Decoupling and decomposition analysis of environmental impact from economic growth: a comparative analysis of Pakistan, India, and China

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dc.authoridOzturk, Ilhan/0000-0002-6521-0901
dc.authoridKhan, Sher/0000-0003-2497-4400
dc.authorid, Sher Khan/0009-0000-5801-2424
dc.authoridMajeed, Muhammad Tariq/0000-0001-9374-5025
dc.contributor.authorOzturk, Ilhan
dc.contributor.authorMajeed, Muhammad Tariq
dc.contributor.authorKhan, Sher
dc.date.accessioned2025-03-07T20:19:27Z
dc.date.available2025-03-07T20:19:27Z
dc.date.issued2021
dc.departmentÇağ Üniversitesi
dc.description.abstractThe dispute between economic growth and greenhouse gas emissions is one of the major challenges of the twenty-first century. The central issue of the emerging economies revolves around the decoupling of economic growth and the rising carbon dioxide (CO2) emissions. This study examines the decoupling the CO2 emissions from the economic growth through the employment of the Tapio decoupling index and decomposition of CO2 emissions into its pre-determined factors through the Log Mean Divisia Index (LMDI) decomposition technique for Pakistan, India, and China (PIC) for a time span of 1990-2014. The findings of the Tapio elasticity analysis depict that in a few years, environmental impact has been seen to be decoupled from the economic growth in the respective PIC countries. However, relatively Pakistan experienced expensive negative decoupling; India mostly experienced weak decoupling and expensive coupling, while China exhibited weak decoupling in multiple years. In addition, the analysis of Tapio decoupling elasticity showed that energy intensity is the key factor supporting the decoupling in PIC countries, while population, affluence (GDP per capita) and energy structure have weakened the progress of decoupling. Furthermore, the analysis of the LMDI decomposition suggested that population, energy structure and affluence in PIC countries increase the CO2 emissions, while energy intensity reduces CO2 emissions, while mixed effects are reflected by carbon intensity.
dc.identifier.doi10.1007/s10651-021-00495-3
dc.identifier.endpage820
dc.identifier.issn1352-8505
dc.identifier.issn1573-3009
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85109189335
dc.identifier.scopusqualityQ1
dc.identifier.startpage793
dc.identifier.urihttps://doi.org/10.1007/s10651-021-00495-3
dc.identifier.urihttps://hdl.handle.net/20.500.12507/3197
dc.identifier.volume28
dc.identifier.wosWOS:000641227200002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironmental and Ecological Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20241226
dc.subjectDecoupling and decomposition analysis
dc.subjectEconomic growth
dc.subjectEnvironmental impact
dc.subjectGreenhouse gas emissions
dc.titleDecoupling and decomposition analysis of environmental impact from economic growth: a comparative analysis of Pakistan, India, and China
dc.typeArticle

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