What explain the short-term dynamics of the prices of CO2 emissions?

Using a Bayesian Structural VAR (BSVAR), this paper analyzes the short-term dynamics of the prices of CO₂ emissions in response to changes in the prices of oil, coal, natural gas and electricity. The results show that: (i) a positive shock to the crude oil prices has an initial positive effect on the CO₂ allowance prices, which later becomes negative; (ii) an unexpected increase in the natural gas prices reduces the price of CO₂ emissions; (iii) a positive shock to the prices of the fuel of choice, coal, has virtually no significant impact on the CO₂ prices; (iv) there is a clear positive effect of the coal prices on the CO₂ allowance prices when the electricity prices are excluded from the BSVAR system; and (v) a positive shock to the electricity prices has a negative impact on the price of the CO₂ allowances. We also find that the energy price shocks have a persistent impact on the CO₂ allowance prices, with the largest effect occurring 6 months after a shock strikes. The effect is particularly strong in the case of the shocks to the natural gas and crude oil prices. Finally, the empirical findings suggest an important degree of substitution between the three primary sources of energy (i.e., crude oil, natural gas and coal), particularly when electricity prices are excluded from the BSVAR system.     

Electricity prices and fuel costs: Long-run relations and short-run dynamics

The paper examines the long-run relation and short-run dynamics between electricity prices and three fossil fuel prices – coal, natural gas and crude oil – using annual data for the U.S. for 1960–2007. The results suggest (1) a stable long-run relation between real prices for electricity and coal (2) Bi-directional long-run causality between coal and electricity prices. (3) Insignificant long-run relations between electricity and crude oil and/or natural gas prices. And (4) no evidence of asymmetries in the adjustment of electricity prices to deviations from equilibrium. A number of implications are addressed.     

Correlation between Chinese and international energy prices based on a HP filter and time difference analysis

To establish a reasonable system and mechanism for Chinese energy prices, we use the Granger causality test, Hodrick–Prescott (HP) filter and time difference analysis to research the pricing relationship between Chinese and international energy prices. We find that Chinese and international crude oil prices changed synchronously while Chinese refined oil prices follow the changes of international oil prices with the time difference being about 1 month to 2 months. Further, Australian coal prices Granger causes Chinese coal prices, and there is a high correlation between them. The U.S. electricity price is influenced by the WTI crude oil price, the U.S. gasoline price and the HenryHub gas price. Due to the unreasonable price-setting mechanism and regulation from the central government, China′s terminal market prices for both electricity and natural gas do not reflect the real supply–demand situation. This paper provides quantitative results on the correlation between Chinese and international energy prices to better predict the impact of international energy price fluctuations on China′s domestic energy supply and guide the design of more efficient energy pricing policies. Moreover, it provides references for developing countries to improve their energy market systems and trading, and to coordinate domestic and international energy markets.     

Oil and natural gas prices and greenhouse gas emission mitigation

The hikes in hydrocarbon prices during the last years have lead to concern about investment choices in the energy system and uncertainty about the costs for mitigation of greenhouse gas emissions. On the one hand, high prices of oil and natural gas increase the use of coal; on the other hand, the cost difference between fossil-based energy and non-carbon energy options decreases. We use the global energy model TIMER to explore the energy system impacts of exogenously forced low, medium and high hydrocarbon price scenarios, with and without climate policy. We find that without climate policy high hydrocarbon prices drive electricity production from natural gas to coal. In the transport sector, high hydrocarbon prices lead to the introduction of alternative fuels, especially biofuels and coal-based hydrogen. This leads to increased emissions of CO₂. With climate policy, high hydrocarbon prices cause a shift in electricity production from a dominant position of natural gas with carbon capture and sequestration (CCS) to coal-with-CCS, nuclear and wind. In the transport sector, the introduction of hydrogen opens up the possibility of CCS, leading to a higher mitigation potential at the same costs. In a more dynamic simulation of carbon price and oil price interaction the effects might be dampened somewhat.     

A conditional dependence approach to CO2-energy price relationships

This paper uses the conditional vine copula approach to model the dependence structure between European-based carbon allowances and major energy prices. It makes two central contributions to the related literature. First, we extend the previous works of Reboredo (2013, 2014) by allowing for complete coverage of energy markets including natural gas, coal, and electricity, beyond the carbon-oil dependencies. Second, we simultaneously investigate the multivariate dependence among all variables in the system so that each of them can interact with the others based on a rich variety of bivariate copula functions. The consideration of the electricity market in this context offers the possibility to gauge its influences through the computation of the fuel-switching mechanism. We mainly find that there is a reliable and positive link between coal and gas prices, and between coal and oil prices, with or without the presence of electricity prices, while a weak and positive link is detected between Brent and gas prices. Carbon prices co-move only weakly with energy prices, and their link to oil and gas prices is negative. Moreover, the switch from coal to gas does not occur when the relative price of fuels taking into account carbon costs is assessed. This happens because the fuel-switching mechanism is still more costly than carbon abatement. Our findings remain intact when alternative electricity prices are used.     

Stationarity changes in long-run energy commodity prices

Situated at the intersection of the literatures on speculative storage and non-renewable commodity scarcity, this paper considers whether changes in persistence have occurred in long-run U.S. prices of the energy commodities crude oil, natural gas and bituminous coal. We allow for a structural break when testing for a break in persistence to avoid a change in the stochastic properties of prices being confounded by an unaccounted-for deterministic shift in the price series. We find that coal prices are trend stationary throughout their evolution and that oil prices change from stationarity to non-stationarity in the decade between the late 1960s to late 1970s. The result on gas prices is ambiguous. Our results demonstrate the importance of accounting for a possible structural shift when testing for breaks in persistence, while being robust to the exact date of the structural break. Based on our analysis we caution against viewing long-run energy commodity prices as being non-stationary and conclude in favor of modeling commodity market fundamentals as stationary, meaning that speculative storage will tend to have a dampening effect on prices. We also cannot reject that long-run prices of coal and, with some hesitation, gas follow a Hotelling-type rule. In contrast, we reject the Hotelling rule for oil prices since the late 1960s/early 1970s.     

Electricity and carbon prices: Asymmetric pass-through evidence from New Zealand

This paper empirically investigates whether the response of electricity prices to changes in CO₂ prices is asymmetric in the case of the New Zealand economy. It makes use of data spanning the period January 2001 to March 2014 and a nonlinear autoregressive distributed lag (NARDL) model to test the relevant hypothesis. The empirical findings indicate that carbon prices have long-run asymmetric effects on electricity prices, with only positive changes in carbon prices signaling a complete pass-through. The results are expected to be of substantial importance for end-user prices and, thus, to enhance the information on the impact of CO₂ prices on end-user electricity prices. After all, it is this piece of information that determines how the electricity cost is actually linked to electricity prices.     

The impacts of energy prices on energy intensity: Evidence from China

In this paper, we present a review of the deregulation of energy prices in China between 1985 and 2004 and assess the impacts of changes in energy prices on aggregate energy intensity and coal/oil/electricity intensity. We used time series data to provide estimates of energy price elasticities. Empirical results showed that: (1) The own-price elasticities of coal, oil, and aggregate energy were negative in periods both before and after 1995, implying that higher relative prices of different energy types lead to the decrease in coal, oil, and aggregate energy intensities. However, the positive own-price elasticity of electricity after 1995 probably indicates that the price effect was weaker than other factors such as income effect and population effect. (2) The impacts of energy prices were asymmetric over time. (3) Sectoral adjustment also drove the decrease in aggregate energy intensity. Although raising energy prices to boost efficiency of energy use seems to be an effective policy tool, other policy implications concerned with energy prices, such as energy supply security and fuel poverty, must also be considered.     

Testing causal relationships between wholesale electricity prices and primary energy prices

We apply the lag-augmented vector autoregression technique to test the Granger-causal relationships among wholesale electricity prices, natural gas prices, and crude oil prices. In addition, by adopting a cross-correlation function approach, we test not only the causality in mean but also the causality in variance between the variables. The results of tests using both techniques show that gas prices Granger-cause electricity prices in mean. We find no Granger-causality in variance among these variables.     

基于谱分析的国内外能源价格周期关系研究

为了更好地应对经济全球化背景下的能源价格问题,基于谱分析方法对国内外典型市场的石油、煤炭、电力、天然气四种主要能源价格的周期互动关系进行了初步研究与探讨,考虑到我国天然气与电力市场的发展现状,借鉴发展相对成熟的美国市场进行分析。结果表明,煤炭、电力、天然气三种能源市场价格均滞后于国际原油价格波动,其中煤炭价格波动略滞后于石油,而根据美国市场经验,天然气和电力价格波动周期均滞后于煤炭和石油市场价格。     

Market integration among electricity markets and their major fuel source markets

Dynamic price information flows among U.S. electricity wholesale spot prices and the prices of the major electricity generation fuel sources, natural gas, uranium, coal, and crude oil, are studied. Multivariate time series methods applied to weekly price data show that in contemporaneous time peak electricity prices move natural gas prices, which in turn influence crude oil. In the long run, price is discovered in the fuel sources market (except uranium), as these prices are weakly exogenous in a reduced rank regression representation of these energy prices.     

A stochastic fuel switching model for electricity prices

This paper develops and applies a novel electricity price model. We reproduce the merit order of a thermal-dominated electricity system by establishing a non-linear dependency of wholesale electricity prices on the prices of fuels (coal and natural gas) and of CO₂ emission allowances. The coefficients are estimated using a Markov Switching Regression.This approach might prove valuable for cross-hedging positions in the fuel, electricity and emission spot markets. It is also of use for studying the degree to which electricity prices in different countries reflect fuel and emission cost. Applying the model to the electricity markets of the UK and Germany, we find that British electricity prices are quite well-explained by short-run cost factors while the German ones are less well-explained.     

Lower electricity prices and greenhouse gas emissions due to rooftop solar: empirical results for Massachusetts

Monthly and hourly correlations among photovoltaic (PV) capacity utilization, electricity prices, electricity consumption, and the thermal efficiency of power plants in Massachusetts reduce electricity prices and carbon emissions beyond average calculations. PV utilization rates are highest when the thermal efficiencies of natural gas fired power plants are lowest, which reduces emissions of CO₂ and CH₄ by 0.3% relative to the annual average emission rate. There is a positive correlation between PV utilization rates and electricity prices, which raises the implied price of PV electricity by up to 10% relative to the annual average price, such that the average MWh reduces electricity prices by $0.26–$1.86 per MWh. These price reductions save Massachusetts rate-payers $184 million between 2010 and 2012. The current and net present values of these savings are greater than the cost of solar renewable energy credits which is the policy instrument that is used to accelerate the installation of PV capacity. Together, these results suggest that rooftop PV is an economically viable source of power in Massachusetts even though it has not reached socket parity.     

Volatility spillovers for energy prices: A diagonal BEKK approach

We examine the relationship between return and volatility as well as the covolatility spillover for energy, foreign currency, and stock markets using the diagonal BEKK model. Using daily crude oil, natural gas, and the coal prices as proxies for energy prices, the S&P500 index as a proxy for the U.S. stock market, and the EUR/USD exchange rate as a proxy for the exchange rate, we find robust evidence for the volatility spillover effects among the three markets. Also, in the 16 out of 20 pairwise relationships in the five markets, there are significant negative covolatility spillover effects. In the four pairs involving coal, there are positive and significant covolatility spillover effects. We conclude that the energy markets and the stock market have stronger covolatility spillovers than others.     

A long-term view of worldwide fossil fuel prices

This paper reviews a long-term trend of worldwide fossil fuel prices in the future by introducing a new method to forecast oil, natural gas and coal prices. The first section of this study analyses the global fossil fuel market and the historical trend of real and nominal fossil fuel prices from 1950 to 2008. Historical fossil fuel price analysis shows that coal prices are decreasing, while natural gas prices are increasing. The second section reviews previously available price modelling techniques and proposes a new comprehensive version of the long-term trend reverting jump and dip diffusion model. The third section uses the new model to forecast fossil fuel prices in nominal and real terms from 2009 to 2018. The new model follows the extrapolation of the historical sinusoidal trend of nominal and real fossil fuel prices. The historical trends show an increase in nominal/real oil and natural gas prices plus nominal coal prices, as well as a decrease in real coal prices. Furthermore, the new model forecasts that oil, natural gas and coal will stay in jump for the next couple of years and after that they will revert back to the long-term trend until 2018.     

Determinants of the costs of carbon capture and sequestration for expanding electricity generation capacity

This study models the costs of electricity generation with carbon capture and sequestration (CCS), from generation at the power plant to carbon injection at the reservoir, examining the economic factors that affect technology choice and CCS costs at the individual plant level. The results suggest that natural gas and coal prices have profound impacts on the carbon price needed to induce CCS. To extend previous analyses we develop a "cost region" graph that models technology choice as a function of carbon and fuel prices. Generally, the least-cost technology at low carbon prices is pulverized coal, while intermediate carbon prices favor natural gas technologies and high carbon prices favor coal gasification with capture. However, the specific carbon prices at which these transitions occur is largely determined by the price of natural gas. For instance, the CCS-justifying carbon price ranges from $27/t CO₂ at high natural gas prices to $54/t CO₂ at low natural gas prices. This result has important implications for potential climate change legislation. The capital costs of the generation and CO₂ capture plant are also highly important, while pipeline distance and criteria pollutant control are less significant.     

The economic viability of gas-to-liquids technology and the crude oil–natural gas price relationship

This paper explores the viability of a gas-to-liquids (GTL) technology and examines how GTL penetration could shape the evolution of the crude oil–natural gas price ratio. Much research has established the cointegrated relationship between crude oil and natural gas prices in the U.S. The persistently low U.S. natural gas prices in recent years seem to mark a shift in this relationship, and have led some in industry to begin considering investments in GTL capacity in the US. In order to look forward over decades when the underlying economic drivers may be outside of historical experience, we use a computable general equilibrium model of the global economy to evaluate the economic viability of GTL and its impact on the evolution of the crude oil–natural gas price ratio. Our results are negative for the potential role of GTL. In order to produce any meaningful penetration of GTL, we find it necessary to evaluate scenarios that seem extreme. With any carbon cap GTL is not viable. Moreover, even without a carbon cap of any kind, extremely optimistic assumptions about (i) the cost and efficiency of GTL technology and about (ii) the available resource base of natural gas and the cost of extraction, before the technology penetrates and it impacts the evolution of the crude oil–natural gas price ratio.     

Energy and exergy prices of various energy sources along with their CO2 equivalents

Various types of energy sources are used in the residential and industrial sectors. Choosing the type of sources is important. When an energy source is selected, its CO₂ equivalent and energy and exergy prices must be known for a sustainable future and for establishing energy policies. These prices are based on their energy values. Exergy analysis has been recently applied to a wide range of energy-related systems. Thus, obtaining the exergy values has become more meaningful for long-term planning. In this study, energy and exergy prices of various energy sources along with CO₂ equivalents are calculated and compared for residential and industrial applications in Turkey. Energy sources considered include coal, diesel oil, electricity, fuel oil, liquid petroleum gas (LPG), natural gas, heat pumps and geothermal, and their prices were obtained over a period of 18 months, from January 2008 to June 2009. For the residential and industrial sectors, minimum energy and exergy prices were found for ground source heat pumps, while maximum energy and exergy prices belong to LPG for both sectors.     

Energy scarcity and economic growth reconsidered

The analysis in this paper is concerned with the effect of energy scarcity on economic growth in the United States. After defining the notion of scarcity and introducing two measures of scarcity, unit costs and relative energy price, changes in the trend in resource scarcity for natural gas, bituminous coal, anthracite coal, and crude oil over the most recent three decades are investigated. Each of the energy resources became significantly more scarce resources during the decade of the 1970s in the Malthusian Stock Scarcity and Malthusian Flow Scarcity sense. Unit costs exhibit a similar change for natural gas and crude oil but not for bituminous coal and anthracite coal. The situation reversed itself during the 1980s. Natural gas, bituminous coal, anthracite coal, and crude oil all became significantly less scarce resources during the decade of the 1980s than they had been during the 1970s. That is, the increase in scarcity as measured by relative energy prices observed during the decade of the 1970s was not reversed completely during the 1980s for natural gas and crude oil. Unit costs for natural gas and crude oil demonstrate analogous patterns and test results. Given that change has taken place, it has implications for future economic growth to the extent resource scarcity and economic growth are interrelated. To see whether this is a relevant concern, subsequent to the examination of changing resource scarcity trends, an objective effort is made to identify a long-run equilibrium relationship between energy scarcity and economic growth. Relying on co-integration techniques, only for crude oil is there a suggestion that resource scarcity has affected economic growth in the United States over the period 1889–1992.     

Modeling a clean energy standard for electricity: Policy design implications for emissions,supply, prices,and regions

The electricity sector is responsible for roughly 40% of U.S. carbon dioxide (CO₂) emissions, and a reduction in CO₂ emissions from electricity generation is an important component of the U.S. strategy to reduce greenhouse gas emissions. Toward that goal, several proposals for a clean energy standard (CES) have been put forth, including one espoused by the Obama administration that calls for 80% clean electricity by 2035 phased in from current levels of roughly 40%. This paper looks at the effects of such a policy on CO₂ emissions from the electricity sector, the mix of technologies used to supply electricity, electricity prices, and regional flows of clean energy credits. The CES leads to a 30% reduction in cumulative CO₂ emissions between 2013 and 2035 and results in dramatic reductions in generation from conventional coal. The policy also results in fairly modest increases on national electricity prices, but this masks a wide variety of effects across regions.