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Title Measurement of income inequality and its determinants in district Dir lower Author info Abdul Waris, Sher Khan ... [et al.] Author Waris Abdul (20%)
Co-authors Khan Sher (20%)
Urrahman Atif (20%)
Hronec Martin 1976- (20%) UMBEF02 - Katedra ekonómie
Another authors Šuplata Marian 1976- (Author) (20%)
Source document Journal of financial risk management. Vol. 12, no. 2 (2023), pp. 180-202. - Irvine : SCIRP, 2023 Keywords logistická regresia nerovnosť príjmového rozdelenia Lorenzova krivka domácnosť - household Form. Descr. články - journal articles Language English Country United States of America Annotation The objective of the present study was to measure income inequality and to analyze determinants of income inequality of the households in the study area conducted in three villages Madinaabad, Shamshikhan, and Ziarat were randomly selected from the Lower Dir district. Data were randomly collected from 82 sample households with the help of an interview schedule. Ginicoefficient, Palma ratio was used to measure income inequality in the selected area while Lorenz curve was used to represent income and inequality. A logistic regression model was used for analyzing the determinants of income inequality of the households in the research area. Results of the study revealed that the value of Gini-coefficient for villages Madinaabad, Shamshikhan, Ziarat and for the overall area were 0.22, 0.30, 0.34, and 0.31 while Palma ratio for villages Madinaabad, Shamshikhan, Ziarat, and for the overall area were 0.63, 0.88, 1.14 and 1.06, respectively. Results of binary logistic regression showed that the odds ratio of age, education and the number of dependents was 1.084, 0.862, and 0.306, respectively, which showed that income inequality increases with the increase of one year of age by 8.4 percent. In contrast, education and earners decrease income inequality in the research area. Based on research findings, providing quality education and proper use of land resources can reduce income inequality in the study area. URL Link na plný text Public work category ADE No. of Archival Copy 53485 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika 
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Title The impact of hydro‑biofuel‑wind‑solar energy consumption and coal consumption on carbon emission in G20 countries Author info Abdul Waris, Sher Khan ... [et al.] Author Waris Abdul (25%)
Co-authors Khan Sher (25%)
Hronec Martin 1976- (25%) UMBEF02 - Katedra ekonómie
Šuplata Marian 1976- (25%)
Source document Environmental science and pollution research. Vol. 30, no. 28 (2023), pp. 72503-72513. - Heidelberg : Springer-Verlag, 2023 Keywords biopalivá vodná energia veterná energia slnečná energia emisie skupina G20 Form. Descr. články - journal articles Language English Country Germany Annotation Globally, as a renewable source of energy, biofuel, wind, solar, and hydro energy have been increasingly valued by a range of businesses. There is no denying the advantages of using renewable energy in terms of preventing climate change and protecting the environment. Therefore, this article investigates the relationship among hydro, solar, biofuel, wind, coal consumption, and CO2 emissions in 19 G20 member countries between 2000 and 2019. The results of dynamic fixed effects and the system-generalized method of moments suggest that solar energy and biofuel usage have a negative and statistically significant influence on carbon emissions. On the other hand, the impact of wind energy consumption on carbon dioxide emissions is positive and statistically significant. However, hydro energy consumption is statistically insignificant. The significance of this study is to include wind energy, solar energy, and hydro energy as new indicators for a group of 19 G20 member countries. Furthermore, this research paper also includes coal consumption in the existing model to confirm that CO2 emissions may rise if more coal is consumed. Growing the solar-hydro-biofuel-wind industry can reduce nonrenewable energy consumption and has tremendous potential to diminish carbon dioxide emissions. URL Link na zdrojový dokument Public work category ADC No. of Archival Copy 53487 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika article