6,557 research outputs found

    Environmental policy competition and differential tax treatment; a case for tighter coordination?

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    The Kyoto Protocol binds the level of greenhouse gas emissions in participating countries. It does not, however, dictate how the countries are to achieve this level. The economic costs of reaching emission targets are generally evaluated to be low. For example, evaluations with applied general-equilibrium models estimate the costs to be in the range of 0.2% to 0.5% of GDP, when international trade in emissions rights among governments is allowed for. We argue that important costs are overlooked since governments have an incentive to choose highly distorting tax schemes. This paper shows that governments generally choose different energy tax rates for households and for internationally operating firms as the result of tax competition or pollution competition: in the first case, governments try to undercut other governments to attract firms to their country, whereas in the second, they try to push dirty industries across the border. In both cases, the incentive for firms and households to use or save energy is different at the margin. Both cases call for coordination of climate change policies that goes beyond a binding ceiling on greenhouse gas emissions and international trade in permit rights among governments alone.

    Is the American model Miss World? Choosing between the Anglo-Saxon model and a European-style alternative

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    In Lisbon, the European Union has set itself the goal to become the most competitive economy in the world in 2010 without harming social cohesion and the environment. The motivation for introducing this target is the substantially higher GDP per capita of US citizens. The difference in income is mainly a difference in the number of hours worked per employee. In terms of productivity per hour and employment per inhabitant, several European countries score equally well or even better than the United States, while at the same time they outperform the United States with a more equal distribution of income. The European social models are at least as interesting as the US model that is often considered a role model. In an empirical analysis for OECD countries, we aim to unravel 'the secret of success'. Our regression results show that income redistribution (through a social security system) does not necessarily lead to lower participation and higher unemployment, provided that countries supplement it with active labour market policies. Especially, spending on employment services like job-search assistance and vocational guidance, seems effective. Furthermore, the results suggest that generous unemployment benefits of short duration contribute to employment without widening the income distribution.

    Regional gray matter correlates of vocational interests.

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    BackgroundPrevious studies have identified brain areas related to cognitive abilities and personality, respectively. In this exploratory study, we extend the application of modern neuroimaging techniques to another area of individual differences, vocational interests, and relate the results to an earlier study of cognitive abilities salient for vocations.FindingsFirst, we examined the psychometric relationships between vocational interests and abilities in a large sample. The primary relationships between those domains were between Investigative (scientific) interests and general intelligence and between Realistic ("blue-collar") interests and spatial ability. Then, using MRI and voxel-based morphometry, we investigated the relationships between regional gray matter volume and vocational interests. Specific clusters of gray matter were found to be correlated with Investigative and Realistic interests. Overlap analyses indicated some common brain areas between the correlates of Investigative interests and general intelligence and between the correlates of Realistic interests and spatial ability.ConclusionsTwo of six vocational-interest scales show substantial relationships with regional gray matter volume. The overlap between the brain correlates of these scales and cognitive-ability factors suggest there are relationships between individual differences in brain structure and vocations

    Change in Working Length at Different Stages of Instrumentation as a Function of Canal Curvature

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    The aim of this study was to determine the change in working length (∆WL) before and after coronal flaring and after complete rotary instrumentation as a function of canal curvature. One mesiobuccal or mesiolingual canal from each of 43 extracted molars had coronal standardization and access performed. Once the access was completed, canal preparation was accomplished using Gates Glidden drills for coronal flaring and EndoSequence files for rotary instrumentation. WLs were obtained at 3 time points: pre-instrumentation (unflared), mid-instrumentation (flared) and post-instrumentation (concluded). Measurements were made via direct visualization (DV) and the CanalPro apex locator (EM) in triplicate by a single operator with blinding within the time points. Root curvature was measured using Schneider’s technique. The change in working length was assessed using repeated-measures ANCOVA. The direct visualization measurements were statistically larger than the electronic measurements (paired t-test difference = 0.20 mm, SE = 0.037, P \u3c .0001), although a difference this large may not be clinically important. Overall, a greater change in working length was observed in straight canals than in curved canals, and this trend was more pronounced when measured electronically than via direct visualization, especially in the unflared-concluded time points compared with unflared-flared time points. A greater change in working length was also observed in longer canals than in shorter canals.https://scholarscompass.vcu.edu/gradposters/1032/thumbnail.jp

    Peptide-enhanced mRNA transfection in cultured mouse cardiac fibroblasts and direct reprogramming towards cardiomyocyte-like cells.

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    The treatment of myocardial infarction is a major challenge in medicine due to the inability of heart tissue to regenerate. Direct reprogramming of endogenous cardiac fibroblasts into functional cardiomyocytes via the delivery of transcription factor mRNAs has the potential to regenerate cardiac tissue and to treat heart failure. Even though mRNA delivery to cardiac fibroblasts has the therapeutic potential, mRNA transfection in cardiac fibroblasts has been challenging. Herein, we develop an efficient mRNA transfection in cultured mouse cardiac fibroblasts via a polyarginine-fused heart-targeting peptide and lipofectamine complex, termed C-Lipo and demonstrate the partial direct reprogramming of cardiac fibroblasts towards cardiomyocyte cells. C-Lipo enabled the mRNA-induced direct cardiac reprogramming due to its efficient transfection with low toxicity, which allowed for multiple transfections of Gata4, Mef2c, and Tbx5 (GMT) mRNAs for a period of 2 weeks. The induced cardiomyocyte-like cells had α-MHC promoter-driven GFP expression and striated cardiac muscle structure from α-actinin immunohistochemistry. GMT mRNA transfection of cultured mouse cardiac fibroblasts via C-Lipo significantly increased expression of the cardiomyocyte marker genes, Actc1, Actn2, Gja1, Hand2, and Tnnt2, after 2 weeks of transfection. Moreover, this study provides the first direct evidence that the stoichiometry of the GMT reprogramming factors influence the expression of cardiomyocyte marker genes. Our results demonstrate that mRNA delivery is a potential approach for cardiomyocyte generation
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