This thesis' aim is to describe and assess employment opportunities of people with a criminal record. The theoretical part deals with the phenomenon of unemployment in general. The social and psychological aspects of the unemployment are described, as well as the possible impact of unemployment on society. Individual tools of social politics, which may be used to deal with unemployment, are discussed. The next part focuses on legislative features of the institution of Criminal record and on legislation that regulates the relationships between employers and employees. The practical part contains an analysis of job advertisements offering positions suitable for people with a criminal record. In the next chapter my aim was to analyse the situation of people released from prison; and to present opportunities for their support. The work of probation officers from municipal offices is described in detail. The thesis contains three case studies of people with a criminal record looking for a job. In the last chapter, organizations providing help and support for people with a criminal record during job searching are presented. Next chapter focuses on the international experiences with employing people with a criminal record. Key words Criminal record Unemployment Unemployment benefit Social benefit...

Sustainable consumption and reducing food waste have become critical issues in recent years as the world faces environmental and humanitarian challenges. This study aims to identify the perspectives of various actors (social workers, representatives from local organizations, and an individual) on social work interventions towards food waste reduction in Gävle Sweden, and their potential benefits to the environment and vulnerable individuals. A qualitative study through semi-structured interviews of five participants was conducted by the researchers, to identify the perspectives of actors in social work intervention programs related to sustainable consumption and food waste reduction. The result of the interview was transcribed and analyzed using the Atlas. Tue 23. The study identified awareness and campaigns, collaborations with local businesses and organizations with regard to food banks and donations, and food recovery and redistribution programs as social work interventions on sustainable consumption through food waste reduction. The social work interventions identified the positive impacts they have on the environment and vulnerable individuals.

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.

Defined Benefit (DB) state pension trust funds are an integral component of state finances and play a major role in the country’s labor and capital markets. The last decade though has seen a substantial growth in unfunded pension obligations and a seeming inability by states to make the contributions needed to cover funding shortfalls. When coupled with even larger unfunded retirement health benefits, the looming threat of insolvent state retirement systems pose both current and long-term fiscal challenges to state governments already struggling with the ongoing economic downturn and billions of dollars in budget deficits. The convergence of these factors have led states to undertake various reform strategies in an attempt to move their respective public pension plans towards a more sustainable funding path. Using an asset-liability framework to describe the DB plan funding structure and process, this dissertation advances the discussion over major pension reform efforts currently implemented or considered by states. I show analytically the link between various pension reform categories and specific DB plan funding components, and how this in turn, affects DB plan funding outcomes. From this analytical framework, I derive the study’s hypotheses on the relationship between DB plan reform-linked funding components and outcomes of interest. This study looks at three DB-plan reform-linked funding components: (1) plan member employee contributions, (2) plan employer contributions, and (3) retirement benefit payments. Four major funding outcomes are evaluated: (1) the employer contribution rate, (2) flow funding ratio, and (3) stock funding ratio, and (4) relative size of plan unfunded liability. Utilizing a unique panel dataset of 100 DB state retirement systems from 50 states covering a nine-year period of FY 2002 to 2010, I empirically test the following hypothesized funding relationships: (1) States as DB plan sponsors have underfunded their plans as indicated by their failure to meet annual employer funding requirements; and (2) Increasing the employee and employer contribution rate and reducing the cost of retirement benefits are associated with higher plan stock funding ratios and lower unfunded pension liabilities. Results from my fixed-effects (FE) panel regression analyses provide the clearest empirical evidence to date that state DB pension plan sponsors underfunded their required annual employer contributions. The financial condition of a state’s budget is also shown to have a significant effect on the amount states are able to contribute into their pension funds. I find empirical support for the crucial function of employer contributions in determining the overall funded status of state pension plans. This finding is further reinforced when I estimate plan stock funding ratios using a dynamic system GMM (sGMM) panel regression model. The results from static FE and dynamic sGMM models suggest no significant effect on overall plan funding levels from changes in the employee contribution rate or the average retirement benefit cost. Lastly, the results lend evidence to the significant influence of past funding levels on current funding levels. It is recommended that future empirical research account for the dynamic nature of public pension funding and related endogeneity issues. This dissertation concludes by discussing the implications of the empirical findings for policy makers seeking to improve the funded status of their respective state DB retirement systems.

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

<p>I den här uppsatsen undersöks och utvärderas metoder för att beräkna indirekta socioekonomiska effekter till följd av transportinvesteringar. De projekt som ligger till grund för denna jämförelse finns på gemensam europeisk samt på nationell nivå. Projekten har använt sig antingen av kvantitativ analys, i form av multikriterieanalys alternativt cost-benefit analys, eller av kvalitativ analys, för att utvärdera effekterna. Slutsatserna består i att det är svårt att beräkna dessa effekter och att det därför är viktigt att metoden speglar den underliggande informationen. En verbal metod som speglar osäkerheten är ofta att föredra framför en metod som presenterar exakta monetära mått trots att den underliggande informationen är osäker.</p>

<p>Denna uppsatts ämnar ge bättre förståelse för företagsstrategier som kan, och har blivit be-visade, strida mot konkurrenslagarna i USA samt Europa. Konkurrenslagarna har skapats för att upprätthålla perfekt konkurrens på marknaden. Konsumentnytta står ofta i fokus när vi ska definiera den perfekta marknadsplatsen. Vi kommer att se hur perfekt konkur-rens är skapad och sedan krossat med fusioner, kombinationsförsäljning och försök att bygga monopolistiskt övertag. För att vinna marknadsandelar och differentiera från kon-kurrenter på marknaden använder sig företag av olika strategier. Här kommer vi att se kvantitetsättade strategier samt produktbindande strategier.</p><p>Denna studie fokuserar på Microsoft fallet där vi får följa företaget genom rättsprocesserna i USA och Europadomstolen, där företaget har använt sig av tekniska inställningar för att tvinga konsumenter fortsätta använda deras produkter. Microsoft har större delen av marknaden för persondatorer och har bevisligen utnyttjat sin monopolistiska position på marknaden för att exkludera konkurrenter från marknaden. Många ekonomer har påstått att Shermanakten är tillräckligt utförlig för att döma alla konkurrensfall, medan andra påstår att man inte kan applicera konkurrenslagarna vid Microsoft fallet då nätverkseffekter skapar en odefinierbar marknad.</p><p>Utmaningen visar sig vara att jämföra värdet och standardiseringsfördelarna med skadan mot marknadskonkurrenter. De nuvarande konkurrenslagarna förutsätter, i de flesta avse-enden, att det är fler än en aktör som tillsammans agerar för att bestämma prissättningen på marknaden. Det har därför varit svårt att se hur Microsoft skulle kunna bryta mot dessa la-gar som en ensam aktör. Konkurrenslagarna är skapade för kunders nytta, och det finns inga bevis att Microsoft hämmar detta, tvärtom har Microsoft bara främjat konsumentnyt-tan.</p>

Prior to the establishment of Aid to Dependent Children in 1935, states offered cash assistance to single mothers and their children through locally administered programs known as mothers' pensions. Since the first mothers' pension law was passed in 1911, the rank-ordering of states' generosity has been remarkably stable, shifting only after welfare reform in 1996. Prior research has neither documented nor explained this remarkable path dependence. In this dissertation, I argue that states' racial and ethnic composition and their state capacity, as measured in the 1930s before the federalization of cash assistance to single mothers, set states on particular trajectories. To see how this operated in practice, I conducted a case study of benefit levels in Massachusetts from 1913 to 1996. I found that a constellation of factors at the beginning of mothers' pensions--the lack of a legislated maximum benefit level, state involvement in funding, and a competent professional bureaucracy--set Massachusetts on a trajectory toward being a generous state. The early years of Aid of Dependent Children reinforced this trajectory, as benefit levels were consistently raised due to cost-of-living increases. Things began to change in the 1960s, however, as the caseload grew, the state experienced a fiscal crisis, and welfare rights activists campaigned for higher benefit levels. Welfare rights activism generated a backlash that resulted in a lack of public support for adequate benefit levels. Benefit levels declined until the early 1980s, when a strong economy, savvy advocates, and sympathetic elected officials combined to increase benefit levels. The early 1990s recession, which began in 1988 in Massachusetts, instigated another decrease in benefit levels. Ultimately, the case study showed that states may appear to have solid trajectories, but these trajectories are contested. Both raising and lowering benefit levels came up in the Massachusetts Legislature many times, and a fundamental change in Massachusetts' state capacity, such as permanently reduced fiscal resources, could have sent Massachusetts down a different path.

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