Suchergebnisse

The authors of the article analyze the effect of corruption on foreign direct investments in most corrupt European Union countries. Corruption in the context of the analysis is understood as an act where government officials enter into an agreement with a foreign investors against the interest of society. It takes place when illegal payments for government are made. Such payments acts as an additional tax on investments in foreign country, thus decreasing attractiveness of investment for foreign investors. There are various types of corruption, but most common classification includegrandcorruption,pettycorruption and public sector corruption. However, this article focuses on the effect ofgrandcorruption, because it directly affectsFDIinflows in particular country. Results of the research made by the authors shows that corruption has adverse effect onFDIinflows, however particular corrupt actions may postively effectFDIinflows. In order to determine corruption effect onFDIin corrupt EU countries statistical analysis of 2000–2014 period has been implemented and conceptual model of effect onFDIcreated.

The effective operation of national innovation systems can be a source of many opportunities, but it cannot be forgotten that innovation in itself may mean limiting but also generating various types of risks for the functioning of the local market. The main aim of the article is to present the concept and classification of national innovation systems in the world and to try to answer whether the type of NIS determines the level of innovation of the economies of the European Union countries. The following research thesis was formulated in the study: the type of National Innovation System determines a certain level of innovation in the economy of an European Union country, i.e., in countries belonging to a developed NIS, the level of innovation of the economy is higher than in countries belonging to developing systems. The results of the analysis confirm the research thesis. In the empirical part, the level of innovation in the European Union countries was assessed using the synthetic measure of development (SMD) by Z. Hellwig. Based on the obtained values of the synthetic measure of development (innovation), a ranking of the innovation of the economies of the EU countries was compiled and groups of countries with a similar degree of innovation in the economy were distinguished. The developed ranking of the European Union countries was compared with the NSI classification presented in the theoretical part of the article. The study covered 2010 and 2019.

The effective operation of national innovation systems can be a source of many opportunities, but it cannot be forgotten that innovation in itself may mean limiting but also generating various types of risks for the functioning of the local market. The main aim of the article is to present the concept and classification of national innovation systems in the world and to try to answer whether the type of NIS determines the level of innovation of the economies of the European Union countries. The following research thesis was formulated in the study: the type of National Innovation System determines a certain level of innovation in the economy of an European Union country, i.e., in countries belonging to a developed NIS, the level of innovation of the economy is higher than in countries belonging to developing systems. The results of the analysis confirm the research thesis. In the empirical part, the level of innovation in the European Union countries was assessed using the synthetic measure of development (SMD) by Z. Hellwig. Based on the obtained values of the synthetic measure of development (innovation), a ranking of the innovation of the economies of the EU countries was compiled and groups of countries with a similar degree of innovation in the economy were distinguished. The developed ranking of the European Union countries was compared with the NSI classification presented in the theoretical part of the article. The study covered 2010 and 2019.

The aim of this paper is to assess the impact of the selected tax behaviour determinants for the overall tax (non) compliance in European Union countries for a period from 2003 to 2014. Firstly, the literature on tax behaviour is analysed through the viewpoint of behavioural economics and the systemisation of the main determinants is provided. Secondly, selected tax behaviour determinants for the analysis are presented, hypotheses raised and models formed. Research suggests that tax morale, socio-cultural determinants and the relationship between tax authority and taxpayers have an overall significant impact on tax behaviour in European Union countries. Nevertheless, the effect from different determinants varies greatly across regions and countries.

The authors of the article analyze the effect of corruption on foreign direct investments in most corrupt European Union countries. Corruption in the context of the analysis is understood as an act where government officials enter into an agreement with a foreign investors against the interest of society. It takes place when illegal payments for government are made. Such payments acts as an additional tax on investments in foreign country, thus decreasing attractiveness of investment for foreign investors. There are various types of corruption, but most common classification include grand corruption, petty corruption and public sector corruption. However, this article focuses on the effect of grand corruption, because it directly affects FDI inflows in particular country. Results of the research made by the authors shows that corruption has adverse effect on FDI inflows, however particular corrupt actions may postively effect FDI inflows. In order to determine corruption effect on FDI in corrupt EU countries statistical analysis of 2000–2014 period has been implemented and conceptual model of effect on FDI created.

Purpose The purpose of this paper is to evaluate socio-economic inequalities in the use, accessibility and satisfaction with health services amongst 60-84 year old people from seven European urban communities. Design/methodology/approach Data for this study were collected in 2009. The target population was people aged 60-84 years from Stuttgart (Germany), Athens (Greece), Ancona (Italy), Kaunas (Lithuania), Porto (Portugal), Granada (Spain) and Stockholm (Sweden). The total sample comprised 4,467 respondents with a mean response rate across these countries of 45.2 per cent. Findings The study demonstrated that the majority of respondents had contact with a health care provider within the last 12 months. The highest percentages were reported by respondents from Spain (97.8 per cent) and Portugal (97.7 per cent). The results suggest that 13.0 per cent of respondents had refrained from seeking care services. The highest rates were amongst seniors from Lithuania (24.0 per cent), Germany (16.2 per cent) and Portugal (15.4 per cent). Logistic regression suggests that seniors who refrained from seeking health care was statistically significant associated with those with higher levels of education (odds ratios (OR)=1.21; 95 per cent confidence intervals (CI)=1.01-1.25) and financial strain (OR=1.26; 95 per cent CI=1.16-1.37). Furthermore, the majority of respondents were satisfied with health care services. Originality/value The findings from the "Elder Abuse: a multinational prevalence survey" study indicate the existence of significant variations in use, accessibility and satisfaction with health services by country and for socio-economic factors related to organizing and financing of care systems.

This paper aims to examine the innovation performance of 28 European Union countries. Hypothesis of the paper states there is a significant difference of innovation performance between the old and the new EU members. Furthermore, the role of SMEs regarding innovation capacity may not be the same across EU. Using K-means clustering results indicated Germany, Ireland, France, Luxemburg and Austria as the most innovative countries and Bulgaria, Estonia, Latvia, Hungary, Poland and Slovakia as the least innovative countries. Czech Republic, Croatia, Cyprus, Denmark, Finland, Greece, Italy, Lithuania, Malta, Netherlands, Portugal, Slovenia, Sweden, United Kingdom and Spain were found to have a medium level of innovation performance. Furthermore, United Kingdom surpassed the average innovation level of the cluster for the small sized enterprises. Croatia was below the average level of the cluster regardless of the size of the enterprise. Romania was the outlier with the least innovation. In order to facilitate more innovation these findings may be valuable in creating more country specific recommendations for entrepreneurial policy.

In the Summer of 1998, the Executive Board discussed a set of three papers prepared by the staff that focused on the likey impact of EMU on selected non-EU countries. In recognition of the contribution these papers could make to the literature and discussion of EMU, the Board requested that this collection of papers be published. This Occasional Paper presents the three papers in one volume Chapter 1 provides an analysis of the likely impact of EMU on three regions: Central and Eastern Europe, the Mediterranean Basin, and the African CFA zone. Chapter 2 focuses on the trade and financial effects of EMU on selected transition and Mediterranean countries. And Chapter 3 considers the possible implications of EMU for the Middle East and North Africa region

The aim of the article is to confirm a well-known thesis presented by Carmen Reinhard and Kenneth Rogoff, stating as follows: after it has exceeded the level of 90% of GDP, general government debt negatively affects the rate of economic growth. The analysis refers to 28 countries of the European Union. The applied research methodology includes: comparative descriptive analysis, statistical data analysis and the Author's own calculations. ; Celem artykułu jest znalezienie potwierdzenia dla znanej tezy autorstwa Carmen Reinhard i Kenneth Rogoffa, głoszącej iż dług publiczny po przekroczeniu poziomu 90% GDP wpływa negatywnie na tempo wzrostu gospodarczego. Badania zostały przeprowadzone na grupie 28 krajów należących do Unii Europejskiej. Zastosowane metody badawcze to komparatywna analiza opisowa, analiza danych statystycznych oraz obliczenia własne.

This paper has aimed to investigate the education – economic development nexus in the selected European Union (EU) countries during the period of 1997 – 2016. Descriptive statistics analysis and econometric techniques have been applied for this purpose. Research results have revealed statistically significant interrelationships between education and economic growth in majority of the selected countries. However, only Belgium, France, Ireland and United Kingdom have demonstrated causal relationships between the variables under consideration. In these countries the unidirectional causality running from education to economic development has shown that increase in the share of population having tertiary education promotes economic performance. In the remaining countries neither increasing share of tertiary education effects on economic development nor growing real GDP promotes tertiary education of the population. The insights of the research could be useful in achieving the goals for Europe 2020, where tertiary education is highlighted as one of the five measurable targets.

This paper has aimed to investigate the education – economic development nexus in the selected European Union (EU) countries during the period of 1997 – 2016. Descriptive statistics analysis and econometric techniques have been applied for this purpose. Research results have revealed statistically significant interrelationships between education and economic growth in majority of the selected countries. However, only Belgium, France, Ireland and United Kingdom have demonstrated causal relationships between the variables under consideration. In these countries the unidirectional causality running from education to economic development has shown that increase in the share of population having tertiary education promotes economic performance. In the remaining countries neither increasing share of tertiary education effects on economic development nor growing real GDP promotes tertiary education of the population. The insights of the research could be useful in achieving the goals for Europe 2020, where tertiary education is highlighted as one of the five measurable targets.

This paper has aimed to investigate the education – economic development nexus in the selected European Union (EU) countries during the period of 1997 – 2016. Descriptive statistics analysis and econometric techniques have been applied for this purpose. Research results have revealed statistically significant interrelationships between education and economic growth in majority of the selected countries. However, only Belgium, France, Ireland and United Kingdom have demonstrated causal relationships between the variables under consideration. In these countries the unidirectional causality running from education to economic development has shown that increase in the share of population having tertiary education promotes economic performance. In the remaining countries neither increasing share of tertiary education effects on economic development nor growing real GDP promotes tertiary education of the population. The insights of the research could be useful in achieving the goals for Europe 2020, where tertiary education is highlighted as one of the five measurable targets.

This paper has aimed to investigate the education – economic development nexus in the selected European Union (EU) countries during the period of 1997 – 2016. Descriptive statistics analysis and econometric techniques have been applied for this purpose. Research results have revealed statistically significant interrelationships between education and economic growth in majority of the selected countries. However, only Belgium, France, Ireland and United Kingdom have demonstrated causal relationships between the variables under consideration. In these countries the unidirectional causality running from education to economic development has shown that increase in the share of population having tertiary education promotes economic performance. In the remaining countries neither increasing share of tertiary education effects on economic development nor growing real GDP promotes tertiary education of the population. The insights of the research could be useful in achieving the goals for Europe 2020, where tertiary education is highlighted as one of the five measurable targets.

This paper aimed at evaluating the level of sustainability in agriculture in 28 member states of the European Union. The surveys were carried out based on a synthetic technique for order preference by similarity to an ideal solution (TOPSIS)-based measure. This method synthesizes factors of various nature and assigns them a synthetic aggregate measure. The analysis made it possible to develop a ranking of EU member states according to a differentiated level of measures and assign them to one of four groups characterized by different levels of sustainability in agriculture. The group of member states representing the highest level of sustainability in agriculture included two countries from Central and Eastern Europe, i.e., Slovakia and the Czech Republic. The group of countries with a greater than average level of sustainability comprised 14 member states of the European Union, including seven countries admitted to the community after 2004. The group with a low level of sustainability consisted of eight EU member states, six of them from the group of old EU member states, i.e., Ireland, Portugal, Greece, Italy, Denmark and the United Kingdom, and two new members, i.e., Romania and Slovenia. On the other hand, the lowest level of sustainability was characteristic of two &ldquo ; old EU&rdquo ; member states, i.e., The Netherlands and Belgium, and two &ldquo ; new EU&rdquo ; member states, i.e., Cyprus and Malta. The differentiated synthetic measure values showed disparities in the level of sustainability in agriculture among the member states of the European Union. They are a result of the varied level of development of this sector, production intensity and the resulting environmental impact.