The European School of Economics is a private business school which offers UK bachelors and masters degrees and specialised short programmes at its campuses in London, New York, Milan, Rome, Florence and Madrid. Specifically, ESE students can earn a BBA in Marketing, Finance, Management, or Media and Communications; an MSc in Finance, Management or Marketing; or an MBA in Business Administration. ESE degree programmes are validated by the University of Buckingham, which confers the degrees.The European School of Economics is a recognised Educational Institution, accredited by the British Accreditation Council . ESE is listed among the institutions delivering courses that lead to Degrees awarded by Recognised Bodies .Students may also take non-degree short programmes in the specialised areas of Marketing, Management, Finance, HR and Entrepreneurship as well as Event Management, International Management, Art Management & Consultancy.The European School of Economics is recognised as a listed body by the Department for Business Innovation and Skills and by UK law as an institution that delivers courses which lead to UK degrees awarded by recognised bodies – in this case specifically the University of Buckingham.ESE’s London campus is accredited by the British Accreditation Council.In Spain in 2010, the Madrid Campus of the European School of Economics was authorised by the Ministry of Education and the Comunidad de Madrid to teach university-level programmes leading to the award of a British degree in Spain. This authorisation allows ESE students who successfully complete the degree programme to apply for recognition of the British degree as an equivalent to the corresponding Spanish level of studies. All the Degree programs taught at ESE Madrid are registered at the Comunidad de Madrid as an authorized institution. Wikipedia.
Monastiriotis V.,European School of Economics
Environment and Planning C: Government and Policy
The European Union (EU) association framework provides European businesses with an entry advantage into the associated countries by facilitating production links and encouraging institutional convergence. It is believed that this has multiple beneficial effects for the associated countries, including ones related to productivity spillovers accruing to domestic firms. However, no empirical evidence exists to show that the presence of European firms produces larger productivity spillovers in recipient economies compared to firms from other world regions. We examine this question using firm-level data covering 28 transition countries over the period 2002–2009. We estimate the intra-industry productivity effects of foreign ownership and examine how these differ across regional blocks (Central and Eastern Europe, South East Europe and European Neighbourhood Policy), by origin of investor (EU15 versus non-EU15), across geographical scales (national versus regional) and for different types of locations (capital-city regions versus the rest). Our results suggest that investments of EU origin play a distinctive role, helping raise domestic productivity in the associated countries unlike investments from outside the EU. However, this process operates in a spatially selective manner, potentially enhancing regional disparities and spatial imbalances. This assigns a particular responsibility for EU policy to devise interventions that will help redress these problems within its existing association framework. © SAGE Publications Ltd, 2016. Source
Korppoo A.,Fridtjof Nansen Institute |
Korppoo A.,European School of Economics |
Kokorin A.,Coordinator of Climate Change Programme
This article provides an overview of the recent modelling results on Russia's GHG emission trends, and reviews the success of mitigation policies in order to establish whether Russia's domestic target seems feasible. Various Russian GHG emission scenarios indicate that Russia's domestic target – emissions 25% below the 1990 level by 2020 – is not far from the business-as-usual emissions trajectory. In particular, two factors could deliver the required emissions reductions: the currently declining gross domestic product (GDP) growth and ongoing domestic mitigation policies. The former is more likely to secure the target level of emissions, because GDP growth has been contracting significantly in comparison to earlier forecasts of 3–5% annual growth, and this trend is expected to continue. The latter option – success with domestic mitigation measures – seems less likely, given the various meta-barriers to policy implementation, and the marginality of mitigation policies, problems with law-making processes, bureaucratic tradition, and informality of legislative and implementation systems. Policy relevance This article provides an assessment of the stringency of Russia's domestically set emissions limitation target by 2020 and the chances of Russia, the fourth largest GHG emitter in the world, achieving it. We base our assessment on a number of recent key sources that analyse Russia's GHG emission paths by applying socio-economic models, which have only been available in the Russian language prior to this publication. This knowledge is applicable for use by other negotiation parties to compare Russia's efforts to mitigate climate change to their own, and thus makes a contribution to facilitating a more equal burden-sharing of climate commitments under the future climate change agreement. © 2015 Taylor & Francis Source
Klemmensen R.,University of Southern Denmark |
Hobolt S.B.,University of Southern Denmark |
Hobolt S.B.,European School of Economics |
Dinesen P.T.,University of Southern Denmark |
And 2 more authors.
Twin Research and Human Genetics
We compare a recent Danish twin survey on political attitudes and behaviors to a nationally representative survey covering similar topics. We find very similar means and variances for most of our constructed scales of political attitudes and behaviors in the two surveys, although even small differences tend to be statistically significant due to sample size. This suggests that the twin study can be used to make inferences on the heritability of several political traits in the Danish population. Copyright © Cambridge University Press 2012. Source
Cylus J.,European School of Economics
The objective of this paper is to examine variations in perceptions of access to health care across and within 29 European countries. Using data from the 2008 round of the European Social Survey, we investigate the likelihood of an individual perceiving that they will experience difficulties accessing health care in the next 12 months, should they need it (N= 51,835). We find that despite most European countries having mandates for universal health coverage, individuals who are low income, in poor health, lack citizenship in the country where they reside, 20-30 years old, unemployed and/or female have systematically greater odds of feeling unable to access care. Focusing on the role of income, we find that while there is a strong association between low income and perceived access barriers across countries, within many countries, perceptions of difficulties accessing care are not concentrated uniquely among low-income groups. This implies that factors that affect all income groups, such as poor quality care and long waiting times may serve as important barriers to access in these countries. Despite commitments to move towards universal health coverage in Europe, our results suggest that there is still significant heterogeneity among individuals' perceptions of access and important barriers to accessing health care. © 2015 The Authors. Source
Kontopantelis E.,University of Manchester |
Reeves D.,University of Manchester |
Valderas J.M.,University of Oxford |
Valderas J.M.,European School of Economics |
And 2 more authors.
BMJ Quality and Safety
Background: The UK's Quality and Outcomes Framework (QOF) was introduced in 2004/5, linking remuneration for general practices to recorded quality of care for chronic conditions, including diabetes mellitus. We assessed the effect of the incentives on recorded quality of care for diabetes patients and its variation by patient and practice characteristics. Methods: Using the General Practice Research Database we selected a stratified sample of 148 English general practices in England, contributing data from 2000/1 to 2006/7, and obtained a random sample of 653 500 patients in which 23 920 diabetes patients identified. We quantified annually recorded quality of care at the patient-level, as measured by the 17 QOF diabetes indicators, in a composite score and analysed it longitudinally using an Interrupted Time Series design. Results: Recorded quality of care improved for all subgroups in the pre-incentive period. In the first year of the incentives, composite quality improved over-and-above this pre-incentive trend by 14.2% (13.7-14.6%). By the third year the improvement above trend was smaller, but still statistically significant, at 7.3% (6.7-8.0%). After 3 years of the incentives, recorded levels of care varied significantly for patient gender, age, years of previous care, number of co-morbid conditions and practice diabetes prevalence. Conclusions: The introduction of financial incentives was associated with improvements in the recorded quality of diabetes care in the first year. These improvements included some measures of disease control, but most captured only documentation of recommended aspects of clinical assessment, not patient management or outcomes of care. Improvements in subsequent years were more modest. Variation in care between population groups diminished under the incentives, but remained substantial in some cases. Source