Suchergebnisse

Most of the papers presented at the International Seminar on the European Union in World Politics, held at New Delhi during 21-22 May 2003

In this article, the global simulation model (GSIM) of Joseph F. Francois and
Keith H. Hall (2009) for analyzing global, regional, and unilateral trade
policy changes was applied to Serbia. This was to measure the effects of full
trade liberalization with the EU after Serbian accession to the EU. As
anticipated, most of the changes in welfare after full liberalization of
trade between Serbia and EU can be expected in sectors where Serbia has
specialized; protection against imports from the EU is strong. However,
losses could also occur in sectors that currently face strong protection
against the rest of the world and this protection is lost after EU accession.
Trade liberalization will lead to a substantial loss of tariff revenues.
Reduced consumer prices might, on the one hand increase consumer surplus but
on the other hand decrease producer surplus and output in certain industries.

The Paris Agreement would not have come into being had China, the United States (US), and the European Union (EU), which together contribute more than half of all global greenhouse gas emissions, not signaled their intent to take major steps to reduce their domestic emissions. The EU has been at the forefront of global climate change measures for years having issued binding domestic emission reduction targets for 2020 and 2030. For many years, China refused to announce a target date for when it might begin reducing its greenhouse gas emissions, and the US Congress blocked action on climate change. In the lead up to the Paris climate negotiations, however, there were major shifts in China's and the US's climate positions. This commentary examines the climate policies of the three largest emitters and the factors motivating the positions they took in the Paris negotiations. Given that the commitments made in Paris are most likely insufficient to keep global temperature from rising 2 °C above pre-industrial levels, the commentary also considers what the likelihood is that these three major economies will strengthen their emission reduction targets in the near future.

IntroductionSequence-based typing of hepatitis A virus (HAV) is important for outbreak detection, investigation and surveillance. In 2013, sequencing was central to resolving a large European Union (EU)-wide outbreak related to frozen berries. However, as the sequenced HAV genome regions were only partly comparable between countries, results were not always conclusive.AimThe objective was to gather information on HAV surveillance and sequencing in EU/European Economic Area (EEA) countries to find ways to harmonise their procedures, for improvement of cross-border outbreak responses.MethodsIn 2014, the European Centre for Disease Prevention and Control (ECDC) conducted a survey on HAV surveillance practices in EU/EEA countries. The survey enquired whether a referral system for confirming primary diagnostics of hepatitis A existed as well as a central collection/storage of hepatitis A cases' samples for typing. Questions on HAV sequencing procedures were also asked. Based on the results, an expert consultation proposed harmonised procedures for cross-border outbreak response, in particular regarding sequencing. In 2016, a follow-up survey assessed uptake of suggested methods.ResultsOf 31 EU/EEA countries, 23 (2014) and 27 (2016) participated. Numbers of countries with central collection and storage of HAV positive samples and of those performing sequencing increased from 12 to 15 and 12 to 14 respectively in 2016, with all countries typing an overlapping fragment of 218 nt. However, variation existed in the sequenced genomic regions and their lengths.ConclusionsWhile HAV sequences in EU/EEA countries are comparable for surveillance, collaboration in sharing and comparing these can be further strengthened.

Foreign direct investment (FDI) is an extremely important factor that promotes national competitiveness and economic development through technology transfer, new management skills, foreign trade, corporate productivity, etc. This study aims to analyze the significance of FDI and its impact on tax revenue and competitiveness, focusing on the European Union (EU) economy. An empirical analysis is conducted to determine the relationship between inward and outward FDI and tax revenue by employing data on EU countries between 1999 and 2019. The data were extracted from the United Nations Conference for Trade and Development (UNCTAD) database and the World Development Indicators database (WDI) of the World Bank. To fulfill the objective of this study and to determine the effect of FDI on tax revenue, an econometric model was developed. The research methods include systematic and comparative analysis of scientific literature, panel data analysis, and multiple regression analysis. The regression analysis was based on the least-squares method, and the estimates of the econometric models were calculated by identifying robust heteroscedasticity-consistent standard errors. The study results reveal that the outward FDI has a significant stimulating impact on total tax revenue. In contrast, inward FDI has a dampening effect on tax revenue. The analysis of the lagging effect of FDI on tax revenue in the EU member states revealed a statistically significant lagging impact of the outward FDI made two years before. The estimations indicate that the lagging effect is an incentive. No statistically significant lagging effect of the inward FDI flows on tax revenue was found.