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Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution

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  • Reza Ashraf Ganjoei
  • Hossein Akbarifard
  • Mashaallah Mashinchi
  • Sayyed Abdol Majid Jalaee Esfandabadi

Abstract

The main focus of this paper is to extend fuzzy regression and its application. Therefore, we used nonlinear modeling to investigate the impact of information and communication technology (ICT) on the Gini coefficient. Hence, we calculated the three borders upside, medium, and downside of the Gini coefficient. We found no evidence of reduced income inequality when decreasing the use of ICT goods. However, with the increased use of ICTs, income inequality decreases over time. Also, the results showed that the effect of ICT commodities on the Gini coefficient was the inverted U situation. Understanding this impact is very important from the perspective of planning and building infrastructure for poverty reduction.

Suggested Citation

  • Reza Ashraf Ganjoei & Hossein Akbarifard & Mashaallah Mashinchi & Sayyed Abdol Majid Jalaee Esfandabadi, 2021. "Applying of Fuzzy Nonlinear Regression to Investigate the Effect of Information and Communication Technology (ICT) on Income Distribution," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-11, June.
    • Handle: RePEc:hin:jnlmpe:5545213
    DOI: 10.1155/2021/5545213
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    Cited by:

    1. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2023. "The use of ICTs and income distribution in Brazil: A machine learning explanation using SHAP values," Telecommunications Policy, Elsevier, vol. 47(8).

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