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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

7

Strana od-do

29-35

Název nakladatele

Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

2. 11. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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