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.     

Does economic growth and energy consumption drive environmental degradation in China’s 31 provinces? New evidence from a spatial econometric perspective

The panel data analysis points to economic and social factors contributing to NO_x, PM_2.5, PM₁₀, SO₂, and VOCs in China’s 31 provinces. The spatial correlation analysis using Global and Local Moran’s I values indicates the existence of a significant and positive spatial autocorrelation with respect to environment, economy and energy, and the high spatial correlation is evident in the eastern region, covering the northern part of Yangtze River Delta, Huaihai Economic Zone, and the lower reaches of the Yellow River Economic Belt. The empirical estimation is performed through spatial lag and spatial Durbin models. All emitted air pollutants in 31 provinces have significant spatial dependence and strong spillover effects. There is an inverted U-shaped relationship between emitted air pollutants (NO_x, PM₁₀, VOCs, and PM_2.5) and per capita GDP, which follows the EKC hypothesis. The relationship between SO₂ and per capita GDP does not follow the EKC hypothesis. There is a positive relationship between pollutant emissions and coal consumption, which is consistent with current studies for various countries like Canada, Denmark, UK and US and regions like New York State. However, the effects of science and technology investment on air pollutants are mostly positive, which is not as policy expected.     

Climate policy in Western Europe and avoided costs of air pollution control

Abatement of CO₂ emissions will be accompanied by reduced air pollutant emissions such as particulate matter (PM), SO₂, and NO_x. This, in turn, will reduce the need for end of pipe (EOP) pollution control technologies to meet future air quality targets. This dynamic could put more stringent air quality goals within reach, and increase the political feasibility of climate policy. This paper presents a CGE model that has been modified to include the emissions and EOP abatement of PM, SO₂, and NO_x from stationary sources in the EU-17. Emissions of pollutants are modeled as fixed-factor complementary inputs to their associated source. Abatement in each sector is modeled as a substitution between the pollutants and discrete abatement technologies, each of which is sector-specific and characterized by a marginal abatement cost and technical capacity constraint. Scenarios are run to 2020, to assess the costs and co-benefits of simultaneous air quality and climate policies. We find that under the Kyoto Protocol in 2010, the welfare cost of pollution control is reduced by 16% compared to the baseline, effectively offsetting the cost of CO₂ abatement by 15%. The co-benefit results depend heavily on policy choices, and their magnitude relative to total costs is likely to decline as greenhouse targets become more ambitious. In our scenarios, pollution control cost savings range from 1.3 to 20% in 2020, yielding a climate cost offset range of 0.2 to 3.9%. The CO₂ credit imports allowed by the EU via the Clean Development Mechanism (CDM) offer a total savings of $9.7bn in 2020, but only need to be compensated by an additional $0.3–0.4bn in domestic pollution control from stationary sources.     

The control of CO2 emissions and its economic impact: An AGE model for a german state

Since it is believed that CO₂ is responsible for 55% of the greenhouse effect, a CO₂ levy is now under consideration in several countries. For an assessment of the macroeconomic implications of an integrated energy and environmental policy we employ an applied general equilibrium model (AGE) since all sectors of an economy and all private households contribute to CO₂ emission. Our model is a temporary equilibrium model with capacity extension under adjustment costs and with abatement activities for SO₂ and NO_x emissions.The model of consumer behavior will result in a system of consumer demand functions for non-durables as well as for durable goods. The simulations show the cost of inefficiency in resource allocation if CO₂ taxes differ between industries and households. We finally present the marginal cost curve of CO₂ emission reduction.     

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.     

Political Blue Sky: Evidence from the Local Annual “Two Sessions” in China

During politically sensitive periods, Chinese governments tend to take urgent administrative measures to control air pollution creating the temporary political blue sky. This empirical study uses the case of local "two sessions", one of the most politically sensitive periods in localities and examines the daily air quality index (AQI) as well as concentration data of air pollution components, including PM2.5, PM10, SO₂, CO, NO₂ and O₃ of 319 cities in China from November 2013 to June 2018. Results show that AQI decreases by approximately 4.5% during local "two sessions" periods compared to non- “two sessions” periods. Air quality improvements are mainly reflected in visible pollutants such as PM2.5, PM10 and SO₂. The mitigation of NO₂ and O₃, which is not observable by public, is not significant. In addition, the empirical results indicate that air quality deteriorates dramatically after the "two sessions". Therefore, the political blue sky comes with the price of catching up pollution that occurs after the political events.     

Critical factors in computing externalities for electricity resources

The New York State Environmental Externalities Cost Study and computerized externality model (EXMOD) are used to examine the specification of methods design and application factors in the computation of electricity externalities. We report the sensitivity of externality estimates with alternative specifications for 15 different factors in the analysis, including the selection of facility type, site, and operating characteristics; air emission assumptions and air modeling procedures; dose-response assumptions; economic valuation assumptions; and other modeling procedures and assumptions. Many of the factors that most influence externality computations can be well specified in the analysis, such as the facility type, age, characteristics, emission rates, whether there is SO₂ trading, and the inclusion of long range impacts. Most significant among the factors for which there remains significant scientific uncertainty are the selection and application of air dispersion models, selection of air pollution thresholds for health impacts, reduced life span risks associated with ozone exposure and with long-term exposure to PM₁₀, values for CO₂ damages, and the value to be applied to increased risks of reduced life span for individuals age 65 or older.     

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.     

Willingness to pay to control PM2.5 pollution in Jing-Jin-Ji Region,China

This letter aims to study individual willingness to pay (WTP) to mitigate PM_2.5 pollution in the Jing-Jin-Ji region by using contingent valuation method. Our survey indicated that residents in this region were highly concerned about PM_2.5 pollution control and supported PM_2.5 pollution control policies. In this study, a payment card (PC) format is used to elicit residents’ perceived WTP. With a two-part model, we estimate the mean WTP for an 80% reduction of severe PM_2.5 polluting days in this region is 602 CNY a year, approximately accounts for 1% of the GDP per capita. This result indicates an important funding source for the government to control PM_2.5 pollution in the region. In the econometric analysis, the mean WTP is found to significantly relate with income, expense, age and education level. It decreases with income, age and educational level, but increases with expense, and it is higher for females, people who have children, own cars and apartments but lower for those having larger families. By comparing with relevant researches, this letter indicates a strong and ever-increasing WTP for air pollution control among residents in the Jing-Jin-Ji region, China.     

Norwegian Emissions of CO2 1987–1994 A Study of Some Effects of the CO2 Tax

Several countries have introduced taxes on fossil fuels with the aim of reducing atmospheric emissions, partly because of local environmental goals (SO₂, NO_x) and partly to participate in a global effort to reduce emissions of greenhouse gases. Many macroeconomic studies, based on both global and national models, have been made of how emissions can be reduced with the help of taxes and the consequent reduction in GDP following the introduction of such taxes. Norway has had a CO₂ tax for five years, thereby providing a unique opportunity to evaluate the effects of this tax on emissions. The paper provides a counterfactual analysis of energy consumption and emissions if no CO₂ taxes had been introduced, compared with the actual situation in which such taxes exist. The effect of a CO₂ tax on oil consumption, and thus CO₂ emissions is studied on the basis of partial economic models for various sectors of the Norwegian economy. The study indicates that the CO₂ tax has had an impact on CO₂ emissions in Norway.     

Effects of political institutions on air quality

We empirically test existing theories on the provision of public goods, in particular air quality, using data on sulfur dioxide (SO₂) concentrations from the Global Environment Monitoring Projects for 107 cities in 42 countries from 1971 to 1996. The results are as follows: First, we provide additional support for the claim that the degree of democracy has an independent positive effect on air quality. Second, we find that among democracies, presidential systems are more conducive to air quality than parliamentary ones. Third, in testing competing claims about the effect of interest groups on public goods provision in democracies we establish that labor union strength contributes to lower environmental quality, whereas the strength of green parties has the opposite effect.     

Impacts of an EC carbon/energy tax and deregulating thermal power supply on CO2, SO2 and NOx emissions

Emission of CO₂, SO₂ and NO_x are all closely linked to the burning of fossil fuels. Here we report on simulations done by linking a Sectoral European Energy Model (SEEM), covering energy demand in nine Western European countries, with the emission-transport-deposition model RAINS developed by IIASA. The study analyses emissions of CO₂, SO₂ and NO_x, deposition of sulphur and nitrogen and the extent of areas where the critical load for sulphur is exceeded in year 2000 under four different energy scenarios. Two different sets of future behavioural patterns for the thermal electric power production sector are considered. In one regime, called the plan-efficient regime, the sector is assumed to follow official plans with regard to investment in new capacity. In the other regime, called the cost-efficient regime, the thermal power sector is assumed to behave in a cost minimizing manner. The effects of the proposed EC carbon/energy tax are studied under both regimes, giving rise to altogether four scenarios.In both regimes the effect of the EC tax is to reduce emissions by between 6 and 10 per cent in year 2000 relative to the scenarios without the tax. A change of regime, from the regulated, plan-efficient regime to the market-based, cost-efficient regime, will, by itself, reduce emissions of CO₂ and NO_x by approximately 3 per cent, while SO₂ emissions are reduced by 13 per cent. The EC tax will reduce sulphur deposition by more than 5 per cent in the nine model countries under the plan-efficient regime. A change of regime further reduces the total deposition by 9 per cent. The area where depositions exceed the critical load is reduced by approximately 6 per cent in year 2000 by the tax in both regimes. Changing from the plan-efficient to the cost-efficient regime has a similar impact.Although the emission reductions due to the EC tax may seem modest, they are shown to have a sizeable effect on the technological abatement costs of reaching targets like those prescribed in the Sofia protocol on the stabilisation of NO_x emissions, and the Helsinki protocol on SO₂ emission reductions. This is part of what can be considered to be secondary benefits of the EC carbon/energy tax.     

Impact of FDI and trade on environmental quality in the CAFTA-DR region

This study investigates the relationship between foreign direct investment (FDI), trade and industrial emissions in member countries of the Central American Free Trade Agreement–Dominican Republic (CAFTA-DR) between 1979 and 2010. Our model is based on extant literature about the Environmental Kuznets’ Curve framework. In this study, we consider sulphur dioxide (SO₂), nitrogen oxides (NO_x) and carbon dioxide (CO₂) as our dependent variables. Our key independent variables are FDI and trade. Our study finds evidence that foreign investment and trade have had a negative impact on our selected emissions. However, our models also estimate turning points which are below the current GDP per capita values for all CAFTA-DR member countries. This is an encouraging trend in terms of the potential reduction in emissions in the region.     

The U.S. allowance trading system for sulfur dioxide: An update on market experience

In 1990, the U.S. Congress passed legislation that amended the Clean Air Act to create a new program to mitigate the effects of acid deposition in the U.S. through emission reductions of sulfur dioxide (SO₂) and nitrogen oxides (NO_x) at electric utility plants across the country. The SO₂ reductions, totalling a 40% reduction nationally from 1980 levels or a 10 million ton reduction annually, are achieved largely through an emission trading system, the largest program of its kind designed to date. This trading system has the potential to save up to half of the compliance costs associated with more traditional source-by-source emission limit programs.This paper briefly discusses background on the acid rain issue in the United States, and the principal features of the program, including: a permanent cap on utility emissions of SO₂ beginning in 2010, decision to grant up-front allocation of emission credits to reduce individual approvals of trades, the use of continuous emission monitors and automatic penalties to ensure compliance, and integration of the Acid Rain program requirements with other Clean Air Act programs. The paper also discusses the development of the allowance trading market to date, including the types of compliance options chosen and quantity and type of emissions trading being conducted.The U.S. Government right to retain a non-exclusive, royalty free licence in and to any copyright is acknowledged.     

Openness and the Environmental Kuznets Curve: Evidence from China

This paper investigates the relationship in China between trade, growth and emissions using provincial-level data for water (chemical oxygen demand: COD) and air (sulphur dioxide: SO₂). It analyses the period 1990–2007 in three steps. First, the income ‘turning point’ of the Environmental Kuznets Curve (EKC) has been estimated using quadratic log function and obtained a turning point consistent with existing studies. Second, adopting Dean's (2002) simultaneous equations system, the relationships between trade, growth and emissions has been estimated and the results confirm the dominance of scale effects over technique effects. Third, the estimated per capita turning point for EKC is used to split the provincial industrial database into two groups (below and above turning point income) and simultaneous equations are estimated separately for them. The split sample provided limited support for the trade-induced emissions hypothesis for COD, but not for SO_2. At the provincial level rising incomes via increased levels of international trade were associated with falling COD due to the technique effect, so that rising incomes among the provinces tended to be associated with lower emissions. Stricter environmental regulations are required for growing incomes because they may encourage better production techniques.     

VALUING HEALTH EFFECTS: THE CASE OF OZONE AND FINE PARTICLES IN SOUTHERN CALIFORNIA

This study presents a conservative estimate of the health benefits that would result from attainment of the federal ozone and fine particle (PM_2.5) standards in the South Coast Air Basin of southern California. A three‐stage approach is used that links pollution exposures to adverse health outcomes to economic values. The annual value of the aggregate health benefits approaches $500 million (with a range of $295–$646 million) for ozone and exceeds $21 billion (with a range of $12.85–$34.22 billion) for fine particles. Such results are useful to regulatory agencies and other policy makers when evaluating the merits of various air pollution reduction strategies. (JEL Q51, Q53)     

WTO accession,trade expansion,and air pollution: Evidence from China’s county‐level panel data

This study provides evidence that trade expansion has contributed to the degradation of air pollution in China. On the basis of different responses of counties’ trade to China's World Trade Organization accession at the end of 2001, we exploit air pollution data from NASA to construct a difference‐in‐differences predicted trade as an instrument for our identification. We document statistically significant and robust evidence on trade expansion, which accounts for approximately 60% and 20% for the increase of PM_2.5 and SO₂, respectively, in China. Findings on trade pollution relation are robust to various tests. Deterioration in the environment is mainly driven by scale and trade in polluting sectors.     

Health Damage of Air Pollution: An Estimate of a Dose–Response Relationship for the Netherlands

This paper estimates the dose-response relationship between air pollution and the number of work loss days for the Netherlands. The study is based on illness data (work loss days) for the Dutch labour population and average year concentrations of air pollution in 29 districts. The dose-response relationship has been estimated by means of two different techniques: the ordinary least squares method (OLS) and the one-way fixed-effects method (OWFEM), which we consider to be more adequate. In general health effects are much smaller when OWFEM is applied than if OLS is used. With OWFEM a significant relationship is found between sulphate aerosol (SO₄), ammonia (NH₃) and the number of work loss days (WLDs). Particulates (TSP), O₃ and SO₂ have no significant effect on the number of WLDs. These results differ from those obtained in studies in the United States, which indicate that particulates (TSP) and other small particles, ozone (O₃) and to a lesser extent SO₄ and SO₂ significantly influence the number of WLDs.     

Static and dynamic efficiency of pollution control strategies

A great deal of the economic literature on pollution control strategies concentrates on the efficiency of environmental policy instruments. Most analytical studies in this field show that market instruments are more efficient with respect to the cost of pollution abatement of a given number of polluters than non-market instruments. According to several analytical studies, market instruments should also be more efficient with respect to innovation in pollution abatement equipment than non-market instruments. In the empirical literature a great number of case studies exist with estimations of the savings of abatement costs of market instruments in a situation without technological progress. Empirical studies about the impact of environmental policy market instruments on the abatement costs in situations with technological progress are lacking.The purpose of this paper is to fill this gap. The paper deals with an empirical estimation of abatement costs for the emission of SO₂ of coal-fired electricity units in the Netherlands from 1985 to 2000. First, the working of market instruments and non-market instruments (the existing environmental policy of the Dutch government) is simulated in a static situation. Second, we analyse the learning effects of flue gas desulphurization. The efficiency advantage of market instruments turns out to be larger in a situation of technological progress than in a static situation.     

CO2 abatement policy with learning-by-doing in renewable energy

This paper analyzes the implications of CO₂ abatement when there is endogenous technological change in renewable energy. A multi-sector numerical general equilibrium model for Denmark is proposed to reflect two basic assumptions about technological progress in renewable energy. First, there is learning-by-doing and unit costs of production are a decreasing function of cumulated output. Second, technological progress only benefits new vintages of capital. The learning-by-doing process is calibrated to match current projections for technological progress in wind-based electricity. The implications are a marked reduction in the total and marginal cost of abatement and a decline in the optimal level of near-term abatement.