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...

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Published in:Energy Reports Vol. 8; pp. 561 - 570
Main Authors: Bhuiyan, Miraj Ahmed, Dinçer, Hasan, Yüksel, Serhat, Mikhaylov, Alexey, Danish, Mir Sayed Shah, Pinter, Gabor, Uyeh, Daniel Dooyum, Stepanova, Diana
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.11.2022
Elsevier BV
Elsevier
Subjects:
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
Online Access:Get full text
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Abstract 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.
AbstractList 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.
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.
Author Dinçer, Hasan
Mikhaylov, Alexey
Bhuiyan, Miraj Ahmed
Stepanova, Diana
Danish, Mir Sayed Shah
Yüksel, Serhat
Uyeh, Daniel Dooyum
Pinter, Gabor
Author_xml – sequence: 1
  givenname: Miraj Ahmed
  surname: Bhuiyan
  fullname: Bhuiyan, Miraj Ahmed
  email: ahmedbhuiyan@ya.ru
  organization: School of Economics, Guangdong University of Finance & Economics, Guangzhou, 510320, China
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  givenname: Hasan
  orcidid: 0000-0002-8072-031X
  surname: Dinçer
  fullname: Dinçer, Hasan
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  organization: School of Business, Istanbul Medipol University, Istanbul, 34810, Turkey
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  givenname: Serhat
  orcidid: 0000-0002-9858-1266
  surname: Yüksel
  fullname: Yüksel, Serhat
  email: serhatyuksel@medipol.edu.tr
  organization: School of Business, Istanbul Medipol University, Istanbul, 34810, Turkey
– sequence: 4
  givenname: Alexey
  orcidid: 0000-0003-2478-0307
  surname: Mikhaylov
  fullname: Mikhaylov, Alexey
  email: ayumihajlov@fa.ru
  organization: Research Center of Monetary Relations, Financial University under the Government of the Russian Federation, Moscow, 124167, Russian Federation
– sequence: 5
  givenname: Mir Sayed Shah
  surname: Danish
  fullname: Danish, Mir Sayed Shah
  email: mdanish@lab.u-ryukyu.ac.jp
  organization: Department of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa, 903-0213, Japan
– sequence: 6
  givenname: Gabor
  orcidid: 0000-0002-3420-8390
  surname: Pinter
  fullname: Pinter, Gabor
  email: pinter.gabor@uni-pen.hu
  organization: Faculty of Engineering, Soós Ernő, Research and Development Center, Renewable Energy Research Group, University of Pannonia, Veszprém, 8200, Hungary
– sequence: 7
  givenname: Daniel Dooyum
  surname: Uyeh
  fullname: Uyeh, Daniel Dooyum
  email: uyehdooyum@gmail.com
  organization: Department of Bio-Industrial Machinery Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea
– sequence: 8
  givenname: Diana
  surname: Stepanova
  fullname: Stepanova, Diana
  email: Stepanova.DI@rea.ru
  organization: Plekhanov Russian University of Economics, Moscow, 115903, Russian Federation
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Keywords Biomass economy
Demand and supply
DEMATEL
Economic growth
Q-rung orthopair fuzzy sets
Language English
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Snippet Bioenergy is a renewable energy source that saves from fossil fuel dependence. Therefore, it is important to increase the efficiency of bioenergy investments...
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StartPage 561
SubjectTerms Biomass Economy
Demand and supply
DEMATEL
Economic Growth
Electrical engineering. Electronics. Nuclear engineering
Q-rung orthopair fuzzy sets
TK1-9971
Title Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models
URI https://dx.doi.org/10.1016/j.egyr.2021.11.278
https://cir.nii.ac.jp/crid/1870020692561757312
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