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Wyszukujesz frazę "Kuc-Czarnecka, Marta" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
COVID-19 and digital deprivation in Poland
Autorzy:
Kuc-Czarnecka, Marta
Powiązania:
https://bibliotekanauki.pl/articles/19233531.pdf
Data publikacji:
2020
Wydawca:
Instytut Badań Gospodarczych
Tematy:
COVID-19
digital deprivation
e-exclusion
GIS methods
Opis:
Research background: The problem of digital deprivation is already known, but the COVID-19 pandemic has highlighted its negative consequences. A global change in the way of life, work and socialisation resulting from the epidemic has indicated that a basic level of digital integration is becoming necessary. During the lockdown, people were forced to use ICTs to adapt to a rapidly changing reality. Current experience with coronavirus pandemic shows that the transition to these extraordinary circumstances is not smooth. The inability to rapid conversion to the online world (due to a lack of skills or technical capabilities) significantly reduces professional mobility, hinders access to public services, and in the case of children, exposes them to the risk of remaining outside the remote education system. Purpose of the article: This research paper is addressing new issues of the impact of the COVID-19 pandemic on deepening and increasing the severity of e-exclusion. The goal of the paper is to indicate territorial areas in Poland which are particularly vulnerable to digital deprivation due to infrastructural deficiencies. Methods: Raster data regarding landform, combined with vector data regarding population density and type of buildings as well as the location of BTS stations are used in so-called modelling overland paths (GIS method) to indicate areas vulnerable to the infrastructural digital divide. Findings & Value added: The research showed that 4% of Poles remain out-side the Internet coverage, and additional ten percent of them are out of the reach of the Internet, allowing efficient remote work or learning. The research indicated that digital 'accessibility gap' is underestimated. E-exclusion has become a pressing issue and requires urgent system solutions, in case of future lockdowns.
Źródło:
Oeconomia Copernicana; 2020, 11, 3; 415-431
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Sensitivity analysis as a tool to optimise Human Development Index
Autorzy:
Kuc-Czarnecka, Marta
Powiązania:
https://bibliotekanauki.pl/articles/22446409.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
Human Development Index
composite indicators
sensitivity analysis
Opis:
Research background: Composite indicators are commonly used as an approximation tool to measure economic development, the standard of living, competitiveness, fairness, effectiveness, and many others being willingly implemented into many different research disciplines. However, it seems that in most cases, the variable weighting procedure is avoided or erroneous since, in most cases, the so-called ?weights by belief? are applied. As research show, it can be frequently observed that weights do not equal importance in composite indicators. As a result, biased rankings or grouping of objects are obtained. Purpose of the article: The primary purpose of this article is to optimise and improve the Human Development Index, which is the most commonly used composite indicator to rank countries in terms of their socio-economic development. The optimisation will be done by re-scaling the current weights, so they will express the real impact of every single component taken into consideration during HDI?s calculation process. Methods: In order to achieve the purpose mentioned above, the sensitivity analysis tools (mainly the first-order sensitivity index) were used to determine the appropriate weights in the Human Development Index. In the HDI?s resilience evaluation process, the Monte Carlo simulations and full-Bayesian Gaussian processes were applied. Based on the adjusted weights, a new ranking of countries was established and compiled with the initial ranking using, among others, Kendall tau correlation coefficient. Findings & Value added: Based on the data published by UNDP for 2017, it has been shown that the Human Development Index is built incorrectly by putting equal weights for all of its components. The weights proposed by the sensitivity analysis better reflect the actual contribution of individual factors to HDI variability. Re-scaled Human Development Index constructed based on proposed weights allow for better differentiation of countries due to their socio-economic development.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2019, 14, 3; 425-440
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
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