Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2125034
Influence of ecological innovation and green energy investment on unemployment in China: evidence from advanced quantile approach
Xudong Zhang
Fei Liu
Hai Wang
Rabia Nazir
Sažetak
This study investigates the dynamic and asymmetric effects of ecological
innovation and green energy investment on China’s
unemployment from 1995 to 2020. The study has applied Quantile
Autoregressive Distribution Lag (QARDL) model to explore the association
between the study variables at different grids of quartiles.
The overall results reveal that environmental technology and clean
energy investments have a negative employment impact in the
short-run and long-run, while environmental technology’s significance
is high in the short-run only. It implies that environmental
technology and clean energy investments create ample job opportunities
in China’s energy sector and significantly address the growing
unemployment issue. Moreover, the study examines the directional
association among the variables by applying the Quantiles Granger
Causality. It suggests a bidirectional causality between clean energy
investment and unemployment, while a unidirectional relationship is
observed between environmental technology and unemployment.
These findings offer relevant policy recommendations.
Ključne riječi
Ecological innovation; green energy investments; sustainability; unemployment; China; QARDL
Hrčak ID:
306667
URI
Datum izdavanja:
30.4.2023.
Posjeta: 411 *