Eco-innovation, as a new concept, and green technologies are central to the Europe’s future and at the core of the European Union policies to boost competitiveness, create jobs, and generate sustainable growth for years to come. In this context, eco-innovation is a significant tool that combines decreased environmental impact with a positive socioeconomic impact. This paper highlights the prominent role of eco-innovation and investigates still scarcely explored impact assessment of GDP growth, quality of institutions, and recycling rates on the eco-innovation index in the 28 European Union member states. Specifically, the set of regression analyses that use panel estimation models was undertaken and the system GMM estimator with robust standard errors was used. Econometric analysis indicates that GDP growth rate, quality of institutions, and recycling rate of municipal waste had a statistically significant and positive effect on eco-innovation in the period 2010-2016.

This paper aims to provide analysis on the determinants of export performance on the extensive data-set of the 27 European Union member states' total manufacturing and high tech manufacturing industry. Hence, this paper adds to the existing empirical work by specifying an export performance equation not only as a function of income and price, as is traditionally done, but also industrial production and labour cost. For that purpose, dynamic panel data models are estimated by utilising the system GMM estimator for the period from 2000 to 2011. The obtained results indicate that both industrial production and domestic demand have a positive and statistically significant impact on total and high tech manufacturing exports. On the other hand, it is proven that foreign demand also has an impact on total manufacturing exports. Thus, the paper's contribution is reflected in the acknowledgement that a stable macroeconomic environment (contained in the significance of a dummy variable for the economic crisis in both models), boosting production capacity and domestic demand, is essential for better export performance and the competitiveness of the manufacturing industry in an increasingly competitive global economic climate. Finally, from the perspective of policy-making, the paper concludes that recovery in the manufacturing industry could be the much needed push from crisis to economic development.

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This article compares the applicability of both the gradual and the shock therapy approach to reform implementation in large-scale change. Using quantitative data, it aims to provide more evidence for the lessons learned from post-socialist transformation. Hence it adds a theoretical and an empirical contribution to the body of literature on great transformations, focusing on their speed and the acceptability of related policy solutions. Despite the predominant inclination towards the gradualist approach to reforms in the initial transition years, economic indicators suggest that the big bang reformers have demonstrated a superior performance over the last (few) decade(s). Still, the approach to (post-)transition processes should be multidimensional and include more than the speed of transformation and key economic indicators. Therefore, a quantitative analysis covers several aspects of socioeconomic change. The analysis of the quality of democracy, market economy, and management performance in post-socialist EU member states indicates that over the last decade the countries that applied the shock therapy approach have performed significantly better in all these areas. This suggests that slow reformers are lagging behind in the development of democratic institutions and a modern market economy, and presumably have insufficient capacities to rapidly catch up with fast reformers. Further research on this topic should tackle the deep roots of socioeconomic development and path-dependent choices (reform speed included), proximity to Western countries, the possible effects of other specific circumstances (such as war), the importance of selected institutions on the performance of post-socialist non-EU member states, and other limitations.

This paper presents an overview of theoretical and empirical research on the interaction between political institutions and economic variables. Using the dynamic panel model, the paper also investigates the indirect effects of electoral systems on the size of general government spending. The analysis is performed on a panel dataset of 26 countries (25 member states of the European Union and Croatia) for the period between 1995 and 2010. The results show that government fragmentation and political stability affect the dynamics of budgetary expenditures in line with theoretical assumptions. Regarding the implications of this research for Croatia, it has been shown that a higher degree of government fragmentation leads to an increase in government spending which is a significant result since Croatia has generally had some form of coalition government