This paper analyses macroeconomic developments in the Eurozone since its inception in 1999. In doing so, we document a process of divergence and polarisation among those countries that joined the Eurozone during its first two years. We find evidence for a ‘core–periphery’ pattern among Eurozone countries, that is, however, marked by substantial heterogeneity within these two clusters. We show how the polarisation process underlying this pattern first manifested in increasing current account imbalances, before it translated unto the level of general macroeconomic development when the crisis hit. Empirically, we demonstrate how this macroeconomic divergence is tied to a ‘structural polarisation’ in terms of the sectoral composition of Eurozone countries; specifically, the emergence of export-driven growth in core countries and debt-driven growth in the Eurozone periphery can be traced back to differences in technological capabilities and firm performance. Pushing for convergence within Europe requires the implementation of industrial policies aiming at a technological catch-up process in periphery countries in combination with public investment and progressive redistributional policies to sustain adequate levels of aggregate demand in all Eurozone countries.
A large volume of econometric literature has studied the impact of economic globalisation on income inequality around the world. However, reported econometric estimates vary substantially, which makes it difficult to draw valid conclusions. This paper presents a quantitative summary and analysis of existing estimates regarding the globalisation–inequality relationship. We use a new data set consisting of 1,254 observations from 123 primary studies. By applying meta‐analysis and meta‐regression methods, we obtain several main findings. First, globalisation has a (small‐to‐moderate) inequality‐increasing effect. Second, while the effect of trade globalisation is small, financial globalisation shows a more sizeable and significantly stronger inequality‐increasing impact. Third, we find an average inequality‐increasing impact of globalisation in both advanced and developing countries. Fourth, education and technology moderate the impact of globalisation on income inequality.
This paper surveys measures of economic openness, the latter being understood as the degree to which non-domestic actors can or do participate in a domestic economy. Based on the existing literature, the authors introduce a typology of openness indicators, which distinguishes between 'real' and 'financial' openness as well as 'de-facto' and 'de-jure' measures of openness. They use data collected on these indicators to analyze trends in openness over time and to conduct a correlation analysis across indicators. Finally, they illustrate the potential consequences of employing different openness measures in a growth regression framework.
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