Determinants, Persistence and Dynamics of Energy Poverty in Morocco: An Empirical Assessment Using Spatial Markov Cover Image

Determinants, Persistence and Dynamics of Energy Poverty in Morocco: An Empirical Assessment Using Spatial Markov
Determinants, Persistence and Dynamics of Energy Poverty in Morocco: An Empirical Assessment Using Spatial Markov

Author(s): Intissar Seyagh, Abderrahim Kerkouch, Aziz Bensbahou
Subject(s): Social Sciences, Economy
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Energy poverty; Spatial Markov chains; Dynamic approach
Summary/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.