中国碳排放试点市场碳交易价格分析及预测

对试点市场碳价格分析结果表明:①试点市场碳价格平均水平相差较大,各市场数据均出现尖峰厚尾、波动率集聚、多重分形特征;②试点市场月均价分析过程中,发现新的碳排放市场的建立会对各个碳市场交易价格有提升作用,免费碳排放配额比例的适当调整有利于碳排放配额交易价格下降,碳排放市场核算与核查体系的逐步完善会使碳排放配额交易价格趋于平稳。本文采用马尔科夫转换多重分形模型对碳价格进行预测,得出了准确度较高的结果。     

Economic Benefits of Dolphins in the United States Eastern Tropical Pacific Purse-Seine Tuna Industry

This paper provides a profit-maximizing modelwith vessel-level dolphin mortality limits forpurse seiners harvesting tunas in the easterntropical Pacific Ocean. The model analyticallyderives the shadow price (estimated economicvalue) for dolphin mortality, the fishing-fleetsize, and the annual tuna harvest as functionsof a few key fishing parameters. The model alsoprovides a statistical method to determine theaccuracy of all needed parameter estimates. Thepaper then applies the model to the year 1996and the period from 1985 to 1987. The shadowprice measures the economic value to the UStuna fleet of dolphins lost in the harvestingof tuna. This value is essential whenattempting to evaluate the economic benefitsand costs to society of any action designed toreduce the mortality of dolphins in theharvesting of tuna in the eastern tropicalPacific Ocean.     

Carbon mitigation costs for the commercial building sector: Discrete–continuous choice analysis of multifuel energy demand

We estimate a carbon mitigation cost curve for the U.S. commercial sector based on econometric estimation of the responsiveness of fuel demand and equipment choices to energy price changes. The model econometrically estimates fuel demand conditional on fuel choice, which is characterized by a multinomial logit model. Separate estimation of end uses (e.g., heating, cooking) using the U.S. Commercial Buildings Energy Consumption Survey allows for exceptionally detailed estimation of price responsiveness disaggregated by end use and fuel type. We then construct aggregate long-run elasticities, by fuel type, through a series of simulations; own-price elasticities range from −0.9 for district heat services to −2.9 for fuel oil. The simulations form the basis of a marginal cost curve for carbon mitigation, which suggests that a price of $20 per ton of carbon would result in an 8% reduction in commercial carbon emissions, and a price of $100 per ton would result in a 28% reduction.     

Climate change damage and the trace gas index issue

Efficient policies to control trace gas emissions require estimation of an appropriate exchange rate among these gases; i.e. the relative value of reducing emissions of each gas. A dynamic stock pollutant model is developed that considers damages associated with both non-climatic and climatic effects of the gases, differing atmospheric lifetimes of the gases, the discount rate, and non-linear damages. The index value and shadow value of control are estimated for carbon dioxide, carbon monoxide, methane, nitrous oxide and the 4 major chlorofluorocarbons (CFCs). The value of control for short-lived relative to long-lives gases is lower for low discount rates and quadratic compared with linear damages. The relative value of control for all gases falls relative to carbon dioxide if one considers the direct beneficial effects of carbon dioxide on agriculture. The general approach developed in the paper may have application for other environmental problems where multiple substances pose individual risks but also jointly contribute to a single risk.The views expressed in this document are solely those of the authors and do not reflect the views of the U.S. Department of Agriculture or the United States government.We would like to acknowledge the helpful comments and suggestions of Bruce Larson, Dick Brazee, and Jae Edmonds while taking full responsibility for any remaining errors.     

The design of optimal climate policy with air pollution co-benefits

This paper develops a model of an optimal regulatory program for greenhouse gases (GHGs) emissions that accommodates the benefits due to reductions of co-pollutants including: sulfur dioxide (SO₂), nitrogen oxides (NO_x), volatile organic compounds (VOC), and fine particulate matter (PM_2.5). Employing per ton damage estimates for the co-pollutants produced by an integrated assessment model, co-pollutant damage estimates per ton carbon dioxide equivalent (CO₂e) are developed for over 10,000 sources of GHGs in the lower 48 states including both transportation sources and electric power generation. For coal-fired electric power generation, the co-pollutant damages are larger in magnitude than recent peer-reviewed estimates of the marginal damage for GHGs. The co-pollutant damage per ton CO₂e varies considerably across source types and source location. The paper estimates the welfare gain from adopting a policy that encompasses the spatially variant co-pollutant damage to be between $1 million and $85 million annually. The range depends on the slope of the marginal abatement cost curve. The paper also shows that a distortionary aggregate emission cap reduces the advantage of differentiated policy. Provided an excessively strict cap, the spatially differentiated policy may reduce aggregate welfare. This result has important implications for GHG policy in the United States; although co-pollutant benefits of abating GHGs have been shown to be significant in magnitude, tailoring climate policy to reflect these source-specific co-benefits is not necessarily socially beneficial. This bolsters arguments for upstream policy designs.     

PRELIMINARY ESTIMATES OF CUMULATIVE PRIVATE AND EXTERNAL COSTS OF ENERGY

This is a summary comparison and "first rough cut" cumulation of recent estimates regarding private and external costs of energy. The estimates of external costs take into consideration damage to health and property caused by air pollution from coal, oil, and gas; damage caused by acid rain from coal, and costs of reducing acid rain; costs of delaying global warming caused by carbon dioxide from coal, oil, and gas; national security costs of importing oil, and benefits of oil security; national security costs of minimizing damage from terrorist attacks on nuclear power plants; insurance subsidies for nuclear accidents; storage of nuclear waste; loss of nuclear reactors from accidents and safety risks; and benefits from additional nuclear safety requirements. The estimates of private costs focus on nuclear plants, coal, oil, gas, conservation, wind, solar power plants, and geothermal steam.     

Choice and design of regulatory instruments in the presence of green consumers

Using a vertically differentiated product model, this paper examines welfare implications of various government policies in a situation where consumers are environmentally discerning. It studies ad valorem taxes/subsidies and emission taxes. The optimal policy depends on the magnitude of damage parameter associated with environmental externality. For a given distribution of tastes and preferences, as the damage parameter increases from a low to a high value, the optimal policy shifts from an ad valorem tax to an ad valorem subsidy. It also shows that for a sufficiently low damage parameter, an ad valorem tax dominates an emission tax.     

Alternative Environmental Regulation Schemes for the Belgian Power Generation Sector

This paper discusses the effects of alternative waysof using external cost estimates to regulateinvestments and generation in the electricityproduction sector. Starting from the existing system,four alternatives are considered: emission taxes forthe utility and for independent producers, emissiontaxes limited to the electric utility, emissionpermits limited to the electric utility and finally asystem where only investments are regulated, anddispatch is not. Taking external damage estimates fromthe literature, these alternatives are compared usinga dynamic partial equilibrium model of the Belgianelectricity market for the period 1995–2034. Theefficiency and distribution effects of the alternativeenvironmental policy instruments are quantified.     

Pollution havens: international empirical evidence using a shadow price measure of climate policy stringency

Given the ambiguous empirical results of previous research, this paper tests whether support for a climate policy-induced pollution haven effect and the pollution haven hypothesis can be found. Unlike the majority of previous studies, the analysis is based on international panel data and includes several methodological novelties: By arguing that trade flows of dirty goods to less dirty sectors may also be influenced by changes in policy stringency, trade information on primary, secondary, and tertiary sectors are included. In order to clearly differentiate between dirty sectors and sectors with high pollution abatement costs, separate measures for pollution intensity and policy stringency are implemented. For the former, two intensities, namely the sectors’ carbon dioxide emission intensity and the emission relevant energy intensity, are used to identify dirty sectors. For the latter, an internationally comparable, sector-specific measure of climate policy stringency is derived by applying a shadow price approach. Potential endogeneity between climate policy stringency, trade openness and the trade balance is controlled for by employing a dynamic panel generalized method of moments estimator. The results provide evidence for a pollution haven effect that is also present for non-dirty sectors, i.e., a sector’s net imports rise in general if the sector faces an increase in climate policy stringency. Moreover, a stronger pollution haven effect regarding carbon dioxide intensive and emission relevant energy-intensive sectors is revealed. However, no support for the stronger pollution haven hypothesis can be found.     

Rational Expectations and Price Determination in the US Oats Market

This paper develops a simultaneous rational expectations model of the US oats market Consistent estimates of the structural parameters are obtained by the instrumental variables method and 15 of 16 parameter estimates are significant at the 5 per cent level Estimated elasticities suggest that hedged stocks are more responsive to price changes than unhedged stocks, and that consumption demand for oats is more responsive to income changes than to changes in price. Post-sample forecasts of the spot price derived from this model are employed to test the semi-strong form efficient markets hypothesis (EMH), although the futures price outperforms the model as a predictor of the spot price. Hence the EMH cannot be rejected     

Carbon Dioxide Emissions in the U.S. Economy: A Structural Decomposition Analysis

This paper provides an empirical analysis of the impact of various influences on carbon dioxide emissions. It incorporates methodological refinements of input-output structural decomposition analysis, which is the examination of economic change by means of a set of comparative static variations in key parameters of I-O tables. The analysis is performed using a two-tiered KLEM model, which allows for estimation of substitution and technological change effects within and between input aggregates. The model is used to decompose the sources of change in CO₂ emissions in the U.S. over the 1972–82 timeframe using hybrid energy/value tables for the initial and terminal years. Results show the significant effect of substitution within the energy sector and between energy and other inputs as the leading causes of the decline in carbon dioxide emissions.     

Learning,estimation, and the stability of rational expectations

The stability of the rational expectations equilibrium of a simple asset market model is studied in a situation where a group of traders learn about the relationship between the price and return on the asset using ordinary least squares estimation, and then use their estimates in predicting the return from the price. The model which they estimate is a well-specified model of the rational expectations equilibrium, but a misspecified model of the situation in which the traders are learning. It is shown that for appropriate values of a stability parameter the situation converges almost surely to the rational expectations equilibrium.     

The Environmental and Economic Impact of the Carbon Tax in Australia

To fulfil its emission reduction target pledged in the Copenhagen accord, the Australian Government has determined to introduce a carbon tax from July 1st 2012. This paper simulates the effects on the environment and on the economy of a carbon tax of A$23 per tonne of carbon dioxide proposed by the government with, and without, a compensation policy. We employ a computable general equilibrium model with an environmentally extended Social accounting matrix. According to the simulation results, the carbon tax can cut emissions effectively, but will cause a mild economic contraction. Because the price signal is intact, the proposed compensation plan has little impact on emission cuts while significantly mitigating the negative effect of a carbon tax on the economy.     

Maximum likelihood estimation of time-varying parameters: an application to the Athens Stock Exchange index

The problem of maximum likelihood estimation of time-varying parameters is considered. A hierarchical approach is proposed that involves, first, the estimation of the model order and parameters when they are assumed time-invariant. Second, for each parameter, an autoregressive (AR) model, with constant coefficients, is developed. This allows the parameters to change over time. Finally, the estimates of the AR coefficients for each parameter are used as initial conditions to a time-varying model with AR coefficients, which are allowed to change over time subject to some regularity constraints. This approach is then applied to the Athens Stock Exchange index, where the dominant forces affecting this index are analysed.     

工业二氧化硫排放的影子价格:一个新的分析框架

科学衡量减排对工业产出的影响是环境政策和产业结构调整的重要依据。本文采用非参数方法构建paneldata的方向性环境生产前沿函数模型,衡量各地区工业二氧化硫排放变化对产出的边际净效应以及二氧化硫排放的影子价格。分析发现,二氧化硫的影子价格取决于排放水平和生产率水平高低,当二氧化硫排放水平较高、生产率水平较低时,减少排放的代价较低;相反,生产率水平较高、污染排放水平较低时,减少排放的代价较大。本文以北京、甘肃和河北为案例分析了这三个典型地区工业二氧化硫排放的影子价格及其变化特点。     

能源价格与中国碳排放量的调节

利用直接效用模型与岭回归分析方法,以1989—2009年的年度数据为样本,以能源价格为解释变量,碳排放量为被解释变量,能源消费、能源效率和经济发展为中间变量,初步探究能源价格波动对中国碳排放量的调节作用。结果表明：无论是能源价格变量单独作用还是与其他变量联合作用,能源价格都会对碳排放量产生不同程度的调节作用,调节程度的强弱主要取决于引入变量与碳排放量之间的相关性。     

Valuing the Ozone-Related Health Benefits of Methane Emission Controls

Methane is a greenhouse gas that oxidizes to form ground-level ozone, itself a greenhouse gas and a health-harmful air pollutant. Reducing methane emissions will both slow anthropogenic climate change and reduce ozone-related mortality. We estimate the benefits of reducing methane emissions anywhere in the world for ozone-related premature mortality globally and for eight geographic regions. Our methods are consistent with those used by the US Government to estimate the social cost of carbon (SCC). We find that the global short- and long-term premature mortality benefits due to reduced ozone production from methane mitigation are (2011) $790 and $1775 per tonne methane, respectively. These correspond to approximately 70 and 150 % of the valuation of methane’s global climate impacts using the SCC after extrapolating from carbon dioxide to methane using global warming potential estimates. Results for monetized benefits are sensitive to a number of factors, particularly the choice of elasticity to income growth used when calculating the value of a statistical life. The benefits increase for emission years further in the future. Regionally, most of the global mortality benefits accrue in Asia, but 10 % accrue in the United States. This methodology can be used to assess the benefits of methane emission reductions anywhere in the world, including those achieved by national and multinational policies.     

The incentives for supply chain collaboration to improve material efficiency in the use of steel: An analysis using input output techniques

In the face of increasing demand and limited emission reduction opportunities, the steel industry will have to look beyond its process emissions to bear its share of emission reduction targets. One option is to improve material efficiency — reducing the amount of metal required to meet services. In this context, the purpose of this paper is to explore why opportunities to improve material efficiency through upstream measures such as yield improvement and lightweighting might remain underexploited by industry. Established input–output techniques are applied to the GTAP 7 multi-regional input–output model to quantify the incentives for companies in key steel-using sectors (such as property developers and automotive companies) to seek opportunities to improve material efficiency in their upstream supply chains under different short-run carbon price scenarios. Because of the underlying assumptions, the incentives are interpreted as overestimates. The principal result of the paper is that these generous estimates of the incentives for material efficiency caused by a carbon price are offset by the disincentives to material efficiency caused by labour taxes. Reliance on a carbon price alone to deliver material efficiency would therefore be misguided and additional policy interventions to support material efficiency should be considered.     

Shadow prices of $$\hbox {CO}_{2}$$ emissions at US electric utilities: a random-coefficient,random-directional-vector directional output distance function approach

We estimate the shadow prices of \(\hbox {CO}_{2}\) emissions of electric utilities in the US over the period from 2001 to 2014, using a random-coefficient, random-directional-vector directional output distance function (DODF) model. The main feature of this model is that both its coefficients and directional vector are allowed to vary across firms, thus allowing different firms to have different production technologies and to follow different growth paths. Our Bayes factor analysis indicates that this model is strongly favored over the commonly used fixed-coefficient DODF model. Our results obtained from this model suggest that the average annual shadow price of \(\hbox {CO}_{2}\) emissions ranges from $61.62 to $105.72 (in 2001 dollars) with an average of $83.12. The results also suggest that the firm-specific average shadow price differs significantly across electric utilities. In addition, our estimates of the shadow price of \(\hbox {CO}_{2}\) emissions show an upward trend for both the sample electric utilities as a whole and the majority of the individual sample electric utilities.