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In recent decades, attention to environmental resource management has increased worldwide. Circular economy (CE) is a concept that is increasingly being considered as a solution to this range of challenges. Therefore, it is important to monitor the development of CE. This research is an attempt to contribute to the CE surveillance literature by providing a framework for comparing the positions of states and their classifications. The main goal of the article is to assess the level of circular economy development in EU countries according to the chosen methodology. The indicators used in this study are sourced from the European Commission Monitoring Framework database, which includes data from 27 European Union (EU) countries over the time frame from 2016 to 2020. The analysis was carried out using Multi-Criteria Decision Methods (MCDM), such as Simple Additive Weighing (SAW), and the objective method of estimating weights in accordance with proportional differences (APROD), which helped to assess the state of CE. The results showed that EU countries can be divided into three groups based on the level of performance of the CE, and their level of development in relation to the circular economy is different. The level of circular economy development in most EU countries is low. Germany, the Netherlands, France, and Italy demonstrated the best positions. The study findings were derived from the combination of two MCDMs, thus increasing the refinement of the overall methodology. Doi: 10.28991/ESJ-2024-08-02-013 Full Text: PDF

CEL NAUKOWY: Celem artykułu jest identyfikacja wpływu pandemii ­COVID-19 na modele biznesu przedsiębiorstw sektora MŚP w Polsce.
PROBLEM I METODY BADAWCZE: Problemem badawczym jest analiza zmian w modelach biznesu przedsiębiorstw sektora MŚP w Polsce w związku z pandemią COVID-19. Zastosowana w artykule koncepcja badawcza opierała się na studiach literaturowych dotyczących istoty modeli biznesu i wpływie kryzysów na ich kształt oraz badaniach jakościowych, przy wykorzystaniu metody studium przypadku, pozwalających zdiagnozować zmiany w elementach modeli biznesu dokonanych pod wpływem pandemii COVID-19.
PROCES WYWODU: W pierwszej części rozważań przedstawiono istotę modelu biznesu i elementy go strukturyzujące według różnych koncepcji. Następnie zaprezentowano wyniki badań dotyczące zmian w elementach modeli biznesu zgodnie ze strukturą Business Model Canvas. Uzyskane wyniki pozwoliły na określenie sposobów reagowania na kryzys wywołany pandemią COVID-19 oraz ocenę elastyczności dostosowawczej badanych przedsiębiorstw.
WYNIKI ANALIZY NAUKOWEJ: Zmiany w elementach modeli biznesu badanych przedsiębiorstw miały charakter zarówno ilościowy, jak i jakościowy. Ilość i głębokość wprowadzanych zmian w dużej mierze zależała do sektora, w którym prowadziło działalność przedsiębiorstwo. Najwięcej zmian przedsiębiorstwa dokonały w elementach: segmenty klientów, struktura przychodów, partnerzy przedsiębiorstwa. Modyfikacje modeli biznesu miały charakter selektywny.
WNIOSKI, INNOWACJE, REKOMENDACJE: Przedsiębiorstwa sektora MŚP nie działając w skali porównywalnej do dużych przedsiębiorstw, część zmian w swoich modelach biznesu wprowadziły nie jako skutek strategii długofalowej, lecz w reakcji na bieżącą potrzebę. Wprowadzane zmiany często nie były spójne, co jest koniecznym warunkiem uzyskania efektu synergii pomiędzy poszczególnymi elementami.

CEL NAUKOWY: Celem artykułu jest identyfikacja wspólnego obszaru definiowania gospodarki o obiegu zamkniętym i przemysłu 4.0.
PROBLEM I METODY BADAWCZE: Zauważonym problemem badawczym jest rozmycie językowe gospodarki o obiegu zamkniętym i przemysłu 4.0 oraz braku widocznej w debacie publicznej językowej płaszczyzny wspólnej. Badanie zostało przeprowadzone na zbiorze słów kluczowych pozyskanych z baz indeksowanych czasopism naukowych (Web of Science oraz Scopus) i popularnego medium biznesowego i politycznego (Twitter) za pomocą metody indeksu podobieństwa Jaccarda według lat.
PROCES WYWODU: W artykule zaprezentowano teoretyczne podłoże ba‑ dawcze, metodykę i narzędzia badawcze oraz wybrane wyniki dla analizowanych pojęć.
WYNIKI ANALIZY NAUKOWEJ: Wyniki wykazały, że istnieje wspólny Analiza słów kluczowych wykazała, że pomimo statystycznie niskiego wyniku ko‑ notacja słów pozostawia przestrzeń do kreacji rozwiązań wspólnych dla obu pojęć.
WNIOSKI, INNOWACJE, REKOMENDACJE: Wspólna płaszczyzna semantyczna dla obu pojęć daje możliwość wprowadzenia ich do debaty publicznej, umożliwiając tym samym opracowywanie polityk krajowych łączących gospodarkę o obiegu zamkniętym (GOZ) z przemysłem 4.0, co wydaje się być słuszną odpowiedzią na potrzeby społeczne, środowiskowe i ekonomiczne związane z pandemią COVID 19. Dalsze badania powinny koncentrować się w szczególności na pogłębianiu jakościowej analizy debaty publicznej. Dostrzega się również luki badawcze w obszarach: badań relacji pomiędzy publikacjami naukowymi a Twitterem, wzorców opóźnień występowania słów kluczowych w obu zbiorach, wzajemnego wpływu trendów, analizy słów kluczowych pod względem przestrzennym i czasowym.

This empirical study investigates the determinants of self-employment propensity of Polish and Romanian immigrants in Germany. The German economy is an important object of analysis, as it is the most important destination for international migrants in the European Union. In the paper, we use the recently collected M sample of the German Socio-Economic Panel to examine which personal, country of birth-specific socio-economic and cultural factors influence the self-employment propensity of immigrants. The results of binominal logit regression show that the Central European migrants exhibit different self-employment propensity than migrants from former Yugoslavia, Russian and Kazakhstan, Turkey and Italy, with the self-employment aversion especially strong among Romanians. These differences remain substantial even after controlling for social and human capital endowment of the individuals. This study offers important policy recommendations, showing the potential obstacles in encouraging entrepreneurial activity of immigrants. This topic is becoming increasingly important with the current migration crisis in the EU, caused by intensive inflow of asylum-seeking foreigners in 2015.

This empirical study investigates the determinants of self-employment propensity of Polish and Romanian immigrants in Germany. The German economy is an important object of analysis, as it is the most important destination for international migrants in the European Union. In the paper, we use the recently collected M sample of the German Socio-Economic Panel to examine which personal, country of birth-specific socio-economic and cultural factors influence the self-employment propensity of immigrants. The results of binominal logit regression show that the Central European migrants exhibit different self-employment propensity than migrants from former Yugoslavia, Russian and Kazakhstan, Turkey and Italy, with the self-employment aversion especially strong among Romanians. These differences remain substantial even after controlling for social and human capital endowment of the individuals. This study offers important policy recommendations, showing the potential obstacles in encouraging entrepreneurial activity of immigrants. This topic is becoming increasingly important with the current migration crisis in the EU, caused by intensive inflow of asylum-seeking foreigners in 2015.

The main goal of setting energy efficiency priorities is to find ways to reduce energy consumption without harming consumers and the environment. The renovation of buildings can be considered one of the main aspects of energy efficiency in the European Union (EU). In the EU, only 5% of the renovation projects have been able to yield energy‐saving at the deep renovation level. No other study has thus far ranked the EU member states according to achieved results in terms of increased usage in renewable sources, a decrease in energy usage and import, and reduc‐ tion in harmful gas emissions due to energy usage. The main purpose of this article is to perform a comparative analysis of EU economies according to selected indicators related to the usage of renewable resources, energy efficiency, and emissions of harmful gasses as a result of energy usage. The methodological contribution of our study is related to developing a complex and robust research method for investment efficiency assessment allowing the study of three groups of indi‐ cators related to the usage of renewable energy sources, energy efficiency, and ecological aspects of energy. It was based on the PROMETHEE II method and allows testing it in other time periods, as well as modifying it for research purposes. The EU member states were categorized by such criteria as energy from renewables and biofuels, final energy consumption from renewables and biofuels, gross electricity generation from renewables and biofuels and import dependency, and usage of renewables and biofuels for heating and cooling. The results of energy per unit of Gross Domestic Product (GDP), Greenhouse gasses (GHG) emissions per million inhabitants (ECO2), energy per capita, the share of CO2 emissions from public electricity, and heat production from total CO2 emissions revealed that Latvia, Sweden, Portugal, Croatia, Austria, Lithuania, Romania, Denmark, and Finland are the nine most advanced countries in the area under consideration. In the group of the most advanced countries, energy consumption from renewables and biofuels is higher than the EU average.

The main goal of setting energy efficiency priorities is to find ways to reduce energy consumption without harming consumers and the environment. The renovation of buildings can be considered one of the main aspects of energy efficiency in the European Union (EU). In the EU, only 5% of the renovation projects have been able to yield energy‐saving at the deep renovation level. No other study has thus far ranked the EU member states according to achieved results in terms of increased usage in renewable sources, a decrease in energy usage and import, and reduc‐ tion in harmful gas emissions due to energy usage. The main purpose of this article is to perform a comparative analysis of EU economies according to selected indicators related to the usage of renewable resources, energy efficiency, and emissions of harmful gasses as a result of energy usage. The methodological contribution of our study is related to developing a complex and robust research method for investment efficiency assessment allowing the study of three groups of indi‐ cators related to the usage of renewable energy sources, energy efficiency, and ecological aspects of energy. It was based on the PROMETHEE II method and allows testing it in other time periods, as well as modifying it for research purposes. The EU member states were categorized by such criteria as energy from renewables and biofuels, final energy consumption from renewables and biofuels, gross electricity generation from renewables and biofuels and import dependency, and usage of renewables and biofuels for heating and cooling. The results of energy per unit of Gross Domestic Product (GDP), Greenhouse gasses (GHG) emissions per million inhabitants (ECO2), energy per capita, the share of CO2 emissions from public electricity, and heat production from total CO2 emissions revealed that Latvia, Sweden, Portugal, Croatia, Austria, Lithuania, Romania, Denmark, and Finland are the nine most advanced countries in the area under consideration. In the group of the most advanced countries, energy consumption from renewables and biofuels is higher than the EU average.