Unraveling the nexus: China's economic policy uncertainty and carbon emission efficiency through advanced multivariate quantile-on-quantile regression analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A101584" target="_blank" >RIV/60460709:41110/24:101584 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0301421524000776" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0301421524000776</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.enpol.2024.114057" target="_blank" >10.1016/j.enpol.2024.114057</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unraveling the nexus: China's economic policy uncertainty and carbon emission efficiency through advanced multivariate quantile-on-quantile regression analysis

Popis výsledku v původním jazyce

The pursuit of green economic development, coupled with the endeavor towards achieving dual carbon objectives, has opened new pathways for sustainable progress in China. Nevertheless, the realization of the Sustainable Development Goals is closely intertwined with economic policy fluctuations. In this context, our study investigates the influence of economic policy uncertainty on the efficiency of carbon emissions in China over the period from 2005 to 2021. We employ the Multivariate Quantile-on-Quantile (m-QQR) Regression approach to dissect the tail dependence of model parameters amidst this uncertainty. The findings highlight how China's carbon emission efficiency is influenced by exogenous factors, including GDP per capita, energy consumption intensity, green building integration, and international trade openness. Furthermore, the analysis reveals nuanced dependencies across various quantiles. By elucidating these dynamics, this research provides valuable insights aimed at guiding China toward its dual -carbon goals and promoting the growth of a sustainable green economy.

Název v anglickém jazyce

Unraveling the nexus: China's economic policy uncertainty and carbon emission efficiency through advanced multivariate quantile-on-quantile regression analysis

Popis výsledku anglicky

The pursuit of green economic development, coupled with the endeavor towards achieving dual carbon objectives, has opened new pathways for sustainable progress in China. Nevertheless, the realization of the Sustainable Development Goals is closely intertwined with economic policy fluctuations. In this context, our study investigates the influence of economic policy uncertainty on the efficiency of carbon emissions in China over the period from 2005 to 2021. We employ the Multivariate Quantile-on-Quantile (m-QQR) Regression approach to dissect the tail dependence of model parameters amidst this uncertainty. The findings highlight how China's carbon emission efficiency is influenced by exogenous factors, including GDP per capita, energy consumption intensity, green building integration, and international trade openness. Furthermore, the analysis reveals nuanced dependencies across various quantiles. By elucidating these dynamics, this research provides valuable insights aimed at guiding China toward its dual -carbon goals and promoting the growth of a sustainable green economy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50201 - Economic Theory

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ENERGY POLICY

ISSN

0301-4215

e-ISSN

0301-4215

Svazek periodika

188

Číslo periodika v rámci svazku

Neuvedeno

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

12

Strana od-do

—

Kód UT WoS článku

001221909900001

EID výsledku v databázi Scopus

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