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Decoupling and decomposition analysis of environmental impact from economic growth: a comparative analysis of Pakistan, India, and China
- Source :
- Environmental and Ecological Statistics. 28:793-820
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- 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 (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.
- Subjects :
- Statistics and Probability
education.field_of_study
Index (economics)
Natural resource economics
020209 energy
Population
02 engineering and technology
Divisia index
01 natural sciences
010104 statistics & probability
Greenhouse gas
Energy intensity
0202 electrical engineering, electronic engineering, information engineering
Per capita
Economics
0101 mathematics
Statistics, Probability and Uncertainty
education
Emerging markets
Decoupling (electronics)
General Environmental Science
Subjects
Details
- ISSN :
- 15733009 and 13528505
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Environmental and Ecological Statistics
- Accession number :
- edsair.doi...........9222791de148244ecf5e8bbcb91eb9ac