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001-es BibID:BIBFORM117451
035-os BibID:(WoS)001134137300001 (Scopus)85179467649
Első szerző:Altouma, Ahmed
Cím:An environmental impact assessment of Saudi Arabia's vision 2030 for sustainable urban development : a policy perspective on greenhouse gas emissions / Ahmed Altouma, Bashar Bashir, Behnam Ata, Akasairi Ocwa, Abdullah Alsalman, Endre Harsányi, Safwan Mohammed
Dátum:2024
ISSN:2665-9727
Megjegyzések:Globally, countries are legitimizing actions to curtail the malevolent impacts of environmental degradation. This study examined the interaction between CO2 emissions and selected economic variables within the framework of Saudi Arabia's Vision 2030. The Autoregressive distributed lag model (ARDL) was used to analyze the long-run relationships and short-run dynamics between studied variables (1970-2020). The Mann-Kendall (MK) test revealed a significant (p < 0.05) positive increase of GHGs emissions from all sectors across the KSA. The highest increased were captured at the electricity and heat by 7345454.47 tonnes of carbon dioxide-equivalents/year (p < 0.05). On the hand, the ARDL model indicates that GDP, agriculture, industry, services, and oil production have short-term effects on the environment through CO2 emissions. Therefore, GDP, agriculture, services and oil production contribute to increases in CO2 emissions. While industry contributes to decrease in CO2 emissions. The ARDL model also showed that an increase in GDP of 1 percent increases CO2 emissions by 3.46 percent, while an increase in oil production of 1 percent increases CO2 emissions by 4.04 percent. However, an increase in industry of 1 percent decreases CO2 emissions by 7.25 percent. The output of this research has a policy implication for addressing environmental concerns in the country.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Net-zero emissions
Saudi vision
ARDL
Sustainable societies
Climate change
Megjelenés:Environmental and Sustainability Indicators. - 21 (2024), p. 1-13. -
További szerzők:Bashir, Bashar Ata, Behnam (1991-) (Geográfus PhD hallgató) Ocwa, Akasairi (1987-) (Crop scientist) Alsalman, Abdullah Harsányi Endre (1976-) (agrármérnök) Mohammed Safwan (1985-) (agrármérnök)
Pályázati támogatás:TKP2021-NKTA-32
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2.

001-es BibID:BIBFORM129647
Első szerző:Ata, Behnam (Geográfus PhD hallgató)
Cím:Comprehensive analysis of factors influencing EU-countries household energy consumption (2000-2022): Trends and vulnerability to COVID-19 and the Russia-Ukraine war / Behnam Ata, János Pénzes, Parisa Pakrooh, Aynaz Lotfata, Safwan Mohammed
Dátum:2025
ISSN:2211-467X 2211-4688
Megjegyzések:Recent global crises, such as COVID-19 and the Russia-Ukraine War, have accelerated efforts to reduce dependency to fossil fuels due to soaring prices. This research aims to identify the key factors such as climate, electricity and gas price, GDP, renewable energy use, population and COVID-19 influencing household energy consumption in EU countries, particularly in the context of recent crises such as COVID-19 and the RussiaUkraine war. Research starts with trend analysis using the Mann-Kendall (MK) test and Sen`s Slope estimator, then Tukey test, followed by the examination of household panel data from EU countries spanning 2000 to 2022 using static and dynamic panel models including Feasible Generalized Least Squares (FGLS) and System Generalized Method of Moments (GMM). The MK test reveals a significant upward trend in gas prices, while gas usage shows mixed trends in natural gas consumption and electricity usage generally increases across EU countries. The Tukey test reveals substantial shifts in pricing of gas and electricity trends influenced by external factors such as the COVID-19 pandemic and the Russia-Ukraine war. Moreover, renewable energy consumption emerged as significant, indicating a noteworthy increase in renewable energy utilization among EU-24 countries. Static FGLS model findings indicate significant effects of various factors on gas consumption, such as Heating Degree Days (HDD), Cooling Degree Days (CDD), Renewables use, Electricity price, Population, and GDP lead to corresponding increases in gas consumption. On the contrary, electricity consumption and gas prices lead to decreases in gas consumption. Similarly, HDD, CDD, gas price, population, and GDP have positive effects on electricity consumption. Meanwhile, increase in gas consumption and electricity price lead to decreases in electricity consumption. Dynamic model results differ slightly, HDD, CDD, GDP, and the dummy variable (COVID-19) contribute to an increase in gas consumption in the EU household sector. Meanwhile, according to the system GMM, electricity prices and gas prices lead to a decrease in gas consumption. However, CDD, gas consumption, and the dummy variable tend to increase electricity consumption. In the dynamic model, only gas prices contribute to a decrease in electricity consumption. In summary, the research offers valuable insights into factors influencing energy consumption in EU countries, suggesting implications for policy and future research directions in energy economics and sustainability.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
energy price
COVID-19
Russia
Ukraine war
dynamic and static Model
household
EU countries
Megjelenés:Energy Strategy Reviews. - 59 (2025), p. 1-21. -
További szerzők:Pénzes János (1980-) (geográfus) Pakrooh, Parisa Lotfata, Aynaz Mohammed Safwan (1985-) (agrármérnök)
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3.

001-es BibID:BIBFORM130297
035-os BibID:(Scopus)105007295332
Első szerző:Mohammed Safwan (agrármérnök)
Cím:European Union agro-climate policies toward sustainability : analyzing emission trends and land use dynamics (1990-2021) / Safwan Mohammed, Asif Raihan, Sana Arshad, Behnam Ata, Akasairi Ocwa, Main Al-Dalahmeh, Endre Harsanyi
Dátum:2025
ISSN:2666-9161
Tárgyszavak:Természettudományok Környezettudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Megjelenés:Resources, Environment and Sustainability. - 21 (2025), p. 1-21. -
További szerzők:Raihan, Asif Arshad, Sana Ata, Behnam (1991-) (Geográfus PhD hallgató) Ocwa, Akasairi (1987-) (Crop scientist) Al-Dalahmeh, Main (1985-) Harsányi Endre (1976-) (agrármérnök)
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4.

001-es BibID:BIBFORM124450
035-os BibID:(Scopus)85204973306 (WoS)001328417400001
Első szerző:Mohammed Safwan (agrármérnök)
Cím:Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean / Safwan Mohammed, Sana Arshad, Bashar Bashir, Behnam Ata, Main Al-Dalahmeh, Abdullah Alsalman, Haidar Ali, Sami Alhennawi, Samer Kiwan, Endre Harsanyi
Dátum:2024
ISSN:0301-4797
Tárgyszavak:Természettudományok Fizikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Journal of Environmental Management. - 370 (2024), p. 1-14. -
További szerzők:Arshad, Sana Bashir, Bashar Ata, Behnam (1991-) (Geográfus PhD hallgató) Al-Dalahmeh, Main (1985-) Alsalman, Abdullah Ali, Haidar Alhennawi, Sami Kiwan, Samer Harsányi Endre (1976-) (agrármérnök)
Internet cím:DOI
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