Original scientific paper
https://doi.org/10.1080/1331677X.2021.2019598
Asymmetric effects of eco-innovation and human capital development in realizing environmental sustainability in China: evidence from quantile ARDL framework
Cheng Jin
Asif Razzaq
Faiza Saleem
Avik Sinha
Abstract
The present study investigates the dynamic and asymmetric impacts
of eco-innovation and human capital development on ambient pollution by validating the Environment Kuznets Curve (EKC) hypothesis
in China from 1988Q1 to 2018Q4. The findings confirm non-normality and structural breaks in data. Thus, Quantile Autoregressive
Distributive Lag (QARDL) model and Granger Causality-in-Quantiles
are applied to address non-linearity and structural breaks. The longrun results exhibit that eco-innovation and human capital have a significant negative relationship with carbon emissions, mainly from
lower (0.05) to medium (0.5) quantiles and medium (0.50) to higher
(0.95) emissions quantile. Moreover, economic growth contributes to
higher emissions across all quantiles. In contrast, the square of economic growth has a significant negative association with emissions,
confirming the validity of EKC from medium (0.40) to higher (0.95)
quantiles. Lastly, Granger causality confirms a two-way causality
between eco-innovation, human capital, and carbon emissions, and
a one-way causality from human capital, economic growth to carbon
emissions. These findings offer valuable policy recommendations.
Keywords
Eco-innovation; human capital; environmental sustainability; carbon emissions; quantile ARDL
Hrčak ID:
302782
URI
Publication date:
31.3.2023.
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