Methods for analysis of creative, information and knowledge-based factors in the implementation of the smart specialization model in the EU regions

2020 ◽  
pp. 153-162
Author(s):  
Taras Vasyltsiv ◽  
Olha Levytska

The aim of the article is to study the existing and find new approaches to the analysis of creative, information and knowledge-based factors that determine social transformations and economic growth of the EU regions based on smart specialization. The methodological approaches to the assessment of the implementation of creative, information and knowledge-based factors in the economy are studied. A comparative analysis of international and regional systems for evaluating creative, information and knowledge-based factors of economic growth is made. A system of indicators of the authors’ three-vector approach (by the directions: (1) intellectualization of economy, (2) digitalization of economy and society, (3) technological modernization) to the analysis of creative, information and knowledge-based factors in the realization of the smart specialization model at a regional level are developed. The developed authors’ technique allows providing a comprehensive approach to the analysis of creative, information and knowledge-based factors in terms of the smart specialization model at the regional level. The methodology involves three groups of indicators in the areas of intellectualization, digitalization, and technological modernization. The calculation of the integral index is carried out based on the method of multidimensional weighted value taking into account the degree of the weight of indicators and sub-indices (subgroups and groups of indicators). The scientific novelty of the study is that the integral index allows making important analytical conclusions about the level of development of creative, information and knowledge-based economy, as well as the correlation of these processes with the socio-economic development of regions. The methodological approach can be implemented in domestic practice for evaluating the impact of the use of creative, information and knowledge-based factors on the development of regional economies and, accordingly, for achieving the objectives of regional smart specialization strategies.

2017 ◽  
Vol 16 (2) ◽  
pp. 97-108
Author(s):  
Iwona Kowalska ◽  
Bartosz Banduła

Higher education has become an increasingly knowledge-based sector of the present-day economy. The state faces the issues of financing higher education and assessing the effects of investment in the sector of higher education. The aim of this article is to determine the impact of investment expenditure on higher education (including the resources from the EU funds) on Poland’s economic growth as measured by the GDP growth rate. The research hypothesis of the article is that the economic growth that is caused by investment in higher education with the contribution of the EU funds results in a higher GDP growth than in the case when there is no access to such resources. The results of the research indicate that increased investment in higher education, which was the result of the availability of the EU structural funds, influenced the increase in human capital in Poland and raised its impact on the GDP growth rate.


2021 ◽  
pp. 1295-1308 ◽  
Author(s):  
Taras Vasyltsiv ◽  
Olha Levytska ◽  
Ruslan Lupak ◽  
Oksana Gudzovata ◽  
Marta Kunytska-Iliash ◽  
...  

The article substantiates the relevance and necessity of involving creativity, information and knowledge-based capital while forming and implementing the smart specialization policy of the EU regions. The scientific views on the relationship between the processes of economic growth, the use of creative, information and knowledge approaches, smart-oriented spatial and territorial planning are generalized. A new approach for assessing the creative, information and knowledge determinants of the EU regions’ economy transformations with the use of the multivariate regression analysis, a composite method, and strategic structural and functional design is developed. The scores of the sub-indices of the Global Innovation Index, the Global Talent Competitiveness Index and the World Digital Competitiveness Ranking are selected as the initial parameters of regression analysis. The relationships between these factors and the change in the GDP volume per capita, the share of GDP used for gross investment, high-tech exports, and the Global Quality of Life Index are revealed. The composite indicators of the concentration of creative and digital (ICT) industries in the EU regions are calculated (based on the level of enterprise concentration in an industry, the share of the employed in the field and the share of an industry in the regional economy in terms of wages). The priorities of smart specialization strategies of the EU’s individual regions, which are related to creative, information and knowledge factors, are identified. The calculations have confirmed sufficient closeness of the relationship between the use of creative, information and knowledge factors and the fulfillment of the tasks of smart specialization strategies in the EU regions. The sequence of the formation of tools and means for the implementation of the strategy of the regions’ smart specialization in the context of attraction and effective use of the determinants grouped by three directions (creativitization, digitalization and new knowledge) is presented.


2008 ◽  
Author(s):  
Giuseppe Carone ◽  
Declan Costello ◽  
Nuria Diez Guardia ◽  
Per Eckefeldt ◽  
Gilles Mourre

2018 ◽  
Vol 4 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Oleksii Lyulyov

The main purpose of the study is the role and influence of social factors on macroeconomic stability. The research is based on the hypothesis that countries with greater macroeconomic stability achieve greater social progress. The integrated index of human capital is proposed as a target for the construction of an appropriate system for monitoring social progress, and in the future – identifying the impact on macroeconomic stability. The main stages of estimating the integral index of human capital are: identification of relevant indicators that will form each of the sub-indices; filtering the selected indicators in the previous stage based on the analysis of the correlation matrix of each of the subindices; normalization of indicators in each of the subindices, calculation of the integral index for each of the subindices, calculation of the final integral index of human capital. The calculations of the integrated capital human capital index for some of the EU countries (Latvia, Lithuania, Poland, Croatia, Romania) and Ukraine for the period 2000–2015 allowed us to conclude that Romania and Ukraine were on a marginal level of social progress, while Lithuania, Poland and Croatia in the range of moderate level. The use of the OLS (the least squares) method to determine the significance of changes in social progress to macroeconomic stability has revealed a positive and statistically significant impact of social progress on macroeconomic stability.


2020 ◽  
Vol 1 (2) ◽  
pp. 24-32
Author(s):  
Anastasiia Samoilikova ◽  
Rosen Kunev

This article generalized modern tendencies and actual peculiarities of health care financing. The key aim of the research is to investigate the dynamics of health care financing as a factor of economic growth based on EU countries analysis. Systematization information sources connected with health care financing and its structure indicate that the EU countries analysis of dynamics of health care financing and its impact on economic growth was conducted fragmentary. This issue is still actual both for scholars and policymakers, especially for Ukraine, based on European trends. Investigation in the article is made according to the following stages: 1) introduction and relevance grounding; 2) literary review and identifying the necessity of research in this scientific area; 3) describing methodology, research methods, and current hypothesis; 4) characteristic of research results and confirming the hypothesis of the positive impact of the health care financing on economic growth; 5) making conclusions. Methodological tools of the research methods were structural and comparative analysis, logical generalization, and scientific abstraction. The methods of cross-country statistical and analytical analysis using the Excel 2010 software package for the sample from 14 EU countries for 2009-2018 (limited number of countries and limited data in 2018 relate to the data availability on open website of the EU statistical office) were applied to analyse the structure of health care financing, in particular financing schemes, main providers, and health care functions. The top countries in health care financing were identified. The methods of empirical analysis using the STATA software package for this data sample were used to confirm the hypothesis about the positive impact of the health care financing on economic growth – the GDP per capita. The nature of the analysed indices distribution was estimated based on results of Shapiro-Wilk test. So, Pearson or Spearman correlation coefficient was chosen. The statistical significance and strength of the relationship between the indicators of total expenditure for health care, and in particular government financing and compulsory contributory health care financing, voluntary health care financing, and household out-of-pocket payment for health care and the change of GDP per capita were assessed through a correlation analysis. The time lags of achievement the most statistical significance by this relationship was also identified. The results of the research show that the impact of health care financing on the change of economic growth is very high in 12 from 14 investigated EU countries (with lags of 1–3 years) and high in 2 from 14 countries (with a lag of 1 year). The character of this relationship for the most countries (9 from 14 countries) is direct (positive), and for 5 countries it is inverse (negative). The results of the research will be useful during future fundamental and practical research connected with health care financing and its modelling, for scholars and government officials to reform the health care system and its financial mechanism.


2016 ◽  
Vol 14 (3) ◽  
pp. 493-509 ◽  
Author(s):  
Dejan Ravšelj ◽  
Aleksander Aristovnik

The main purpose of the article is to identify which components of public internal financial control (PIFC), as part of risk management, have been improved by the crisis the most at the regional level, and what is the possible reason for that. During the period 2008–2014, healthcare in the EU and consequently in Slovenia was under the pressure of aggravated circumstances. Therefore, it is important that healthcare organizations, especially regional hospitals, as a main provider of secondary healthcare, have risk management tools in place that prevent risks and provide a reasonable assurance that public funds are being used for the intended purpose. To test which components significantly improved in that period, a paired-samples t-test is performed on a sample of 10 Slovenian regional hospitals. The empirical results show that the components of risk assessment and control activities saw the greatest improvement.


2007 ◽  
Vol 11 (02) ◽  
pp. 279-297 ◽  
Author(s):  
RIFAT A. ATUN ◽  
IAN HARVEY ◽  
JOFF WILD

Empirical evidence demonstrates the value of intellectual property (IP) in creating economic growth, enhancing productivity and profitability, and increasing enterprise value. Research and Development (R&D) intensive industries, such as the life sciences, where patents are critical to competition, need an enabling environment to institutionalise innovation and IP generation and reward investments in IP. The US has approached IP strategically and created an IP infrastructure. Japan aims to develop into an "IP nation". China has an increasingly well-developed IP system. In contrast, the European Union (EU), which aims to become the world's leading knowledge-based economy, has a fragmented and expensive system of national patents. It lacks an environment which values investment in IP generation and management. Until recently, the EU enjoyed global competitive advantage in the life sciences, but this advantage has been lost. To regain this competitive advantage the EU must invest substantially in R&D, IP generation and commercialisation of these outputs.


Equilibrium ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. 593-611 ◽  
Author(s):  
Piotr Wójcik

Research background: Poland and Spain share many common features resulting both from similarities of historical experience, and also cultural, political, socio-demographic factors. Both countries have a similar area, population and GDP structure. They also share historical experience related to political and economic transformation after a long period of non-democratic, centralized governments. Therefore, the experience of Spanish membership in the EU is often considered as a model for Poland. Purpose of the article: The purpose of this research is to perform a comparative empirical analysis of income convergence processes in Poland and Spain on a regional level. We aim to verify if and how these processes are related to one an-other (show similar paths). Special attention is paid to the periods after accession of these countries to the EU. Convergence patterns in both countries are compared with several tools. Methods: Spatial econometric model for absolute beta convergence, sigma convergence indicators and the analysis of distribution dynamics — transition matrices and kernel density estimation. Findings & Value added: The impact on EU accession on income convergence in Spain was positive both at the national and regional level. Regional convergence processes sped-up and interregional disparities decreased. The poorest subregions had relatively high probability to increase their income and catch-up with initially more developed regions. In the first decade after accession to the EU Poland has also achieved a significant improvement of income indicators at the national level. However, empirical analyses of GDP per capita distribution and its dynamics at the regional level in Poland show that the above mentioned progress does not spread out proportionally on all regions. Neither beta nor sigma convergence is observed. Instead, relatively fastest growth of initially richest regions (mostly large cities) introduces convergence of clubs leading to polarization. EU accession has accelerated divergence processes in Poland.


2021 ◽  
Vol 311 ◽  
pp. 06012
Author(s):  
Ekaterina Popova ◽  
Nikolay Strikh

Green investments and principles of circular development have become one of the prominent dimensions of regional development policies. The purpose of this article is to study the impact of green investments on circular economy indicators and contribution of these indicators to economic growth at the regional level. The study examines two key indicators of the circular economy: the share of captured and neutralized emissions into the atmosphere and the share of recycled water in the regional manufacturing systems. To test the proposed hypotheses, methods of regression analysis are used. Gross regional product is used as a predictor of value creation. The empirical base is Rosstat data for the period from 2015 to 2019. The results show that the circular economy indicators do not have a visible impact on economic growth at the regional level, but green investments increase the volume of resources used in circular manufacturing systems. It is probable that in Russian industrial economy, implementation of the circular economy principles is associated only with an increase in costs, which do not provide linear returns at the macroeconomic level.


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