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Economic growth rate management by soft computing approach

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  • Maksimović, Goran
  • Jović, Srđan
  • Jovanović, Radomir

Abstract

Economic growth rate management is very important process in order to improve the economic stability of any country. The main goal of the study was to manage the impact of agriculture, manufacturing, industry and services on the economic growth rate prediction. Soft computing methodology was used in order to select the inputs influence on the economic growth rate prediction. It is known that the economic growth may be developed on the basis of combination of different factors. Gross domestic product (GDP) was used as economic growth indicator. It was found services have the highest impact on the GDP growth rate. On the contrary, the manufacturing has the smallest impact on the GDP growth rate.

Suggested Citation

  • Maksimović, Goran & Jović, Srđan & Jovanović, Radomir, 2017. "Economic growth rate management by soft computing approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 520-524.
    • Handle: RePEc:eee:phsmap:v:465:y:2017:i:c:p:520-524
    DOI: 10.1016/j.physa.2016.08.063
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    References listed on IDEAS

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