196,962 research outputs found
Inequality of learning amongst immigrant children in industrialised countries
Literature examining immigrants’ educational disadvantage across countries focuses generally on average differences in educational outcomes between immigrants and natives disguising thereby that immigrants are a highly heterogeneous group. The aim of this paper is to examine educational inequalities among immigrants in eight high immigration countries: Australia, Canada, Germany, New Zealand, Sweden, Switzerland, UK and USA. Results indicate that for almost all countries immigrants’ educational dispersion is considerably higher than for natives. For most countries higher educational dispersion derives from very low achieving immigrants. Quantile regression results reveal that at lower percentiles language skills impact more on educational achievement than at the top of the achievement distribution. Results are presented separately for immigrants of different age cohorts, varying time of immigrants’ residence in the host country and subject examined (maths and reading) highlighting thereby the different patterns found by immigrant group and achievement measure
Do tertiary dropout students really not succeed in European labour markets?
Tertiary education has been expanding hugely over the last decades, so that tertiary dropout students will constitute a growing distinctive group in future labour markets. University dropout is regularly discussed as a ‘negative’ indicator in terms of reinforcing socio-economic inequalities and being a sign of university inefficiency. However, research on actual career trajectory of dropout students is virtually non-existent. Using data from the 2011 Programme for the International Assessment of Adult Competencies (PIAAC) this study first validates the uncommon self-reported measure of dropout used and compares the percentage of adults with tertiary dropout experience between EU countries. Second, we examine whether tertiary dropout is a permanent decision as a considerable part of literature assumes. In a third step, we investigate characteristics of adults with dropout experience. Finally, we estimate the effect of dropout in terms of their employment status and success of entering managerial professions comparing results of logistic regressions and propensity score matching taking individuals’ socio-economic and demographic background, work experience and cognitive skills into account.Results indicate that consistently across countries dropout is repeatedly a ‘positive’ indicator in the labour market. This is first due to the fact that the dropout decision is often not a permanent one as well as that for those adults who do not reenrol into tertiary education labour market chances are better than for equally educated adults in about half of the countries examined<br/
Impact of growth and uptake patterns of arbuscular mycorrhizal fungi on plant phosphorus uptake—a modelling study
In this paper we present a mathematical model for estimating external mycelium growth of arbuscular mycorrhizal fungi and its effect on root uptake of phosphate (P). The model describes P transport in soil and P uptake by both root and fungi on the single root scale. We investigate differences in soil P depletion and overall P influx into a mycorrhizal root by assuming that different spatial regions of mycelia are active in P uptake.When all external hyphae contribute to P uptake, overall uptake is dominated by the fungus and the most effective growth pattern appears to be the one using a high level of anastomosis. The same is true when only the proportion of external hyphae assumed to be active contributes to uptake. When uptake is restricted to the tips, hyphal contribution to overall P uptake is less dominant; the most effective growth pattern appears to be the one characterised by nonlinear branching where branching stops at a given maximal hyphal tip density. Comparison to measured P depletion in the literature suggests that the scenario where active hyphae are contributing to P uptake is likely to fit the data best. These quantitative predictions promote our understanding of the mycorrhizal symbiosis and its role in plant P nutrition
Inequality of learning in industrialised countries
Within-country differences in educational outcomes are compared for a large group of industrialised countries. We investigate where inequality is greatest, the association between inequality in learning and average levels of learning, the interpretation of measured levels of inequality, and differences in inequality at the top and bottom of the national distributions. Our analysis is based on test score data for 21 countries present in the Trends in International Mathematics and Science Study (TIMSS), the Programme for International Student Assessment (PISA), and the Progress in International Reading Literacy Study (PIRLS). The use of three different surveys avoids reliance on a single source
Gender Equality in Educational Achievement An East-West Comparison
Data on educational access show gender parity of pupils attending primary and secondary schools in transition countries. The aim of this analysis is to examine whether the gender balance in educational access translates also into gender equality in educational achievement. Besides a comparison of gender differences in mean achievement for transition and a benchmark group of OECD countries differences in boys’ and girls’ achievement distributions and determinants of gender inequality are examined. The reliability of results is increased by carrying out the analyses with three different educational achievement surveys: the Trends in International Maths and Science Study (TIMSS), the Programme of International Student Assessment (PISA) and the Programme of International Reading Literacy Study (PIRLS)
How reliable are income data collected with a single question?
Income is an important correlate for numerous phenomena in the social sciences. But many surveys collect data with just a single question covering all forms of income. This raises issues of quality, and these are heightened when individuals are asked about the household total rather than own income alone. Data are typically banded, implying a loss of information. We investigate the reliability of ‘single-question’ data using the ONS Omnibus and British Social Attitudes (BSA) surveys as examples. We first compare the distributions of income in these surveys – individual income in the Omnibus and household income in the BSA – with those in two other much larger UK surveys that measure income in much greater detail. Second, we investigate an implication of restricting the single question to individual income and interviewing only one adult per household: total income in respondents’ households is unobserved. We therefore examine the relationship between individual and household income in one of the comparator surveys. Third, after imposing bands on comparator survey data, we measure the information loss from banding with Generalised Entropy indices. We then assess its impact on the use of income as a covariate. Disaggregation by gender proves fruitful in much of the analysis
Expenditure as proxy for UK household emissions? Comparing three estimation methods
Due to a lack of emissions data at the household level, studies examining the relationship between UK household CO2 emissions and household characteristics currently rely on expenditure surveys to estimate emissions. There are several possible methods available for doing so but so far there is no discussion in the literature about the advantages and disadvantages related to these options. Such a comparison is relevant because studies in this area often draw policy-relevant conclusions.To address this gap, this paper compares three different methods of estimation to discuss two questions: first, is it at all necessary to convert household expenditure into emissions, given that household expenditure and emissions are strongly correlated, and does research that takes this approach add anything to the insights that already exist in the extensive literature on the determinants of household expenditure? Second, if we assume that it is necessary to convert household expenditure into emissions, are more detailed (and time-consuming) methods of doing so superior to less detailed approaches? The analysis is based on expenditure data from the UK Living Costs and Food Survey 2008-9 and its predecessor the Expenditure and Food Survey 2006-7
Growth model for arbuscular mycorrhizal fungi
In order to quantify the contribution of arbuscular mycorrhizal (AM) fungi to plant phosphorus nutrition, the development and extent of the external fungal mycelium and its nutrient uptake capacity are of particular importance. We develop and analyse a model of the growth of AM fungi associated with plant roots, suitable for describing mechanistically the effects of the fungi on solute uptake by plants. The model describes the development and distribution of the fungal mycelium in soil in terms of the creation and death of hyphae, tip–tip and tip–hypha anastomosis, and the nature of the root–fungus interface. It is calibrated and corroborated using published experimental data for hyphal length densities at different distances away from root surfaces. A good agreement between measured and simulated values was found for three fungal species with different morphologies: Scutellospora calospora (Nicol. & Gerd.) Walker & Sanders; Glomus sp.; and Acaulospora laevis Gerdemann & Trappe associated with Trifolium subterraneum L. The model and findings are expected to contribute to the quantification of the role of AM fungi in plant mineral nutrition and the interpretation of different foraging strategies among fungal specie
Recommended from our members
Unequal emissions – unequal policy impacts: how do different areas of CO2 emissions compare?
Distributional implications of climate change mitigation policies relate to important questions about fairness: which groups bear the highest burdens – or receive the greatest assistance – from these policies and how does this relate to their contribution to emissions? It is already well established that general carbon taxes are likely to have regressive impacts – placing higher relative burdens on poorer than on richer households – and it is often argued that these effects can be reversed, for example through rebate schemes or equal per capita carbon allowances. But does this hold equally for home energy, transport, indirect emissions? And which role do household characteristics other than income and household size play for the distribution of benefits and burdens from mitigation policies? This chapter provides an overview of mitigation policies and examines potential distributional implications across different emission domains. The analysis is based on a dataset of household CO2 emissions that the authors derive from UK expenditure data. It shows that mitigation policies that only target home energy emissions are least equitable from a distributional point of view, not only in terms of differences among income groups but also in relation to other household characteristics
UK households' carbon footprint: a comparison of the association between household characteristics and emissions from home energy, transport and other goods and services
Does the association between household characteristics and household CO2 emissions differ for different areas such as home energy, transport, indirect and total emissions in the UK? Specific types of households might be more likely to have high emissions in some areas than in others and thus be affected differently by climate mitigation policies that target these areas.Using the Living Costs and Food Survey and Expenditure and Food Survey for the years 2006 to 2009, this paper compares how household characteristics like income, household size, rural/urban location and education level differ in their association with home energy, transport, indirect and total emissions. We find that the association between household characteristics and emissions differs considerably across these areas, particularly for income, education, the presence of children, female headed, workless and rural households. We also test the implicit assumption in the literature that the association between household characteristics and CO2 emission is constant across the CO2 emission distribution using quantile regressions and compare results for poor and rich households. The analysis considers policy implications of these findings throughout
- …
