This research investigates the environment and development issues of three stakeholders at multiple scales—global, national, regional, and local. Through the analysis of financial, social, and environmental metrics, the potential benefits and risks of each case study are estimated, and their implications are considered. In the first case study, the relationship of manufacturing and environmental performance is investigated. Over 700 facilities of a global manufacturer that produce 11 products on six continents were investigated to understand global variations and determinants of environmental performance. Water, energy, carbon dioxide emissions, and production data from these facilities were analyzed to assess environmental performance; the relationship of production composition at the individual firm and environmental performance were investigated. Location-independent environmental performance metrics were combined to provide both global and local measures of environmental performance. These models were extended to estimate future water use, energy use, and greenhouse gas emissions considering potential demand shifts. Natural resource depletion risks were investigated, and mitigation strategies related to vulnerabilities and exposure were discussed. The case study demonstrated how data from multiple facilities can be used to characterize the variability amongst facilities and to preview how changes in production may affect overall corporate environmental metrics. The developed framework adds a new approach to account for environmental performance and degradation as well as assess potential risk in locations where climate change may affect the availability of production resources (i.e., water and energy) and thus, is a tool for understanding risk and maintaining competitive advantage. The second case study was designed to address the issue of delivering affordable and sustainable energy. Energy pricing was evaluated by modeling individual energy consumption behaviors. This analysis simulated a heterogeneous set of residential households in both the urban and rural environments in order to understand demand shifts in the residential energy end-use sector due to the effects of electricity pricing. An agent-based model (ABM) was created to investigate the interactions of energy policy and individual household behaviors; the model incorporated empirical data on beliefs and perceptions of energy. The environmental beliefs, energy pricing grievances, and social networking dynamics were integrated into the ABM model structure. This model projected the aggregate residential sector electricity demand throughout the 30-year time period as well as distinguished the respective number of households who only use electricity, that use solely rely on indigenous fuels, and that incorporate both indigenous fuels and electricity. The model is one of the first characterizations of household electricity demand response and fuel transitions related to energy pricing at the individual household level, and is one of the first approaches to evaluating consumer grievance and rioting response to energy service delivery. The model framework is suggested as an innovative tool for energy policy analysis and can easily be revised to assist policy makers in other developing countries. In the final case study, a framework was developed for a broad cost-benefit and greenhouse gas evaluation of transit systems and their associated developments. A case study was developed of the Atlanta BeltLine. The net greenhouse gas emissions from the BeltLine light rail system will depend on the energy efficiency of the streetcars themselves, the greenhouse gas emissions from the electricity used to power the streetcars, the extent to which people use the BeltLine instead of driving personal vehicles, and the efficiency of their vehicles. The effects of ridership, residential densities, and housing mix on environmental performance were investigated and were used to estimate the overall system efficacy. The range of the net present value of this system was estimated considering health, congestion, per capita greenhouse gas emissions, and societal costs and benefits on a time-varying scale as well as considering the construction and operational costs. The 95% confidence interval was found with a range bounded by a potential loss of $860 million and a benefit of $2.3 billion; the mean net present value was $610 million. It is estimated that the system will generate a savings of $220 per ton of emitted CO2 with a 95% confidence interval bounded by a potential social cost of $86 cost per ton CO2 and a savings of $595 per ton CO2.

Fires within the built environment are a fact of life and through design and the application of the building regulations and design codes, the risk of fire to the building occupants can be minimised. However, the building regulations within the UK do not deal with property protection and focus solely on the safety of the building occupants. This research details the statistical analysis of the UK Fire and Rescue Service and the Fire Protection Association's fire incident databases to create a loss model framework, allowing the designers of a buildings fire safety systems to conduct a cost benefit analysis on installing additional fire protection solely for property protection. It finds that statistical analysis of the FDR 1 incident database highlights the data collection methods of the Fire and Rescue Service ideally need to be changed to allow further risk analysis on the UK building stock, that the statistics highlight that the incidents affecting the size of a fire are the time from ignition to discovery and the presence of dangerous materials, that sprinkler activations may not be as high as made out by sprinkler groups and that the activation of an alarm system gives a smaller size fire. The original contribution to knowledge that this PhD makes is to analyse the FDR 1 database to try and create a loss model, using data from both the Fire Protection Association and the Fire and Rescue Service.

Formaldehyde is one of the most prevalent and toxic chemicals found indoors, where we spend ~90% of our lives. Chronic exposure to formaldehyde indoors, therefore, is of particular concern, especially for sensitive populations like children and infants. Unfortunately, no effective filtration control strategy exists for its removal. While research has shown that proteins in sheep's wool bind permanently to formaldehyde, the extent of wool's formaldehyde removal efficiency and effective removal capacity when applied in active filtration settings is unknown. In this research, wool capacity experiments were designed using a plug flow reactor and air cleaner unit to explore the capacity of wool to remove formaldehyde given different active filtration designs. Using the measured wool capacity, filter life and annual costs were modeled in a typical 50 m₃ room for a variety of theoretical filter operation lengths, air exchange rates, and source concentrations. For each case, annual filtration costs were compared to the monetary benefits derived from wool resale and from the reduction in cancer rates for different population types using the DALYs human exposure metric. Wool filtration was observed to drop formaldehyde concentrations between 60-80%, although the effective wool removal capacity was highly dependent on the fluid mechanics of the filtration unit. The air cleaner setup yielded approximately six times greater capacity than the small-scale PFR designed to mimic active filtration (670 [mu]g versus 110 [mu]g HCHO removed per g of wool, respectively). The outcomes of these experiments suggest that kinematic variations resulting from different wool packing densities, air flow rates, and degree of mixing in the units influence the filtration efficiency and effective capacity of wool. The results of the cost--benefit analysis show that for the higher wool capacity conditions, cost-effectiveness is achieved by the majority of room cases when sensitive populations like children and infants are present. However, for the average population scenarios, filtration was rarely worthwhile, showing that adults benefit less from reductions in chronic formaldehyde exposure. These results suggest that implementation of active filtration would be the most beneficial and cost-effective in settings like schools, nurseries, and hospitals that have a high percentage of sensitive populations. / text

The purpose of this study is to investigate methods for assessing the value people place on preserving our natural environments and resources. It focuses on the contingent valuation method, which is a method for directly asking people about their preferences. In particular, the study focuses on the use of discrete response data in contingent valuation experiments.The first part of the study explores the economic theory of the total value of a natural resource, where the principal components of total value are analyzed; use values and non-use values. Our application is a study of the value Swedes' attach to the preservation of eleven forest areas that contain high recreational values and contain unique environmental qualities. Six forests were selected on the basis of an official investigation which includes virgin forests and other areas with unique environmental qualities. In addition, five virgin forests were selected.Two types of valuation questions are analyzed, the continuous and the discrete. The first type of question asks directly about willingness to pay, while the second type suggests a price that the respondent may reject or accept. The results of the continuous question suggest an average willingness to pay of about 1,000 SEK per household for preservation of the areas. Further analysis of the data suggests that this value depends on severi characteristics of the respondent: such as the respondent's income and whether or not the respondent is an altruist.Two econometric approaches are used to analyze the discrete responses; a flexible parametric approach and a non-parametric approach. In addition, a Bayesian approach is described. It is shown that the results of a contingent valuation experiment may depend to some extent on the choice of the probability model. A re-sampling approach and a Monte-Carlo approach is used to shed light on the design of a contingent valuation experiment with discrete responses. The econometric analysis ends with an analysis of the often observed disparity between discrete and continuous valuation questions.A cost-benefit analysis is performed in the final chapter. The purpose of this analysis is to illustrate how the contingent valuation approach may be combined with opportunity cost data to improve the decision-basis in the environmental policy domain. This analysis does not give strong support for a cutting alternative. Finally, the results of this investigation are compared with evidence from other studies.The main conclusion of this study is that assessment of peoples' sentiments towards changes of our natural environments and resources can be a useful supplement to decisions about the proper husbandry of our natural environments and resources. It also highlights the importance of careful statistical analysis of data gained from contingent valuation experiments. / digitalisering@umu

The Water Framework Directive (WFD) has the stated objective of delivering good status (GS) for Europe’s surface waters and groundwaters. But meeting GS is cost dependent, and in some water bodies pollution abatement costs may be high or judged as disproportionate. The definition and assessment of disproportionate costs is central for the justification of time-frame derogations and/or lowering the environmental objectives (standards) for compliance at a water body. European official guidance is discretionary about the interpretation of disproportionate costs which consequently can be interpreted and applied differently across Member States. The aim of this research is to clarify the definition of disproportionality and to convey a consistent interpretation that is fully compliant with the economic requirements of the Directive, whilst also being mindful of the principles of pollution control and welfare economics theory. On this basis, standard-setting derogations should aim to reach socially optimal decisions and be judged with reference to a combination of explicit cost and benefit curves – an application of Cost-Benefits Analysis - and financial affordability tests. Arguably, these tools should be more influential in the development of derogation decisions across member states, including Scotland. The WFD is expected to have extensive effects on Scottish agriculture, which is faced with the challenge of maintaining its competitiveness, while protecting water resources. Focusing the analysis on the socio-economic impacts of achieving water diffuse pollution targets for the sector, a series of independent tests for the assessment of disproportionate costs are proposed and evaluated. These are: i) development of abatement cost curves for agricultural Phosphorus (P) mitigation options for different farm systems; ii) a financial characterisation of farming in Scotland and impact on profits of achieving different P loads reductions at farm level are investigated in order to explore issues on "affordability" and "ability to pay" by the sector; and iii) an investigation of benefits assessment using discrete choice modelling to explore public preferences for pollution control and measure non-market benefits of WFD water quality improvements in Scotland. Results from these tests provide benchmarks for the definition of disproportionate costs and are relevant to other aspects of the economic analysis of water use in Scotland. This study helps to clarify the nature of agricultural water use and how it leads to social tradeoffs with other non agricultural users. Ultimately, this perspective adds to the debate of how and where water is best employed to maximize its value to society.

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This thesis contains five papers studying the economic efficiency and political acceptability of road pricing policies and transport investments in distorted economies. Interactions between the transport market and other distorted markets, such as the labor market, can have a large impact on the welfare effect of a road pricing policy or a transport investment. Many road pricing studies therefore try to incorporate effects from other distorted markets in the analysis. Paper I analyzes how the economic efficiency of a road toll in a distorted economy depends on assumptions about the initial tax system. In the road pricing literature, the welfare effect of a road toll is often found to depend on revenue use. Using a simple general equilibrium model paper I shows that the relative efficiency of marginal revenue recycling policies depends more on assumptions regarding inefficiencies in the initial tax system than on the road toll per se. Paper II studies the effect on welfare, equity and labor supply from a road toll in a commuting population with heterogeneous value of time and endogenous labor supply. When explicitly taking into account that commuters have different value of time, the road toll can increase total labor supply even when the revenues are not recycled back to the commuters. The analysis stresses the importance of recognizing traveler heterogeneity when analyzing congestion pricing. Road pricing policies are often characterized by conflicting interests between different stakeholders and different geographical areas. Papers III and IV study the economic efficiency and political acceptability of pricing and investment policies in different institutional and geographical settings. The main contribution of the papers is to explain how political constraints can lead to inefficient tolling strategies. The papers contribute to the existing literature on political acceptability of road pricing by analyzing the conflict and potential trade-off between political acceptability and economic efficiency. A difficulty when assessing the welfare effect of a future transport policy is also that many factors and parameters needed for the analysis are uncertain. Paper V studies the climate benefit of an investment in high speed rail by calculating the magnitude of annual traffic emission reduction required to compensate for the annualized embedded emissions from the construction of the line. The paper finds that to be able to balance the annualized emissions from the construction, traffic volumes of more than 10 million annual one-way trips are usually required, and most of the traffic diverted from other transport modes must come from aviation. / <p>QC 20121010</p>

Diploma thesis is focused on data evaluation of economic efficiency of provisions for impoving of water quality in Macha's lake. Data estimation of economic value of chase in water quality in Macha's lake were acquired during on-site research in the area. Choice Experiment was used for modelling of recreational demand. The base of Choice Experiment is coming out from Lancaster's Attribution theory and Random utility function. Data presentation and its acquiring is a part of the diploma thesis, there is also discussed the new findings and the base of neoclassical methodology of Cost-Benefit Analysis that is suitable for judging of economic efficiency of provisions that help improving water quality in The Macha's lake. Macha's lake is a signifiant recreational area. While deciding about long term solution of the problem of water quality it is necessary to judge efficiency of invested ressources. Estimations of changes in water quality in Macha's lake is going to be used for Cost-Benefit Analysis. Cost-Benefit Analysis is based on measuring costs and benefits and their comparisons and this Analysis is main scope of the thesis.

The policy of investment incentives is applied in majority of countries all over the world. This popularity is in contradiction with rare academic analyses of this phenomenon and those few existing are not reflected by the actual policy. This work intends to partially fill the first gap and is devoted to estimation of fiscal impact of the policy and also its effects on employment. It contains a proposal of cost-benefit calculation and its application in Czech Republic. The necessary condition for any application of this method, one needs to assess causal impact of such policy on investment and also indirect effects in the labour market. Comparison of investment behavior of supported firms and firms from control group (chosen by matching estimator) shows that the extra investment generated (or maybe only accelerated) was at most 30% of contracted amounts. Indirect effects in labour market are estimated via dynamic model of employment using Heckman's treatment of selection. Inquireies show that linkage effects dominate the crowding out effects, signalling that domestic firms on average benefit from the presence of their foreign conterparts. Turning to supported vs. nonsupported firms, this effect diminishes. For estimation of various scenarios of fiscal and employment effects I use results from econometric estimates of this work as well as the other works from Czech environment. The unitary fiscal cost of one job created is several hundred tousand CZK and therefore the net cost has to be confronted with other potencial benefits of policy. With respect to fact that majority of firms resides and operates in Czech Republic prior the incentive award, technological transfer or other positive effects do not find much support in my findings. This indicates that the arguments for the provision of this policy in Czech economy are not valid (any more).

I Östergötlands län fyller Östgötatrafiken en viktig samhällsroll som ansvariga för kollektivtrafiken. I länet sker över 30 miljoner resor årligen med Östgötatrafikens buss- och pendeltågstrafik. I Sverige och internationellt har det tidigare genomförts försök med nolltaxa i kollektivtrafiken, bland annat för att få fler att resa kollektivt, för att minska utsläpp och uppnå tidsbesparingar. Syftet med uppsatsen är att genomföra en samhällsekonomisk lönsamhetskalkyl för nolltaxa i kollektivtrafiken i Östergötland. Lönsamhetskalkyler bygger på välfärdsteori, där målet är att undersöka om ett projekt ökar välfärden för att slutligen användas som underlag till beslutsfattare. Arbetets lönsamhetskalkyl visar att nyttorna för samhället i första hand består av värdet av ökade resor och tidsbesparingar. Utsläpp från koldioxid och andra emissioner minskar även då fler börjar resa kollektivt. Kostnaderna i kalkylen utgörs främst av en ökad resursåtgång för att möta ett ökat resande. Totalt är nettonuvärdet negativt med cirka 0,5 miljoner kronor, vilket indikerar att projektet inte är lönsamt för samhället. Eventuellt är nettonuvärdet mer negativt beroende på om en omdiskuterad snedvridningseffekt även inkluderas i beräkningen. Vidare är nettonuvärdet avhängigt ett antagande om viss beläggningsgrad i busstrafiken under högtrafik, varför vidare undersökning kring den faktiska beläggningsgraden är av intresse.