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Infrastructure development, human development index, and CO2 emissions in China: A quantile regression approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020267" target="_blank" >RIV/62690094:18450/23:50020267 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fenvs.2023.1114977/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fenvs.2023.1114977/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fenvs.2023.1114977" target="_blank" >10.3389/fenvs.2023.1114977</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Infrastructure development, human development index, and CO2 emissions in China: A quantile regression approach

  • Original language description

    This study investigates the relationships between infrastructure development, human development index (HDI), and CO2 emissions in China. Infrastructure has played an essential role in achieving social and economic developmental goals in China, but environmental pollution has significantly increased in the country in the last two decades. Our analysis uses time series data from 1990 to 2021 and quantile regressions, and we find that infrastructure has positive and statistically significant relationships with HDI, CO2 emissions, and GDP in all quantiles. Recent infrastructure upgrades improve living standards and increase HDI but damage the environment, and infrastructure is the main source of CO2 emissions in the country. Therefore, the government should invest in sustainable infrastructure to mitigate CO2 emissions. The government may consider infrastructure options such as low carbon transportation, including railway infrastructure, urban metros, and light rail.

  • 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

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    FRONTIERS IN ENVIRONMENTAL SCIENCE

  • ISSN

    2296-665X

  • e-ISSN

    2296-665X

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    January

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    "Article Number: 1114977"

  • UT code for WoS article

    000934930200001

  • EID of the result in the Scopus database

    2-s2.0-85147710321