Gross domestic product growth rate analyzing based on price indexes, import and export factors

Economic development could be presented by gross domestic product to show how different factors affect the development. Gross domestic product could be affected by different nonlinear factors in positive or negative way. Hence it is suitable to apply artificial intelligence techniques in order to tr...

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Main Authors: Petković Biljana, Kuzman Boris, Barjaktarević Miljana
Format: Article
Language:English
Published: Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt 2020-01-01
Series:Ekonomika Poljoprivrede (1979)
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/0352-3462/2020/0352-34622002405P.pdf
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spelling doaj-c6dcd0547deb493182c57c35887123b82020-11-25T04:11:26ZengNaučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, BukureštEkonomika Poljoprivrede (1979)0352-34622334-84532020-01-016724054150352-34622002405PGross domestic product growth rate analyzing based on price indexes, import and export factorsPetković Biljana0https://orcid.org/0000-0003-1859-804XKuzman Boris1https://orcid.org/0000-0002-8661-2993Barjaktarević Miljana2https://orcid.org/0000-0002-3491-9846Alfa BK University, Faculty of Finance, Banking and Auditing, Belgrade, SerbiaInstitute of Agricultural Economics, Belgrade, SerbiaAlfa BK University, Faculty of Finance, Banking and Auditing, Belgrade, SerbiaEconomic development could be presented by gross domestic product to show how different factors affect the development. Gross domestic product could be affected by different nonlinear factors in positive or negative way. Hence it is suitable to apply artificial intelligence techniques in order to track the gross domestic product variation in depend on the factors. AI techniques require only input and output data pairs in order to catch the output variations based on the input factors. Therefore in this study adaptive neuro fuzzy inference system was applied in order to select the most relevant factors for gross domestic product growth rate. These factors are whole sale price index, consumer price index in urban areas, consumer price index in rural areas, state per capita income, exports, import and industry income. Results shown that the whole sale price index has the highest relevance on the gross domestic product growth rate.https://scindeks-clanci.ceon.rs/data/pdf/0352-3462/2020/0352-34622002405P.pdfeconomic developmentprice indexesurban and rural factorsgross domestic product
collection DOAJ
language English
format Article
sources DOAJ
author Petković Biljana
Kuzman Boris
Barjaktarević Miljana
spellingShingle Petković Biljana
Kuzman Boris
Barjaktarević Miljana
Gross domestic product growth rate analyzing based on price indexes, import and export factors
Ekonomika Poljoprivrede (1979)
economic development
price indexes
urban and rural factors
gross domestic product
author_facet Petković Biljana
Kuzman Boris
Barjaktarević Miljana
author_sort Petković Biljana
title Gross domestic product growth rate analyzing based on price indexes, import and export factors
title_short Gross domestic product growth rate analyzing based on price indexes, import and export factors
title_full Gross domestic product growth rate analyzing based on price indexes, import and export factors
title_fullStr Gross domestic product growth rate analyzing based on price indexes, import and export factors
title_full_unstemmed Gross domestic product growth rate analyzing based on price indexes, import and export factors
title_sort gross domestic product growth rate analyzing based on price indexes, import and export factors
publisher Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt
series Ekonomika Poljoprivrede (1979)
issn 0352-3462
2334-8453
publishDate 2020-01-01
description Economic development could be presented by gross domestic product to show how different factors affect the development. Gross domestic product could be affected by different nonlinear factors in positive or negative way. Hence it is suitable to apply artificial intelligence techniques in order to track the gross domestic product variation in depend on the factors. AI techniques require only input and output data pairs in order to catch the output variations based on the input factors. Therefore in this study adaptive neuro fuzzy inference system was applied in order to select the most relevant factors for gross domestic product growth rate. These factors are whole sale price index, consumer price index in urban areas, consumer price index in rural areas, state per capita income, exports, import and industry income. Results shown that the whole sale price index has the highest relevance on the gross domestic product growth rate.
topic economic development
price indexes
urban and rural factors
gross domestic product
url https://scindeks-clanci.ceon.rs/data/pdf/0352-3462/2020/0352-34622002405P.pdf
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