1,782 research outputs found

    Investigating the relationship between tax revenues and tax ratios : an empirical research for selected OECD countries

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    Purpose: Effective tax rates can have dual effect in the economic policy of a country by maintaining the state revenues in sustainable levels providing a safe net for the economic development. If taxation struggles the economy, there should be a turning point were the results of high tax rates do not have the expected results on the state revenue. The parabolic relation of Laffer curve is tested on a data set of different OECD countries. Design/Approach/Methodology: Three different functions have been selected to test the Laffer curve starting from the fact that the relation of revenues with taxes should have a parabolic form, with the turning point to be the peak of the parabola. Findings: The findings suggest that there exists a peak point where taxation policy is not providing the expected revenues. Results suggest that this pattern is common in several countries with different taxation regimes. The effective tax rates are different between the countries. Countries are divided into clusters with the same effective tax rates. The relation of the tax revenue and taxation rates is adjusted with the tax moral of the country. Practical Implications: The results are compared with other possible forms of the relation of revenue and taxes with considerable importance.peer-reviewe

    International stock markets : a co-integration analysis

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    This study investigates the degree of co-integration between five major European stock markets and five major non European stock markets. The results show that all five major European stock markets are co-integrated either positively or negatively, while among the five major non European the Canadian, the Japanese and the Singapore are non cointegrated with the others. The results point towards a decreasing number of common stochastic trends influencing the stock markets, i.e. the degree of co-integration between the European stock markets has been increased during the recent decade.peer-reviewe

    Knowledge based cloud FE simulation of sheet metal forming processes

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    The use of Finite Element (FE) simulation software to adequately predict the outcome of sheet metal forming processes is crucial to enhancing the efficiency and lowering the development time of such processes, whilst reducing costs involved in trial-and-error prototyping. Recent focus on the substitution of steel components with aluminum alloy alternatives in the automotive and aerospace sectors has increased the need to simulate the forming behavior of such alloys for ever more complex component geometries. However these alloys, and in particular their high strength variants, exhibit limited formability at room temperature, and high temperature manufacturing technologies have been developed to form them. Consequently, advanced constitutive models are required to reflect the associated temperature and strain rate effects. Simulating such behavior is computationally very expensive using conventional FE simulation techniques. This paper presents a novel Knowledge Based Cloud FE (KBC-FE) simulation technique that combines advanced material and friction models with conventional FE simulations in an efficient manner thus enhancing the capability of commercial simulation software packages. The application of these methods is demonstrated through two example case studies, namely: the prediction of a material's forming limit under hot stamping conditions, and the tool life prediction under multi-cycle loading conditions

    Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometry

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    Hydrogen deuterium exchange mass spectrometry (HDX-MS) is becoming increasing routine for monitoring changes in the structural dynamics of proteins. Differential HDX-MS allows comparison of protein states, such as in the absence or presence of a ligand. This can be used to attribute changes in conformation to binding events, allowing the mapping of entire conformational networks. As such, the number of necessary cross-state comparisons quickly increases as additional states are introduced to the system of study. There are currently very few software packages available that offer quick and informative comparison of HDX-MS datasets and even fewer which offer statistical analysis and advanced visualization. Following the feedback from our original software Deuteros, we present Deuteros 2.0 which has been redesigned from the ground up to fulfill a greater role in the HDX-MS analysis pipeline. Deuteros 2.0 features a repertoire of facilities for back exchange correction, data summarization, peptide-level statistical analysis and advanced data plotting features

    Sustainable transport modes, travel satisfaction, and emotions: Evidence from car-dependent compact cities

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    This study investigates how the use of sustainable transport modes relates to travel satisfaction (general evaluation of travel) and travel affect (emotions during travel) in car-dependent compact cities. Thereby, the study provides evidence on sustainable mobility and travel-related well-being in a context of compact urban form but inadequate provisions for public transport, walking, and cycling. A mixed-methods approach was applied comprising quantitative and qualitative analyses of data from the two major cities of Greece, i.e., Athens and Thessaloniki. Travel satisfaction and travel affect are found to be highest for those who walk for commuting, independently of travel time and other factors. Conversely, travel satisfaction and travel affect are lowest for public transport users, largely due to very long travel times but also poor public transport services in one of the two cities. Results indicate that the experience of traveling by public transport, car, and motorcycle within urban areas greatly depends on transport provision and policies. Overall, findings support the idea that to shift to pleasant, satisfying, and sustainable mobility in car-dependent compact cities, car restrictions should be accompanied by massive improvements in public transport, high-quality walking and cycling infrastructure, and an integrated coordination of different modes
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