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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Naučno društvo agrarnih ekonomista Balkana, Beograd; Institut za ekonomiku poljoprivrede, Beograd i Akademija ekonomskih nauka, Bukurešt
2020-01-01
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Series: | Ekonomika Poljoprivrede (1979) |
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0352-3462/2020/0352-34622002405P.pdf |
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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 |
work_keys_str_mv |
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