This paper provides empirical evidence on the innovation performance in the European countries in the years of recovery from the global economic and financial crisis by using the CDM model of simultaneous equations. The model directly links R&D engagement and intensity to innovation outcomes measured either as process or as product innovation, and then estimates the effectiveness of the innovative efforts leading to productivity gains. The difference between the drivers of innovation systems and its influence over the productivity growth is analyzed between two different institutional settings in Europe. For that purpose a company-level dataset is used from the 2012 round of the Comunity Innovation Survey. Тhe results indicated that the recent financial crisis had negative influence on the companies’ willingness to innovate. The effect of the crisis led to further divergence in the innovation systems of these two institutional settings. Identifying the characteristics of the innovation systems and drivers of innovation during the turmoil shows that policy instruments on EU level should be oriented towards creation of competitive business environment, encouragement to adopt the best management techniques and organizational structures and improvement of well-functioning capital, product and labor markets.

In this paper we base our analysis on previous OECD findings and analysis of trade facilitation indicators for assessing relative economic and trade impact of specific trade facilitation measures for the countries of South-Eastern Europe. In the analysis we plan to include all CEFTA-2006 members, except Moldova, and other countries which are part of this region: Bulgaria, Romania and Greece. We plan to construct twelve trade facilitation indicators (TFIs) that correspond to the main policy areas under negotiations at the WTO. The indicators are composed from seventy-eight variables, whose values are drawn from publicly available data. We plan to use these indicators in gravity model in order to estimate the impact of those policy areas on trade volumes between the countries of the region. The use of individual trade facilitation indicators should also enable countries to better assess which trade facilitation measures deserve priority.

What is Behind Extreme Negative Returns co-movement in the South Eastern European Stock Markets?

We analyse the effects of fiscal and monetary policies in Croatia and Macedonia estimated by a Bayesian vector autoregression (VAR). The main results of the study are as follows. Fiscal tightening leads to economic expansion in Macedonia and a decline in economic activity in Croatia. In both countries fiscal tightening leads to a decline in inflation and money market rates. Monetary tightening leads to output contraction and a decline in inflation in both countries. We find an opposite reaction of the fiscal authorities to a monetary shock, i.e., monetary contraction is accompanied by fiscal tightening in Croatia and by loose fiscal policy in Macedonia.