How are electricity generation effective on carbon neutrality in the global south? Evidence from sectoral CO2 emissions by daily data

dc.contributor.author Mustafa Tevfik Kartal
dc.contributor.author Ugur Korkut Pata
dc.contributor.author Dilvin Taşkın
dc.contributor.author Taşkın, Dilvin
dc.contributor.author Pata, Ugur Korkut
dc.contributor.author Kartal, Mustafa Tevfik
dc.date.accessioned 2025-10-06T17:48:58Z
dc.date.issued 2024
dc.description.abstract In light of the efforts to ensure carbon neutrality by combating climate-related problems the study investigates the effectiveness of electricity generation (EG) from the main renewable sources (hydro-HEG solar-SEG and wind-WEG). In this context the study examines the countries of the Global South (i.e. Brazil China and India) considers EG at a disaggregated level and sectoral CO<inf>2</inf> emissions applies nonlinear methods and uses daily data between January 2 2019 and December 31 2022. The results demonstrate that (i) disaggregated EG sources have a stronger (weaker) time and frequency dependency on sectoral CO<inf>2</inf> emissions in China (Brazil and India), (ii) HEG has a stimulating impact on sectoral CO<inf>2</inf> emissions in all countries, (iii) SEG has an increasing impact on sectoral CO<inf>2</inf> emissions in Brazil and China while it provides a decrease in sectoral CO<inf>2</inf> emissions in India, (iv) WEG upsurges sectoral CO<inf>2</inf> emissions in China while it achieves a CO<inf>2</inf> reduction in Brazil and India, (v) disaggregated level EG has a causal impact on sectoral CO<inf>2</inf> emissions across all quantiles except some lower middle and higher quantiles. The study adds scientific value to existing knowledge by analyzing for the first time which EG sources are effective in reducing daily CO<inf>2</inf> emissions in the Global South. Based on the outcomes the study demonstrates that WEG is the best EG source for Brazil that SEG and WEG are optimal EG sources for India and that China cannot benefit from the EG sources considered. In this way the study provides fresh insights for the countries of the Global South and underlines the crucial role of renewable EG in ensuring carbon neutrality. © 2024 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.scitotenv.2024.171911
dc.identifier.issn 00489697, 18791026
dc.identifier.issn 0048-9697
dc.identifier.issn 1879-1026
dc.identifier.scopus 2-s2.0-85189014809
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189014809&doi=10.1016%2Fj.scitotenv.2024.171911&partnerID=40&md5=bc9cafb150711d822e362a98719ef1a6
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8203
dc.identifier.uri https://doi.org/10.1016/j.scitotenv.2024.171911
dc.language.iso English
dc.publisher Elsevier B.V.
dc.relation.ispartof Science of The Total Environment
dc.rights info:eu-repo/semantics/closedAccess
dc.source Science of the Total Environment
dc.subject Electricity Generation, Global South, Nonlinear Methods, Sectoral Co2 Emissions, Carbon Dioxide, Power Generation, Carbon Neutralities, China And India, Co 2 Emission, Daily Datum, Electricity-generation, Global South, Non-linear Methods, Renewable Sources, Sectoral Co2 Emission, Time And Frequencies, Carbon, Alternative Energy, Carbon Emission, Climate Effect, Electricity Generation, Article, Attribution (psychology), Carbon Dioxide Emission, Carbon Neutrality, Climate Change, Clinical Outcome, Conceptual Framework, Correlation Analysis, Econometric Model, Electricity, Empiricism, Fourier Transform, Global South, Human, Nonlinear System, Quantitative Analysis, Regression Analysis, Stimulation, Tight Junction, Wavelet Transform, Article, Brazil, Controlled Study, Epidemiology, Wind, India
dc.subject Carbon dioxide, Power generation, Carbon neutralities, China and India, CO 2 emission, Daily datum, Electricity-generation, Global south, Non-linear methods, Renewable sources, Sectoral CO2 emission, Time and frequencies, Carbon, alternative energy, carbon emission, climate effect, electricity generation, Article, attribution (psychology), carbon dioxide emission, carbon neutrality, climate change, clinical outcome, conceptual framework, correlation analysis, econometric model, electricity, empiricism, Fourier transform, global south, human, nonlinear system, quantitative analysis, regression analysis, stimulation, tight junction, wavelet transform, article, Brazil, controlled study, epidemiology, wind, India
dc.subject Sectoral CO2 Emissions
dc.subject Sectoral CO 2 Emissions
dc.subject Nonlinear Methods
dc.subject Electricity Generation
dc.subject Global South
dc.title How are electricity generation effective on carbon neutrality in the global south? Evidence from sectoral CO2 emissions by daily data
dc.type Article
dspace.entity.type Publication
gdc.author.id Kartal, Mustafa Tevfik/0000-0001-8038-8241
gdc.author.id Taşkın, Dilvin/0000-0001-6139-8006
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gdc.author.wosid Kartal, Mustafa Tevfik/AAV-9112-2020
gdc.author.wosid Pata, Ugur/L-1993-2019
gdc.author.wosid Taşkın, Dilvin/AAL-1206-2020
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gdc.description.department
gdc.description.departmenttemp [Kartal, Mustafa Tevfik] European Univ Lefke, Dept Finance & Banking, 10 Mersin, Lefke, Turkiye; [Kartal, Mustafa Tevfik; Pata, Ugur Korkut] Lebanese Amer Univ, Adnan Kassar Sch Business, Beirut, Lebanon; [Kartal, Mustafa Tevfik] Khazar Univ, Dept Econ & Management, Baku, Azerbaijan; [Kartal, Mustafa Tevfik; Pata, Ugur Korkut] Azerbaijan State Univ Econ UNEC, Clin Econ, Baku, Azerbaijan; [Pata, Ugur Korkut] Hatay Mustafa Kemal Univ, Dept Econ, Hatay, Turkiye; [Pata, Ugur Korkut] European Univ Lefke, Adv Res Ctr, 10 Mersin, Lefke, Turkiye; [Taskin, Dilvin] Yasar Univ, Dept Int Trade & Finance, Izmir, Turkiye; [Kartal, Mustafa Tevfik] European Univ Lefke, Dept Banking & Finance, 10 Mersin, Lefke, Turkiye
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 171911
gdc.description.volume 926
gdc.description.woscitationindex Science Citation Index Expanded
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gdc.identifier.pmid 38522524
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gdc.oaire.keywords Electricity generation
gdc.oaire.keywords Nonlinear methods
gdc.oaire.keywords Sectoral CO 2 emissions
gdc.oaire.keywords Global south
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gdc.virtual.author Taşkin Yeşilova, Fatma Dilvin
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person.identifier.scopus-author-id Kartal- Mustafa Tevfik (57202462947), Pata- Ugur Korkut (57193674847), Taşkın- Dilvin (57199073908)
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