All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    ENERGY POLICY

  • ISSN

    0301-4215

  • e-ISSN

    0301-4215

  • Volume of the periodical

    188

  • Issue of the periodical within the volume

    Neuvedeno

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    001221909900001

  • EID of the result in the Scopus database