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Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives

Authors: Li, Guo; Zakari, Abdulrasheed; Tawiah, Vincent;

Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives

Abstract

Abstract Circular economy is one effective strategy to achieve a healthy environment and efficient use of resources. In this study, the trade relationship between China and Nigeria is used to establish how circular economy ameliorates climate change. On the basis of CO2 emissions, data from 1991 to 2014 are obtained and measures for energy efficiency in the mining and extractive-related sectors from energy intensity are derived using Fisher ideal index decomposition. This study utilizes panel-corrected standard error, feasible generalized least squares, autoregressive distribute lag bound, and Bayesian VAR models. These techniques suggest that energy efficiency in the mining and extractive-related sector and the circular economy have not translated into CO2 emission reduction in both countries. However, economic growth, energy use (non-renewable energy), and clean energy substitution (renewable energy) are essential factors in mitigating CO2 emissions. Given such evidence, resource melioration for energy consumption and economic growth have indispensable roles in reducing CO2 emissions.

Country
Ireland
Related Organizations
Keywords

Circular economy, 330, Economics, 381, CO2 emissions, energy resource melioration, efficiency, trade

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    84
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
84
Top 1%
Top 10%
Top 1%
Green