Intissar Seyagh – Ibn Tofail University – Kenitra, Morocco

Aziz Bensbahou – Ibn Tofail University – Kenitra, Morocco

Keywords:                    Energy consumption;
Renewable energy;
Energy efficiency;
Input-output model

DOI: https://doi.org/10.31410/ERAZ.S.P.2023.23

Abstract: This article presents a multi-regional assessment of energy con­sumption optimization in Morocco using an inter-regional input-output model in 2019. It aims to present a theoretical analysis of energy optimization and sustainable development models. The study results reveal that different regions of Morocco face distinct challenges in energy consumption and that certain sectors such as oil refining and energy products, electricity and water, as well as transportation, have the highest energy consumption multipliers, suggesting that investment in renewable energy sources and energy efficien­cy initiatives are essential to reducing energy consumption in the long term and helping Morocco to achieve its energy efficiency objectives.

9th International Scientific ERAZ Conference – ERAZ 2023 – Selected Papers: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, hybrid – online, virtually and in person, Prague, Czech Republic, June 1, 2023

ERAZ Selected Papers published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia

ERAZ conference partners: Faculty of Logistics, University of Maribor, Maribor (Slovenia); University of National and World Economy – UNWE, Sofia (Bulgaria); Center for Political Research and Documentation (KEPET), Research Laboratory of the Department of Political Science of University of Crete (Greece); Institute of Public Finance – Zagreb (Croatia); Faculty of Tourism and Hospitality Ohrid, University of St. Kliment Ohridski from Bitola (North Macedonia)

ERAZ Conference 2023 Selected Papers: ISBN 978-86-80194-73-8, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.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., & Bensbahou, A. (2023). Interregional Analysis of Energy Consumption and Sustainable Development in Morocco. In V. Bevanda (Ed.), ERAZ Conference – Knowlegde Based Sustainable Development: Vol 9. Selected Papers (pp. 23-32). Association of Economists and Managers of the Balkans. https://doi.org/10.31410/ERAZ.S.P.2023.23

References

Bekhet, H. A., Abdullah, T. A. R. b. T., & Yasmin, T. (2016). Measuring Output Multipliers of Ener­gy Consumption and Manufacturing Sectors in Malaysia during the Global Financial Crisis. Procedia Economics and Finance, 35, 179-188. https://doi.org/10.1016/s2212-5671(16)00023-x 

Boulakhbar, M., Lebrouhi, B., Kousksou, T., Smouh, S., Jamil, A., Maaroufi, M., & Zazi, M. (2020). Towards a large-scale integration of renewable energies in Morocco. Journal of En­ergy Storage, 32, 101806. https://doi.org/10.1016/j.est.2020.101806 

Dettner, F., & Blohm, M. (2021). External cost of air pollution from energy generation in Mo­rocco. Renewable and Sustainable Energy Transition, 1, 100002. https://doi.org/10.1016/j.rset.2021.100002 

Feto, A., Jayamohan, M. K., & Vilks, A. (2023). Applicability and Accomplishments of DSGE Modeling: A Critical Review. Journal of Business Cycle Research, 19(2), 213-239. https://doi.org/10.1007/s41549-023-00087-z  

Fragkos, P. (2023). Assessing the energy system impacts of Morocco’s nationally determined contribution and low-emission pathways. Energy Strategy Reviews, 47, 101081. https://doi.org/10.1016/j.esr.2023.101081 

Haddad, E., & Hewings, G. (2004). Transportation costs, increasing returns and regional growth: An interregional CGE analysis.

Hong, J., Gu, J., Liang, X., Liu, G., Shen, G. Q., & Tang, M. (2019). Spatiotemporal investigation of energy network patterns of agglomeration economies in China: Province-level evidence. Energy, 187, 115998. https://doi.org/10.1016/j.energy.2019.115998 

Kimuli, I., Lubwama, M., Sebbit, A., & Kirabira, J. B. (2022). Macroeconomic effects of a low carbon electrification of greater Kampala Metropolitan area energy policy: A computable general equilibrium analysis. Energy Strategy Reviews, 43, 100909. https://doi.org/10.1016/j.esr.2022.100909  

Lenzen, M., Moran, D., Kanemoto, K., & Geschke, A. (2013). Building Eora: a global multi-region input-output database at high country and sector resolution. Economic Systems Research, 25(1), 20-49. https://doi.org/10.1080/09535314.2013.769938 

Leontief, W. W. (1936). Quantitative Input and Output Relations in the Economic Systems of the United States. The Review of Economics and Statistics, 18(3), 105. https://doi.org/10.2307/1927837 

Miller, R. E., & Blair, P. D. (2009). Input-Output Analysis. https://doi.org/10.1017/cbo9780511626982 

Mohammed, V. I., Araújo, I. F., Hattab, F. E., Anis, S., Mengoub, F. E., & Bourhriba, O. (2022). Structural Analysis of Short-Run Economic Scenarios for Morocco: A Multisectoral and Multiregional Approach.

Nejati, M., & Shah, M. I. (2023). How does ICT trade shape environmental impacts across the north-south regions? Intra-regional and Inter-regional perspective from dynamic CGE mod­el. Technological Forecasting and Social Change, 186, 122168. https://doi.org/10.1016/j.techfore.2022.122168 

Rocco, M., Rady, Y., & Colombo, E. (2018). Soft-linking bottom-up energy models with top-down input-output models to assess the environmental impact of future energy scenarios. Mod­elling, Measurement and Control C, 79(3), 103-110. https://doi.org/10.18280/mmc_c.790307 

Towa, E., Zeller, V., & Achten, W. M. (2020). Input-output models and waste management anal­ysis: A critical review. Journal of Cleaner Production, 249, 119359. https://doi.org/10.1016/j.jclepro.2019.119359 

Wang, F., Xu, B., Si, Y., Shang, Y., Zhang, W., Cai, B., Jiang, M., Xu, S., & Lu, S. (2023). Compo­nents and drivers of household water footprint inequality in China. Sustainable Production and Consumption, 43, 1-14. https://doi.org/10.1016/j.spc.2023.10.009 

Wen, Q., Hong, J., Liu, G., Xu, P., Tang, M., & Li, Z. (2020). Regional efficiency disparities in Chi­na’s construction sector: A combination of multiregional input-output and data envelopment analyses. Applied Energy, 257, 113964. https://doi.org/10.1016/j.apenergy.2019.113964 

White, D. J., Hubacek, K., Feng, K., Sun, L., & Meng, B. (2018). The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analy­sis. Applied Energy, 210, 550-567. https://doi.org/10.1016/j.apenergy.2017.05.159 

Yu, Y., Hubacek, K., Feng, K., & Guan, D. (2010). Assessing regional and global water foot­prints for the UK. Ecological Economics, 69(5), 1140-1147. https://doi.org/10.1016/j.ecolecon.2009.12.008  

Zhang, X., Su, B., Yang, J., & Cong, J. (2022). Analysis of Shanxi Province’s energy consumption and intensity using input-output framework (2002–2017). Energy, 250, 123786. https://doi.org/10.1016/j.energy.2022.123786  

Zhu, K., Liu, Q., Xiong, X., Zhang, Y., Wang, M., & Liu, H. (2022). Carbon footprint and embod­ied carbon emission transfer network obtained using the multi–regional input–output model and social network analysis method: A case of the Hanjiang River basin, China. Frontiers in Ecology and Evolution, 10, 941520. https://doi.org/10.3389/fevo.2022.941520