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

The 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 (CO 2 ) emissions. This study examines the decoupli...

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Veröffentlicht in:Environmental and ecological statistics 2021-12, Vol.28 (4), p.793-820
Hauptverfasser: Ozturk, Ilhan, Majeed, Muhammad Tariq, Khan, Sher
Format: Artikel
Sprache:eng
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Zusammenfassung:The 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 (CO 2 ) emissions. This study examines the decoupling the CO 2 emissions from the economic growth through the employment of the Tapio decoupling index and decomposition of CO 2 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 CO 2 emissions, while energy intensity reduces CO 2 emissions, while mixed effects are reflected by carbon intensity.
ISSN:1352-8505
1573-3009
DOI:10.1007/s10651-021-00495-3