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The Relationship Between Digital Performance and Production of Greenhouse Gas Emissions in EU Countries: Correlation Analysis and ANOVA Method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F23%3APU147941" target="_blank" >RIV/00216305:26510/23:PU147941 - isvavai.cz</a>

  • Result on the web

    <a href="https://online.agris.cz/archive/2023/01/02" target="_blank" >https://online.agris.cz/archive/2023/01/02</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7160/aol.2023.150102" target="_blank" >10.7160/aol.2023.150102</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Relationship Between Digital Performance and Production of Greenhouse Gas Emissions in EU Countries: Correlation Analysis and ANOVA Method

  • Original language description

    Agricultural activities produce the significant amounts of greenhouse gas emission. The importance of an ever-changing climate means that digital technologies and their environmental impact are more frequently discussed in the context of the 5th Industrial Revolution. It is important to minimize environmental threats and reduce production waste on the way to a sustainable path. The main scientific aim of the paper is to examine, based on correlation analysis and ANOVA method, the relationship between two variables, digital performance of individual EU countries expressed by the indicator Digital Economy and Society Index and production of Greenhouse Gas Emissions, specifically how digital technologies affect the environment and how to transform digital technologies to supporting the European Green Deal and accelerate sustainable growth. The reasons are that digital technologies can play an important role in reducing greenhouse gas emissions. According to the results, it has been proven that exists a positive correlation between two variables regarding as a weak correlation between DESI and GHG emissions. Analysis of variance indicates the highly significant differences between variables. Countries with the higher DESI index produce more Greenhouse gas emissions as well but in a weak manner.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    AGRIS on-line Papers in Economics and Informatics. Česká zemědělská univerzita v Praze GA IN

  • ISSN

    1804-1930

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    21-33

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85152397451