Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2124430
Novel research methods to evaluate renewable energy investment and environment: evidence from global data
Xiangchen Yan
Sažetak
The global economy is facing a severe threat of global warming
and climate change, where the primary cause of these issues is
regarded as the carbon dioxide emissions. To eradicate such issues,
this study tends to explore the global energy use, economic
growth, renewable electricity and carbon emission throughout
1990–2020. Using various time-series econometric specifications,
this study validates the stationarity of all these variables for the
long-run estimations. Besides, this study detects the issue of data
non-normality, due to which this study opted the novel and efficient
quantile-on-quantile regression. The estimated outcomes
asserted that energy use and economic growth significantly and
severely enhance global carbon emissions at higher quantiles,
whereas the magnitude of the influence is found weaker in the
lower and lower-middle quantiles, thus validating energy use and
economic growth as the factors of increased environmental degradation.
On the contrary, renewable electricity significantly
reduces the carbon emissions level only in the lower as and middle
quantile, while the influence non-negative at the higher quantiles.
This study recommends the use of renewable energy, increase
renewable’s investment, research and development, adoption
energy efficient approaches to reduce fossil energy.
Ključne riječi
Global energy use; carbon emissions; economic growth; renewable electricity; quantile-onquantile regression; frequency domain causality
Hrčak ID:
306665
URI
Datum izdavanja:
30.4.2023.
Posjeta: 334 *