Preprint / Version 1

Identification of clusters based on socioeconomic, public governance, and digital transformation indicators in South American countries

##article.authors##

DOI:

https://doi.org/10.1590/0034-761220250174

Keywords:

public governance, digital transformation, socioeconomic development, e-government development index, regional clusters

Abstract

This study analyzes the relationship between public governance, digital transformation, and socioeconomic development in South America from 2005 to 2022. Indicators from the World Bank (WGI), Human Development Index (HDI), Gross Domestic Product (GDP), and the E-Government Development Index (EGDI) were used, applying cluster analysis (k-means) and multiple linear regression. The results reveal the segmentation of countries into three groups: (i) high performance in governance and digital government (Argentina – from 2016 onwards – Chile, and Uruguay); (ii) intermediate performance (Brazil, Colombia, Ecuador, Paraguay, and Peru); and (iii) low performance (Bolivia, Guyana, Suriname, and Venezuela). Countries with high HDI and robust regulatory quality demonstrate greater digital government maturity, while democratic participation showed a less expressive impact. The temporal analysis showed that digitalization in the public sector advances more steadily than human development, suggesting that its evolution may be less influenced by conjunctural factors. The findings reinforce the need for public policies aimed at reducing digital inequalities and strengthening digital governance in the region.

Downloads

Download data is not yet available.

Author Biographies

Rodrigo José Lima Almeida, Federal University of Tocantins

Doutorando em Governança e Transformação Digital pela Universidade Federal do Tocantins (UFT); Professor bolsista na Universidade Estadual do Tocantins (UNITINS).

Daniela Mascarenhas de Queiroz Trevisan, Federal University of Tocantins

Doutora em Modelagem Computacional de Sistema pela Universidade Federal do Tocantins (UFT); Professora da Universidade Federal do Tocantins (UFT).

Waldecy Rodrigues, Federal University of Tocantins

Pós-Doutorado em Economia pela Universidade de Brasília (UNB); Professor da Universidade Federal do Tocantins (UFT)

David Nadler Prata, Federal University of Tocantins

Doutor em Ciência da Computação pela Universidade Federal de Campina Grande (UFCG); Professor da Universidade Federal do Tocantins (UFT).

Diego de Castro Rodrigues, Federal University of Tocantins

Doutor em Ciência da Computação pela Universidade Federal de Goiás (UFG); Professor da Universidade Federal do Tocantins (UFT).

Posted

05/08/2026

How to Cite

Identification of clusters based on socioeconomic, public governance, and digital transformation indicators in South American countries. (2026). In SciELO Preprints. https://doi.org/10.1590/0034-761220250174

Section

Applied Social Sciences

Plaudit

Data statement

  • The research data is available on demand, condition justified in the manuscript