Data & Policy (Jan 2024)

Identifying determinants of waste management access in Nouakchott, Mauritania: a logistic regression model

  • Seyid Abdellahi Ebnou Abdem,
  • Rida Azmi,
  • El Bachir Diop,
  • Meriem Adraoui,
  • Jérôme Chenal

DOI
https://doi.org/10.1017/dap.2024.22
Journal volume & issue
Vol. 6

Abstract

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Access to waste management services is crucial for urban sustainability, impacting public health, environmental well-being, and overall quality of life. This study employs logistic regression analysis on survey data collected from 1,032 household heads residing in Nouakchott, the capital of Mauritania. The survey investigated key household factors that determine access to waste management services. The findings reveal a significant interplay among waste service provision, the presence of cisterns, housing type and size, and access to electricity. Socioeconomic disparity in service access, with poorer housing formats like shacks receiving substandard services. In contrast, areas with robust electrification report better service access, although inconsistencies remain amid power outages. The research highlights the challenges faced by Riyadh municipality, particularly rapid growth and inadequate infrastructure, which hinder waste management efficiency. Overall, the results not only illuminate Nouakchott’s unique challenges in service provision but also propose actionable recommendations for a sustainable urban future. These recommendations aim to inform and guide targeted policies for improving living conditions and environmental sustainability in urban Mauritania.

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