Philippine Ranking in Selected Global Indices: A Neural Perceptron Analysis

Authors

  • Jesus Juevesano Lead Investigator, Faculty, Bukidnon State University, Philippines.
  • Adrian Tamayo Faculty, University of Mindanao, Master in Public Safety Administration CL 2022-24, Philippine Public Safety College, Public Relations Chief, Mindanao Development Authority, Philippines.
  • Venus Ortuyo-Alod PLtCol Venus Ortuyo-Alod, Deputy for Operations, Davao del Sur Provincial Police Office, Master in Public Safety Administration CL 2022-24, Philippine Public Safety College, Philippines.
  • Hamlet Lerios PLtCol Hamlet Lerios, Chief of Police, Digos City Police Station, Master in Public Safety Administration CL 2022-24, Philippine Public Safety College, Philippines.
  • Robert Mutia Jail Chief Inspector, Bureau of Jail Management and Penology, Master in Public Safety Administration CL 2021-23, Philippine Public Safety College, Ph.D. Candidate, De La Salle Araneta University, Philippines.

Keywords:

Global index, Philippine ranking, Artificial Neural Network, Peace and Security.

Abstract

This study measured the relative ranking of the Philippines in selected global indices from 2006-2021. The global indices include Democracy Index (DI), Corruption Perception Index (CPI), Global Innovation Index (GII), Security Threat Index (STI), Uneven Development Index (UDI), Public Service Index (PSI), Global Peace Index (GPI) and the Business Freedom Index (BFI). Employing the Kendall Tau rank correlation, the Democracy Index (DI), Security Threat Index (STI) are the most common indices that have association with all other variables. The Corruption Perception Index and Public Service Index also maintain multiple correlations with other variables. However, the significant association does not speak of causality, hence the Artificial Neural Network (ANN) was used. The ANN was chosen because of its strength in showing relationships of variables without the strictures of linear relationship. The ANN mimics the workings of the brain with the neural nodes and synaptic weights that influence the brain processing. The activation function was employed following a sigmoid non-linear system. Testing and training were found to be fast and qualified for a good model fit. The neural system representing the neural nodes of DI, CPI, GII, PSI, BFI and STI reveal positive synaptic weights for Uneven Development Index (UDI). An importance analysis under the feed forward network reveals that Global Peace Index (GPI), Security Threat Index (STI), and Public Service Index (PSI) are the top three global index that carry high weight values on the Uneven Development Index in the Philippines. This means that peace, security and good governance are the tri-pillar of the country’s ascent in the global ranking.

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Published

2022-09-10

How to Cite

Jesus Juevesano, Adrian Tamayo, Venus Ortuyo-Alod, Hamlet Lerios, & Robert Mutia. (2022). Philippine Ranking in Selected Global Indices: A Neural Perceptron Analysis. International Journal of Recent Innovations in Academic Research, 6(9), 1–13. Retrieved from https://ijriar.com/index.php/ijriar/article/view/456