CO2 emissions integrated fuzzy model: A case of seven emerging economies
This paper proposes a new model to study carbon emission issues in seven emerging (E7) economies (China, Mexico, Turkey, Russia, Brazil, Indonesia and India). It employs weighted Quantum Spherical fuzzy DEMATEL model with golden cut using 18 years data, which was ranked for carbon emission evaluatio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723007503 |
| _version_ | 1797781852452290560 |
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| author | Hasan Dinçer Serhat Yüksel Alexey Mikhaylov S.M. Muyeen Tsangyao Chang Sergey Barykin Olga Kalinina |
| author_facet | Hasan Dinçer Serhat Yüksel Alexey Mikhaylov S.M. Muyeen Tsangyao Chang Sergey Barykin Olga Kalinina |
| author_sort | Hasan Dinçer |
| collection | DOAJ |
| description | This paper proposes a new model to study carbon emission issues in seven emerging (E7) economies (China, Mexico, Turkey, Russia, Brazil, Indonesia and India). It employs weighted Quantum Spherical fuzzy DEMATEL model with golden cut using 18 years data, which was ranked for carbon emission evaluation via Quantum Spherical fuzzy TOPSIS method. The data includes macroeconomic variables for the period from 2003 to 2020. Paper observes that (i) CO2 emissions from fossil fuels is the most significant factor distressing the carbon emission problem of E7 economies. It suggests that these countries need to explore alternatives to fossil fuels to handle the carbon emission problem. (ii) The CO2 emission problem in energy production can be minimized by renewable energy and nuclear energy, suggesting some financial incentives to the investors in energy explorations areas. (iii) It is also observed that due to high volatility of CO2 emissions, a negative market factor exists in consumer sentiment in consumption of oil and petroleum products. This can be compensated via energy consumption fiscal policy in taxation and encourage of extractive industries and producers of petroleum products, as well as the uneven spatial development to have a significant impact on the reduction of CO2 emission. The paper gives recommendation that E7 countries need to find alternatives to fossil fuels in order to deal effectively with the carbon emission problem. |
| first_indexed | 2024-03-13T00:02:47Z |
| format | Article |
| id | doaj.art-56d0f7d99aae49dd9c6018bf2e5b590a |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:02:47Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-56d0f7d99aae49dd9c6018bf2e5b590a2023-07-13T05:30:12ZengElsevierEnergy Reports2352-48472023-12-01957415751CO2 emissions integrated fuzzy model: A case of seven emerging economiesHasan Dinçer0Serhat Yüksel1Alexey Mikhaylov2S.M. Muyeen3Tsangyao Chang4Sergey Barykin5Olga Kalinina6Istanbul Medipol University, School of Business, Turkey; Corresponding authors.Istanbul Medipol University, School of Business, TurkeyFinancial faculty, Financial University under the Government of the Russian Federation, Moscow, RussiaDepartment of Electrical Engineering, Qatar University, Doha, Box 2713, Qatar; Corresponding authors.Department of Finance, Feng Chia University, TaiwanPeter the Great St. Petersburg Polytechnic University, RussiaPeter the Great St. Petersburg Polytechnic University, RussiaThis paper proposes a new model to study carbon emission issues in seven emerging (E7) economies (China, Mexico, Turkey, Russia, Brazil, Indonesia and India). It employs weighted Quantum Spherical fuzzy DEMATEL model with golden cut using 18 years data, which was ranked for carbon emission evaluation via Quantum Spherical fuzzy TOPSIS method. The data includes macroeconomic variables for the period from 2003 to 2020. Paper observes that (i) CO2 emissions from fossil fuels is the most significant factor distressing the carbon emission problem of E7 economies. It suggests that these countries need to explore alternatives to fossil fuels to handle the carbon emission problem. (ii) The CO2 emission problem in energy production can be minimized by renewable energy and nuclear energy, suggesting some financial incentives to the investors in energy explorations areas. (iii) It is also observed that due to high volatility of CO2 emissions, a negative market factor exists in consumer sentiment in consumption of oil and petroleum products. This can be compensated via energy consumption fiscal policy in taxation and encourage of extractive industries and producers of petroleum products, as well as the uneven spatial development to have a significant impact on the reduction of CO2 emission. The paper gives recommendation that E7 countries need to find alternatives to fossil fuels in order to deal effectively with the carbon emission problem.http://www.sciencedirect.com/science/article/pii/S2352484723007503CO2 emissionEmerging economies modelTOPSIS methodQuantum spherical fuzzyFiscal policyTaxation |
| spellingShingle | Hasan Dinçer Serhat Yüksel Alexey Mikhaylov S.M. Muyeen Tsangyao Chang Sergey Barykin Olga Kalinina CO2 emissions integrated fuzzy model: A case of seven emerging economies Energy Reports CO2 emission Emerging economies model TOPSIS method Quantum spherical fuzzy Fiscal policy Taxation |
| title | CO2 emissions integrated fuzzy model: A case of seven emerging economies |
| title_full | CO2 emissions integrated fuzzy model: A case of seven emerging economies |
| title_fullStr | CO2 emissions integrated fuzzy model: A case of seven emerging economies |
| title_full_unstemmed | CO2 emissions integrated fuzzy model: A case of seven emerging economies |
| title_short | CO2 emissions integrated fuzzy model: A case of seven emerging economies |
| title_sort | co2 emissions integrated fuzzy model a case of seven emerging economies |
| topic | CO2 emission Emerging economies model TOPSIS method Quantum spherical fuzzy Fiscal policy Taxation |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723007503 |
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