RETRACTED ARTICLE: Analyzing of innovations influence on economic growth by fuzzy system

Igor Mladenović, Miloš Milovančević () and Svetlana Sokolov-Mladenović
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Igor Mladenović: University of Niš, Faculty of Economics
Miloš Milovančević: University of Niš, Faculty of Mechanical Engineering
Svetlana Sokolov-Mladenović: University of Niš, Faculty of Economics

Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 3, No 21, 1297-1304

Abstract: Abstract Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth prediction based on the innovations by field of technology. Gross domestic product (GDP) was used as economic growth indicator. The method of adaptive neuro fuzzy inference system (ANFIS) was applied to the data in order to detect the influential parameters for the GDP prediction. Five inputs are considered: number of granted patents in electrical engineering, number of granted patents as instruments, number of granted patents in chemistry, number of granted patents in mechanical engineering and the number of granted patents in other fields. Results shown that the innovations in electrical engineering has the highest influence on the GDP prediction.

Keywords: ANFIS; Innovations; Gross domestic product (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11135-016-0331-4

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