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The object of this research is public innovation support in the European Economic Area and its effectiveness assessment. The main aim is to propose a new model for public innovation support effectiveness assessment, adjusted to contemporary needs and based on practice of public innovation support development. Research Design & Methods: The methods of comparative, cluster, regression, modelling analysis, multi-criteria evaluation, analogy search, logical abstraction and impact evaluation have been applied for the research presented in this paper. Findings: The paper conceptualizes a new model for the assessment of public innovation support. It is based on theoretical argumentation and practical verification. Its structure is based on new solutions and quantitative assessment methods. Implications & Recommendations: The analysis of the proposed model applicability revealed important patterns for the public innovation support impact assessment. Findings suggest that the increase of public innovation support index is a necessary but insufficient condition for the growth of the countries innovation index. The impact of public innovation support occurs only in the long run, as the delay of the effect exists. Contribution & Value Added: The proposed system of quantitative and qualitative indicators that characterize any public innovation support system (public innovation support index) enables the creation and implementation of measures devoted to the public innovation support impact improvement at EU and national level. The practical application of the suggested model is significant for the effectiveness improvement of public innovation support at EU institutions.

The object of this paper is related to the public innovation support in Euro-pean Economic Area and its effectiveness assessment. Main aim of the re-search presented in this paper is to propose new model for public innovation support effectiveness assessment, which could be relevant to the contempo-rary needs and would be based on new explored practice of public innova-tion support developments. The methods of comparative, regression, model-ling analysis, multi-criteria evaluation, analogy search, logical abstraction and impact evaluation have been applied for the research presented in this paper. Proposed original system of quantitative and qualitative indicators that characterize any public innovation support system (public innovation support index) enables creation and implementation of measures devoted to the public innovation support impact improvement at EU and national level.

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In the last years, the fact of anthropogenic impact on climate change taking place in the world has become indisputable. Both countries and international organizations have taken steps to reduce GHG emissions, move to a low-carbon economy and implement solutions that reduce human impact on the environment. The EU, by intensifying its activities, has also prepared a strategy known as the European Green Deal. In implementing the EGD, it is important to analyze the impact of energy development in energy-intensive sectors of the economy (industry, transport, agriculture, services and other cores) on atmospheric pollution. Energy development is understood as the energy consumption percentage from all its consumption. In the article, complex correlation–regression analysis was implemented, which included not only energy development impact on the CO2 emissions level (i.e., production-based CO2 efficiency), but also its impact on economic growth. The research was conducted for the EU euro area countries. It was determined that the strongest positive correlation is to be found in the transport sector, which implies that with an increase in energy consumption in that sector, production-based CO2 efficiency is increasing. On the other hand, this increment in efficiency was relatively small and was achieved with the rapid growth of the energy consumption. The implemented research confirmed that the transportation sector is the one which is polluting the atmosphere the most with CO2 emissions in the Eurozone. The results of the implemented research could be used for the formation of targeted measures for the green growth strategy implementation, and also for ECB and EIB to support “green” projects.