Health, Micro–macro links

Research articles · Dec 31, 2022

Economic and Distributional Impacts of Covid-19 Economic Shocks on Women in Senegal

Hélène Maisonnave, François Cabral, Martin Henseler

EDEHN (Equipe D’Economie – le Havre Normandie), Le Havre, France; LIND, Dakar, Senegal

Volume 15(3) Winter 2022

Cite as: H. Maisonnave, F. Cabral, M. Henseler; 2022; Economic and Distributional Impacts of Covid-19 Economic Shocks on Women in Senegal; International Journal of Microsimulation; 15(3); 1–14. doi: 10.34196/ijm.00267

Abstract

Like other African countries, Senegal has been hit by Covid-19 and has implemented measures to contain the epidemic. These measures impact men and women differently, mainly via the impacts on the labour market. We simulate the economic shocks in a computable general equilibrium (CGE) model to assess the economic impacts. We capture the gendered impact on women’s employment by linking the CGE model with a micro-simulation employment module. Furthermore, we assess the impact on poverty and inequality by executing a distributive analysis with a sequential top-down layered micro-simulation households module. The results show that the Senegalese economy suffers from Covid-19 measures with a decrease in gross domestic product by 5% and 7% in the moderate and severe scenarios, respectively. While most sectors are negatively affected, some benefit from the increase in foreign demand (e.g., for certain agricultural products). In terms of employment, unskilled workers are the most affected group. Female workers are relatively less affected than male workers due to the predominant presence of women in the agricultural sectors. Indeed, the increased foreign demand for agricultural products positively affects the agricultural sectors. However, poverty increases at the national level for all households, especially for rural households and households living in urban areas except Dakar. Specifically, the poverty gap and severity for rural households increase more than for urban households.

This article contains 3 figures and 6 tables.

Figures

Figure 1. Number of Covid-19 cases and timing of Covid-19 response measures in Senegal in 2020 (Ridde and Faye, 2022, p. 38).
Figure 2. Share of labour types in decreased employment.. Source: Computation from the authors based on the micro-simulation results.
Figure 3. Changes in the Gini and FGT indexes for households in different regions (in p.p.)

Tables

Table 1. Distribution according to gender and level of education (%) and the distribution of education among women.
Distribution among men and womenLevel of education among women
Women % of totalMen % of totalTotal% of women
Without education475310086.2
Certificate of Primary Education (CEPE)44561007.4
Junior Secondary Education Certificate36641003.7
Secondary School-leaving certificate (BAC)30701001.6
General Undergraduate degree University Diploma /23771000.6
Degree/Master’s/Engineer/Doctorate23771000.5
Overall4654100100

Source: ANSD (2017).

Table 2. International trade
Share of Exports per commodity (%) aShare of imports (%) bRate of export (%) cPenetration rate (%) d
 Agriculture8.15.98.710.3
 Industry65.884.223.439.0
 Market services26.19.89.25.9
 Non-market services0.00.00.00.0
 Total10010013.720.6

Source: Computation from the authors based on the Social Accounting Matrix (SAM) 2017 (a) export by sector/total export, (b) Import by sector/total export, (c) Export by sector/Production by sector, (d) Import of commodity/ (imports + locally produced commodity).

Table 3. Descriptive statistics of the consumtion per head for the regional samples, values in Million CFA franc
Min.1st QuartileMedianMean3rd QuartileMax.
National0.0510.2790.4280.6520.71716.123
Urban Dakar0.2540.7341.1491.5371.88816.123
Urban Other0.0680.3370.4980.6660.75614.332
Rural0.0510.2180.3100.3910.4565.157
Table 4. Simulated scenarios
Moderate ScenarioSevere Scenario
International channels
 Decline in exportsFishing and aquaculture production: - 52.5%
Agro-food production: -8.4%
Petroleum refinery products: -15%
Chemical products: -22.9%
Telecommunications services: -59%
Air transport services: -30%
Hospitality services: -78%
Catering services: -20%
 Increase in exportsAgricultural and associated products: +6.2%
Livestock products: +92.6%
Extractive industry products: +5%
Manufacturing industry products: +32.4%
 Lower international pricesPeanut oil: -8.2%
Agri-food products: -2.6%
Non-food industry products: -2.6%
 Decline in migrant remittances-10%-15%
Domestic channel
 Declining productivity of sectorshighly affected sectors: -2%highly affected sectors: - 3%
moderately affected sectors: -1%moderately affected sectors: -2%
Table 5. Impact on macroeconomic variables (% change)
ModerateSevere
Real GDP-5.4-6.5
Total investment-7.0-8.8
Consumer Price Index-2.9-3.1
Total employment
 Male-0.8-1.0
 Female-0.7-0.8
Real consumption of households located in
 Dakar-2.7-4.0
 urban regions-3.2-5.0
 rural areas-3.3-5.1

Source: CGE model results.

Table 6. Change in the number of employees per segment of the economy (No. of workers)
ModerateSevereModerateSevere
absolute changerelative changea
Formal sector-9,866-11,960-0.3%-0.3%
Informal sector-44,489-54,282-1.2%-1.5%
Total-54,355-66,242-1.5%-1.8%

Source: results of the micro model.

(a) Referred to the total number of employees of 3,712,719.