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2023, vol. 18, br. 1, str. 1-26
Strukturni PCA-MLR model inovacionog okruženja u zemljama BRIKS-a
Srpska akademija nauke i umetnosti (SANU), Matematički institut, Beograd, Srbija

e-adresaivana993@turing.mi.sanu.ac.rs
Sažetak
Proces globalizacije izaziva promene na tržištu u formi intenzivne konkurencije. Ekonomije mogu opstati sticanjem konkurentske prednosti na globalnom tržištu putem razvoja inovacija. Glavni cilj ovog empirijskog istraživanja je otkrivanje najvažnijih komponenti inovacija koje čine strukturu globalnog indeksa inovacija (GII) i evaluacija njihovog uticaja na ovo rangiranje u zemljama BRIKS-a. Podaci o inovacionom procesu prikupljeni su na osnovu rezultata rangiranja GII akumuliranih od 2011. do 2021 godine. Rezultat analize glavnih komponenti (PCA) predlaže devet komponenti koje predstavljaju sedam dimenzija. Izdvojene komponente se dalje koriste u regresionoj analizi kako bi se formirala jednačina višestruke linearne regresije (MLR) za predviđanje GII rezultata koji se koriste u ukupnom rangiranju. Dobijeno MLR rešenje ukazuje na važne MLR rezultate sa visokim koeficijentom determinacije, gde se 98,2% vrednosti GII objašnjava izdvojenim komponentama. Dominantni efekti na GII postižu se putem komponenti opšta infrastruktura i radnici znanja. Štaviše, uporedna analiza stvarnih i izračunatih GII rezultata pokazuje preklapanje od 99,1% između ove dve vrednosti. Procenjeni rezultati PCA-MLR analize služe za analizu uspeha razvoja inovacionih performansi u zemljama u razvoju upoređivanjem indeksa inovacija koji postižu zemlje BRIKS-a.
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.5937/sjm18-32136
primljen: 18.04.2022.
prihvaćen: 21.11.2022.
objavljen u SCIndeksu: 30.06.2023.
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