Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2106281
Energy efficiency and environmental degradation nexus: evidence from the Quantile-on-Quantile regression technique
Lu Xu
Fengjiao Long
Xijing Liu
Diyuan Xu
Yuping Shang
Sažetak
The world is facing enormous challenge of climate change and
global warming due to increased emission level. In order to overcome
such challenges, economies are adopting energy efficient
techniques to control the carbon emissions and improves environmental
sustainability. This study analyses the influencing factors
of environmental quality from a global perspective throughout
the last three decades. In this regard, advanced time series
approaches are used to identify the association between factors
such as economic growth, energy efficiency (E.N.E.F.), and carbon
emissions – covering global data over the period 1990Q4–2020Q4.
From the time series methods, this study observed the stationarity
of all variables at first difference. The empirical outcomes also
validates the long-run equilibrium relationship between the variables.
Due to asymmetric distribution of the variables, this study
uses the novel Quantile-on-Quantile (Q.Q.) regression approach,
which reveals that increasing economic growth harms environmental
quality by increasing the carbon emissions level. However,
E.N.E.F. is a prominent factor of environmental sustainability, that
reduces the level of carbon emissions in the atmosphere.
Employing the pairwise Granger causality test, this study observed
the unidirectional causality from economic growth to carbon
emissions, while a two-way causal nexus is found between economic
growth – E.N.E.F. and E.N.E.F. – carbon emissions. Based on
the empirical results, this study suggests that economic growth
should be regulated in a sense that it contribute towards the
improvement of E.N.E.F., which ultimately leads to reduce the
emissions level and promote environmental sustainability.
Ključne riječi
energy efficiency; economic growth; carbon emissions; Quantile-on-Quantile (Q.Q.); Granger causality
Hrčak ID:
306629
URI
Datum izdavanja:
30.4.2023.
Posjeta: 165 *