Статья

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

Miraj Ahmed BhuiyanSchool of Economics, Guangdong University of Finance & Economics, Guangzhou, 510320, ChinaHasan DınçerSchool of Business, Istanbul Medipol University, Istanbul, 34810, TurkeySerhat YükselSchool of Business, Istanbul Medipol University, Istanbul, 34810, TurkeyAlexey MikhaylovResearch Center of Monetary Relations, Financial University under the Government of the Russian Federation, Moscow, 124167, Russian FederationMir Sayed Shah DanishDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa, 903-0213, JapanGábor PintérFaculty of Engineering, Soós Ernő, Research and Development Center, Renewable Energy Research Group, University of Pannonia, Veszprém, 8200, HungaryDaniel Dooyum UyehDepartment of Bio-Industrial Machinery Engineering, Kyungpook National University, Daegu, 41566, Republic of KoreaDiana StepanovaPlekhanov Russian University of Economics, Moscow, 115903, Russian Federation

2021en

ABI

Аннотация

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.

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Идентификаторы

DOI: 10.1016/j.egyr.2021.11.278

Цитирования и источники

Цитирований: 3Использованных источников: 0

Показатели — AkademScholar