Tradable Permits

Tradable Permits – a Market-Based Allocation System for the Environment. Tradable Permits and Other Environmental Policy Instruments – Killing one Bird with two Stones. Tradable Permits – Ten Key Design Issues. Tradable Permits with Imperfect Monitoring. Emissions Trading with Greenhouse Gases in the European Union.Umweltzertifikat, Umweltökonomik, Immissionsschutz, Umweltpolitik, Klimaschutz, EU-Umweltpolitik, Wirtschaftspolitische Wirkungsanalyse, EU-Staaten, Vereinigte Staaten, Environmental economics, Emission control, Environmental policy, Climate protection, EU environmental policy, Economic policy analysis, EU countries, United States

A Bottom-up Approach to Environmental Cost-Benefit Analysis

Cost-Benefit Analysis is a method to assess the effects of policies and projects on social welfare. CBAs are usually applied in a top-down approach, in the sense that a decision-making body first decides on which policies or projects are to be considered, and then applies a set of uniform criteria to identifying and valuing relevant cost and benefit flows. This paper investigates the possible advantages, prerequisites and limitations of applying CBA in what may be considered an alternative, “bottom-up” manner. Instead of starting out with a pre-defined policy option, the suggested approach begins with the underlying environmental problem, and then assesses costs and benefits of strategies and solutions as identified by local and directly affected stakeholders. For empirical case studies concerning two river catchments in Sweden and Latvia, the bottom-up CBA approach utilises local knowledge, assesses plans which are not only developed for local conditions but are also likely to be more acceptable to local society, and sheds additional light on possible distributional effects. By not only benefitting from, but also supporting participatory environmental planning, bottom-up CBA is in line with the growing trend of embedding stakeholder participation within environmental policy and decision-making

A bottom-up approach to environmental cost-benefit analysis

Cost-Benefit Analysis is a method to assess the effects of policies and projects on social welfare. CBAs are usually applied in a top-down approach, in the sense that a decision-making body first decides on which policies or projects are to be considered, and then applies a set of uniform criteria to identifying and valuing relevant cost and benefit flows. This paper investigates the possible advantages, prerequisites and limitations of applying CBA in what may be considered an alternative, “bottom-up” manner. Instead of starting out with a pre-defined policy option, the suggested approach begins with the underlying environmental problem, and then assesses costs and benefits of strategies and solutions as identified by local and directly affected stakeholders. For empirical case studies concerning two river catchments in Sweden and Latvia, the bottom-up CBA approach utilises local knowledge, assesses plans which are not only developed for local conditions but are also likely to be more acceptable to local society, and sheds additional light on possible distributional effects. By not only benefitting from, but also supporting participatory environmental planning, bottom-up CBA is in line with the growing trend of embedding stakeholder participation within environmental policy and decision-making

Predicting the Long-Term Effects of Cardiac Resynchronization Therapy on Mortality From Baseline Variables and the Early Response A Report From the CARE-HF (Cardiac Resynchronization in Heart Failure) Trial

ObjectivesThis study was designed to investigate whether selected baseline variables and early response markers predict the effects of cardiac resynchronization therapy (CRT) on long-term mortality.BackgroundCardiac resynchronization therapy reduces long-term morbidity and mortality in patients with moderate or severe heart failure and markers of cardiac dyssynchrony, but not all patients respond to a similar extent.MethodsIn the CARE-HF (Cardiac Resynchronization in Heart Failure) study, 813 patients with heart failure and markers of cardiac dyssynchrony were randomly assigned to receive or not receive CRT in addition to pharmacological treatment and were followed for a median of 37.6 months. A model including assigned treatment, 15 pre-specified baseline variables, and 8 markers of response at 3 months was constructed to predict all-cause mortality.ResultsOn multivariable analysis, plasma concentration of amino terminal pro–brain natriuretic peptide (univariate and multivariable model chi-square test: 105.0 and 48.4; both p < 0.0001) and severity of mitral regurgitation (chi-square test: 44.0 and 17.9; both p < 0.0001) at 3 months, regardless of assigned treatment, were the strongest predictors of mortality. Ischemic heart disease as the cause of ventricular dysfunction (chi-square test: 34.9 and 7.4; p < 0.0001 and p = 0.0066), being in New York Heart Association functional class IV (chi-square test: 18.8 and 9.6; p < 0.0001 and p = 0.0020), or having less interventricular mechanical delay (chi-square test: 29.8 and 8.8; p < 0.0001 and p = 0.0029) at baseline all predicted a worse outcome. However, the reduction in mortality in patients assigned to CRT was similar before (hazard ratio: 0.602; 95% confidence interval: 0.468 to 0.774) and after (hazard ratio: 0.679; 95% confidence interval: 0.494 to 0.914) adjustment for variables measured at baseline and at 3 months.ConclusionsPatients who have more severe mitral regurgitation or persistently elevated amino terminal pro–brain natriuretic peptide despite treatment for heart failure, including CRT, have a higher mortality. However, patients assigned to CRT had a lower mortality even after adjusting for variables measured before and 3 months after intervention. The effect of CRT on mortality cannot be usefully predicted using such information. (CARE-HF CArdiac Resynchronization in Heart Failure; NCT00170300

Strategy without a Strategiser

The key claims of left accelerationism are grounded upon a network of concepts. Crucial here have been the notions of hegemony (the genesis of which exists within the work of Antonio Gramsci); strategy (a notably polyvalent concept); and rationality (which has strong roots in the contemporary analytic tradition but which has been widely critiqued within the Continental one). Though the concepts of hegemony–strategy and strategy–rationality have received wide treatment, the hegemony and rationality pair has received minimal attention. Yet to render the core arguments of left accelerationism explicable requires that these three ideas are placed in some concrete relation. To put the issue another way: what is the relationship between power (hegemony) and rationality? This article will argue that many of the critiques which the left accelerationist position has received are bound up in misunderstanding this relationship. To remedy such misnomers, we will argue that it is a more sophisticated understanding of strategy that can help bridge these two domains. This leads us to delineate a form of strategy-without-a-strategiser, a distributed and emergent strategic orientation which mediates the power/rationality binary

Toward a unifying framework for evolutionary processes

The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework. The framework we present here decomposes the evolutionary process into its several components in order to facilitate the identification of similarities between different models. In particular, we propose a classification of evolutionary operators based on the defining properties of the different components. We cast several commonly used operators from both fields into this common framework. Using this, we map different evolutionary and genetic algorithms to different evolutionary regimes and identify candidates with the most potential for the translation of results between the fields. This provides a unified description of evolutionary processes and represents a stepping stone towards new tools and results to both fields

Catching Element Formation In The Act

Gamma-ray astronomy explores the most energetic photons in nature to address some of the most pressing puzzles in contemporary astrophysics. It encompasses a wide range of objects and phenomena: stars, supernovae, novae, neutron stars, stellar-mass black holes, nucleosynthesis, the interstellar medium, cosmic rays and relativistic-particle acceleration, and the evolution of galaxies. MeV gamma-rays provide a unique probe of nuclear processes in astronomy, directly measuring radioactive decay, nuclear de-excitation, and positron annihilation. The substantial information carried by gamma-ray photons allows us to see deeper into these objects, the bulk of the power is often emitted at gamma-ray energies, and radioactivity provides a natural physical clock that adds unique information. New science will be driven by time-domain population studies at gamma-ray energies. This science is enabled by next-generation gamma-ray instruments with one to two orders of magnitude better sensitivity, larger sky coverage, and faster cadence than all previous gamma-ray instruments. This transformative capability permits: (a) the accurate identification of the gamma-ray emitting objects and correlations with observations taken at other wavelengths and with other messengers; (b) construction of new gamma-ray maps of the Milky Way and other nearby galaxies where extended regions are distinguished from point sources; and (c) considerable serendipitous science of scarce events -- nearby neutron star mergers, for example. Advances in technology push the performance of new gamma-ray instruments to address a wide set of astrophysical questions.Comment: 14 pages including 3 figure

Ten-year all-cause death following percutaneous or surgical revascularization in patients with prior cerebrovascular disease: insights from the SYNTAX Extended Survival study

Background: Coronary bypass artery grafting (CABG) has a higher procedural risk of stroke than percutaneous coronary intervention (PCI), but may offer better long-term survival. The optimal revascularization strategy for patients with prior cerebrova