Intissar Seyagh – Ibn Tofail University Kenitra, Morocco

Abderrahim Kerkouch – Ibn Tofail University Kenitra, Morocco

Aziz Bensbahou – Ibn Tofail University Kenitra, Morocco

Keywords:
Energy poverty;
Spatial Markov chains;
Dynamic approach

DOI: https://doi.org/10.31410/EMAN.S.P.2023.127

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: https://doi.org/10.31410/EMAN.S.P.2023

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission. 

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. https://doi.org/10.31410/EMAN.S.P.2023.127

REFERENCES

Dehghan Shabani, Z., & Shahnazi, R. (2020). Spatial distribution dynamics and prediction of COVID-19 in Asian countries: spatial Markov chain approach. Regional Science Policy & Practice, 12(6), 1005-1025. https://doi.org/10.1111/rsp3.12372

Flodén, M. (2008). A note on the accuracy of Markov-chain approximations to highly per­sistent AR(1) processes. Economics Letters, 99(3), 516-520. https://doi.org/10.1016/j.econlet.2007.09.040

Galindev, R., & Lkhagvasuren, D. (2010). Discretization of highly persistent correlated AR(1) shocks. Journal of Economic Dynamics and Control, 34(7), 1260-1276. https://doi.org/10.1016/j.jedc.2010.02.006

Khanna, R. A., Li, Y., Mhaisalkar, S., Kumar, M., & Liang, L. J. (2019). Comprehensive energy poverty index: Measuring energy poverty and identifying micro-level solutions in South and Southeast Asia. Energy Policy, 132, 379-391. https://doi.org/10.1016/j.enpol.2019.05.034

Kopecky, K. A., & Suen, R. M. H. (2010). Finite state Markov-chain approximations to highly per­sistent processes. Review of Economic Dynamics, 13(3), 701-714. https://doi.org/10.1016/j.red.2010.02.002

LeSage, J. P., & Cashell, B. A. (2015). A comparison of vector autoregressive forecasting perfor­mance: spatial versus non-spatial Bayesian priors. The Annals of Regional Science, 54(2), 533-560. https://doi.org/10.1007/s00168-015-0665-1

Matenga, Z. (2022). Assessment of energy market’s progress towards achieving Sustainable De­velopment Goal 7: A clustering approach. Sustainable Energy Technologies and Assess­ments, 52, 102224. https://doi.org/10.1016/j.seta.2022.102224

Pereira, G., González, A., & Ríos, R. (2021). Capturing Multidimensional Energy Poverty in South America: A Comparative Study of Argentina, Brazil, Uruguay, and Paraguay. Fron­tiers in Sustainable Cities, 3. https://doi.org/10.3389/frsc.2021.632009 

Rey, S. J., Kang, W., & Wolf, L. (2016). The properties of tests for spatial effects in discrete Markov chain models of regional income distribution dynamics. Journal of Geographical Systems, 18(4), 377-398. https://doi.org/10.1007/s10109-016-0234-x 

Salman, M., Zha, D., & Wang, G. (2022). Assessment of energy poverty convergence: A global analysis. Energy, 255, 124579. https://doi.org/10.1016/j.energy.2022.124579 

Tauchen, G. (1986). Finite state markov-chain approximations to univariate and vector autore­gressions. Economics Letters, 20(2), 177-181. https://doi.org/10.1016/0165-1765(86)90168-0 

Tauchen, G., & Hussey, R. (1991). Quadrature-Based Methods for Obtaining Approximate Solutions to Nonlinear Asset Pricing Models. Econometrica, 59(2), 371. https://doi.org/10.2307/2938261  

Terry, S. J., & Knotek, E. S., II. (2011). Markov-chain approximations of vector autoregres­sions: Application of general multivariate-normal integration techniques. Economics Let­ters, 110(1), 4-6. https://doi.org/10.1016/j.econlet.2010.09.008 

Zhang, D., Li, J., & Han, P. (2019). A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies. Ener­gy Policy, 131, 72-81. https://doi.org/10.1016/j.enpol.2019.04.037 

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