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Wyświetlanie 1-4 z 4
Tytuł:
Finansowanie ryzyka start-upów z wykorzystaniem ubezpieczeń
Financing start-up risk with using insurance
Autorzy:
Pukała, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/583145.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
ryzyko
finansowanie ryzyka
start-up
przedsiębiorstwo innowacyjne
ubezpieczenie
risk
risk financing
innovative company
insurance
Opis:
Celem opracowania jest analiza możliwości wykorzystania ubezpieczeń jako instrumentu finansowania skutków materializacji ryzyka start-upów. Współczesna gospodarka w coraz większym stopniu bazuje na nowych technologiach i innowacjach, uważanych za kluczowe czynniki wzrostu konkurencyjności i rozwoju gospodarczego. Podmiotami mającymi w tym procesie coraz większą rolę są start-upy. Należą one do grupy przedsiębiorstw, których funkcjonowanie jest obarczone wysokim ryzykiem działalności. Oznacza to, że powinny one zwracać uwagę na narzędzia zarządzania ryzykiem i wykorzystywać instrumenty jego finansowania. Wykazano, iż optymalnym sposobem finansowania ryzyka działalności tych przedsiębiorstw są ubezpieczenia. Jednak, ze względu specyfikę działalności start-upów oraz dużą zmienność ryzyka w czasie, możliwości wykorzystania ubezpieczeń są istotnie ograniczone, co wymusza na tego typu przedsiębiorstwach konieczność poszukiwania innych, pozaubezpieczeniowych instrumentów ograniczania ryzyka działalności
The study aims at analysing possibilities of using insurance as an instrument to finance the effects of start-up risk materialization. Contemporary economy is to an ever greater extent based on new technologies and innovations that are perceived as key factors behind increased competition and economic development. Start-ups are entities that are playing an ever greater role in this process. They belong to a group of enterprises whose business activity, is burdened by a high level of risk. This means that in their operation they should pay attention to risk management tools and use risk financing instruments. The conducted studies indicated that insurance was the most optimal method of financing business risk for these enterprises. However, due to their specificity and high changeability of risk over time, possibilities of using insurance are limited, which forces these entities to look for other, non-insurance risk limiting instruments.
Źródło:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu; 2018, 541; 235-244
1899-3192
Pojawia się w:
Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficiency of insurance companies in the Czech Republic and Poland
Autorzy:
Grmanová, Eva
Pukala, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/18797289.pdf
Data publikacji:
2018
Wydawca:
Instytut Badań Gospodarczych
Tematy:
efficiency
efficiency score
insurance companies
Data Envelopment Analysis
Tobit analysis
Opis:
Research background: The insurance market is an important part of the financial system. The international concept of insurance operations brings certainty and helps to balance the economic results. Purpose of the article: The aim of the paper is to compare  the efficiency of life insurance of commercial insurance companies in the Czech Republic and Poland using the Data Envelopment Analysis model (DEA). Methods: The methods used in the paper are descriptive statistics, DEA model and Tobit regression model. DEA models are nonparametric quantitative models for efficiency assessment. They use linear programming to transform multiple inputs into multiple outputs. The efficiency of the subjects analyzed is assessed based on the efficiency scores.  Findings & Value added: The subject of our analysis was 17 commercial insurance companies in the Czech Republic and 26 commercial insurance companies in Poland. Ten insurance companies were efficient on the common Czech-Polish insurance market. The share of efficient insurance companies was approximately equal. The arithmetic mean of the efficiency scores was higher in Poland than in the Czech Republic. The variability of the efficiency scores of Czech insurance companies was greater than the variability of the efficiency scores of Polish insurance companies. The  correlations with efficiency score as the dependent variable and with market share as the independent variable of Tobit regression were very low.
Źródło:
Oeconomia Copernicana; 2018, 9, 1; 71-85
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimisation of structural parameters of the industry by the criterion of product innovation
Autorzy:
Ishchuk, Svitlana
Sozanskyy, Luybomyr
Pukała, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/2086451.pdf
Data publikacji:
2021
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
industry
efficiency
product innovation
production
models
structure
optimisation
przemysł
wydajność
innowacje produktowe
produkcja
modele
struktura
optymalizacja
Opis:
The industrial sector of the Polish economy plays an important role in ensuring the socio-economic development of the country. The Polish industry accounts for 24.1 % of the country’s employed population and 25.1 % of the GVA. The article aims to model the structural parameters of the Polish industrial sector according to the criterion of increasing product innovation level based on a comprehensive assessment of the Polish industry performance in the regional context. The offered method focuses on estimating the industrial sector at the macro and meso levels using a set of indicators for investment, innovation, labour activity, and profitability. Correlation-regression analysis methods were used to prove hypotheses about the impact of product innovation on employment and wages in the industry. To optimise the structure of the Polish industrial sector, an economic-mathematical model was developed, which was solved using the linear programming method. The target functionality of this model is the level of product innovation, at which the gross average monthly wage of Polish industry workers will double (to the EU average). The simulation results, which was based on data from the Central Statistical Office of Poland, provide an analytical basis for selecting industrial policy benchmarks for Poland.
Źródło:
Engineering Management in Production and Services; 2021, 13, 3; 7--24
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimisation of the relationship between structural parameters of the processing industry as a way to increase its efficiency
Autorzy:
Ishchuk, Svitlana
Sozanskyy, Luybomyr
Pukała, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/125549.pdf
Data publikacji:
2020
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
processing industry structure
efficiency
gross value added
share of output
share of imports
intermediate consumption
optimisation
struktura przemysłu przetwórczego
wydajność
dodana wartość brutto
udział w produkcji
udział importu
zużycie pośrednie
optymalizacja
Opis:
Industry, which on average accounts for about 60% of commodity exports in the EU-28, with over 58% resulting from the processing industry, plays a key role in ensuring the competitiveness of EU countries. The article aims to simulate the influence of structural processing industry parameters on the industry’s efficiency. Correlation methods and the regression analysis were used to substantiate the hypotheses regarding the effect that the share comprised of high-tech and medium-high-tech industries has on the output structure, and the impact made by the share of imports in the intermediate consumption of those industries on the efficiency (the share of gross value added (GVA) in output) of the processing industry. Based on the criteria indicating the increased technological level and reduced import dependence, economic and mathematical models of optimisation were created for the output structure and intermediate consumption of the processing industry, which were then solved using the linear programming method. The authors present the mathematical proof of the relationship between the change in structural parameters (shares of high-tech and medium-tech industries and the share of imports in the structure of their intermediate consumption) of the processing industry and the ratio of the gross value added/output. The results of the simulation, which were based on data from the European Statistical Office and the Organization for Economic Cooperation and Development, provide an analytical basis for selecting industrial policy benchmarks.
Źródło:
Engineering Management in Production and Services; 2020, 12, 2; 7-20
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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