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EN
Purpose: the main purpose of this paper is to analyse the new infrastructure project in western Ukraine, show its main characteristics and to forecast how it will improve the socio-economic life of this region and how it will rise tourist flows in cross-border territories. Design/methodology/approach: The Small Carpathian Circle was chosen as it is the biggest infrastructure project in western Ukraine that covers three oblast (regions) of Ukraine and will have a cross-border impact. Literature sources, statistical information and estimates data used in this paper were gathered from various international and Ukrainian official sources and websites. Personal knowledge about Carpathian region was also used as the author comes from Lviv oblast of Ukraine. Findings: the outcome of this paper is that the Small Carpathian Circle has to be implemented in the nearest future in order to provide the efficient mobility in Carpathian region of Ukraine on the basis of sustainable development. The main reasons for its slow implementation in 2022 were highlighted. Originality/value: it is the first research paper about the Small Carpathian Circle, as it wasn’t analysed properly by scientists yet. It is addressed to a scientific circle, politicians, investors, international organisations and all people interested in Carpathian region development.
EN
This article provides a cluster analysis of existing technoparks, the sample of which was built according to the completeness of the data presented on the official websites of the Ministry of Industry and Trade of the Russian Federation and the terms of operation. The analysis is carried out in order to determine the best components of the effectiveness of the development of the technopark movement in Russia. According to the analysis of this article, we can talk about a weak relationship between the three sub-indices: the activities of the management company, the activities of residents, the activities of regional authorities. The obtained data can serve as a starting base for further construction of an econometric model of the efficiency factors of technoparks.
EN
Currently, foreign direct investment (FDI) is considered the most important factor of regional development in the world, as it significantly influences the functioning of regional economic structures and the degree of their use, which is particularly noticeable in some countries, including Poland. In the global economy, most FDI is located in highly developed countries. However, for several years, there has been an increase in the inflow of FDI to developing countries, among them Poland, which has become one of the largest recipients of foreign capital from among the countries of Central and Eastern Europe. In the report Investor’s Guide - Poland - How to do business (2017), it was emphasised that Poland’s accession to the European Union opened the Polish market to foreign enterprises and created favourable conditions for investing in Poland. Therefore, the aim of this article is to present the regional distribution of foreign direct investment in Poland, with a particular view to presenting differences in the volume of foreign direct investment inflows to individual Polish regions and what conditions them. In the statistical analysis, the determinants of FDI inflow to Poland between 2010 and 2017 referred to selected macroeconomic indicators that allow the foreign investor to determine the level of economic stability of a country or region. This choice was based on literature and own research on the investment attractiveness of a country and the determinants of FDI inflow. The empirical part of the article was prepared on the basis of GUS statistical data. This source of data was opted for, as it enabled showing FDI engagement by provinces.
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EN
The article presents the possibility of Rusing multi-criteria fuzzy analysis for assessing the region al competitiveness. This estimation can be used for place marketing strategy development and based on results of socio-economic development. The proposed approach is characterized by comparative estimation, when the level of development of one region is determined by the development of other areas. The final evaluation is the level of the cluster which the object being analyzed belongs. This allows ignoring minor fluctuations in Total indexes. The results of robust and fuzzy groups of regions are analyzed. This grouping is characterized by similar levels of development and helps to define the directions of further development of the regions.
PL
Dokonujące się obecnie silne procesy globalizacyjne, umocniły pozycję klastrów jako podstawowego czynnika przyczyniającego się do wzrostu konkurencyjności zarówno gospodarek regionalnych jak i krajowych. Relacje zachodzące pomiędzy uczestnikami klastra, umożliwiają jednoczesne występowanie rywalizacji, jaki i współpracy w niektórych obszarach. Zagadnienie to jest szeroko analizowane w literaturze przedmiotu, w odniesieniu do klastrów przemysłowych. Jednakże w ostatniej dekadzie zjawisko klasteringu można zaobserwować także wśród podmiotów świadczących usługi logistyczne. Celem niniejszego artykułu jest przedstawienie idei tworzenia klastrów w branży TSL. W ramach empirycznej ilustracji zagadnienia w artykule przywołano przykłady europejskich inicjatyw klastrowych takich jak: Waloński Klaster Logistyczny czy Klaster Logistyczny Dolnej Austrii. Na ich tle omówiono przykład „Śląskiego Klastra Logistycznego”.
EN
Strong processes of globalization have strengthened the position of clusters as a basic factor that influences the improvement of the competitiveness of the economies. Relations between members of the cluster have the nature of competition and cooperation. In the literature, this phenomenon is analyzed in the context of industrial clusters. However, in the last decade clusters began to emerge also in the logistics sector. The purpose of this article is to present the idea of creating clusters in TSL sector. As the empirical ilustration in the article were used inter alia: „Cluster of Transportation and Logistics in Wallonia”, „Logistik Cluster Niederösterreich”. Against them were discussed the Polish example „Silesian Logistic Cluster”.
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