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The climate changes have arguably been one of the main concerns during the last centuries.The largest contribution of the climate change derives from humanly created greenhouse gases.One third of the greenhouse gas emissions in Sweden comes from domestic transportation.This has led the government to set a taxation on fuels to reduce the carbon dioxide emissionsfrom transportation. The Swedish government has set a target of reducing the CO2 fromdomestic transportation by 70% of 2010th level by 2030 as a part of the long run target of zeronet emissions by 2045.This thesis aims to develop the knowledge about the relation between fuel taxation and carbonemissions from domestic car traveling in Sweden. One previous study has been conductedcovering the same problem. The previous study analyzed older data which creates theopportunity for this thesis to give updated results about the issue. This analysis is based ontime-series data from Sweden between 1990-2019. Regression models will be estimated usingordinary least squares (OLS) estimates to find the coefficient values. The results indicate anegative relationship between fuel taxation and carbon emission from cars in Sweden with a99% confidence level. An increase by the fuel tax by 1 SEK/liter would save approximately600 kilotons CO2 from domestic car traveling on a year. The value of the CO2 saved by anincrease of fuel tax by 1 SEK would be approximately 4 178 062 000 SEK. However, the resultshould not be interpreted as a recommendation for a policy. A more comprehensive analysisabout the effects of fuel taxation is needed to make decisions about whether the policy shouldbe implemented. The extended analysis should account for more ecological effects but also,economic, cultural, and social effects of the fuel tax. / Klimatkrisen är onekligen ett av de oftast debatterade problemen i modern tid. Klimatetsförändringar hotar flera arters överlevnadsmöjligheter, inte minst människan. Utsläpp avväxthusgaser är i dagsläget den största orsaken till de pågående klimatförändringarna. AvSveriges växthusgasutsläpp kommer en tredjedel från inrikestransporter. För att reduceraväxthusgaserna från inrikestransporter skattesätter staten drivmedel. Staten har en målsättningom att CO2 utsläppen från inrikestransporter ska minska med 70% av 2010 års nivå till år 2030.Detta är ett etappmål för att nå det långsiktiga målet om obefintliga nettoutsläpp avväxthusgaser år 2045.Denna studie avser att undersöka sambandet mellan drivmedelsskatten och koldioxidutsläppfrån inrikes biltransporter i Sverige. Liknande studier har genomförts tidigare, men då dessastudier analyserat äldre data kan denna studie ge en mer uppdaterad bild av problemet.Analysen bygger på tidsseriedata från Sverige mellan 1990–2019. Regressionsmodellerkommer att skattas med minsta kvadratmetoden (OLS) för att finna drivmedelsskattenssamband med koldioxidutsläppen från inrikes biltransporter. Resultatet visar att det finns ensignifikant negativ relation mellan drivmedelsskatten och koldioxidutsläpp från bilar i Sverigepå 99% konfidensnivå. En ökning av drivmedelsskatten med 1 krona per liter leder till enminskning av CO2 utsläpp från bilar med cirka 600 kiloton under ett år. Denna minskningmotsvarar ett värde av cirka 4 178 062 000 SEK. Resultatet bör dock inte tolkas som enrekommendation angående drivmedelsskatt. Vid beslutsfattande kring drivmedelsskatten bören mer omfattande analys genomföras. Den mer omfattande analysen bör innehålla flerekologiska effekter, men även ekonomiska, kulturella och sociala effekter avdrivmedelsskatten.

<p>In spite of numerous benefits that are suggested for consumers’ utilizing integrated personal health record (PHR) systems, research has shown that these systems are not yet popular or well known to consumers. Therefore, research is needed to understand what would rise adoption rates for these systems. Hence, the main objective of this dissertation is to develop and empirically validate a theoretical model for explaining consumers’ intention to use integrated PHR systems.</p> <p>In developing the theoretical model of this dissertation, theories of information systems adoption were integrated with Self-Determination Theory (SDT), which is a well established theory from the Psychology literature that explains the mechanism through which individuals become more self-determined, i.e., motivated to take more active (rather than passive) roles in undertaking different behaviours. Taking such an active role by consumers, in the context of personal health management, is suggested to be necessary for realizing the full benefits of integrated PHR systems.</p> <p>The proposed theoretical model was validated using the PLS approach to structural equation modeling, on data collected from a cross-sectional survey involving 159 participants with no prior experience in using PHR systems. A stratified random sampling was employed to draw a representative sample of the Canadian population. The results show that consumers with higher levels of self-determination in managing their health are more likely to adopt integrated PHR systems since they have more positive perceptions regarding the use of such systems. Further, such self-determination is fueled by autonomy support from consumers’ physicians as well as consumers’ personality trait of autonomy orientation.</p> <p>This study advances the theoretical understanding of integrated PHR system adoption, and it contributes to practice by providing insightful implications for designing, promotion, and facilitating the use of integrated PHR systems among consumers.</p> / Doctor of Philosophy (PhD)

In this dissertation we introduce two variable selection procedures for multivariate responses. Our procedures are based on sufficient dimension reduction concepts and are model-free. In the first procedure we consider the dual marginal coordinate hypotheses, where the role of the predictor and the response is not important. Motivated by canonical correlation analysis (CCA), we propose a CCA-based test for the dual marginal coordinate hypotheses, and devise a joint backward selection algorithm for dual model-free variable selection. The second procedure is based on ordinary least squares (OLS). We derive and study the asymptotic properties of the OLS-based test under the normality assumption of the predictors as well as an asymmetry assumption. When these assumptions are violated, the asymptotic test with elliptical trimming and clustering is still valid with desirable numerical performances. A backward selection algorithm for the predictor is also provided for the OLS-based test. The performances of the proposed tests and the variable selection procedures are evaluated through synthetic examples and a real data analysis. / Statistics