Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2054456
Energy efficiency and China’s sustainable carbon neutrality target: evidence from novel research methods quantile on quantile regression approach
Zongke Bao
Diogo Ferraz
Daisy Aparecida do Nascimento Rebelatto
Sažetak
Since the last few decades, scholars and policy-makers have been
struggling to find ways to achieve carbon neutrality target or a
low carbon economy. To contribute to the existing literature
regarding the said issue, this study aims to investigate whether
energy efficiency could lead to achieving carbon neutrality target
in the case of China. Also, this study analyses the association of
economic growth to energy-related greenhouse gas emissions
while using quarterly data over the period from 1990Q1 to
2014Q2. Empirical findings of the study suggest the mixed order
of integration and Cointegration between economic growth,
energy efficiency, and energy-related greenhouse gas emissions.
This study employed a Quantile-on-Quantile regression approach
to examine the long-run association at various quantiles. The estimated results asserted that energy efficiency holds a weaker relationship in the lower and medium quantiles, while relatively
higher association to energy-related emission in the upper quantiles. On the other hand, economic growth and its squared are
found significantly and highly associated with enhancing energyrelated emissions in the country. Besides, the frequency domain
causality indicates a causal association running from energy efficiency and economic growth to energy-related greenhouse gas
emissions. This study recommends revised policies for energy efficiency and suggests that economic growth could be used as a
remedial measure for environmental recovery by enhancing
investment in the renewable energy sector, energy efficiency, and
structural transformation of the industrial sector.
Ključne riječi
Energy efficiency; economic growth; greenhouse gas; emissions; quantile-onquantile regression; frequency domain causality
Hrčak ID:
303027
URI
Datum izdavanja:
31.3.2023.
Posjeta: 153 *