scholarly journals The eco-innovation impact on economic and environmental performance of EU Member States

2021 ◽  
Vol 19 (02) ◽  
pp. 212-228
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Dali Sekhniashvili
Keyword(s):  
Economic Growth ◽  
Environmental Performance ◽  
Random Effect ◽  
Innovation Development ◽  
Member States ◽  
Growth Environment ◽  
Eu Member States ◽  
Study Results ◽  
Performance Research

Development of innovation is recognised as a most powerful tool for the economic growth of countries. However, their effects on the quality of the environment are still being debated. To achieve sustainable development, eco-innovation becomes significant. EU countries expand eco-innovation activities, but it is not clear whether its development achieves the goal of economic growth and improves the quality of the environment. Purpose – to present how EU Member States perform in economic growth, environment and eco-innovation development and to evaluate eco-innovations impact on economic and environmental performance. Research methodology – the random effect regression was used for investigation relationship between eco-innovation, economic growth and environmental performance. Findings – eco-innovation development influences not only EU MS economic growth but also has a positive effect on environmental performance. Research limitations – eco-innovations development and economic growth can be interdepended, but this research investigates just one-way dependence. Granger causality test can be used for relationship assessment in the future. Practical implications – the research results can be used for both the development of environmental policy and the policy of business support for eco-innovation implementation. Originality/Value – study results confirmed previous assessment results on eco-innovation and economic growth and provided new knowledge of their effect on environmental performance.

scholarly journals QUALITY OF INSTITUTION AND ECONOMIC GROWTH OF THE COUNTRIES OF THE EUROPEAN UNION AND THE WESTERN BALKANS

2019 ◽  
pp. 117
Author(s):  
Vladimir Kostić ◽  
Samir Ljajić ◽  
Slobodan Cvetanović ◽  
Vladimir Nedić
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Positive Impact ◽  
The European Union ◽  
Western Balkans ◽  
Member States ◽  
Eu Member States ◽  
Governance Indicators ◽  
The Status

The paper analyzes the intensity of the influence of the quality of institutions according to the data from the World Bank's specialized Worldwide Governance Indicators database on the growth of gross domestic product per capita of 33 countries of Europe through linear and exponential regression analysis for the period from 1996 to 2016. The observed European countries are divided into three groups: 15 European Union member states in 1995; 13 EU member states from 2004, 2007 and 2013, as well as five countries of the Western Balkans that negotiate or have the status of a candidate for EU membership, in the period from 1996 to 2016. The results of the research have shown that the quality of the institutions had a very positive impact on the economic growth of the observed countries of Europe. According to statistics, positive interdependence is the most significant among the Western Balkan countries. The conclusion is that these countries have to pay special attention to the development of institutions in the process of joining the European Union.

Determinants of socio-economic transformations of technological systems: theoretical and methodical aspects

2020 ◽  
pp. 102-111
Author(s):  
Svitlana Shults ◽  
Olena Lutskiv
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Structural Changes ◽  
Member States ◽  
Social Transformations ◽  
Technological Basis ◽  
Eu Member States ◽  
Technological Paradigm ◽  
Technological Paradigms ◽  
The Eu

Technological development of society is of unequal cyclic nature and is characterized by changing periods of economic growth, stagnation phases, and technological crises. The new wave of technological changes and new technological basis corresponding to the technological paradigm boost the role of innovations and displace the traditional factors of economic growth. Currently, intellectual and scientific-technical capacity are the main economic development resources. The use of innovation and new knowledge change the technological structure of the economy, increase the elements of the innovative economy, knowledge economy, and digital economy, i.e. the new technological paradigm is formed. The paper aims to research the basic determinants of technological paradigms’ forming and development, and determining their key features, as well as to analyze social transformations of the EU Member States and Ukraine. The paper focuses attention on the research of the features of social transformations. The structural transformations are analyzed based on the Bertelsmann Transformation Index that estimates the quality of democracy, market economy, and political governance. The transformation processes are assessed on the example of the EU Member States and Ukraine. The authors argue that social transformations and structural changes in the economy are related to the change of technological paradigms that boost the economic modernization and gradual progressive development of humanity in general. The nature and main determinants of 5 industrial and 2 post-industrial technological paradigms are outlined. Their general features and main areas of basic technologies implementation emerging in the realization of a certain technological paradigm are explained. The conclusions regarding the fact that innovative technologies and available scientific-technological resources define the main vector of economic development are made. The new emerging technological paradigm is of strategic importance for society development.

Out-of-school childcare: Exploring availability and quality in EU member states

2017 ◽  
Vol 27 (1) ◽  
pp. 25-39 ◽  
Author(s):  
Janneke Plantenga ◽  
Chantal Remery
Keyword(s):  
Participation Rate ◽  
Well Being ◽  
Structural Quality ◽  
Implicit Assumption ◽  
Full Time ◽  
Member States ◽  
Eu Member States ◽  
School Care ◽  
Out Of School

While a large number of studies focus on childcare facilities for preschool children, attention for out-of-school facilities is limited. The implicit assumption seems to be that facilities to combine work and care activities are less relevant once children reach the schoolgoing age. Yet, in most countries school hours are only part-time and not compatible with a full-time working week. This study adds to the literature by providing the first overview of the availability and quality of out-of-school childcare in 27 European Union (EU) member states. The results show that only a few EU countries have a well-developed infrastructure of out-of-school care services. In addition, the (structural) quality of out-of-school care varies across the member states. Given the importance of a supportive infrastructure, a further investment in comprehensive out-of-school care system remains important, both from the perspective of the (female) participation rate and the well-being of children.

Quality of data on intra-EU trade in goods

2019 ◽  
Vol 64 (6) ◽  
pp. 5-15
Author(s):  
Iwona Markowicz ◽  
Paweł Baran
Keyword(s):  
Poor Quality ◽  
Study Data ◽  
Quality Of Data ◽  
Member States ◽  
Eu Member States ◽  
Country Level ◽  
The Poor ◽  
Made In

Official statistics on trade in goods between EU member states are collect-ed on country-level and then aggregated by Eurostat. Methodology of data collecting differs slightly between member states(e.g. various statistical thresholds and coverage), including differences in exchange rates as well as undeclared or late-declared transac-tions, errors in classification of goods and other mistakes. It often involves incomparability of mirror data (nominally concerning the same transactions recorded in statistics of both dispatcher and receiver countries). A huge part of these differences can be explained with the variable quality of data resources in the Eurostat database. In the study data quality on intra-EU trade in goods for 2017 was compared between Poland and neigh-bouring EU countries, i.e.:Germany, Czech Republic, Slovakia, Lithuania,and other Baltic states–Latvia and Estonia. The additional aim was to indicate the directions hav-ing the greatestinfluence on the observed differences in mirror data. The results of the study indicate that the declarations made in Estonia affect the poor quality of data on trade in goods between the countries mentioned above to the greatest extent.

scholarly journals Inland and Coastal Bathing Water Quality in the Last Decade (2011–2020): Croatia vs. Region vs. EU

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2440
Author(s):  
Slaven Jozić ◽  
Vanja Baljak ◽  
Arijana Cenov ◽  
Dražen Lušić ◽  
Dominik Galić ◽  
...  
Keyword(s):  
Water Quality ◽  
Coastal Waters ◽  
Inland Waters ◽  
Economic Sectors ◽  
Member States ◽  
Eu Member States ◽  
Mediterranean Countries ◽  
Bathing Waters ◽  
Bathing Water Quality

Europe is one of the leading tourist destinations where tourism is one of the key economic sectors. The quality of bathing waters is a very important factor when choosing a vacation destination. Croatia recognized this early and was one of the first Mediterranean countries to start systematic monitoring of bathing waters. On the other hand, monitoring of inland bathing waters is relatively new and includes a much smaller number of sites (41) compared to coastal waters (894). The aim of this paper was to summarize and analyze the water quality of inland and coastal bathing sites of Croatia, closer regions (non-EU Member States) and in the EU for the last decade. The share of excellent water quality in EU Member States increased by 10.1% and 6.6% for inland and coastal waters, respectively (2011–2020). Germany recorded the highest proportion of excellent water quality for inland waters (92.2%) and Cyprus for coastal waters (99.3%). Looking at the 10-year average of the proportion of bathing waters with excellent quality, the proportion of coastal bathing sites exceeds that of inland waters by 7.1%. It is clear that additional efforts should be made to improve the management and monitoring of inland waters.

Food fears will add to insecurities in eastern EU

2017 ◽  
Keyword(s):  
Eastern Europe ◽  
Member States ◽  
Content Type ◽  
Eu Member States ◽  
Central Eastern Europe ◽  
The World ◽  
Central Eastern ◽  
East West ◽  
The Eu

Subject Alleged discrepancies between the quality of foods on sale in the western and eastern EU. Significance Governments in eastern EU member states are recycling long-heard rumours that multinational food brands sold there are of poorer quality than in western states. Tests by some national authorities appear to confirm these fears. Such practices would not be illegal, but they exacerbate broader worries about second-class citizenship in Central-Eastern Europe (CEE), compounded by uncertainty over the direction the EU will take in coming months. Impacts The east-west divide will deepen as a new front is opened ahead of a likely EU reform push later this year. CEE’s political significance will receive a momentary boost as countries show a united front on one of only a handful of issues. A reaction against multinationals from within the EU could make protectionism more respectable elsewhere in the world.

Quality of data on trade in goods between European Union member states

2020 ◽  
Vol 64 (1) ◽  
pp. 7-19
Author(s):  
Iwona Markowicz ◽  
Paweł Baran
Keyword(s):  
Foreign Trade ◽  
Quality Of Data ◽  
Member States ◽  
Eu Member States ◽  
Discrepancy Measures ◽  
Using Data ◽  
Assess Quality ◽  
Data Discrepancy ◽  
European Union Member States

The objective of presented analysis is to assess quality of data on foreign trade within the Union. Data from Eurostat’s COMEXT database was used. The differences between declared export quantities of foods from a given country and data on imports from this country to other member states gathered by Eurostat have been analyzed. These differences partly result from the adopted statistical thresholds and reflect the quality of the collected data. The authors have compared EU member states based on convergence of data on dispatches and arrivals of goods from each country. Using data discrepancy measures member states were ranked with regard to statistical data quality, which is an innovation in foreign trade research.

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