992 research outputs found
"green stimulus,"economic recovery, and long-term sustainable development
This paper discusses short-run and long-run effects of"green stimulus"efforts, and compares these effects with"non-green"fiscal stimuli. Green stimulus is defined here as short-run fiscal stimuli that also serve a"green"or environmental purpose in a situation of"crisis"characterized by temporary under-employment. A number of recently enacted national stimulus packages contain sizeable"green"components. The authors categorize effects according to their a) short-run employment effects, b) long-run growth effects, c) effects on carbon emissions, and d)"co-benefit"effects (on the environment, natural resources, and for other externalities). The most beneficial"green"programs in times of crisis are those that can stimulate employment in the short run, and lead to large"learning curve"effects via lower production costs in the longer term. The overall assessment is that most"green stimulus"programs that have large short-run employment and environmental effects are likely to have less significant positive effects for long-run growth, and vice versa, implying a trade-off in many cases between short-run and long-run impacts. There are also trade-offs for employment generation in that programs that yield larger (smaller) employment effects tend to lead to more employment gains for largely lower-skilled (higher-skilled) workers, so that the long-term growth effects are relatively small (large). Ultimately, the results reinforce the point that different instruments are needed for addressing different problems.Environmental Economics&Policies,Energy Production and Transportation,Climate Change Mitigation and Green House Gases,Climate Change Economics,Transport Economics Policy&Planning
Fiscal implications of climate change
This paper provides a primer on the fiscal implications of climate change, in particular the policies for responding to it. Many of the complicated challenges that arise in limiting climate change (through greenhouse gas emissions mitigation), and in dealing with the effects that remain (through adaptation to climate change impacts), are of a fiscal nature. While mitigation has the potential to raise substantial public revenue (through charges on greenhouse gas emissions), adaptation largely leads to fiscal outlays. Policies may unduly favor public spending (on technological solutions to limit emissions, and on adaptation), over policies that lead to more public revenue being raised (emissions charges). The pervasive uncertainties that surround climate change make the design of proper policy responses even more complex. This applies especially to policies for mitigation of emissions, since agreement on and international enforcement of cooperative abatement policies are exceedingly difficult to achieve, and there is as yet no common view on how to compare nearer-term costs of mitigation to longer-term benefits.Climate Change Mitigation and Green House Gases,Climate Change Economics,Carbon Policy and Trading,Energy Production and Transportation,Environment and Energy Efficiency
Examining well-being among college students with Attention-Deficit/Hyperactivity Disorder (ADHD) and co-morbid diagnoses: An integrative approach to understanding mental health
Deficit and dysfunction in college students with ADHD diagnoses are now well studied and known to be commonplace in clinical psychology research literature (see Green & Rabiner, 2014, for review). However, areas of positive functioning and psychological well-being have not been well examined. This dissertation aims to investigate the extent to aspects of well-being may be more or less developed among college students carrying a diagnosis of ADHD, in comparison to their college peers. This examination utilized a subset of data collected from annual national “Healthy Minds” survey of college student mental health in the United States (Eisenberg, D., Hunt, J.B., Speer, N., 2013). In total, well-being profiles were examined across 4 distinct groups: 1) students reporting ADHD diagnosis with no co-morbid psychiatric diagnoses, 2) students reporting ADHD diagnosis in addition to co-morbid diagnoses of an anxiety and/or depressive disorder, 3) students reporting an anxiety and/or depressive disorder without ADHD diagnosis, and 4) a comparison group of peers who indicate no history of psychiatric diagnosis. Overall, results suggest ADHD diagnosis alone was not associated with any significant reduction in well-being, and observed deficits may be best accounted for by co-morbid emotional disorder diagnosis. Students indicating diagnoses of anxiety and/or depression were more likely to experience reduced well-being in comparison to their peers across a variety of domains. Implications of these results are discussed further, particularly in regard to understanding well-being among individuals with mental health disorder diagnoses
Polydnaviruses: From discovery to current insights
AbstractThe International Committee on Taxonomy of Viruses (ICTV) recognized the Polydnaviridae in 1991 as a virus family associated with insects called parasitoid wasps. Polydnaviruses (PDVs) have historically received limited attention but advances in recent years have elevated interest because their unusual biology sheds interesting light on the question of what viruses are and how they function. Here, we present a succinct history of the PDV literature. We begin with the findings that first led ICTV to recognize the Polydnaviridae. We then discuss what subsequent studies revealed and how these findings have shaped views of PDV evolution
The distribution of the cokernel of a polynomial push-forward of a random -adic integral matrix with a fixed residue mod
Given a prime , we compute the distribution of the cokernel of a
polynomial push-forward of an Haar-random matrix over the ring
of -adic integers with a fixed residue class modulo for
every positive integer . More precisely, given an matrix
over the finite field of elements and a monic
polynomial whose image in
modulo is irreducible, we compute the distribution of the cokernel
of for an Haar-random matrix over
whose image modulo is . Surprisingly, our result
gives a closed formula for every fixed , rather than an asymptotic result
when goes to infinity. This proves infinitely many new cases of a
conjecture of Cheong, Huang, and Kaplan, which generalizes a result of Friedman
and Washington.Comment: 10 pages; a slight title change for the second versio
Fluid and gyrokinetic modelling of particle transport in plasmas with hollow density profiles
Hollow density profiles occur in connection with pellet fuelling and L to H transitions. A positive density gradient could potentially stabilize the turbulence or change the relation between convective and diffusive fluxes, thereby reducing the turbulent transport of particles towards the center, making the fuelling scheme inefficient. In the present work, the particle transport driven by ITG/TE mode turbulence in regions of hollow density profiles is studied by fluid as well as gyrokinetic simulations. The fluid model used, an extended version of the Weiland transport model, Extended Drift Wave Model (EDWM), incorporates an arbitrary number of ion species in a multi-fluid description, and an extended wavelength spectrum. The fluid model, which is fast and hence suitable for use in predictive simulations, is compared to gyrokinetic simulations using the code GENE. Typical tokamak parameters are used based on the Cyclone Base Case. Parameter scans in key plasma parameters like plasma β, R/LT , and magnetic shear are investigated. It is found that β in particular has a stabilizing effect in the negative R/Ln region, both nonlinear GENE and EDWM show a decrease in inward flux for negative R/Ln and a change of direction from inward to outward for positive R/Ln . This might have serious consequences for pellet fuelling of high β plasmas
Development, verification, and maintenance of computational software in geodynamics
Research on dynamical processes within the Earth and planets increasingly relies upon sophisticated, large-scale computational models. Improved understanding of fundamental physical processes such as mantle convection and the geodynamo, magma dynamics, crustal and lithospheric deformation, earthquake nucleation, and seismic wave propagation, are heavily dependent upon better numerical modeling. Surprisingly, the rate-limiting factor for progress in these areas is not just computing hardware, as was once the case. Rather, advances in software are not keeping pace with the recent improvements in hardware. Modeling tools in geophysics are usually developed and maintained by individual scientists, or by small groups. But it is difficult for any individual, or even a small group, to keep up with sweeping advances in computing hardware, parallel processing software, and numerical modeling methodology
Representation and Governance in International Organizations
What does representation mean when applied to international organizations? While many scholars working on normative questions related to global governance often make use of the concept of representation, few have addressed specifics of applying the concept to the rules and practices by which IOs operate. This article examines representation as a fundamental, albeit often neglected, norm of governance which, if perceived to be deficient or unfair, can interfere with other components of governance, as well as with performance of an organization’s core tasks by undermining legitimacy. We argue that the concept of representation has been neglected in the ongoing debates about good governance and democratic deficits within IOs. We aim to correct this by drawing on insights from normative political theory considerations of representation. The article then applies theoretical aspects of representation to the governance of the International Monetary Fund. We determine that subjecting IOs to this kind of conceptual scrutiny highlights important deficiencies in representational practices in global politics. Finally, our conclusion argues scholars of global governance need to address the normative and empirical implications of conceptualizing representation at the supranational level
Land cover in Norway based on an area frame survey of vegetation types
The Norwegian area frame survey of land cover and outfield land resources (AR18X18), completed in 2014, provided unbiased statistics of land cover in Norway. The article reports the new statistics, discusses implications of the data set, and provides potential value in terms of research, management, and monitoring. A gridded sampling design for 1081 primary statistical units of 0.9 km2 at 18 km intervals was implemented in the survey. The plots were mapped in situ, aided by aerial photos, and all areas were coded following a vegetation type system. The results provide new insights into the cover and distribution of vegetation and land cover types. The statistic for mire and wetlands, which previously covered 5.8%, has since been corrected to 8.9%. The survey results can be used for environmental and agricultural management, and the data can be stratified for regional analyses. The survey data can also serve as training data for remote sensing and distribution modelling. Finally, the survey data can be used to calibrate vegetation perturbations in climate change research that focuses on atmospheric–vegetation feedback. The survey documented novel land cover statistics and revealed that the national cover of wetlands had previously been underestimated.publishedVersio
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