Biased valuations, damage assessments, and policy choices: The choice of measure matters

Damages from, for example, an oil spill can be measured by how much people are willing to pay to avoid them, or by the minimum compensation they demand to accept them; and decisions to clean up can be justified by the willingness to pay to do it or by the compensation necessary to forgo it. Contrary to the usual official and unofficial conventions that the choice of measure is of no matter, the empirical evidence and intuitions of most people strongly suggest otherwise. The appropriate choice of measure appears to turn, not on legal entitlements, but on the reference state people use to judge negative and positive changes — a criteria that is likely to call into question most estimates of the damages of increased health risks and the value of environmental mitigation efforts.     

Biased valuations,damage assessments,and policy choices: The choice of measure matters

Damages from, for example, an oil spill can be measured by how much people are willing to pay to avoid them, or by the minimum compensation they demand to accept them; and decisions to clean up can be justified by the willingness to pay to do it or by the compensation necessary to forgo it. Contrary to the usual official and unofficial conventions that the choice of measure is of no matter, the empirical evidence and intuitions of most people strongly suggest otherwise. The appropriate choice of measure appears to turn, not on legal entitlements, but on the reference state people use to judge negative and positive changes — a criteria that is likely to call into question most estimates of the damages of increased health risks and the value of environmental mitigation efforts.     

Recreation demand estimation and valuation in spatially connected systems

Recreation demand models frequently are used to explain outdoor recreation behavior and to estimate willingness to pay for changes in environmental quality at recreation sites. Among the most commonly used recreation demand models are site choice models based on the multinomial logit framework, which account for the spatial relationships between each recreator's home and multiple alternative destinations thereby capturing the substitution possibilities among recreation sites. However, standard applications of this framework typically do not account for the possibility of spatial connections among the sites via movements of the target species, such as fish in connected water bodies in recreational angling applications or terrestrial species in hunting or wildlife viewing applications. In this paper we examine aspects of environmental valuation and natural resource dynamics that generally are addressed separately. Specifically, we show that in such spatially connected systems, a “reduced form” application of the standard site choice modeling approach, using proxy measures of environmental quality rather than direct measures of species abundances, can produce biased estimates of willingness to pay for environmental improvements. Furthermore, we show that under some conditions poorly targeted environmental improvements in spatially connected systems can lead to welfare decreases. In such systems a structural model of recreator site choices and species sorting behavior and population dynamics may be required to fully account for the spatial linkages among sites and the feedback effects between recreators and the target species.     

WHOSE LOSSES COUNT IN NATURAL RESOURCE DAMAGES?

This article examines economic and legal constraints that determine whose losses are included in natural resource damages as a result of an oil spill or hazardous-substance release. For example, the article describes the circumstances under which use losses experienced by young children would not be included in natural resource damages. With respect to nonuse damages, the article advocates excluding the expressed losses of people who have no knowledge of the specific natural resources affected by a spill/release and who are unaware that the natural resources were injured. In the absence of such knowledge and awareness, these people could not have experienced a welfare loss. Finally, the article discusses legal constraints on whose losses count in natural resource damages with respect to statutory exclusions, public versus private uses of natural resources, uses of natural resources by foreigners, and damages in the absence of injuries.     

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 welfare impacts of an invasive species: Endogenous vs. exogenous price models

The “fixed-prices” models used to measure damages from invasive species typically overestimate financial impacts. These fixed-price assessments do not address key behavioral modifications that lower costs as people adapt by changing their mix of inputs and outputs given new economic circumstances. Using the invasive emerald ash borer (Agrilus planipennis) in Ohio as a motivating example, we develop a computable general equilibrium model that accounts for these behavioral responses. We estimate annual damages from the beetle to be about $70 million, an order of magnitude less than the $400–$900 million in damages estimated using a fixed-price model. Damages are lower because people adapt through price and income adjustments that occur after ash trees are devastated from the emerald ash borer.     

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.     

Safe Minimum Standards in Dynamic Resource Problems: Conditions for Living on the Edge of Risk

Safe Minimum Standards (SMSs) has been advocated as a policy rule for certain environmental problems where uncertainty about risks and consequences are thought to be profound. This paper explores the rationale for such a policy within both static and dynamic frameworks and derives conditions for when SMS can be summarily dismissed as a policy choice and for when SMS can be defended as an optimal policy based on standard economic criteria. It turns out that these conditions can be checked with quite limited information about damages and risks. In order to analyze the SMSs in a dynamic setting, we develop a method for solving optimal control problems when state space is divided into risky and non-risky sub-sets.      

International Public Preferences and Provision of Public Goods: Assessment of Passive Use Values in Large Oil Spills

With global media reporting major environmental disasters, environmental damages linked to large oil spills may go well beyond the territorial limits of affected countries, particularly in the case of passive use values. In this analysis, we compare environmental damages linked a large oil spill off the coast of Spain using an online contingent valuation survey in three different European countries: Spain, UK, and Austria. Our results show that mean willingness to pay in Spain is about 124.37€/household, 80.87€/household in the UK, and 89.08€/household for Austria (expressed in 2009 prices). Conclusions and implications of our results suggest policy makers should consider the potential importance of passive use values in the compensation process of environmental damages caused by large international oil spills, especially within the European Union.     

Using the budget constraint to monetarise impact assessment results

Recent developments in Life Cycle Impact Assessment (LCIA) provide a basis for reducing the uncertainty in monetarisation of environmental impacts. The LCIA method “Ecoindicator99” provides impact pathways ending in a physical score for each of the three safeguard subjects humans, ecosystems, and resources. We redefine these damage categories so that they can be measured in terms of Quality Adjusted Life Years (QALYs) for impacts on human well-being, Biodiversity Adjusted Hectare Years (BAHYs) for impacts on ecosystems, and monetary units for impacts on resource productivity.The monetary value of a QALY can be derived from the budget constraint, i.e. the fact that the average annual income is the maximum that an average person can pay for an additional life year. Since a QALY by definition is a life-year lived at full well-being, the budget constraint can be determined as the potential annual economic production per capita at full well-being. We determine this to be 74,000 EUR with an uncertainty estimate of 62,000 to 84,000 EUR. This corresponds well to the 74,627 EUR willingness-to-pay estimate of the ExternE project. Differences to other estimates can be explained by inherent biases in the valuation approaches used to derive these estimates.The value of ecosystems can be expressed in monetary terms or in terms of QALYs, as the share of our well-being that we are willing to sacrifice to protect the ecosystems. While this trade-off should preferably be done by choice modelling, only one such study was found at the level of abstraction that allows us to relate BAHYs to QALYs or monetary units. Stressing the necessity for such studies, we resort to suggest a temporary proxy value of 1400 EUR/BAHY (or 52 BAHY/QALY), with an uncertainty range of 350 to 3500 EUR/BAHY.The practical consequences of the above-described monetarisation values has been investigated by combining them with the midpoint impact categories of two recent LCIA methods, thus providing a new LCIA method with the option of expressing results in both midpoints and an optional choice between QALY and monetary units as endpoint. From our application of the new method to different case studies, it is noteworthy that resource impacts obtain less emphasis than in previous LCIA methods, while impacts on ecosystems obtain more importance. This shows the significance of being able to express impacts on resources and ecosystems in the same units as impacts on human well-being.     

Cooperative Management of Groundwater Resources in the Presence of Environmental Externalities

This paper investigates how cooperation among users can achieve a better management of groundwater in the presence of environmental externalities. Cooperation allows users to internalize the damages caused by their activities and reduce extractions. The paper develops a game theoretical framework to assess the value of cooperation in an aquifer that is divided into three sub-aquifers that are being overly exploited. Two types of externalities are modeled: first, water extractions in each sub-aquifer impact water levels in neighboring sub-aquifers (extraction externality). Second, the three sub-aquifers are also connected to an ecosystem and thus decisions in each sub-aquifer affect the health of the ecosystem (environmental externality). A cooperative game theory model is applied. The model empirically shows how the uncontrolled extractions in each sub-aquifer affects neighboring groundwater users but also cause severe impacts to the linked ecosystem. The model is tested empirically in one of the most important aquifers in Spain, the Eastern la Mancha aquifer. The results illustrate how both extraction and environmental externalities interact in affecting the likelihood of cooperation among the users. The paper estimates the value of cooperation and its stability with and without the environmental externality.     

Sustainability impacts of car road pricing: A computable general equilibrium analysis for Austria

Nationwide car road pricing schemes are discussed across Europe. We analyse the impacts of such schemes with respect to environmental, economic and social indicators of sustainability, also quantifying the trade-offs among these three dimensions under different charging principles and revenue recycling options. In our analysis we employ a computable general equilibrium (CGE) approach, develop a modelling structure for private transport and provide detailed empirical analysis for the case of Austria. Regarding the social dimension, it has often been argued that poorer households (and commuters) would have to bear a disproportionate share of the road pricing burden. We find the contrary, i.e. a stronger negative policy impact on richer households, and on a small group of intensive car users. The choice of revenue recycling is able to ameliorate the negative social and economic effects of road pricing, without reversing the desired positive environmental effects. For political feasibility, questions of distributional impacts are most urgent and therefore we address them systematically within a quantitative framework.     

Evaluating the effects of area closure for recreational fishing in a coral reef ecosystem: The benefits of an integrated economic and biophysical modeling

This paper presents an integrated agent-based model of recreational fishing behavior within a reef ecosystem as a platform for the evaluation of recreational fishing management strategies. Angler behavior is described using econometrically estimated site choice models, with site choice among anglers driven by site attributes and angler characteristics. The biophysical model represents the marine reef environment as a system with different trophic levels identifying algal and coral growth as well as two types of fish (piscivores and herbivores). Ecosystem dynamics are driven by interactions within the trophic levels and interaction between fish populations and fishing activities.The model is used to simulate recreational fishing activities and their interactions with the environment. Recreational fishing sites from the Ningaloo Marine Park, an iconic coral reef system in Western Australia, are used as a case study. A set of management strategies, including “business-as-usual” and different site closure durations, are assessed for two different levels of fishing pressures. The results show that not only the effectiveness but also the distribution of management impacts across space and over time can be very different from what one would expect without the benefit of integrated modeling.     

Health effects and optimal environmental taxes

The literature on environmental taxation in the presence of pre-existing distortionary taxes has shown that interactions with these distortions tend to raise the cost of an environmental tax, and thus that the optimal environmental tax is less than marginal environmental damages. A recent paper by Schwartz and Repetto (2000) challenges this finding, arguing that the health benefits from reduced pollution will also interact with pre-existing taxes, and may cause the optimal environmental tax to exceed marginal damages.Schwartz and Repetto’s analysis represented health effects implicitly in the utility function. In contrast, the present paper explicitly represents health effects in an analytically tractable general equilibrium model. This model shows that interactions with health effects from pollution actually will tend to reduce the optimal environmental tax, contradicting, Schwartz and Repetto’s conclusion. This demonstrates the usefulness of explicitly modeling health effects, and it reinforces the general notion that tax-interactions tend to raise the costs of an environmental tax.     

Tracing distant environmental impacts of agricultural products from a consumer perspective

Globally, trade flows of agricultural products are increasing. While value is typically added along the whole production chain, certain environmental impacts, such as land and water use, biomass appropriation, and soil degradation, are intrinsically linked to where the primary products originate from. When taking a consumer oriented approach on environmental problems, bilateral trade statistics can help in providing a clearer picture about the location of impacts caused by consumption elsewhere. However, in today's increasingly globalized world, consumer goods are often imported from countries other than where the primary product originated from. For instance, soybeans are transported from Brazil to the Netherlands, where they are processed into soy oil, which is shipped to Austria, where it is consumed. Utilizing bilateral trade matrices and matrix algebra, we present a method that allows to clearly link consumption patterns to the origin of primary products. In this, the method can help to provide information about consumption related, distant environmental impacts. We employ the case of land and water use linked to Austria's soy product consumption to demonstrate the approach's relevance. Finally, we outline some possible applications of this method to show its potential in enhancing understanding for informed consumer based environmental decision making.     

Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions

Sanitation and wastewater treatment are essential for protecting human health and environmental sustainability. Treatment processes are not free of environmental impacts; consequently assessment of the environmental performance of wastewater treatment plants (WWTPs) has gained interest in recent years. Unlike other methods, a direct approach is followed to estimate environmental performance indicators (EPIs) using data envelopment analysis (DEA), i.e. an index of overall performance is directly obtained. The present study represents pioneering work to integrate environmental impacts in the assessment of the efficiency of WWTP estimating pure (PEPI) and mixed (MEPI) environmental performance indices for a sample of 60 Spanish WWTPs. Both direct and indirect greenhouse gas (GHG) emissions were considered as undesirable outputs. The best functioning WWTPs to be used as references were identified, and the potential for GHG reductions was quantified. A second-stage analysis was conducted to isolate factors affecting WWTP environmental performance. The results of this study are valuable for WWTP operators and policy makers, since the benchmark procedure allows support for environmental and managerial decision-making.     

Labor force growth and the environment in Costa Rica

The introduction to this report of a study that examines the potential environmental impacts of labor force growth (LFG) in Costa Rica under LFG scenarios notes that LFG is an economically critical aspect of population growth that can affect the environment by expanding the economy's production possibilities frontier and/or by increasing consumption. The introduction also explains why Costa Rica is ideal for this study and identifies the study as unique because it constructs a computable general equilibrium (CGE) model using 10 environmental indicators and because it models uncertainty regarding the values of the economic parameters. The report continues by reviewing the literature linking population and environmental issues; detailing the CGE model; discussing the 10 environmental indicators (deforestation, erosion, pesticide use, overfishing, hazardous wastes, inorganic wastes, organic wastes, greenhouse gas emissions, air pollution, and water/sewer usage) used in the model; and explaining the method used to simulate the impacts of LFG. The major conclusions that emerged from the results of this study are that 1) the economy-wide impacts of LFG (and, thus, population growth) on the environment are important and vary significantly according to the amounts of physical and human capital present in the labor force and 2) the impacts of LFG vary substantially among environmental indicators.     

Strategic Environmental Standards, Wage Incomes and the Location of Polluting Firms

The purpose of this paper is tostudy how the choice of environmental standardsby governments is affected by the existence ofwage incomes when firms locations areendogenous. In developed countries labor isunionized, which allows positive wage incomesto arise. Thus, each government has incentivesto persuade firms to locate in its countrysince social welfare depends on suchincomes. But, as pollution damages theenvironment, each government will only try toattract polluting firms to thecountry, to obtain the wage incomes, whenthe valuation of environmental damage showsthat it is low.     

An Analysis of Congestion Measures and Heterogeneous Angler Preferences in a Random Utility Model of Recreational Fishing

The potential importance ofcongestion effects on the management andrationing of recreational facilities andservices in the presence of heterogeneouspreferences were highlighted nearly twenty-fiveyears ago by Freeman and Haveman (1977). Whilethere have been a number of theoretical modelsextending and expanding upon this work(McConnell 1988; Anderson 1993), empiricalresearch evaluating such impacts is limited. Evidence of the potential impacts of congestionon resource usage is of obvious importance,especially for natural resource managers whounderstand that congestion can be an effectiverationing device and because users likelydiffer in both their preferences for use andaversion to congestion. It is the objective ofthis research to compare alternative measuresof congestion for explaining site choice withina random utility modeling framework. Thecongestion measures differ with respect to thetime horizon over which they are assumed to beformulated and the measure of central tendencyused to represent them. Furthermore, weinvestigate how the response to thesecongestion measures may differ across twodistinct angler types and the implications ofthose differences on the per trip willingnessto pay for stock enhancement.