries over the period 1971–2011 and estimating a parsimonious model using the Anderson and Hsiao estimator, we do not find any evidence of a systematic effect of energy‐related aid on emissions. We also find that the non‐effect is not conditional on institutional quality or level of income. Countries located in Europe and Central Asia do better than others in utilizing this aid to reduce CO₂ emissions. Our results are robust after controlling for the environmental Kuznets curve, country fixed effects, country‐specific trends, and time‐varying common shocks.     

Structural decomposition analysis and input-output subsystems: Changes in CO2 emissions of Spanish service sectors (2000-2005)

The analysis of gas emissions by an input-output subsystem approach provides detailed insight into pollution generation in an economy. Structural decomposition analysis, on the other hand, identifies the factors behind the changes in key variables over time. Extending the input-output subsystem model to account for the changes in these variables reveals the channels by which environmental burdens are caused and transmitted throughout the production system. In this paper we propose a decomposition of the changes in the components of CO₂ emissions captured by an input-output subsystems representation. The empirical application is for the Spanish service sector, and the economic and environmental data are for years 2000 and 2005. Our results show that services increased their CO₂ emissions mainly because of a rise in the emissions generated by non-services to cover the final demand for services. The decomposed effects show a decrease in CO₂ emissions due to technological changes between 2000 and 2005 compensated by an increase in emissions caused by the rise in final demand of services. Finally, large asymmetries exist not only in the quantitative changes in the CO₂ emissions of the various services but also in the decomposed effects of these changes.     

The impact of population on CO<Subscript>2</Subscript> emissions: evidence from European countries

This paper analyses the impact of population growth on CO₂ emissions in European Union countries. Traditionally, researchers have assumed a unitary elasticity of emissions with respect to population growth. In this study population is treated as a predictor in the model, instead of being included as part of the dependent variable (per capita emissions), thus relaxing the above-mentioned assumption of unitary elasticity. We also contribute to the existing literature by taking into account the presence of heterogeneity in the sample and considering a dynamic specification. The sample covers the period 1975–1999 for the current European Union members. Our results show that the impact of population growth on emissions is more than proportional for recent accession countries whereas for old EU members, the elasticity is lower than unity and non significant when the properties of the time series and the dynamics are correctly specified. The different impact of population change on CO₂ emissions for the current EU members should therefore be taken into account in future discussions of climate change policies within the EU.      

Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market

In this study, we investigated global economic and environmental resilience in the presence of climate change. In particular, we examine the possibility of mitigating carbon dioxide (CO₂) emissions without stressing standards of living. Here, we set up a cross-country CO₂ market constrained by a quota, where CO₂ is optimally re-allocated based on relative shadow prices of the pollutant. The objective is to stabilize global emissions without hindering global incomes and in the process achieve a single CO₂ price. We introduce a re-allocation model that takes into account each country’s underlying polluting technology. The model solutions are then used to investigate whether a single, global price for CO₂ is attainable. Our results suggest that global CO₂ emissions could stabilize without stressing global incomes, with a global CO₂ market achieving equilibrium. With a CO₂ market, countries would then have the incentive to consider adopting, improving, or investing in additional abatement technologies to move beyond current capabilities, while continuing to increase standards of living.     

A Structure Decomposition Analysis of China’s Production-Source CO<Subscript>2</Subscript> Emission: 1992–2002

This paper provides an empirical analysis of the relative impacts of various factors on CO₂ emissions from production of goods and services in China during two consecutive periods of 1992–1997 and 1997–2002. Results show that, on the positive side, level of final demand for goods and services was the main reason for the increase of production-source CO₂ emission, while structure of net export has similar positive effect during the first period of 1992–1997. On the negative side, technology factors remains as the main factors reducing emissions. The level of net export played some role in the first period, but the effects were seen in the second period from energy intensity, fuel mix and input mix. The results suggest that economic structure be focused as an important factor for CO₂ emission reduction, with construction and transport as two key industries to lower carbon emission.     

On the Stochastic Properties of Carbon Futures Prices

Pricing carbon is a central concern in environmental economics, due to the worldwide importance of emissions trading schemes to regulate pollution. This paper documents the presence of small and large jumps in the stochastic process of the CO $_2$ futures price. The large jumps have a discrete origin, i.e. they can arise from various demand factors or institutional decisions on the tradable permits market. Contrary to the existing literature, we show that the stochastic process of carbon futures prices does not contain a continuous component (Brownian motion). The results are derived by using high-frequency data in the activity signature function framework (Todorov and Tauchen in J Econom 154:125–138, 2010; Todorov and Tauchen in J Bus Econ Stat 29:356–371, 2011). The implication is that the carbon futures price should be modeled as an appropriately sampled, centered Lévy or Poisson process. The pure-jump behavior of the carbon price might be explained by the lower volume of trades on this allowance market (compared to other highly liquid financial markets).     

Futures price dynamics of CO2 emission allowances

We analyze the pricing and lead–lag relationship between spot and futures prices of CO₂ emission allowances in the EU emission trading scheme. We show that the cost-of-carry hypothesis between spot and futures prices holds for the trial period. In this period we focus on how fast a deviation from equilibrium due to shocks is restored. We derive testable restrictions on the loading coefficients and the short term dynamics within a vector error correction model. Previous studies in this field did not take into account the effects of lagged differences in the determination of the speed of adjustment. The results indicate that deviations from equilibrium are restored faster for the futures price series maturing in 2006 than for the futures price series maturing in 2007. Furthermore, we conduct an impulse response analysis using local projections with conditional confidence bands. Finally, we give an outlook for the Kyoto commitment period which is already running. In this time period so far we find that the cost-of-carry hypothesis does not hold.     

An analysis of China's climate policy using the China-in-Global Energy Model

The primary approach to address climate change in China has been the use of CO₂ intensity targets coupled with targets for low carbon energy deployment. We evaluate the impact of extending similar targets through 2050 on China's energy use profile and CO₂ emissions trajectory using the China-in-Global Energy Model (C-GEM). The C-GEM is a global computable equilibrium model that includes energy and economic data provided by China's statistical agencies, calibration of savings, labor productivity, and capital productivity dynamics specific to China's stage of development, and regional aggregation that resolves China's major trading partners. We analyze the combined impact of extending CO₂ intensity targets, implemented via a cap-and-trade program, and low carbon energy policies (directives for nuclear power expansion and feed-in tariffs for wind, solar, and biomass energy) through 2050. Although with the policy, simulated CO₂ emissions are around 43% lower in 2050 relative to a reference (No Policy) counterfactual, China's CO₂ emissions still increase by over 60% between 2010 and 2050. Curbing the rise in China's CO₂ emissions will require fully implementing a CO₂ price, which will need to rise to levels higher than $25/ton in order to achieve China's stated goal of peaking CO₂ emissions by 2030.     

Higher Price,Lower Costs? Minimum Prices in the EU Emissions Trading Scheme

In this paper, we examine the introduction of a price floor in an emissions trading system (ETS) when some emissions are regulated outside the ETS. We theoretically characterize the conditions under which a price floor enhances welfare. Using a numerical simulation model of the European Union (EU), we find that moderate minimum prices in the EU ETS can reduce the costs of EU climate policy by up to 30 percent. We also find that, because of tax‐interaction effects, the optimal minimum price in the EU ETS should be about four times higher than the average marginal abatement cost in non‐ETS sectors.     

Beyond Kyoto: backstop technologies and endogenous prices on CO2 permits and fossil fuels

This paper analyses the markets for fossil fuels given that the limits the Kyoto Protocol sets on CO₂ emissions from Annex B countries extend beyond 2008–2012. A forward-looking model with endogenous prices for fossil fuels is applied under different assumptions concerning the technological progress for a carbon-free backstop technology. Both the time-profile of the international permit price needed for the Kyoto Forever targets as well as the implications through reduced demand and lower producer prices for fossil fuels are calculated. The permit price has to rise at least up to 2030 in order to fulfil the emission targets. From then on the necessary permit price shows different future developments, dependent on when the backstop technology starts to replace oil. Since changes in the availability of the backstop technology shift the time-profile of the permit price, the loss of petroleum wealth for oil and gas producers varies between the scenarios, but is never more than 20%. Findings indicate that the reduction in gas revenues in OECD-Europe after the introduction of the targets amounts to a yearly loss of 0.01–0.02% of their total GNP for half a century. The reduction in oil revenues for OPEC is comparable to an annual loss of 2.9–5.4% of their GNP over a period of sixty years.     

Australia's National Electricity Market after Twenty Years

The Hilmer reforms served electricity consumers well over the first post-reform decade. However, three key issues emerged from the mid-2000s: (i) a significant and largely unnecessary rise in network expenditures; (ii) emissions policy discontinuity; and (iii) a large increase in wholesale prices due to rising fuel prices and the sudden exit of generators. The consequence was a doubling in retail prices. Deficiencies in cost-recovery mechanisms have meant price increases have disproportionately affected low-income households. We propose three key reforms as rectification: (i) integrating emissions reduction and energy policies; (ii) boosting network capacity utilisation; and (iii) improving cost recovery mechanisms.