Literature DB >> 29929327

Assessment of contribution of Australia's energy production to CO2 emissions and environmental degradation using statistical dynamic approach.

Samuel Asumadu Sarkodie1, Vladimir Strezov2.   

Abstract

Energy production remains the major emitter of atmospheric emissions, thus, in accordance with Australia's Emissions Projections by 2030, this study analyzed the impact of Australia's energy portfolio on environmental degradation and CO2 emissions using locally compiled data on disaggregate energy production, energy imports and exports spanning from 1974 to 2013. This study employed the fully modified ordinary least squares, dynamic ordinary least squares, and canonical cointegrating regression estimators; statistically inspired modification of partial least squares regression analysis with a subsequent sustainability sensitivity analysis. The validity of the environmental Kuznets curve hypothesis proposes a paradigm shift from energy-intensive and carbon-intensive industries to less-energy-intensive and green energy industries and its related services, leading to a structural change in the economy. Thus, decoupling energy services provide better interpretation of the role of the energy sector portfolio in environmental degradation and CO2 emissions assessment. The sensitivity analysis revealed that nonrenewable energy production above 10% and energy imports above 5% will dampen the goals for the 2030 emission reduction target. Increasing the share of renewable energy penetration in the energy portfolio decreases the level of CO2 emissions, while increasing the share of non-renewable energy sources in the energy mix increases the level of atmospheric emissions, thus increasing climate change and their impacts.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Australia; Disaggregate energy; EKC hypothesis; Econometrics; Emission reduction

Year:  2018        PMID: 29929327     DOI: 10.1016/j.scitotenv.2018.05.204

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Effect of energy consumption and economic growth on carbon dioxide emissions in Pakistan with dynamic ARDL simulations approach.

Authors:  Muhammad Kamran Khan; Jian-Zhou Teng; Muhammad Imran Khan
Journal:  Environ Sci Pollut Res Int       Date:  2019-06-14       Impact factor: 4.223

2.  CO2 emissions-energy consumption-militarisation-growth nexus in South Africa: evidence from novel dynamic ARDL simulations.

Authors:  Charles Shaaba Saba
Journal:  Environ Sci Pollut Res Int       Date:  2022-10-07       Impact factor: 5.190

  2 in total

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