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Functional analysis in R: A new approach to sustainability indicators in the context of regional development

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F23%3A43906943" target="_blank" >RIV/60076658:12510/23:43906943 - isvavai.cz</a>

  • Result on the web

    <a href="http://omp.ef.jcu.cz/index.php/EF/catalog/book/88" target="_blank" >http://omp.ef.jcu.cz/index.php/EF/catalog/book/88</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.32725/978-80-7694-053-6.04" target="_blank" >10.32725/978-80-7694-053-6.04</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Functional analysis in R: A new approach to sustainability indicators in the context of regional development

  • Original language description

    Digitalisation, together with new possibilities for data analysis, is currently gaining importance for regional development. This study focusses on the use of advanced statistical methods in R software, such as generalised linear models (GLM) and envelope methods from the GET package, to analyse time series of sustainability indicators in EU regions at the NUTS level. Analysis of selected sustainability indicators, such as the Human Development Index in its variants from the United Nations and the EU, compared to GDP shows that these methods enable effective identification of key trends and differences between groups of regions, while also identifying regions with similar trajectories. They also allow for advanced visualisation of the results, illustrating the effectiveness of EU cohesion policies at the regional level and their impact on reducing regional disparities. The analysis shows that functional analysis tools in R can be used for further research on sustainability in EU regions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

  • Article name in the collection

    Proceedings of the 17th International Scientific Conference:Challenges and Opportunities in the Digital World.

  • ISBN

    978-80-7694-053-6

  • ISSN

    2336-6788

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    29-35

  • Publisher name

    Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Nov 2, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article