Research background: A given region's investment attractiveness is a set of conditions that depend primarily on the policy of the country that is the recipient of direct foreign investment, encouraging or discouraging foreign investors from making decisions about locating investments in a given area. These conditions include the economic conditions, the infrastructure, the political and legal system, the business environment, and the sociocultural environment. a foreign investor, the motive for exporting capital abroad is the search for benefits that can be derived from the business activity conducted there, including easier entry into new markets. Purpose of the article: The main aim of the paper is to distinguish groups of voivodeships (NUTS 2 level) that are relatively homogeneous in terms of investment attractiveness, which is conducive to the inflow of foreign capital and the implementation of investment projects involving foreign capital. Methods: Distinguishing groups of voivodeships similar to each other in terms of the level of investment attractiveness is made by applying hierarchical cluster analysis. The dendrogram illustrates the hierarchical structure of clusters of similar objects according to the analysed set of variables. The quality of the clustering result is also assessed by determining the silhouette index. Comparative and descriptive analysis of CSO statistics are additional methods used that have contributed to the achievement of the aim of the paper. The research period covers the years 2000?2018. Findings & value added: The investment attractiveness of a voivodeship is closely related to the level of its economic development. Therefore, the following voivodeships are listed at the top of the investment attractiveness rankings: Mazowieckie, Dolnośląskie, Śląskie, Małopolskie, and Pomorskie. The conducted study has confirmed that the creation of special economic zones and the development of regional smart specialisations contribute to the inflow of foreign capital. It is worth noting that the assessment of investment attractiveness is relative. The comparison of the innovative attractiveness of voivodeships is based on the use of the average value, overestimated by cities, i.e. central hubs, attracting investors. The regional perspective on investment attractiveness using multi-dimensional statistical analysis methods is the added value of the article.
The changes that have taken place in the global economy in recent years have testified to a transformation of an industrial economy into a knowledge-based economy, using technological and innovative potential. This transformation has highlighted the competitive advantages of countries and regions specializing in the production of high-tech products. Innovativeness is considered to be one of the most important factors determining the rate and quality of economic growth. Consequently, highly developed countries are conducting research to seek new sources of innovativeness and methods for creating innovative potential. The key determinants of the innovativeness of an economy are expenditure on research and development and the results of R&D efforts embodied in the form of innovations. The article aims to check a theory by Norwegian economist Jan Fagerberg that the technological potential of an economy, expressed as a relation of R&D expenditure to GDP or as a number of patents per capita, determines positively the rate of GDP growth. In the article, the authors analyze the influence of R&D expenditure on GDP per capita in EU countries in 1999-2008. Panel model estimation methods are used in the research. The results of the analysis show that R&D expenditure determines GDP per capita in the studied countries, the authors conclude.
Research background: The choice of the issue of international competitive-ness of economies as the research problem addressed in this paper has been mainly dictated by the changes observed in the nature of the development of EU economies and the need to assess the competitiveness of the Polish economy. It is time to evaluate and learn from the largest enlargement in the history of the EU which took place in May 2004. An assessment of changes in the state of EU economies, including the Polish economy, is in the centre of research interest of many scientists. National competitiveness is the subject of a great deal of research and economic studies. Integration and globalisation processes in the world economy are the main reasons for the popularity of this topic. The efficient use of sources and factors determining the competitiveness of economies, sectors and enterprises is associated with prosperity over the long term. One of the methods based on the observation of selected basic indicators of economic competitiveness is the method of analysis called the macroeconomic stabilisation pentagon. The method illustrates the extent to which the government achieves five macroeconomic objectives. It is very difficult, if not impossible, to meet all these objectives at the same time. The difficulty of meeting all these goals concurrently is due to the fact that they are more or less competitive rather than complementary. The proposed assessment of competitiveness based on the developed model of macroeconomic stabilisation pentagon is a unique approach in terms of discussion of country's competitiveness. This approach significantly distinguishes the current study in comparison with standard international reports on competitiveness such as the Global Competitiveness Index or the EU Regional Competitiveness Index. Purpose of the article: The main aim of the paper is to assess the competitiveness of EU economies in the years 2005-2018, based on a selected set of diagnostic variables referring to the concept of macroeconomic stabilisation pentagon. The paper also formulates a detailed list of four research hypotheses. Methods: In order to characterise the competitiveness of the European Union economies, including the EU-15 and EU-13 groups, as well as the Visegrad group, six diagnostic variables affecting the economic situation of individual EU countries were analysed. The variables for analysis were chosen so as to reliably describe the competitive position of a given country, at the same time referring in a substantive sense to the concept of macroeconomic stabilisation pentagon. The linear ordering of objects was made using the reference Hellwig method. The selected method enabled the development of competitiveness rankings of EU Member States in the years 2005, 2009, and 2018. Findings & Value added: The comparative analysis of the main macroeconomic indicators conducted in the paper forms the basis for assessing the current state of the EU economy in relation to other countries. In the paper, the authors depart from the standard elaboration of 'magic pentagon.' Instead, they apply the variables used in the macroeconomic stabilisation pentagon analysis to develop competitiveness rankings of EU Member States. The con-ducted empirical study has confirmed that the 15th anniversary of EU member-ship had a decidedly positive impact on the level of economic development of the EU-13 countries.
Edukacja jest dziedziną niepodlegającą ujednoliceniu w Unii Europejskiej. Systemy edukacji w krajach UE różnią się między innymi w zakresie: źródeł finansowania, sposobów realizacji edukacji podstawowej, udziału w systemie kształcenia i szkoleń, funkcjonowania szkolnictwa wyższego. Głównym celem prezentowanego badania jest porównanie systemów edukacji w krajach członkowskich UE przy zastosowaniu statystycznych metod porządkowania liniowego obiektów. W niniejszym badaniu przyjęto pogląd o niższej efektywności pojedynczych wskaźników charakteryzujących edukację. W badaniu skoncentrowano się na syntetycznej ocenie edukacji w krajach UE; w tym celu wykorzystano wzorcową metodę klasyfikacji Hellwiga. Takie podejście umożliwiło zbudowanie rankingu i poznanie dystansu dzielącego Polskę od najlepszego (wzorcowego) sytemu edukacji.
EN
Education is a field which is not subject to unification in the European Union. Education systems in the EU countries differ, among others, in terms of: sources of funding, provision of basic education, participation in the education and training system, and functioning of higher education. The main aim of the present study is to compare education systems in EU Member States using statistical methods of linear ordering of objects. The study posits lower effectiveness of individual indicators that characterize education. It is focused on a synthetic evaluation of education in EU countries using Hellwig’s modelling method. This approach makes it possible to prepare a ranking and to determine the distance separating Poland from the best (model) education system.
Research background: Discussions on the state of the economy in times of crisis focus not only on maintaining or improving innovativeness, but also on the emergence of new dimensions of this phenomenon and changing the significance of individual determinants of innovativeness. Innovativeness is a complex, multidimensional and difficult to measure phenomenon, which implies the need to select various indicators and methods for its assessment. Synthetic measures of innovativeness are widely used in comparative analyses, in particular presenting results in international or interregional cross-sections. The degree of innovativeness should also be assessed at different levels of economic aggregation. The lower the level of aggregation, the easier it becomes to capture the specific determinants of the increase in innovativeness of a given area. Purpose of the article: The main aim of the paper is to attempt to measure the relationship between expenditures and results of innovative activities for NUTS-2 regions of the Visegrad Group countries. Three variables were adopted to describe the effects of innovative activity: PCT patent applications per billion GDP (in PPS), trademark applications per billion GDP (in PPS) and public-private co-publications per million of population. Methods: The study covered 37 NUTS-2 regions of the Visegrad Group countries in the years 2014?2021. From the point of view of the purpose of the paper and the need to search for the relationship between expenditures on innovative activity and the results of this activity, it is worth emphasizing that the use of static and dynamic econometric models proved to be a substantively correct solution leading to the formulation of clear conclusions. Findings & value added: The conducted research confirmed that business R&D expenditure on GDP has a positive effect on inventions expressed by patents and trademarks, especially in the long run. In addition, the literature review and empirical analyses indicate that the main determinants of innovativeness (both before and during the pandemic) are the expenditures of economic entities on R&D, competences expressed by the level of education or participation in tertiary education, as well as the number of ICT specialists and the percentage of people employed in science and technology. Despite the deterioration of many macroeconomic indicators in the countries of the Visegrad Group, the expenditures of the business sector on R&D in most regions did not decrease between 2019 and 2021. The added value of the paper is the presented research procedure, which can be used in analyses of innovativeness also for other groups of regions.
Research background: The paper presents the issue of total factor productivity in the manufacturing industry in Poland. It has been assumed that total factor productivity (TFP) is a synthetic measure of efficiency of the production process and a measure of the impact of technical progress on the rate of economic growth. Purpose of the article: The main aim of the paper is to assess the differentiation in the level of total factor productivity (TFP) occurring among the Section C manufacturing divisions in Poland. In particular, the paper raises the issue of measuring and analysing the relationship between expenditure on research and development and the level of TFP in manufacturing divisions in Poland. Methods: In the presented research, the TFP level was determined by using the two-factor Cobb-Douglas production function, while econometric panel models were used to assess the studied relationship. Findings & Value added: The presented considerations show that manufacturing divisions in Poland are diversified in terms of total factor productivity. Generally, manufacturing divisions with high R&D intensity, i.e. divisions classified as so-called high-tech ones, are characterised by a high TFP level. The econometric analysis carried out allows us to conclude that expenditure on R&D incurred in manufacturing enterprises significantly affects the level of TFP.
In contemporary research and economic discussions, a great deal of attention is paid to issues concerning the relationship between competitiveness and research and development (R&D) activity. The measurement and assessment of the impact of R&D activity are extremely difficult but at the same time very important, in particular for authorities determining the level of expenditure on R&D and the method of spending public funds as well as for enterprises assessing the expected profits derived from R&D. The main aim of the article is an attempt to quantify the impact of R&D expenditure on three selected characteristics defining the competitiveness of manufacturing enterprises (gross value added, sold production and labour productivity). The analysis was carried out using panel models. The study makes use of statistical data published by the Central Statistical Office for individual divisions of manufacturing (Section C of the Polish Classification of Activities – PKD) in the years 2009-2016. The conducted analyses indicate that R&D expenditure constitutes a significant determinant of the competitiveness of the analysed divisions of manufacturing.
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