Intissar Seyagh – Ibn Tofail University Kenitra, Morocco

Abderrahim Kerkouch – Ibn Tofail University Kenitra, Morocco

Aziz Bensbahou – Ibn Tofail University Kenitra, Morocco

Energy poverty;
Spatial Markov chains;
Dynamic approach


Abstract: The paper focuses on the issue of energy poverty in Morocco, which poses a significant challenge to the country’s economic and social progress. To better understand the dynamics of energy poverty, the authors employ spatial Markov chains to evaluate it at a regional level using a dynamic ap­proach that considers the changing nature of energy distribution and the eco­nomic environment. The study uses multidimensional measures of energy poverty, based on three key parameters: availability, access, and affordabili­ty of energy. The results show that most regions have a non-significant value, indicating that energy poverty between regions is generally similar. However, one region has a high value, and two regions have a low value, which means that energy poverty is higher or lower in these regions compared to others. The study also suggests future research investigating the impact of various variables, such as access to social services and economic growth, on energy poverty in Morocco.

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7th International Scientific Conference – EMAN 2023 – Economics and Management: How to Cope With Disrupted Times, Ljubljana, Slovenia, March 23, 2023, SELECTED PAPERS, published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-70-7, ISSN 2683-4510, DOI:

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Suggested citation
Seyagh, I., Kerkouch, A., & Bensbahou, A. (2023). Determinants, Persistence and Dynamics of Energy Poverty in Morocco: An Empirical Assessment Using Spatial Markov. In V. Bevanda (Ed.), International Scientific Conference – EMAN 2023: Vol 7. Selected Papers (pp. 127-133). Association of Economists and Managers of the Balkans.


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