Untitled

doi:10.32479/ijeep.7111

Cited by 2 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The summary details of all variables involved in this study are shown in Table 1. The underlying framework of the model specification is based on the studies of Lean & Smyth (2019), Sebri & Ben-Salha (2014), Farhani et al (2014), and Rasiah, Guptan, & Habibullah (2018). The generalizedmethod-of-moments (GMM) technique (Holtz-Eakin, Newey, & Rosen 1988; Arellano & Bond, 1991;Arellano & Bover, 1995;Blundell & Bond, 1998) was utilized to analyse the dynamic carbon emission model by using annual data of 125 countries for the 2000 to 2014 period, as this was the only time period where there was complete data for the dependent and independent variables across all 125 countries.…”

Section: Methodsmentioning

confidence: 99%

“…All economic data used in this study were sourced from the World Development Indicators published by the World Bank. The model used in this study was based on Lean & Smyth (2010), Sebri & Ben-Salha (2014), Farhani, Chaibi, & Rault, 2014), and Rasiah, Guptan, & Habibullah (2018), the empirical long-run relation between carbon emissions, real GDPC, energy use, TO, and FD is written in the following form: and with the GMM procedure, it is estimated the following carbon emissions model equation:…”

Section: Methodsmentioning

confidence: 99%

“…Similarly, Tiwari, Shahbaz, & Hye (2013), in their study on the role of coal consumption in India using the ARDL methodology, support the Environmental Kuznets' Curve findings of previous studies. Rasiah, Guptan, & Habibullah (2018), applied the dynamic heterogeneous panel estimation techniques of mean group (MG), Pooled MG (PMG) and dynamic fixed effects to analyse a set of macro panel data of the ASEAN-5 countries, to establish the possible causal relations between carbon emissions and its explanatory variables (energy use, trade openness, per capita income and financial development).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Determinants of environmental degradation: reflections on the impact of identified economic variables on the environment

Ramayah¹,

Rasiah²,

Somasundram³

et al. 2019

Min. miner. depos.

View full text Add to dashboard Cite

Purpose. The main objective of this study is to investigate the determinants of environmental degradation within the broader framework of the environmental Kuznets Curve analysis. To better understand the economic impact on the environment, the study focuses on the relationship between carbon emission and the variables income per capita, trade openness, foreign direct investment, energy use and urbanization.Methods. In the context of the dynamic carbon emission model a Generalized-Method-of-Moments (GMM) technique was used to analyse World Bank of 125 countries for the period 2000 to 2014. This era was chosen as the most appropriate given the completeness of the dataset.Findings. The findings indicate that economic growth and energy use are significant variables in explaining environmental degradation, supporting previous research in to the particularly negative impact of energy use on the environment. The research however, found that urbanisation had only marginal significance in explaining the impact on the environment.Originality. The findings contribute to existing research in the area of environmental degradation, providing insight into the debate surrounding urbanisation and CO 2 emission which had previously received mixed results. The findings take research forward through the examination of explanatory variables and their respective impact on CO 2 emission in countries which have observed an increase in the number of urban dwellers. Practical implications.Given the debate in academic and practitioner literature around climate change, pollution and a general concern over a lack of collective action to address environmental concerns, the findings have practical implications for government institutions and businesses to better understand the economic impact on the environment.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Determinants of environmental degradation: reflections on the impact of identified economic variables on the environment

Ramayah¹,

Rasiah²,

Somasundram³

et al. 2019

Min. miner. depos.

View full text Add to dashboard Cite

show abstract

“…In the case of the fossil fuel consumption, the generation of energy from fossil fuels is expected to emit more carbon dioxide and is thus considered destructive for the atmosphere (Rasiah et al, 2018, Sarkodie & Strezov, 2018. Energy generation from renewable sources, on the other hand, is more sustainable for the environment in the sense that such processes emit lesser to no carbon dioxide emission (Zoundi, 2017;Shahbaz & Sinha, 2019).…”

Section: B Results Of the Pedroni Panel Cointegration Testmentioning

confidence: 99%

Analyzing Pollution Emissions and Economic Growth in Asia Through the Lens of the Environmental Kuznets Curve

Ponce

Garcia

Cuevas

et al. 2022

Preprint

View full text Add to dashboard Cite

The Environmental Kuznets Curve (EKC) hypothesis posits an inverted-U relationship between pollution emissions and economic growth. This means that economic growth goes hand-in-hand with environmental pollution emissions until a turning point is reached where pollution emissions and economic growth begin to decouple. This study examined the nonlinear cointegrating relationship of pollution emissions with economic growth alongside select developmental variables to test the EKC hypothesis using a panel data sample comprising 34 Asian economies over the period 2001 to 2013. The study estimated panel Autoregressive Distributed Lag (ARDL) models in the forms of Pooled Mean Group (PMG) and Mean Group (MG) models, which were tested against one another using the Hausman specification test. For robustness checks, the same procedure was applied to disaggregated panel groupings by income classifications of Asian economies. The results reveal that the EKC hypothesis holds in the total Asia sample; but not robust across the disaggregated panel groups. Interestingly, the EKC holds only among the middle-income economies and not among the low-income and high-income economies. The turning point GDP in the Asian EKC was estimated to be within the range of US$ 32,003 to US$ 38,793 per capita, confirming that only Singapore, Japan, and the United Arab Emirates were the only economies to have transitioned towards the coveted second half of the EKC, while some economies like Hong Kong and Israel are almost at the turning point. These findings support the argument that majority of the Asian economies have not yet reached the ideal phase where economic growth decouples with environmental degradation.

show abstract

Untitled

Cited by 2 publications

References 30 publications

Determinants of environmental degradation: reflections on the impact of identified economic variables on the environment

Determinants of environmental degradation: reflections on the impact of identified economic variables on the environment

Analyzing Pollution Emissions and Economic Growth in Asia Through the Lens of the Environmental Kuznets Curve

Contact Info

Product

Resources

About