CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies
<p>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...
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2023
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إضافة وسم
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| _version_ | 1864513564669116416 |
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| author | Hasan Dinçer (5922110) |
| author2 | Serhat Yüksel (15746154) Alexey Mikhaylov (14619260) S.M. Muyeen (15746160) Tsangyao Chang (3028425) Sergey Barykin (15746162) Olga Kalinina (357956) |
| author2_role | author author author author author author |
| author_facet | Hasan Dinçer (5922110) Serhat Yüksel (15746154) Alexey Mikhaylov (14619260) S.M. Muyeen (15746160) Tsangyao Chang (3028425) Sergey Barykin (15746162) Olga Kalinina (357956) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hasan Dinçer (5922110) Serhat Yüksel (15746154) Alexey Mikhaylov (14619260) S.M. Muyeen (15746160) Tsangyao Chang (3028425) Sergey Barykin (15746162) Olga Kalinina (357956) |
| dc.date.none.fl_str_mv | 2023-12-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.egyr.2023.05.008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/CO_sub_2_sub_emissions_integrated_fuzzy_model_A_case_of_seven_emerging_economies/23007728 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Economics Applied economics Environmental sciences Pollution and contamination Human society Development studies CO2 emission Emerging economies model TOPSIS method Quantum spherical fuzzy Fiscal policy Taxation |
| dc.title.none.fl_str_mv | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>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) CO<sub>2</sub> 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 CO<sub>2</sub> 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 CO<sub>2</sub> 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 CO<sub>2</sub> 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. </p> <h2>Other Information</h2> <p>Published in: Energy Reports <br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br> See article on publisher's website: <a href="https://doi.org/10.1016/j.egyr.2023.05.008" target="_blank">https://doi.org/10.1016/j.egyr.2023.05.008</a> </p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_5475e5d7442e2d8d9039556436f7a06e |
| identifier_str_mv | 10.1016/j.egyr.2023.05.008 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/23007728 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economiesHasan Dinçer (5922110)Serhat Yüksel (15746154)Alexey Mikhaylov (14619260)S.M. Muyeen (15746160)Tsangyao Chang (3028425)Sergey Barykin (15746162)Olga Kalinina (357956)EconomicsApplied economicsEnvironmental sciencesPollution and contaminationHuman societyDevelopment studiesCO2 emissionEmerging economies modelTOPSIS methodQuantum spherical fuzzyFiscal policyTaxation<p>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) CO<sub>2</sub> 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 CO<sub>2</sub> 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 CO<sub>2</sub> 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 CO<sub>2</sub> 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. </p> <h2>Other Information</h2> <p>Published in: Energy Reports <br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br> See article on publisher's website: <a href="https://doi.org/10.1016/j.egyr.2023.05.008" target="_blank">https://doi.org/10.1016/j.egyr.2023.05.008</a> </p>2023-12-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.egyr.2023.05.008https://figshare.com/articles/journal_contribution/CO_sub_2_sub_emissions_integrated_fuzzy_model_A_case_of_seven_emerging_economies/23007728CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/230077282023-12-01T00:00:00Z |
| spellingShingle | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies Hasan Dinçer (5922110) Economics Applied economics Environmental sciences Pollution and contamination Human society Development studies CO2 emission Emerging economies model TOPSIS method Quantum spherical fuzzy Fiscal policy Taxation |
| status_str | publishedVersion |
| title | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| title_full | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| title_fullStr | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| title_full_unstemmed | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| title_short | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| title_sort | CO<sub>2</sub> emissions integrated fuzzy model: A case of seven emerging economies |
| topic | Economics Applied economics Environmental sciences Pollution and contamination Human society Development studies CO2 emission Emerging economies model TOPSIS method Quantum spherical fuzzy Fiscal policy Taxation |