Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models

Bioenergy is a renewable energy source that saves from fossil fuel dependence. Therefore, it is important to increase the efficiency of bioenergy investments to create an environmentally sustainable energy supply. This paper aims to identify economic indicators significant in forecasting the supply...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Energy Reports Ročník 8; s. 561 - 570
Hlavní autoři: Bhuiyan, Miraj Ahmed, Dinçer, Hasan, Yüksel, Serhat, Mikhaylov, Alexey, Danish, Mir Sayed Shah, Pinter, Gabor, Uyeh, Daniel Dooyum, Stepanova, Diana
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.11.2022
Elsevier BV
Elsevier
Témata:
Biomass Economy
Demand and supply
DEMATEL
Economic Growth
Electrical engineering. Electronics. Nuclear engineering
Q-rung orthopair fuzzy sets
TK1-9971
Biomass economy
Demand and supply
DEMATEL
Economic growth
Q-rung orthopair fuzzy sets
ISSN:2352-4847, 2352-4847
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Bioenergy is a renewable energy source that saves from fossil fuel dependence. Therefore, it is important to increase the efficiency of bioenergy investments to create an environmentally sustainable energy supply. This paper aims to identify economic indicators significant in forecasting the supply of bioenergy. Considering this goal, an integrated evaluation has been performed for 17 developed economies using the Random Forest method and the Fuzzy Decision-Making Trial and Evaluation Laboratory (QROF-DEMATEL) method. The main contribution of this study is conducting analysis by using both quantitative and qualitative data. Additionally, the coherence of the results made with the QROF-DEMATEL method is also verified by implementing a sensitivity analysis. The results of both approaches are quite similar and provide information about the reliability of the findings. This situation demonstrates that for the development of bioenergy investments, firstly, countries’ macroeconomic conditions should be improved. Consequently, economic growth and unemployment (weighting results - 0.159 and 0.155) should be primarily considered for the bioenergy supply forecast. •The economic growth and unemployment problem should be primarily taken into consideration for the forecast of the bioenergy supply.•The countries that have high economic development will need more bioenergy.•Both economic development and industrial production may decrease which reduces the need for biomass energy.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2021.11.278