Suchergebnisse

This study utilizes the dynamic data envelopment analysis (DEA) model by considering time to measure the energy environmental efficiency of 28 countries in the European Union (EU) during the period 2006&ndash ; 2013. There are three kinds of variables: input, output, and carry-over. The inputs are labor, capital, and energy consumption (EC). The undesirable outputs are greenhouse gas emissions (GHE) and sulfur oxide (SOx) emissions, and the desirable output variable is gross domestic product (GDP). The carry-over variable is gross capital formation (GCF). The empirical results show that first the dynamic DEA model can measure environment efficiency and provide optimum improvement for inefficient countries, as more than half of the EU countries should improve their environmental efficiency. Second, the average overall scores of the EU countries point out that the better period of performance is from 2009 to 2012. Third, the output variables of GHE, SOx, and GDP exhibit a significant impact on environmental efficiency. Finally, the average value of others is significantly better than high renewable energy utilization (HRE) with the Wilcoxon test. Thus, the EU&rsquo ; s strategy for environmental energy improvement should be to pay attention to the benefits of renewable energy (RE) utilization, reducing greenhouse gas emissions (GHE), and enhancing the development of RE utilization to help achieve the goal of lower GHE.

Using real-time data, we examine whether fiscal policy has been counter- or procyclical in a panel of 27 European Union (EU) member states over the period 2000–2015. We also investigate whether fiscal rules and government efficiency improve the cyclical reaction of fiscal policy. Our results suggest that even though fiscal plans in EU countries have an acyclical stance, budgetary outcomes are procyclical. Government efficiency and fiscal rules seem to reduce fiscal procyclicality. Further analysis also reveals that fiscal policy seems to be more procyclical in non-euro area countries and in times of economic prosperity.

Despite the great importance of sustainable development for a country, it is possible to say, having reviewed the literature widely, that this research is the first to use a Multi-Criteria Decision Method (MCDM) to analyze the sustainability of EU countries, considering different dimensions and weighting the criteria with the help of a group of experts. This paper therefore sets out a Multi-Criteria Model for analyzing the development of sustainability in EU countries (and Norway and Iceland). This required prior filtering and analysis of the data from the Eurostat database. The model was built with the multi-criteria Analytic Hierarchy Process (AHP) technique. Four experts in sustainability participated in the weighting process. The results of the AHP model are identified by areas of sustainability, with the highest value found in Norway, and the rest are found around it forming rings of sustainability, where sustainability decreases the further a country is from Norway. This research could be used to identify the strengths and weaknesses of each country with regard to sustainable development, and by analyzing the measures taken by Norway and other countries with very high sustainability, by continuous improvement processes, reach similar levels of sustainable development.

The purpose of the presented research is to assess pro-environmental behaviour (PEB) in European Union countries in 2009 and 2019. The study used a synthetic measure developed using the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) benchmark method. This method enables distinguishing classes and ranks of countries depending on the adopted characteristics. Basic measures of descriptive statistics, i.e., average, standard deviation and the coefficient of variation, were used in the analysis of the data set. The main research question addressed in this study concerns the relationship between the level of PEB and economic, demographic, and educational factors—not only on a micro scale but also from the macroeconomic perspective. The research has revealed a wide variety throughout the European Union (EU-27) countries in terms of pro-environmental behaviour. Sweden, Finland, and Denmark top the ranking, while Malta, Greece, Spain, and Romania are at the bottom of it. Northern European countries can therefore be identified as a group that represents a positive benchmark in terms of PEB across the European Union (EU-27). The correlation between PEB and selected economic, demographic, and education-related variables was also investigated. Country-level PEB is correlated with demographic and economic variables, but it is not correlated with education-related variables.

The European Union (EU) is a political and economic union of democratic European countries. One of his goals was and is to equalize living conditions in all countries. Unfortunately, it is not. Today, still, there are clear disparities both economic and social. It is worth a closer look, how does the situation in the UE at the national level. The aim of this study is to analyze the most current size selected macroeconomic and social at the EU member states to show that, despite the common policy of these countries are different.

The paper strives to determine the impact of fiscal variables on factors determining the dynamics of public debt in European Union countries. Based on the literature, the dynamics of public debt are determined by changes of three elements: the primary balance, interest-rate-growth-differential and the change of government assets. Therefore, it seems reasonable to estimate the dynamics of these three values to find the variables crucial for limiting the growth of public debt. Three groups of dynamic panel regressions were estimated based on the one-step Generalized Method of Moments. The data was collected for the 1995-2015 period for 27 EU countries. Dependent variables included: primary balance, interest-rate-growth-differential and change of government assets. Independent variables consisted of: interest payable to GDP ratio, unemployment rate, squared unemployment rate, FDI stock to GDP, net FDI inflow to GDP, general government expenditures to GDP, share of social security expenditures and openness of the economy measured by the ratio of export and import to GDP. On the basis of statistical data, three components of debt changes were distinguished, and estimations of the dynamic panel regressions were applied to find the impact of independent variables. According to the basic models, the primary balance is lower for: countries with higher unemployment, greater FDI stock and higher general government expenditures.

This article investigates the competitiveness of agri-food exports of the European Union (EU-27) countries on global markets, using the revealed comparative advantage (B) index over the years 2000-11. Panel unit root tests, mobility index and the Kaplan-Meier survival rates of the B index are used. The majority of agri-food products in the EU-27 countries show a comparative disadvantage on global markets. The B indices of the EU-27 countries tend to convergence. Most of the old EU-15 Member States experienced a greater number of agri-food products having a longer duration of revealed comparative advantages than have most of the new EU-12 Member States. Among the most successful Member States in agri-food export competitiveness on global markets are the Netherlands, France and Spain. Adapted from the source document.

Financial security of the country means the absence of threats to the financial system, ensuring the stability and development of the financial system and the ability to maintain the financial sovereignty of the state. The aim of the article is to evaluate financial security in EU countries. The aggregate financial security index (AFSI) is used to reach this goal. AFSI calculation is based on five sub-indexes: Human Development Index, Economic Globalisation Index, Financial Development Index, Index of Economic Freedom and Country Level Index of Financial Stress. The results show that Market-based EU countries have the highest financial security. The lowest financial security was set in Eastern European countries.

This paper discusses the issue of the patterns of technological accumulation in selected Euro-pean Union countries. Using the WIPO Technology Concordance Table and the index of rela-tive comparative advantage (Balassa's Revealed Comparative Advantage), it seeks to answer the question about the directions and dynamics of technological change in selected EU countries. The main objectives of the research are the identification of relative technological advantages in individual countries and an assessment of the diversification of comparative technological advantages. The principal findings of the analysis are (1) technological advantages (and com-petences) are relatively stable over time, and (2) technology leaders rarely change.

Abstract
Background
Circular economy (CE) is a development priority of the European Union and it is part of the EU industrial strategy. The transition to a more circular economy is an essential contribution to the EU's efforts to develop a sustainable, low carbon, resource-efficient and competitive economy. The author focuses her CE-related reflections and research in this paper on the macro-level (research subjects: 28 EU countries), the level which is least represented in scholarly publications addressing CE (as follows from the analysis of literature in the Scopus database). This study aims to fill this gap partially. The aim of this paper is to identify and group the EU-28 countries according to their advancement towards circular economy. CE indicators proposed by the European Commission were used for the analysis. Given the research subjects and after an analysis of the literature they were concluded to be the most adequate. The theoretical part was based on an analysis of the literature, whereas the empirical work used the principal components analysis, hierarchical and k-means clustering and a grade correspondence-cluster analysis.

Results
On the basis of the research, the existence of a "two-speed Europe" was identified in terms of EU countries' advancement towards CE. Leading countries, those most advanced in pursuing operation according to CE principles, include Germany, Belgium, Spain, France, Italy, the Netherlands and the United Kingdom. The second pole accommodates EU countries in which transformation towards CE is happening at the slowest pace. This group includes mainly countries of the Central and Eastern Europe and the countries of the south of Europe.

Conclusions
Differentiated levels of advancement of individual countries towards CE result inter alia from the adoption by some of the latter of different development strategies for their economies' transitioning to circular economy (according to recommendations of EU ministers at the Environment Council in June 2016) and also from the differences occurring in social and economic development (it is mostly noticeable between the EU-15 and the EU-13 countries). Unfortunately, as can be concluded from the effects obtained so far, only a few of the adopted development strategies may be considered effective in meeting the challenges of circular economy according to the European Union's standards.

Purpose: The broadening of the concept of intellectual capital from the micro level to the macro level presents a challenge for contemporary researchers. No universal definition of national intellectual capital (NIC) or its taxonomy have been developed as yet. This hampers empirical research on measuring NIC resources, thus rendering it difficult to make cross-sectional and temporal comparisons. Therefore, methods are being sought to allow for estimating the volumes of intellectual capital on a macroeconomic level. The purpose of the article is to present an original concept of measuring NIC in the European Union (EU) countries, construct a synthetic measure of NIC on the basis of TOPSIS method, and create a ranking and classification of the EU countries in terms of their NIC resources. Design/Methodology/Approach: The study uses TOPSIS, which is a multi-criteria decision-making method. Findings: The obtained results reveal strong disparities between the EU countries as regards NIC resources. They confirm, moreover, the existence of high intellectual capital resources in the countries of Northern Europe. Practical Implications: The outcomes of the conducted study and its conclusions can be used by decision-makers, both at the EU level and in particular countries. They can also serve as an instrument for bolstering the policies and practices promoting a holistic approach to socio-economic development. Originality/Value: The article contains an original author's concept of measuring NIC resources, which can be applied to cross-sectional and temporal comparisons across EU countries. ; peer-reviewed

<b><i>Introduction:</i></b> Unrecorded alcohol, that is, alcohol not reflected in official statistics of the country where it is consumed, contributes markedly to overall consumption of alcohol. However, empirical data on unrecorded alcohol consumption are scarce, especially in high-income countries. This study measures the contribution of unrecorded alcohol in 7 member states of the European Union. <b><i>Methods:</i></b> Two categories of unrecorded consumption were assessed in general population surveys (reducing alcohol related harm Standardized European Alcohol Survey; <i>n</i> = 11,224): home-made alcohol and cross-border shopping. Country-specific logistic regressions were used to link respondent characteristics to odds of acquisition of unrecorded alcohol. Total <i>per capita</i> alcohol consumption was estimated under different assumptions of calculating unrecorded alcohol consumption. <b><i>Results:</i></b> Individuals with higher drinking levels were more likely to acquire unrecorded alcohol in all 7 countries. In some countries, male sex and more affluent social class were also positively linked to acquisition of unrecorded alcohol. There was a substantial contribution of unrecorded alcohol to overall consumption in 5 out of 7 member states (Croatia, Finland, Greece, Hungary, Portugal), but not in Poland or Spain. In Greece, up to two-thirds of all alcohol consumed was estimated to be unrecorded.<b><i> Conclusion:</i></b> Unrecorded alcohol contributes to overall consumption even in high-income countries, and thus needs to be monitored. In monitoring, as many categories of unrecorded alcohol as possible should be clearly defined (e.g., surrogate alcohol) and included in future surveys.

Introduction: Unrecorded alcohol, that is, alcohol not reflected in official statistics of the country where it is consumed, contributes markedly to overall consumption of alcohol. However, empirical data on unrecorded alcohol consumption are scarce, especially in high-income countries. This study measures the contribution of unrecorded alcohol in 7 member states of the European Union. Methods: Two categories of unrecorded consumption were assessed in general population surveys (reducing alcohol related harm Standardized European Alcohol Survey; n = 11,224): homemade alcohol and cross-border shopping. Country-specific logistic regressions were used to link respondent characteristics to odds of acquisition of unrecorded alcohol. Total per capita alcohol consumption was estimated under different assumptions of calculating unrecorded alcohol consumption. Results: Individuals with higher drinking levels were more likely to acquire unrecorded alcohol in all 7 countries. In some countries, male sex and more affluent social class were also positively linked to acquisition of unrecorded alcohol. There was a substantial contribution of unrecorded alcohol to overall consumption in 5 out of 7 member states (Croatia, Finland, Greece, Hungary, Portugal), but not in Poland or Spain. In Greece, up to two-thirds of all alcohol consumed was estimated to be unrecorded. Conclusion: Unrecorded alcohol contributes to overall consumption even in high-income countries, and thus needs to be monitored. In monitoring, as many categories of unrecorded alcohol as possible should be clearly defined (e.g., surrogate alcohol) and included in future surveys. ; J.R. acknowledges funding from the Canadian Institutes of Health Research, Institute of Neurosciences, Mental Health and Addiction (Canadian Research Initiative in Substance Misuse Ontario Node grant number SMN-13950).