Sociodemographic Determinants of Digital Administrative Efficiency: A Causal Analysis of Local Governments in Northern Peru

Abstract

This research examines the causal relationship between administrative efficiency and sociodemographic factors among state workers in northern Peru within the context of governmental digital transformation. Through a quantitative correlational-causal study, a sample of 368 state workers was analyzed via stratified probabilistic sampling. Inferential statistical tests, specifically the X² coefficient, were employed to determine causal relationships at a significance level of p<0.05. The results revealed significant correlations between administrative efficiency and variables such as gender (X²=0.763, p<0.05) and age (X²=0.659, p<0.05), with particular emphasis on the age group of 41–50 years. Surprisingly, no significant relationship was found between administrative efficiency and role performance (X²=0.139, p>0.05). These findings suggest that effectiveness in modern public administration is more closely linked to demographic factors than to functional roles, which has significant implications for human talent management policies in the public sector. While the study's geographic focus on northern Peru may limit its generalizability, the findings provide valuable insights for developing targeted training programs and inclusive policies in public administration. Practical recommendations include implementing age-diverse mentoring programs, developing gender-sensitive leadership initiatives, and creating adaptive professional development strategies that transcend traditional role boundaries. This research contributes to understanding how sociodemographic factors influence administrative efficiency in governmental digital transformation, offering evidence-based guidance for modernizing local public management.

Received: 30 November 2024 / Accepted: 16 February 2025 / Published: 06 March 2025