4.4 Article

Environmental impact of economic activities: Decoupling perspective of Singapore using log mean Divisia index decomposition technique

Journal

GEOLOGICAL JOURNAL
Volume -, Issue -, Pages -

Publisher

WILEY
DOI: 10.1002/gj.4786

Keywords

decoupling elasticity; economic growth; Kaya identity; LMDI decomposition

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The chase for economic growth has led to global environmental degradation, posing a threat to the socioeconomic aspects of human lives. Singapore, as a global economic player, has transformed its rural setup into an urban structure to achieve higher economic growth, but this has adversely affected its environmental quality. This study analyzes the relationship between Singapore's economic activities and environmental quality, and reveals that population and economic growth are the main contributors to carbon emissions, while carbon intensity helps reduce the environmental impact. Energy intensity and structure have mixed effects on carbon emissions. The analysis also shows that Singapore has experienced strong decoupling in most study years. Expensive negative decoupling, weak decoupling, and strong negative decoupling were also observed during the study period. An expanded decomposition analysis reveals that population and economic growth deteriorate environmental quality in Singapore, while carbon intensity plays a critical role in strengthening the decoupling progress, and energy intensity and structure have a mixed effect on the decoupling process.
The chase for economic growth results in global environmental degradation, threatening the socioeconomic aspects of human lives. Singapore is a global economic player, transforming its rural setup into an urban structure to achieve higher economic growth (EG). However, the drive for EG drastically affected its environmental quality. In this respect, the present study analyzes the relationship between Singapore's economic activities and environmental quality. This study uses the Tapio decoupling indicator, Kaya Identity, and the Log Mean Divisia Index (LMDI) decomposition techniques to assess the relationships between these paramount factors from 1990 to 2016. The LMDI analysis reveals that EG and population are the main contributors to carbon emissions (CE), whereas carbon intensity reduces the environmental impact. However, energy intensity and energy structure have depicted mixed effects on CE. Further, Tapio analysis reveals that Singapore has experienced strong decoupling (SD) in most study years. Additionally, expensive negative decoupling (END), weak decoupling (WD), and strong negative decoupling (SND) were also observed during the study period. An expanded decomposition analysis reveals that population and EG deteriorate environmental quality in Singapore. While carbon intensity is the critical driver that strengthens the decoupling progress, energy intensity and structure depict a mixed effect on the decoupling process.

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