RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

Abstract

Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth forecasting based on the different factors. The main goal was to analyze the influence of science and technology factors on the economic growth. 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 select the most influential factors for the GDP growth rate forecasting. Ten inputs are considered: research and development (R&D) expenditure in GDP, scientific and technical journal articles, patent applications for nonresidents, patent applications for residents, trademark applications for nonresidents, trademark applications for residents, total trademark applications, researchers in R&D, technicians in R&D and high-technology exports. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of GDP growth rate.

Research on the Dynamic Interrelationship among R&D Investment, Technological Innovation, and Economic Growth in China

“…The scientific and technological achievements of basic research are mainly based on papers, and the achievements of applied and development research are mainly based on patents [41]. Therefore, according to the research of Markovic, et al [42] and Zhao, et al [40], this study used the total number of Chinese papers and the number of papers published by Chinese researchers in domestic and foreign journals collected by the major international search engines as the measurement indicators of scientific and technological achievements of basic research. The number of patent applications and the number of patent grants were used as the measurement indicators of the achievements of applied and development research.…”

Retraction Note: Determination of the most influential factors for number of patents prediction by adaptive neuro-fuzzy technique

“…The Editor-in-Chief has retracted this article (Milovančević et al 2016) because validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the article cited (Marković et al 2016)), peer review and authorship manipulation. Author Dušan Marković stated he was not aware of being included as an author of this article.…”

Retraction Note: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

“…The Editor-in-Chief has retracted this article Marković et al (2016) because validity of the content of this article cannot be verified. This article showed evidence of peer review and authorship manipulation.…”