Determinants of Telecommunication Infrastructure Index (TII) through Geographically Weighted Regression (GWR) in the Philippines

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ID: 286879
2022
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Abstract
Information and Communication Technology (ICT) continues to be a growing sector around the world. In the past, quality levels of ICT access, such as through Telecommunication Infrastructure Index (TII), were investigated by nations to help determine a country’s ICT infrastructure capacity. As such, the Department of Information and Communications Technology conducted the first National ICT Household Survey in 2019 to investigate the current state of ICT in the Philippines and see if there is a digital divide. The research aimed to determine how province locations play a role in TII and how this can be incorporated into a model that predicts TII levels in the country using Geographically Weighted Regression (GWR). The GWR model assigned different weights and models for each province based on the values of their nearby neighbors. Moran’s I showed that significant spatial autocorrelations exist across provinces on TII, percentage of household heads with secondary education, and income per capita among others. Results showed that the percentage of household heads with secondary education per province is a common determinant of TII of all provinces in the Philippines. Furthermore, income per capita was a significant determinant in many provinces with high TII. Lastly, the GWR model provided better results than other models tested with the baseline Ordinary Least Squares (OLS) model, with lowest Mean Square Error (MSE), lower Mean Absolute Error (MAE), and higher adjusted R2. Keywords: ICT Access, TII, GWR
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persistent_1760659936_68f189e0c2441 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ramos Jr., Romeo Clarence Carranza
Journal Malay Journal
Year 2022
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_math/12
Keywords Keywords not found

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