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Research articles · Dec 31, 2022

Impact of the Covid-19 Pandemic on Monetary Child Poverty in Morocco

Touhami Abdelkhalek, Dorothée Boccanfuso, Luc Savard

Université Mohammed VI Polytechnique - FGSES – AIRESS, Rabat, Morocco

Volume 15(3) Winter 2022

Cite as: T. Abdelkhalek, D. Boccanfuso, L. Savard; 2022; Impact of the Covid-19 Pandemic on Monetary Child Poverty in Morocco; International Journal of Microsimulation; 15(3); 15–37. doi: 10.34196/ijm.00268

Abstract

The Covid-19 pandemic had a very quick and damaging impact on several economies around the world, including in Morocco. This economy was hit hard with some sectors strongly exposed to the impact on the households and their children. In this article, we built a micro-simulation model and use it jointly with an input-output model to assess the distributional impact of COVID-19 and mitigation measures targeting households in Morocco with a focus on children living in poor households. Our original results show that the crisis has led to a fairly significant increase in poverty, with more pronounced effects in the urban area. Children under 5 years of age and young adults (over 18 years of age) are the most affected. Just over half a million children under the age of 18 would fall into poverty as a result of the pandemic. The mitigation measures put in place by the government and additional measures we designed and simulated further reduce the negative impact of the pandemic. In addition, the number of vulnerable rural population has decreased in both rural and urban areas. However, the two scenarios focusing on mitigation of the effects of the pandemic do not fully compensate for the negative effects of the pandemic in the urban area as opposed to rural areas. When we focus our analysis by age category, the incidence rates of vulnerability decrease to their initial rates for children under 5 years of age and decrease very slightly for youth aged 5 to 17 years at the national level. However, we find that this vulnerability is deeper and more severe even after the implementation of compensatory measures.

This article contains 13 figures and 9 tables.

Figures

Figure 1. Remittances from Moroccan migrants. Source: Office des changes (Séries statistiques | Office des Changes (oc.gov.ma)).
Figure 2. Impact of COVID-19 on global poverty. Source: Gerzon Mahler et al. (2020).
Figure 3. Synthesis of the model. Source: Authors.
Figure 4. Schematic representation of the simulations
Figure 5. Incidence of poverty by age group and place of residence
Figure 6. Gini index – 2019. Source: Authors’ computation based on the ONDH - EPM (2019 wave).
Figure 7. Gini index by place of residence and scenarios
Figure 8. Average per capita expenditure density curves - Reference and COVID 19. Source: Authors’ computation based on the ONDH - EPM (2019 wave),Note: The vertical lines are the poverty line, the vulnerability line, the median, and 2.5 times the median respectively.
Figure 9. Density curves of the average expenditure per capita at the base and under scenario 2.. Source: Authors’ computation based on the ONDH - EPM (2019 wave).Note: The vertical lines are the poverty line, the vulnerability line, the median, and 2.5 times the median respectively.
Figure 10. Incidence curves on per capita spending between the base situation and scenarios. Source: Authors’ computation based on the ONDH - EPM (2019 wave).
Figure 11. Contribution of the components to the total variation of the indices.23 (A) Urban (B) Rural.. Source: Authors’ computation based on the ONDH - EPM (2019 wave).
Figure 12. Contribution of the components to the total change in the indices for children under 18. (A) Urban (B) Rural.. Source: Authors’ computation based on the ONDH - EPM (2019 wave).
Figure A1. Social Class Thresholds - Baseline and Scenarios

Tables

Table 1. Share of companies in permanent/temporary lockdown by sector of activity (during the period of lockdown)*
All sectors57%
Metal and mechanical industries73%
Electrical and electronic industries56%
Chemical and pararchemical industries55%
Textile and leather industries76%
Agro-industries34%
Mining32%
Energy63%
Fishing24%
Services to individuals60%
Education and human health43%
Corporate services65%
Real estate activities63%
Information and telecommunication48%
Hotel and restaurant89%
Transport and storage54%
Trade46%
Construction59%

Source: Haut-Commissariat au Plan (2020a).

The lockdown measures started on March 9th and a first wave of restrictions were removed on June 9th and a second wage at the end of July 2020.

Table 2. Distribution of households and individuals in the ONDH 2019 EPM sample by area of residence
Freq.%
Households
 Urban9 84558.3%
 Rural7 03441.7%
 Morocco16 879100%
Individuals
 Urban39 03354.4%
 Rural32 76545.6%
 Morocco71 798100%

Source: Authors’ computation based on the ONDH Household Panel Survey (2019 wave).

Table 3. Distribution of the Moroccan population by area of residence
IndividualsFreq.%
Urban2 2369 71462.9%
Rural13 201 99837.1%
Morocco35 571 711100%

Source: Authors’ computation based on the ONDH Household Panel Survey (2019 wave).

Table 4. Average and median annual per capita expenditure of Moroccans (in MAD) in 2019
AverageMedian
Morocco18 769.6814 437.59
Urban22 724.1517 500.8
Rural12 069.1610 092.96

Source: Authors’ computation based on the ONDH - EPM (2019 wave).

Table 5. Individual poverty rate (%) - 2019
Share of pop.FGT0Contribution FGT0FGT1Contribution FGT1FGT2Contribution FGT2
Morocco1.190.13100.000.02100.00
Urban62.890.2513.060.028.000.004.58
Rural37.112.7986.940.3392.000.0695.42

Source: Authors’ computation based on the ONDH - EPM (2019 wave).

Table 6. Individual poverty rate 2019 - by age group
Poverty incidence
Share in the populationFGT0Contribution to FGT0
Morocco100%1.19%100%
- 5 Years8.2%1.8%12.5%
+ 5 to - 18 Years23.2%1.9%36.1%
18 and +68.6%0.9%51.4%

Source: Authors’ computation based on the ONDH - EPM (2019 wave).

Table 7. Incidence of poverty and vulnerability by place of residence and scenarios
Poor
(FGT0)
Vulnerable
BaseUrban0.2%2.8%
Rural2.8%15.1%
Morocco1.2%7.4%
COVIDUrban5.5%5.6%
Rural9.9%17.0%
Morocco7.2%9.8%
Scenario 1Urban2.4%5.4%
Rural5.1%10.9%
Morocco3.4%7.4%
Scenario 2Urban1.4%4.7%
Rural3.2%9.3%
Morocco2.1%6.4%

Source: Authors’ computation based on the ONDH - EPM (2019 wave).

Table 8. Incidence of poverty by age group (%) and area of residence
BaseCOVID-19Scenario 1Scenario 2
Poverty
Morocco- 5 years1.810.15.13.2
From 5 to - 181.99.95.13.1
18 and + Years0.95.92.61.6
Urban- 5 years0.68.93.92.4
From 5 to - 180.37.83.92.3
18 and + Years0.24.51.81.1
Rural- 5 years3.711.87.04.5
From 5 to - 183.912.76.64.1
18 and + Years2.28.44.22.7
Vulnerability
Morocco- 5 years11.422.514.711.4
From 5 to - 1812.723.215.312.0
18 and + Years6.814.38.87.0
Urban- 5 years4.416.011.49.2
From 5 to - 184.615.511.18.9
18 and + Years2.59.46.45.0
Rural- 5 years22.032.119.714.9
From 5 to - 1823.333.520.716.1
18 and + Years15.023.313.510.7

Source: Authors’ computation based on the ONDH - EPM (2019 wave).

Table 9. Cost-effectiveness of scenario 2
The total cost of the measure - MADCost per capita (total population) - MADCost per capita (beneficiary population) - MADPer capita cost per child under 18 out of poverty - MAD
Scenario 2 completeMorocco172 900 0004.866.33789.87
Urban78 186 4003.505.06768.2
Rural94 713 0007.177.97808.69
Scenario 2 School AidMorocco20 615 4000.582.1294.18
Urban5 954 4000.271.4158.50
Rural14 661 0001.112.67125.18

Source: Authors’ computation based on the ONDH - EPM (2019 wave).