Work

Application of Linear Regression for Predicting Digital Trajectories of Beninese Municipalities

Year: 2025

Type: article

Abstract: Background: Anticipating digital development trajectories is crucial for strategic planning and resource allocation in municipal governance. This research applies linear regression analysis within a Decision Support System (DSS) framework to predict digital development trajectories of Beninese municipalities, building on data infrastructure and K-Means clustering results from companion studies. Objective:To establish a framework for implementing regression models capable of forecasting the evolution of key territorial digitization indicators, while defining methodological and technical prerequisites for predictive approaches. Methods:Using a standardized 45-indicator framework across multiple thematic domains, sixyears of historical data covering all 77 municipalities (462 municipality-year observations) were analyzed. Regression models incorporated temporal trend analysis and municipality-specific specifications. Validation was performed through temporal and cross-sectional approaches.

Source: International Journal of Advanced Research

DOI: 10.21474/ijar01/21586

Authors: Narcisse Arsene Dagba, Aziz Saibou, Theophile Aballo

Institution: Université d'Abomey-Calavi

Language: English

Topic: E-Government and Public Services

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W4414067859