Comparing mental health systems across countries is difficult because of the lack of an agreed upon terminology covering services and related financing issues. Within the European Union project REFINEMENT, international mental health care experts applied an innovative mixed "top-down" and "bottom-up" approach following a multistep design thinking strategy to compile a glossary on mental health systems, using local services as pilots. The final REFINEMENT glossary consisted of 432 terms related to service provision, service utilisation, quality of care and financing. The aim of this study was to describe the iterative process and methodology of developing this glossary.

The European Green Deal considers the increase in the share of renewable energy in final energy consumption (REFEC) among the main targets for achieving sustainable EU economies. In this context, the main aim of this paper is to provide an empirical evaluation of the relationship between GDP, global competitiveness index (GCI) and renewable energy consumption. According to panel data models based on the fully modified ordinary least squares method (FMOLS), there is a positive effect of renewable energy consumption progress on GDP and GCI growth, and also a positive influence of economic growth on renewable energy consumption in the period 2007–2019 in the EU countries. The energy consumption is more influenced by economic growth rather than economic competitiveness. Few scenarios were proposed for economic growth and share of renewable sources (RESs) in the final consumption using as forecasting method the proposed panel data models. The cluster analysis suggested two groups of countries according to RES share in gross final energy consumption (GFEC). The first group includes six countries (Sweden, Denmark, Finland, Latvia, Portugal and Austria) that fixed a target of 30% or more, while the second one refers to countries with lower targets. Some policy recommendations are provided for the EU countries to enhance the utilization of renewable energy.

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

In the last few decades clusters have become a very attractive concept for economic practice: they are approached as a key source of competitive advantage, mainly in connection with their capacity to be critical drivers of innovation which is heavily concentrated from a geographical viewpoint. As argued by the European Cluster Memorandum (European Cluster Alliance, 2007), clusters stimulate the emergence of new ideas in networks of cooperating business firms and institutions, lowering the barriers for transforming new ideas into businesses. In line with this overall orientation the strong cluster support offered by the EU has been conceived in tight relation to those cohesion policy programmes aiming at fostering regional innovation and knowledge-based networks. Indeed, in the last two decades there has been shown to be enormous concern with growth based on science and innovation, with a special emphasis on technology-intensive activities. Nevertheless, the``obsession with high-tech industries'' (Trippl, 2010, page 193) has begun to encounter sharp criticism by several authorsöthe idea that medium-tech and low-tech industries could also be innovative and could provide substantial impulse to regional growth is getting more attention (

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