Suchergebnisse

The purpose of the article is to analyse the uniformity of changes over time concerning sustainable development of the European Union. Such analyses are particularly important as the pursuit of sustainable development of the EU countries is one of its strategic developmental objectives. The informational basis of the study were the sustainable development indicators for the years 2009—2014 published by the Eurostat. Vector calculus was used to examine the uniformity of changes. The results of the analysis confirmed significant differences in, both across regions in Europe and EU member countries.

Dynamic changes observed on global markets mainly due to the economic slowdown but also as in the case of Japan the effect of natural disasters, are the main reason for the need to take into account the new operating conditions in global logistics strategies of corporations. They also have a direct impact on decisions concerning the location of foreign investment. One of the factors increasingly influencing the location decisions of investors is the stability of economic development measured not only in relation to that country, but also the entire geographic region. This is particularly important in the case of such political and economic structures like the European Union, bringing together countries with significant differences in levels of development and with different conditions and experiences of functioning. The aim of this study is to analyze the temporal uniformity of indicators which could determine the attractiveness (economic competitiveness), of the European Union as a place for the location of foreign investment. For the study of this temporal uniformity the calculus vector was used. The results confirmed the considerable temporal diversity of development of the analyzed indicators. Presented results are part of a research project called "Management methods in Japanese supply chains in Poland and the UK", funded by the National Science Centre.

Dynamic changes observed on global markets mainly due to the economic slowdown but also as in the case of Japan the effect of natural disasters, are the main reason for the need to take into account the new operating conditions in global logistics strategies of corporations. They also have a direct impact on decisions concerning the location of foreign investment. One of the factors increasingly influencing the location decisions of investors is the stability of economic development measured not only in relation to that country, but also the entire geographic region. This is particularly important in the case of such political and economic structures like the European Union, bringing together countries with significant differences in levels of development and with different conditions and experiences of functioning. The aim of this study is to analyze the temporal uniformity of indicators which could determine the attractiveness (economic competitiveness), of the European Union as a place for the location of foreign investment. For the study of this temporal uniformity the calculus vector was used. The results confirmed the considerable temporal diversity of development of the analyzed indicators. Presented results are part of a research project called "Management methods in Japanese supply chains in Poland and the UK", funded by the National Science Centre. ; Dynamiczne zmiany obserwowane na rynkach światowych związane przede wszystkim ze spowolnieniem gospodarczym, ale również będące, jak w przypadku Japonii efektem katastrof naturalnych, są głównym powodem konieczności uwzględniania nowych warunków funkcjonowania w globalnych strategiach korporacji. Mają one również bezpośredni wpływ na decyzje dotyczące lokalizacji zagranicznych inwestycji. Jednym z czynników coraz bardziej wpływającym na decyzje lokalizacyjne inwestorów jest stabilność rozwoju gospodarki rozpatrywana nie tylko w odniesieniu do danego kraju, ale również całego regionu geograficznego. Jest to szczególnie istotne w przypadku takich konstrukcji polityczno-gospodarczych jak Unia Europejska, skupiających kraje o znacznych różnicach w poziomie rozwoju oraz o odmiennych warunkach i doświadczeniach funkcjonowania. Celem pracy jest analiza jednorodności zmian w czasie wskaźników mogących decydować o atrakcyjności (konkurencyjności gospodarki) Europy jako miejsca dla lokalizacji zagranicznych inwestycji. Do badania jednorodności rozwoju w czasie badanych obiektów społeczno-gospodarczych wykorzystany został rachunek wektorowy. Wyniki badań potwierdziły znaczną niejednorodność rozwoju w czasie analizowanych wskaźników. Przedstawione w pracy rozważania są częścią projektu badawczego pt. "Metody zarządzania w japońskich łańcuchach dostaw w Polsce i Wielkiej Brytanii", finansowanego ze środków Narodowego Centrum Nauki.

The development of clusters seems to be a natural consequence of the observed trends in the global economy. The increased interest in the creation and development of clusters can also be seen in most of the countries of the European Union, however, the experience of EU countries in this field is different. In addition to strong clusters with a long tradition, new clusters are created with much lower potential. Clusters compatible with the most important EU documents are to play the role of organizations supporting regional development and ensuring the growth of innovation of the European Union in the new programming period. Japanese economy is based on the important role of clusters in this area, which along with the US and the European Union is among the largest economies in the world. The experience of Japan in this area is much longer. A lot of still functioning clusters were created in this country in the XVII and XVIII centuries. The aim of this study is a comparative analysis of the socio-economic situation of the European Union and Japan, with special emphasis on the role, that clusters play in those economies. The result of the analysis is to identify the factors that allow for the effective operation of enterprises within created cluster structures. The analysis of Japan's experience in this area is a valuable source of information for policy guidelines developed to support clusters in the EU.

This book presents novel research that represents a multidimensional approach to green energy. Each chapter addresses its subject from diverse perspectives, including financial, technological, and social. The results shown also consider various approaches to the collection and processing of data on green energy. The book also reports on analyses of data from official records and databases, as well as the analysis of primary data obtained directly. The book will be of interest to those working in green energy as well as researchers interested in the methods of scientific research.

The main purpose of this article is the presentation of the relationships of coopetition among the internal stakeholders of a cluster that could contribute to the development of tourism in its area of operation. This analysis is based on the case study of the Historical Tourism Cluster, which operates on the Polish-German border. This article is theoretical and conceptual in nature. In it, the following research methods have been used: a critical analysis of the literature, logical inference, and observation. Currently, clusters are considered to be among the organizations with promising perspectives for development. The EU has decided to support transnational clusters in its latest strategy (after 2020). In this case, the specialization of the cluster (historical tourism) could be an obstacle. However, this article indicates how the cluster described here could make use of the existing development opportunities.

The main purpose of the paper is to present proposals for the study of relationships between the dimensions of sustainable development and other areas of the EU countries' development: innovation and competitiveness both from theoretical and practical perspective. The first part presents the assumptions adopted by the authors, and the second the 2-stage research procedure. In the first stage, the relative taxonomic measure of development was calculated, while in the next one the correlation coefficients between considered dimensions and areas were calculated. According to the authors, in the studies of relationships between sustainable development and other considered areas, one should take into account all of the particular dimensions and areas creating the research phenomena.

Consistent socio-economic development is one of the strategic goals of the European Union (EU) functioning. The research results presented in the literature focus mainly on the comparison of the position occupied by certain EU countries with respect to other member countries. However, it is also important to address the issue of the EU consistency and to assess the extent of development disparities between individual member countries. The aim of the study is a comparative analysis of the disproportions between the EU countries in the area of sustainable development. Sustainable development indicators for the years 2008—2014 available in the Eurostat database were used in the paper. A dynamic version of the relative taxonomy proposed by Stanisław Wydymus was used in the study. The analysis showed that there are strong disproportions in the development of the EU member countries — it turned out that in every geographical region of Europe there are countries with high positions in the ranking, as well as those with low positions. The leader in the whole analysed period was Sweden, with the last place taken by Malta.

One of the most common errors in research on sustainable development is to analyse a set of features describing this development within one set of diagnostic features. Such an approach does not allow for examining the real changes taking place within each area of sustainable development. These changes may have a completely different direction in the case of indicators describing, for example, the economic area or the environmental area of sustainable development. The solution is to consider the indicators separately for each area and then compare the results obtained. In this work, multi‑criteria taxonomy was used for this purpose. The study used indicators published by Eurostat to monitor progress in implementing the Agenda for Sustainable Development 2030 from 2008 and 2016. The results presented in the paper confirmed the considerable diversity of the EU countries in each area of sustainable development and their large heterogeneity.

One of the most common errors in research on sustainable development is to analyse a set of features describing this development within one set of diagnostic features. Such an approach does not allow for examining the real changes taking place within each area of sustainable development. These changes may have a completely different direction in the case of indicators describing, for example, the economic area or the environmental area of sustainable development. The solution is to consider the indicators separately for each area and then compare the results obtained. In this work, multi‑criteria taxonomy was used for this purpose. The study used indicators published by Eurostat to monitor progress in implementing the Agenda for Sustainable Development 2030 from 2008 and 2016. The results presented in the paper confirmed the considerable diversity of the EU countries in each area of sustainable development and their large heterogeneity. ; Jednym z najczęściej popełnianych błędow podczas badań nad zrownoważonym rozwojem jest rozpatrywanie zbioru cech opisujących ten rozwoj w ramach jednego zbioru cech diagnostycznych. Takie podejście nie pozwala na zbadanie rzeczywistych zmian zachodzących w ramach poszczegolnych ładow zrownoważonego rozwoju. Zmiany te mogą mieć zupełnie inny przebieg w przypadku wskaźnikow opisujących np. wymiar gospodarczy czy środowiskowy zrownoważonego rozwoju. Rozwiązaniem jest rozpatrywanie wskaźnikow oddzielnie dla każdego ładu, a następnie porownywanie uzyskanych wynikow. W artykule zastosowano w tym celu taksonomię wielokryterialną. Do badania wykorzystano publikowane przez Eurostat wskaźniki monitorujące postęp we wdrażaniu Agendy na rzecz zrownoważonego rozwoju 2030 z lat 2008 i 2016. Otrzymane wyniki potwierdziły znaczne zrożnicowanie badanych krajow UE w zakresie poszczegolnych ładow i duże ich rozwarstwienie.

One of the most common errors in research on sustainable development is to analyse a set of features describing this development within one set of diagnostic features. Such an approach does not allow for examining the real changes taking place within each area of sustainable development. These changes may have a completely different direction in the case of indicators describing, for example, the economic area or the environmental area of sustainable development. The solution is to consider the indicators separately for each area and then compare the results obtained. In this work, multi‑criteria taxonomy was used for this purpose. The study used indicators published by Eurostat to monitor progress in implementing the Agenda for Sustainable Development 2030 from 2008 and 2016. The results presented in the paper confirmed the considerable diversity of the EU countries in each area of sustainable development and their large heterogeneity. ; Jednym z najczęściej popełnianych błędow podczas badań nad zrownoważonym rozwojem jest rozpatrywanie zbioru cech opisujących ten rozwoj w ramach jednego zbioru cech diagnostycznych. Takie podejście nie pozwala na zbadanie rzeczywistych zmian zachodzących w ramach poszczegolnych ładow zrownoważonego rozwoju. Zmiany te mogą mieć zupełnie inny przebieg w przypadku wskaźnikow opisujących np. wymiar gospodarczy czy środowiskowy zrownoważonego rozwoju. Rozwiązaniem jest rozpatrywanie wskaźnikow oddzielnie dla każdego ładu, a następnie porownywanie uzyskanych wynikow. W artykule zastosowano w tym celu taksonomię wielokryterialną. Do badania wykorzystano publikowane przez Eurostat wskaźniki monitorujące postęp we wdrażaniu Agendy na rzecz zrownoważonego rozwoju 2030 z lat 2008 i 2016. Otrzymane wyniki potwierdziły znaczne zrożnicowanie badanych krajow UE w zakresie poszczegolnych ładow i duże ich rozwarstwienie.