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The impacts of the Covid‐19 pandemic on employment in Cameroon: A general equilibrium analysis

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  • Ali Madai Boukar
  • Olivier Mbock
  • Jean‐Marc Malambwe Kilolo

Abstract

This paper presents a computable general equilibrium (CGE) model that assesses the impacts of the Covid‐19 pandemic on different economic sectors in Cameroon. A special feature of the CGE model used in this study is that it accounts for the importance of the informal sector in Cameroon. Indeed, more than 80% of the employed work in the informal sector, which is characterized by the precariousness and instability of income and employment over time and space. Simulation results suggest that economic sectors such as construction, education, hotels and restaurants and commerce should receive special attention, as they have experienced the most severe employments losses. This calls for a differentiated support from the government to protect employment in these industries.

Suggested Citation

  • Ali Madai Boukar & Olivier Mbock & Jean‐Marc Malambwe Kilolo, 2021. "The impacts of the Covid‐19 pandemic on employment in Cameroon: A general equilibrium analysis," African Development Review, African Development Bank, vol. 33(S1), pages 88-101, April.
    • Handle: RePEc:bla:afrdev:v:33:y:2021:i:s1:p:s88-s101
    DOI: 10.1111/1467-8268.12512
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    References listed on IDEAS

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    1. Benjamin Kamga, 2012. "Les déterminants de la signature des contrats de travail et de l’affiliation à la sécurité sociale au Cameroun," African Development Review, African Development Bank, vol. 24(2), pages 167-182.
    2. Sam Jones & John Page & Abebe Shimeles & Finn Tarp & Sam Jones & Finn Tarp, 2015. "Priorities for Boosting Employment in Sub-Saharan Africa: Evidence for Mozambique," African Development Review, African Development Bank, vol. 27(S1), pages 56-70, October.
    3. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
    4. Gilles Q Kane & Marius C. O. Amba & Taoufiki Mbratana, 2020. "Early view of the potential impact of government policy responses on reproductive number of COVID-19 in African countries: Evidence from Cameroon," Economics Bulletin, AccessEcon, vol. 40(3), pages 2419-2430.
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    Cited by:

    1. Edward Sennoga & Lacina Balma, 2022. "Fiscal sustainability in Africa: Accelerating the post‐COVID‐19 recovery through improved public finances," African Development Review, African Development Bank, vol. 34(S1), pages 8-33, July.
    2. Benjamin Fomba Kamga & Rodrigue Nda'Chi Deffo, 2022. "Analysis of the resilience strategies of Cameroonian companies in the face of Covid‐19 and their effects on activity," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(4), pages 880-897, May.
    3. Hanan Morsy & Lacina Balma & Adamon N. Mukasa, 2021. "‘Not a good time’: Assessing the economic impact of COVID‐19 in Africa using a macro‐micro simulation approach," African Development Review, African Development Bank, vol. 33(S1), pages 17-30, April.
    4. Ikhsan Ikhsan & Khairul Amri, 2023. "Sectoral Growth Impacts of Bank Credit Allocation: The Role of COVID-19 Pandemic as Moderating Variable," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 32-50.
    5. Meligi, El & Ferreira, Valeria & Nechifor, Victor & Ferrari, Emanuele, 2022. "Environmental sustainability and job creation: a SAM-based approach for Cameroon," Conference papers 333428, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Shehabi, Manal, 2022. "Modeling long-term impacts of the COVID-19 pandemic and oil price declines on Gulf oil economies," Economic Modelling, Elsevier, vol. 112(C).
    7. Joshua Rosenberg & Ilan Strauss & Gilad Isaacs, 2021. "COVID‐19 impact on SADC labour markets: Evidence from high‐frequency data and other sources," African Development Review, African Development Bank, vol. 33(S1), pages 177-193, April.
    8. Janine M. Dixon & Philip D. Adams & Nicholas Sheard, 2021. "The impacts of COVID‐19 containment on the Australian economy and its agricultural and mining industries," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(4), pages 776-801, October.
    9. Qi Zhang & Xinxin Zhang & Qi Cui & Weining Cao & Ling He & Yexin Zhou & Xiaofan Li & Yunpeng Fan, 2022. "The Unequal Effect of the COVID-19 Pandemic on the Labour Market and Income Inequality in China: A Multisectoral CGE Model Analysis Coupled with a Micro-Simulation Approach," IJERPH, MDPI, vol. 19(3), pages 1-21, January.
    10. Dzyuba, Yu. & Bakalova, I., 2023. "CGE models for resource-based economy: A comprehensive bibliometric analysis," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 12-50.
    11. Samuel Kwaku Agyei & Zangina Isshaq & Siaw Frimpong & Anokye Mohammed Adam & Ahmed Bossman & Oliver Asiamah, 2021. "COVID‐19 and food prices in sub‐Saharan Africa," African Development Review, African Development Bank, vol. 33(S1), pages 102-113, April.
    12. Ilan Strauss & Gilad Isaacs & Josh Rosenberg, 2021. "The effect of shocks to GDP on employment in SADC member states during COVID‐19 using a Bayesian hierarchical model," African Development Review, African Development Bank, vol. 33(S1), pages 221-237, April.
    13. Feng Wang & Min Wu, 2021. "The Impacts of COVID-19 on China’s Economy and Energy in the Context of Trade Protectionism," IJERPH, MDPI, vol. 18(23), pages 1-23, December.

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