The Ancillary Benefits from Climate Policy in the United States

This study investigates the benefits to human health that would occur in the United States (US) due to reductions in local air pollutant emissions stemming from a federal policy to reduce greenhouse gas emissions. In order to measure the impacts of reduced emissions of local pollutants, this study considers the Warner-Lieberman bill (S.2191) of 2007 and the paper considers the impacts of reduced emissions in the transport and electric power sectors. This analysis provides strong evidence that climate change policy in the US will generate significant returns to society in excess of the benefits due to climate stabilization. The total health-related co-benefits associated with a representative climate policy over the years 2010–2030 range between 103 billion and103 billion and 1.2 trillion in present value terms. Much of the co-benefit stems from between 32,000 and 189,000 avoided premature mortalities associated with exposure to PM_2.5 and O₃. Most of the co-benefits are due to reduced emissions of SO₂ from coal-fired power plants since these are an important contribution to ambient concentrations of PM_2.5. Among the most important determinants of co-benefits is the relationship between climate policy and existing policies governing SO₂ discharges from coal-fired power generation capacity. If SO₂ emissions are permitted to remain at current levels, total co-benefits are cut by 65%. We find that the co-benefit per ton of CO₂ emissions ranges between 1 and1 and 77 depending on modeling assumptions and year.     

Carbon Capture and a Commercial Market for CO2

With increasing evidence that the earth is warming at a faster rate than previously expected, there is pressure to reduce carbon dioxide (CO₂) emissions on a large scale. Because carbon capture helps to internalize the CO₂ externality, economists have begun to evaluate its potential. Two possibilities exist: carbon capture and storage (CCS), where CO₂ is sequestered, usually underground; and the development of a commercial market, where CO₂ is used for transformation into calcium carbonate, biofuels, air conditioning, or other market options. This paper contrasts CCS with the development of a commercial market for CO₂ and finds that the commercial market holds many advantages: internalization of the pollution externality, addressing the innovation externality, and revenue generation. Depending on the development of the commercial market, revenue from the sale of CO₂ could partially or fully offset the cost of innovation in carbon capture technology.     

Cost Benefit Analysis of European Air Quality Targets for Sulphur Dioxide, Nitrogen Dioxide and Fine and Suspended Particulate Matter in Cities

The European Commission has proposed air quality standards for NO₂, SO₂ and PM₁₀ to be in force by 2010. The present paper presents a study that gauged their costs and benefits. An analysis of the expected emissions for 2010 (reference emission scenario), using simplified air quality models, showed that non-compliance with these standards will occur in cities only, not in rural areas. Most compliance problems are expected for PM₁₀, least for SO₂. Central estimates of the costs to meet standards range from 21 MECU (SO₂), to 79 MECU (NO₂) to 87--225 MECU (PM₁₀). The estimated benefits are 83--3783 MECU (SO₂), 408--5900 MECU (NO₂), and 5007--51247 MECU (PM₁₀). Uncertainties are high, due to errors and incertitude in various steps of the methodology, mainly the estimation of the human health effects, in particular effects on mortality, and in the valuation of a statistical life. In the case of PM₁₀, additional uncertainty results from the small size of the air quality database. Notwithstanding the uncertainties, the indications are that the benefits exceed the costs.     

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.     

EE-IO modeling of the environmental impacts of Finnish imports using different data sources

The environmental impacts of Finnish imports were modeled using alternative emission datasets. The first dataset was based on domestic technology assumptions from the Finnish environmentally extended input-output (EE-IO) model. In the second dataset, emissions of the largest volumes of imported goods were substituted for EIOLCA (USA) data and in the third option for data from Ecoinvent and the Danish LCA Food Database. Comparative results show that the environmental impacts of imports based on domestic emission intensities are mostly lower than the alternative approaches. Considering the high level of Finnish environmental protection we concluded that the impacts of imports are underestimated using domestic emission intensities. Additionally, we concluded that hybrid IO modeling will increase the accuracy of IO modeling by using process-based data for the most relevant material flows until a multi-regional IO model for Finland has been developed.     

Decomposition of energy-related CO2 emission over 1991-2006 in China

This paper presents a decomposition analysis of energy-related CO₂ emission in China for the period 1991-2006 divided into three equal time intervals. The complete decomposition method developed by Sun is used to analyze the nature of the four factors: CO₂ intensity, energy intensity, structural changes and economic activity. The results show that economic activity has the largest positive effect in CO₂ emission changes in all the major economic sectors and China has achieved a considerable decrease in CO₂ emission mainly due to the improved energy intensity. However, the impact of CO₂ intensity and structural changes is relatively small. Structural changes only exhibit positive effect to the CO₂ mitigation in agricultural sector, and CO₂ intensity also contributes to the decrease of CO₂ emission in transportation sector. Moreover, a formula about CO₂ mitigation is presented in this paper, which shows that China has made a significant contribution to reducing global CO₂ emission.     

Stochastic evolutionary selection in finite populations

We primarily focus on a wide range of stochastic evolutionary game dynamics between two strategies which are characterized by a condition we call monotonicity: the sign of the difference between the probabilities of increasing and decreasing an A-individual completely depends on the difference of payoffs based on different strategies. When mutations are excluded, we provide sufficient conditions for selection to favor one strategy over the other and necessary conditions for selection to favor or oppose change, respectively. Moreover, we discuss which strategy will be favored in case of rare mutations and give a simple rule to determine evolutionary selection of strategies for large populations under some specific stochastic mutation–selection dynamics.     

Heterogeneous capital stocks and the optimal timing for CO2 abatement

Some recent research suggests benefits to a delayed CO₂ emission reduction strategy. If the target level of atmospheric CO₂ concentration can be achieved in spite of delay, several factors suggest economic benefits to a delay strategy. However, the analyses that lead to these conclusions typically ignore or underestimate the significant heterogeneity in the turnover rate of society's capital stock. This research explores the relationship between the turnover rate of capital stocks and the delay decision using a model and empirically estimated abatement costs. The results suggest that under many different assumptions, an early start at CO₂ abatement for long-lived capital stocks would be economically optimal.     

Idiosyncratic risk and the cost of capital: the case of electricity networks

We analyze the treatment and impact of idiosyncratic or firm-specific risk in regulation. Regulatory authorities regularly ignore firm-specific characteristics, such as size or asset ages, implying different risk exposure in incentive regulation. In contrast, it is common to apply only a single benchmark, the weighted average cost of capital, uniformly to all firms. This will lead to implicit discrimination. We combine models of firm-specific risk, liquidity management and regulatory rate setting to investigate impacts on capital costs. We focus on the example of the impact of component failures for electricity network operators. In a simulation model for Germany, we find that capital costs increase by \(\sim \) 0.2 to 3.0 % points depending on the size of the firm (in the range of 3–40 % of total cost of capital). Regulation of monopolistic bottlenecks should take these risks into account to avoid implicit discrimination.     

Impacts of Novel Protein Foods on Sustainable Food Production and Consumption: Lifestyle Change and Environmental Policy

We analyse the impacts of a change in consumers’ preference for Novel Protein Foods (NPFs), i.e. a lifestyle change with respect to meat consumption, and the impacts of environmental policies e.g. tradable emission permits for greenhouse gases (GHGs) or an EU ammonia (NH₃) emission bound per hectare. For our analysis we use a global applied general equilibrium (AGE) model that includes consumers’ lifestyle change, different production systems, emissions from agricultural sectors, and an emission permits system. Our study leads to the following conclusions. Firstly, more consumption of NPFs assists in reducing global agricultural emissions of methane (CH₄), nitrous oxides (N₂O) and NH₃. However, because of international trade, emission reduction does not necessarily occur in the regions where more NPFs are consumed. Secondly, through lifestyle change of the ‘rich’, the emission reduction is not substantial because more ‘intermediate’ consumers will increase their meat consumption. Finally, for the same environmental target the production structure changes towards less intensive technologies and more grazing under environmental policy than under lifestyle change.

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Learning to play Bayesian games

This paper discusses the implications of learning theory for the analysis of games with a move by Nature. One goal is to illuminate the issues that arise when modeling situations where players are learning about the distribution of Nature's move as well as learning about the opponents' strategies. A second goal is to argue that quite restrictive assumptions are necessary to justify the concept of Nash equilibrium without a common prior as a steady state of a learning process.     

Global warming and economic externalities

Despite worldwide policy efforts such as the Kyoto Protocol, the emission of greenhouse gases (GHG) remains a negative externality. Economic equilibrium paths in the presence of such an uncorrected externality are inefficient; as a consequence, there is no real economic opportunity cost to correcting this externality by mitigating global warming. Mitigation investment using resources diverted from conventional investments can raise the economic well-being of both current and future generations. The economic literature on GHG emissions misleadingly focuses attention on the intergenerational equity aspects of mitigation by using a hybrid constrained optimal path as the “business-as-usual” benchmark. We calibrate a simple Keynes-Ramsey growth model to illustrate the significant potential Pareto improvement from mitigation investment and to explain the equilibrium concept appropriate to modeling an uncorrected negative externality.     

The econometric critique of computable general equilibrium modeling: the role of functional forms

Computable general equilibrium (CGE) models are among the most influential tools in applied economics. However, some serious questions have been raised about the empirical validity of these models. The core of the critique is that the parameter selection criteria are unsound and the use of first-order (CES class) functional forms imposes influential restrictions on the model's structure. A formal summary of the case against standard CGE modeling is presented, as is an alternative econometric-based modeling strategy which answers the critique. We then present a comparative CGE modeling experiment designed to assess the role of function forms. It is found that choice of functional forms affects not only industry-specific results, but aggregate results as well, even for small policy shocks.     

Reducing climate change impacts on agriculture: Global and regional effects of mitigation, 2000–2080

What are the implications for agriculture of mitigating greenhouse gas emissions? By when and by how much are impacts reduced? Where does it matter most? We investigated these questions within the new A2 emission scenario, recently developed at the International Institute of Applied Systems Analysis with revised population and gross domestic product projections. Coupling an agro-ecological model to a global food trade model, two distinct sets of climate simulations were analyzed: 1) A non-mitigated scenario, with atmospheric CO₂ concentrations over 800 ppm by 2100; and 2) A mitigation scenario, with CO₂ concentrations stabilized at 550 ppm by 2100. Impacts of climate change on crop yield were evaluated for the period 1990–2080, then used as input for economic analyses. Key trends were computed over the 21st century for food demand, production and trade, focusing on potential monetary (aggregate value added) and human (risk of hunger) impacts. The results from this study suggested that mitigation could positively impact agriculture. With mitigation, global costs of climate change, though relatively small in absolute amounts, were reduced by 75–100%; and the number of additional people at risk of malnutrition was reduced by 80–95%. Significant geographic and temporal differences were found. Regional effects often diverged from global net results, with some regions worse off under mitigation compared to the unmitigated case.     

Transfers and the Samuelson Rule in Stock Externality Provision—Why Do We Need Them Both?

This paper examines the relationship between the Samuelson rule for efficient provision of stock externality and unilateral transfers for equalization of mitigation costs among the agents. Using a generic model of stock externality provisions, we proved that the revised Samuelson rule that allows transfers is a necessary and sufficient condition for efficient provision of stock externalities. In addition, selection of social welfare weights of the agents plays a key role in directions and magnitudes of the transfers. We discuss the implications of the revised Samuelson rule in economic modeling of climate change, an empirical case of stock externality, through numerical simulations in the RICE model.     

Estimating a health production function for Sub-Saharan Africa (SSA)

The paper estimates a health production function for Sub-Saharan Africa based on the Grossman (1972 Grossman M 1972 The Demand for Health: A Theoretical and Empirical Investigation, NBER New York ) theoretical model that treats social, economic, and environmental factors as inputs of the production system. In estimating this function, socioeconomic and environmental factors such as income per capita, illiteracy rate, food availability, ratio of health expenditure to GDP, urbanization rate, and carbon dioxide emission per worker are specified as determinants of health status. The parameters of the function are estimated by one-way and two-way fixed and random effects model of panel data analyses. The results of the two-way random effect model suggest that an increase in income per capita, a decrease in illiteracy rate, and an increase in food availability are strongly associated with an improvement in life expectancy at birth. Overall, the results imply that a health policy which may focus on the provision of health services, family planning programs, and emergency aids to the exclusion of other socioeconomic and environmental aspects may do little to improve the current health status of the region.     

Air Pollution and Sick-leaves

During the last decade an increasing amount of studies have investigatedthe relationship between air pollution and human health effects. In thisstudy we investigate how these effects in turn induce reduced labourproductivity in terms of sick-leaves, which is an important factor inassessment of air pollution costs in urban areas. For this purpose weemploy a logit model along with data on sick-leaves from a large office inOslo and different air pollutants. Our results indicate that sick-leaves aresignificantly associated with particulate matter (PM₁₀), while theassociations with SO₂ and NO₂, are more ambiguous. We also tryto estimate the induced social costs in terms of lost labour productivity andincreased governmental expenditures, although these estimates are moreuncertain.     

Mobile termination rates and the receiver-pays regime

The European Commission has recently invited national regulatory authorities to decrease access charges to the cost of an efficient operator. Some large operators warned regulators and users that cutting access charges could result in the US style business model, where mobile users pay for both making and receiving calls. I show that mobile operators charge for incoming calls when the access charge is below cost even if receivers can hang up. In such a case profits are neutral with respect to the level of the access charge. I further show that ‘bill and keep’ is a constrained social optimum when the call externality is strong, even if receivers pay and can hang up. Finally, I discuss the policy implications of these results.     

Comment on “C.E.S. production functions in the light of the Cambridge critique”

The controversy revived in Bertram Schefold’s paper is based on three common assumptions: (1) the underlying techniques are linear (2) perfect competition obtains (3) the economy operates in a putty-putty context. The consequences of dropping these assumptions are discussed, and the relation between nonlinearity and the error due to the use of an “imprecise” production function is examined.     

Optimal nonlinear income taxation with productive government expenditure

This paper develops an endogenous growth model with a production externality and nonlinear income taxation, and uses it to examine how the fiscal authority devises its nonlinear tax structure from the viewpoint of welfare maximization. It is found that, in the Barro (1990) model, Pareto optimality can be achieved if both policy instruments for the tax scalar and the extent of the tax progressivity/regressivity are set optimally.