Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2021.1997627
Dynamic and casual association between green investment, clean energy and environmental sustainability using advance quantile A.R.D.L. framework
Yunpeng Sun
Haoning Li
Kun Zhang
Hafiz Waqas Kamran
Sažetak
This study examines the dynamic and causal relationship between
green investment (G.I.), clean energy (C.E.), economic growth, and
environmental sustainability with the help of an innovative
approach named as quantile autoregressive distributed lagged
(Q.A.R.D.L.) model using quarterly data from Q1-1995 to Q4-2019
for China. Our preliminary findings confirm data non-normality
and structural breaks in all data series. Therefore, we have applied
Q.A.R.D.L. that efficiently deals with these issues. We have further
applied the Granger-causality in quantiles to check the causal
association among the variables of interest. The findings through
Q.A.R.D.L. estimation confirm that the error correction parameter
is statistically significant with expected negative sign across major
quantiles. In the long run, the results confirm that both C.E., and
G.I. are significant mitigants of environmental pollution, however
their emissions mitigating effects varies across lower, middle, and
higher emissions quantiles. Furthermore, the findings through
Granger-causality test confirm the existence of two-way causality
between G.I., C.E., and carbon emissions across all quantiles.
These results offer valuable policy implications.
Ključne riječi
green investment (G.I.); clean energy (C.E.); carbon emission; quantile autoregressive distributed lagged (Q.A.R.D.L.); China
Hrčak ID:
302615
URI
Datum izdavanja:
31.3.2023.
Posjeta: 256 *