scholarly journals The Efficiency of Financing the Regional Smart-Specialization Strategies’ Implementation from the EU Structural Funds

2021 ◽  
Vol 10 (2) ◽  
pp. 241
Author(s):  
Iryna Storonyanska ◽  
Maryana Melnyk ◽  
Iryna Leshchukh ◽  
Svitlana Shchehlyuk ◽  
Tetyana Medynska
Keyword(s):  
Inverse Correlation ◽  
Financial Resources ◽  
Eu Member States ◽  
Structural Funds ◽  
Regional Basis ◽  
Eu Structural Funds ◽  
Per Capita ◽  
Smart Specialization ◽  
The Empirical Analysis ◽  
The Eu

The paper provides the empirical analysis of the efficiency of financing the regional smart-specialization strategies’ implementation from the structural funds in the context of its impact on the improvement of economic wellbeing and prevention of growing regional misbalances in the EU at the NUTS 2 level. It verifies the inverse correlation between the GRP volumes per capita in the EU Member States and the volumes of funding of the smart-specialization activities. The financial resources of the EU structural funds for the implementation of the regional smart-specialization strategies are established to be distributed on a regional basis and to be showing the signs of the aligning policy, which is a reasonable tactic from the viewpoint of the need to secure the balanced spatial development. However, the paper emphasizes that the less developed regions aren’t able to fully generate powerful innovations that would boost the economic activity in the smart-specialization domains yet.

scholarly journals The allocation of financial resources of the EU Structural Funds and Cohesion Fund during the period 2007–2013

2011 ◽  
Vol 57 (No. 2) ◽  
pp. 49-56
Author(s):  
W. Heijman ◽  
T. Koch
Keyword(s):  
Financial Resources ◽  
Gdp Per Capita ◽  
Member States ◽  
The Real ◽  
Eu Member States ◽  
Structural Funds ◽  
Cohesion Fund ◽  
Eu Structural Funds ◽  
Per Capita ◽  
The Eu

The article describes a model to predict the allocation of the EU Structural Funds and the Cohesion Fund over the EU member states. By comparing the predicted allocation with the real allocation, it is possible to indicate which member states receive more and which countries receive less than the predicted share. The variables determining the predicted allocation are the GDP per capita and the size of the population.

Slovenia's window of opportunity to reform is closing

2016 ◽  
Keyword(s):  
Risk Premium ◽  
Quantitative Easing ◽  
Content Type ◽  
Structural Funds ◽  
Debt Burden ◽  
Structural Problems ◽  
Real Value ◽  
Eu Structural Funds ◽  
Per Capita ◽  
The Eu

Significance The economy has been growing respectably, helped by rising exports, inward foreign direct investment (FDI), the ECB's quantitative easing and large inflows of EU structural funds. However, the current government, like its predecessors, has failed to complete fixing such deep-seated structural problems as high indebtedness, excessive taxation and an oversized, inefficient state. Impacts Slowing growth will put Slovenia further behind in GDP per capita terms -- it fell from 91% of the EU average in 2008 to just 83% in 2014. Combined with low inflation, low growth will freeze the real value of Slovenia's debts and perpetuate its onerous debt burden. Slovenia will pay a heavy risk premium on its borrowing, which in March was 180 bp above Austria and 210 bp above Slovakia.

scholarly journals R&D expenditure and thematic orientation of European investment in selected new EU member states / Výdaje na výzkum a vývoj a tematické zaměření evropských investic ve vybraných nových členských státech EU

Ergo ◽  
2015 ◽  
Vol 10 (1) ◽  
pp. 11-21
Keyword(s):  
Member States ◽  
The Czech Republic ◽  
New Member States ◽  
Eu Member States ◽  
Structural Funds ◽  
Research And Innovation ◽  
Eu Structural Funds ◽  
Programming Period ◽  
European Investment ◽  
The Eu

Abstract During the programming period 2007-2013, the Structural Funds represented an important source of funds for research, development and innovation in the new member states of the EU. The article compares thematic focus of the EU Structural Funds support to this area (according to the categories of expenditure set by the EU legislation) in five countries with common historic experience - Czechia, Slovakia, Poland, Hungary and Slovenia. The aim is to identify different approaches of individual states to finance research and innovation from the EU funds, also related to the development and structure of R&D expenditure, analysed in the first part of the text. The states in question have selected diverse strategies to invest European resources in research and innovation, particularly concerning the proportion of investment in research infrastructures to investment in research, innovation and related activities in business sphere. According to this comparison with the other examined countries, the Czech Republic is characterized by the highest orientation at spending the EU funds on the construction of research infrastructure.

scholarly journals Impact of Investment Sources for Sustainability on a Country’s Sustainable Development: Evidence from the EU

2020 ◽  
Vol 12 (6) ◽  
pp. 2421 ◽  
Author(s):  
Indre Lapinskaite ◽  
Viktorija Skvarciany ◽  
Patrikas Janulevicius
Keyword(s):  
Sustainable Development ◽  
Positive Impact ◽  
The European Union ◽  
Financial Investment ◽  
Eu Countries ◽  
Eu Member States ◽  
Structural Funds ◽  
Country Level ◽  
Eu Structural Funds ◽  
The Eu

All countries face several issues while running the process of sustainable development—the absence of a uniform means of sourcing investment for sustainable development and the lack of a unified index for the evaluation of sustainable development. No doubt, ensuring sustainable development requires constant financial investments. Hence, it is essential to examine the investment sources for sustainable development at the country level and to comprehend if the current financial investment has a direct impact on the results of a country’s sustainable development. The article aims at identifying the financing sources for sustainable development for each of the European Union (EU) countries and assessing their impact on each of the EU countries’ sustainable development, which is expressed as the Integrated Sustainable Development Index (ISDI). After the detailed analysis of investment sources for the sustainability of the EU countries, two sources of investment, assignation of budget and the EU structural funds, were selected, and ISDI calculation was applied for twenty-five of the EU member states for the period 2003–2017. Correlation analysis (using SPSS software) helped to identify the strength of the connection and to select countries for the Johansen Cointegration Test (using Eviews software) in order to determine how variables interact. The results show that the combination of the assignation of budget and the EU structural funds has a positive impact on the coherence of five (Czech Republic, Denmark, Spain, Slovenia, and Austria) out of twenty-four countries.

scholarly journals The main achievements of the EU structural funds 2007–2013 in the EU member states: efficiency analysis of transport sector

Equilibrium ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 285-306 ◽  
Author(s):  
Lukáš Melecký
Keyword(s):  
Efficiency Analysis ◽  
Lower Amount ◽  
Transport Sector ◽  
Cohesion Policy ◽  
Member States ◽  
Development Fund ◽  
Eu Member States ◽  
Structural Funds ◽  
Eu Structural Funds ◽  
The Eu

Research background: The European Union currently provides financial support to the Member States through various financial tools from European Structural and Investment Funds 2014–2020, and previously from the EU Structural Funds. In both terminologies, the funds represent the main instrument of EU Cohesion Policy to sustain territorial development, to increase competitiveness and to eliminate regional disparities. The overall impact of EU Funds depends on the structure of funding and absorption capacity of the country. Purpose of the article: The efficiency of funding across the EU Member States is a fundamental issue for EU development as a whole. The Author considers deter-mining the efficiency of EU Funds as an issue of high importance, and therefore this paper provides a contribution to the debate on the role of EU Cohesion Policy in the Member States. The paper focuses on territorial effects of relevant EU Funds in programming period 2007–2013 in infrastructure through efficiency analysis. Methods: Efficiency analysis is based on data at the country level, originating from ex-post evaluation of Cohesion Policy programmes 2007–2013 and representing the input and output variables to analyse whether the goal of fostering growth in the target countries have been achieved with the funds provided, and whether or not more resources generated stronger growth effects in transport accessibility. The paper deals with comparative cross-country analysis, descriptive analysis of dataset and multiple-criteria approach of Data Envelopment Analysis (DEA) in the form of output-oriented BCC VRS model of efficiency and output-oriented APM VRS subsequently model of super-efficiency. Findings & Value added: The paper aims to test the factors of two inputs and five outputs, trying to elucidate the differences obtained by the Member States in effective use of the European Regional Development Fund and the Cohesion Fund in the transport sector. The paper determines if the countries have been more efficient in increasing their levels of competitive advantages linked with transport. Preliminary results reveal that most countries with a lower amount of funding achieve higher efficiency, especially countries in a group of so-called “old EU Member States”, i.e. group EU15.

scholarly journals A Clash between the Business and Political Climates in Sweden – Gender in the European Structural Fund Partnerships

2011 ◽  
Vol 18 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Mona Hedfeldt ◽  
Gun Hedlund
Keyword(s):  
Women Entrepreneurs ◽  
Financial Resources ◽  
Structural Fund ◽  
Development Fund ◽  
Structural Funds ◽  
European Regional Development Fund ◽  
Eu Structural Funds ◽  
European Regional ◽  
Gain Access ◽  
The Eu

In this paper we highlight and discuss a Swedish equality paradox in two different spheres: entrepreneurship and politics. We focus on the EU Structural Funds and women entrepreneurs' access to resources through the European Regional Development Fund (ERDF). Combining human geography and political science, we draw upon network and partnership theory posing questions concerning the room for manoeuvre for women entrepreneurs to gain access to relevant networks, to create new networks in order to establish relations with EU related partnerships, and to gain access to the process of allocating EU structural fund financial resources.

scholarly journals Inequalities in the European Union—A Partial Order Analysis of the Main Indicators

2021 ◽  
Vol 13 (11) ◽  
pp. 6278
Author(s):  
Lars Carlsen ◽  
Rainer Bruggemann
Keyword(s):  
Indicator System ◽  
Partial Ordering ◽  
Disposable Income ◽  
The European Union ◽  
Member States ◽  
Eu Member States ◽  
Per Capita ◽  
Educational Aspect ◽  
The Eu

The inequality within the 27 European member states has been studied. Six indicators proclaimed by Eurostat to be the main indicators charactere the countries: (i) the relative median at-risk-of-poverty gap, (ii) the income distribution, (iii) the income share of the bottom 40% of the population, (iv) the purchasing power adjusted GDP per capita, (v) the adjusted gross disposable income of households per capita and (vi) the asylum applications by state of procedure. The resulting multi-indicator system was analyzed applying partial ordering methodology, i.e., including all indicators simultaneously without any pretreatment. The degree of inequality was studied for the years 2010, 2015 and 2019. The EU member states were partially ordered and ranked. For all three years Luxembourg, The Netherlands, Austria, and Finland are found to be highly ranked, i.e., having rather low inequality. Bulgaria and Romania are, on the other hand, for all three years ranked low, with the highest degree of inequality. Excluding the asylum indicator, the risk-poverty-gap and the adjusted gross disposable income were found as the most important indicators. If, however, the asylum application is included, this indicator turns out as the most important for the mutual ranking of the countries. A set of additional indicators was studied disclosing the educational aspect as of major importance to achieve equality. Special partial ordering tools were applied to study the role of the single indicators, e.g., in relation to elucidate the incomparability of some countries to all other countries within the union.

Academic engagement with small business and entrepreneurship: Towards a landscape of practice

2021 ◽  
pp. 095042222110344
Author(s):  
Oswald Jones
Keyword(s):  
Small Business ◽  
Community Of Practice ◽  
Academic Engagement ◽  
Business Owners ◽  
Business Research ◽  
Structural Funds ◽  
Core Concepts ◽  
Eu Structural Funds ◽  
The Uk ◽  
The Eu

Academic engagement with small business and entrepreneurship was facilitated by the availability of European Union (EU) funding, which also stimulated the emergence of a small business and entrepreneurship (SBE) ‘community of practice’. Gradually, the SBE community developed into a ‘landscape of practice’ as small business research moved towards maturity. Furthermore, the SBE landscape of practice has coalesced around three core concepts: entrepreneurial learning, social networks and social capital. EU funding was the catalyst for many SBE academics in the UK to engage with practitioners involved with starting and managing their own businesses. The UK’s exit from the EU will inevitably mean that universities will no longer have access to EU Structural Funds. This has major implications for the UK SBE community’s engagement with practice as well as for entrepreneurs and business owners who have benefitted from a range of programmes designed to improve the performance of smaller firms.

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