Polymer Degradation and Stability

Elsevier
Elsevier
ISSN: 01413910, 18732321

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SCImago
Q1
WOS
Q1
Impact factor
6.3
SJR
1.089
CiteScore
10.1
Categories
Condensed Matter Physics
Materials Chemistry
Mechanics of Materials
Polymers and Plastics
Areas
Engineering
Materials Science
Physics and Astronomy
Years of issue
1979-2025
journal names
Polymer Degradation and Stability
POLYM DEGRAD STABIL
Publications
10 582
Citations
390 999
h-index
195
Top-3 citing journals
Polymers
Polymers (11899 citations)
Top-3 organizations
Top-3 countries
China (2020 publications)
France (973 publications)
United Kingdom (893 publications)

Most cited in 5 years

Found 
from chars
Publications found: 2
Ocena podstawowych zadań publicznych uczelni akademickich w Polsce
Brzezicki Ł.
Studia Prawno-Ekonomiczne 2021 citations by CoLab: 0  |  Abstract
Przedmiot badań: W ciągu ostatniej dekady w Polsce kilkakrotnie zmieniono system szkolnic­twa wyższego w różnych aspektach, jednak główne obszary działalności pozostawały niemalże bez zmian. Jednak dotychczas, po pierwsze, nie przeanalizowano poszczególnych podstawo­wych zadań uczelni poza trzema głównymi, tj. działalności dydaktycznej, naukowo-badawczej i transferu wiedzy. Po drugie, nie dokonano całościowej oceny stanu ich realizacji w szkolnic­twie wyższym.
 Cel badawczy: W artykule dokonano próby pomiaru zarówno poszczególnych podstawowych zadań publicznych uczelni akademickich w Polsce, zdefiniowanych w ustawie o szkolnictwie wyższym, jak i sprawdzono łączny stan ich realizacji w badanych jednostkach.
 Metoda badawcza: Dokonano rankingu uczelni na podstawie wartości zmiennych przypisanych do poszczególnych zadań szkół wyższych oraz wskaźnika syntetycznego w zakresie łącznego stanu ich realizacji.
 Wnioski: Niekwestionowanymi liderami ogólnego rankingu były następujące uczelnie: Uni­wersytet Warszawski i Uniwersytet Jagielloński w Krakowie. Natomiast najgorszy ogólny wy­nik w rankingu uzyskała Akademia Techniczno-Humanistyczna w Bielsku-Białej i Politechnika Świętokrzyska w Kielcach. Wyniki uczelni w zakresie poszczególnych zadań są zróżnicowane w zależności od badanego obszaru działalności.
The differentiation of economic efficiency within employee-owned companies
Matuszewska-Pierzynka A.
Studia Prawno-Ekonomiczne 2020 citations by CoLab: 0  |  Abstract
Background: The empirical research on the differentiation of economic efficiency within em­ployee-owned companies as measured in terms of sales revenue while minimizing the degree of ownership concentration thematically applies toward evaluating the effectiveness of the direct privatisation method implemented by giving a state-owned enterprise for use against payment.
 Research purpose: The main goal of this article is to empirically verify the research hypothesis, stating that the degree of ownership concentration significantly differentiates the economic effi­ciency of employee-owned companies in terms of sales revenue.
 Methods: The empirical verification of this hypothesis was carried out using the method of Data Envelopment Analysis (DEA), which measures the relative technical efficiency of a given deci­sion-making unit (DMU). Empirical studies were conducted on a group of 13 employee-owned companies from the Mazowieckie Province, which concluded agreements with the State Treasury between the years 2000–2005 and covered a 10-year research period. The analysis of sales reve­nue and the degree of ownership concentration was made on the basis of hand-collected data from documents submitted by surveyed employee-owned companies in the National Court Register in the years between 2002–2017.
 Conclusions: Presented results of the empirical research do not allow for full confirmation of the research hypothesis because employee-owned companies, in which DEA efficiency measures were lower than the average measure for all surveyed companies were characterized by the differ­ent average annual degree of ownership concentration.

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France, 973, 9.19%
United Kingdom, 893, 8.44%
USA, 859, 8.12%
Japan, 736, 6.96%
Italy, 651, 6.15%
Spain, 386, 3.65%
Germany, 345, 3.26%
India, 317, 3%
Egypt, 229, 2.16%
Poland, 219, 2.07%
Australia, 202, 1.91%
Czech Republic, 202, 1.91%
Sweden, 192, 1.81%
Russia, 189, 1.79%
Brazil, 180, 1.7%
Canada, 173, 1.63%
Republic of Korea, 167, 1.58%
Switzerland, 166, 1.57%
Slovakia, 160, 1.51%
Romania, 143, 1.35%
Belgium, 132, 1.25%
Netherlands, 120, 1.13%
Turkey, 99, 0.94%
Hungary, 96, 0.91%
Malaysia, 76, 0.72%
Austria, 75, 0.71%
Iran, 73, 0.69%
Greece, 70, 0.66%
Czechoslovakia, 68, 0.64%
Thailand, 67, 0.63%
Singapore, 61, 0.58%
Bulgaria, 60, 0.57%
USSR, 59, 0.56%
Mexico, 57, 0.54%
Pakistan, 55, 0.52%
Portugal, 45, 0.43%
Saudi Arabia, 41, 0.39%
Argentina, 38, 0.36%
Denmark, 38, 0.36%
Slovenia, 38, 0.36%
Finland, 37, 0.35%
Venezuela, 34, 0.32%
South Africa, 34, 0.32%
Serbia, 30, 0.28%
Croatia, 28, 0.26%
Ukraine, 27, 0.26%
Israel, 26, 0.25%
Algeria, 23, 0.22%
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Belarus, 21, 0.2%
Ireland, 17, 0.16%
Luxembourg, 17, 0.16%
Iraq, 16, 0.15%
Vietnam, 15, 0.14%
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Kuwait, 13, 0.12%
Latvia, 13, 0.12%
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Chile, 12, 0.11%
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Bosnia and Herzegovina, 2, 0.02%
Georgia, 2, 0.02%
Yemen, 2, 0.02%
North Korea, 2, 0.02%
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France, 106, 6.2%
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Japan, 83, 4.85%
Spain, 50, 2.92%
Italy, 49, 2.86%
Germany, 35, 2.05%
India, 34, 1.99%
United Kingdom, 32, 1.87%
Australia, 30, 1.75%
Republic of Korea, 22, 1.29%
Thailand, 19, 1.11%
Canada, 18, 1.05%
Hungary, 17, 0.99%
Poland, 16, 0.94%
Czech Republic, 16, 0.94%
Russia, 15, 0.88%
Austria, 15, 0.88%
Malaysia, 14, 0.82%
Brazil, 13, 0.76%
Iran, 12, 0.7%
Belgium, 11, 0.64%
Netherlands, 10, 0.58%
Greece, 9, 0.53%
Sweden, 9, 0.53%
Finland, 8, 0.47%
Portugal, 7, 0.41%
Latvia, 7, 0.41%
Turkey, 7, 0.41%
Romania, 6, 0.35%
Switzerland, 6, 0.35%
Vietnam, 5, 0.29%
Mexico, 5, 0.29%
Singapore, 5, 0.29%
Ukraine, 4, 0.23%
Indonesia, 4, 0.23%
Iraq, 4, 0.23%
Slovakia, 4, 0.23%
Slovenia, 4, 0.23%
Algeria, 3, 0.18%
Denmark, 3, 0.18%
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