Since 2020, the COVID-19 pandemic has been testing the employment stability, the production capacity, the food availability as well as social protection systems response capacity in the Middle East and North Africa (MENA) region at an unprecedented scale. Thus, evidence is needed to detail how are countries faring in the short-run of this global event and how are governments responding to alleviate the vulnerabilities faced by household and firms alike.

ERF and AFD have collaborated in a research partnership aimed to provide a platform to answer some pressing questions regarding the impact of COVID-19 on people’s lives and firms’ behaviours, and shed light on the coping mechanisms that have been taken to help them in these tough times. This project was led by Ragui Assaad (University of Minnesota and ERF), Caroline Krafft (St. Catherine University), and Mohamed Ali Marouani (Université Paris1-Panthéon-Sorbonne and ERF). 

Under this collaboration, a call for proposals was launched in 2020 on “The Impact of COVID-19 on Households and Firms in the MENA Region”, with a view to understand the consequences of the social and economic crisis generated by the pandemic. ERF received 53 proposals, and the review process led to the acceptance of 6 proposals selected to use some novel rapid phone surveys for household and firms, to highlight with relevant research questions several dimensions of coping mechanisms and changes experienced in several countries of the MENA region. Six articles and six policy briefs are part of this collaboration.

 

Researchers responding to this call received access to the data of the new ERF COVID-19 MENA Monitor rapid phone surveys, including enterprise survey data (available for download) and household survey data (available for download) for the following countries: Egypt, Morocco, Tunisia and Sudan.

As part of the partnership, four ERF policy briefs describe the data and provide a digest of what the rapid phone surveys describe about the impact of the pandemic on MENA labour markets and firms:

• Krafft, Assad & Marouani (2022), The Impact of COVID-19 on Middle Eastern and North African Labor Markets: Employment Recovering, but Income Losses Persisting 
• Krafft, Assad & Marouani (2021c), The Impact of COVID-19 on Middle Eastern and North African Labor Markets: A Focus on Micro, Small and Medium Enterprises
• Krafft, Assad & Marouani (2021b), The Impact of COVID-19 on Middle Eastern and North African Labor Markets: Glimmers of Progress but Persistent Problems for Vulnerable Workers a Year into the Pandemic
• Krafft, Assad & Marouani (2021a), The Impact of COVID-19 on Middle Eastern and North African Labor Markets: Vulnerable Workers, Small Entrepreneurs, and Farmers Bear the Brunt of the Pandemic in Morocco and Tunisia

The six selected research projects provide a wide variety of evidence in the context of research on the short-term socio-economic effects of the Covid-19 pandemic:

• The first article (by V. Hlasny & S. Al Azzawi) explores the effects of the pandemic on workers’ employment outcomes in Egypt and Jordan. They estimate logit models of workers’ job loss and multinomial logits of workers’ labour market statuses, investigating who has been most affected among the working population. They show the COVID regime stringency having affected negatively employment and labour market participation of most groups of workers – particularly youths, even if they were not disadvantaged pre-COVID. Higher education is associated with the retention of a better employment status, conferring consistently high returns in terms of remaining an economically active individual, or remaining employed, and in formal employment. Workers’ pre-COVID employment status affects their outcomes amid COVID, implying strong employment-status dependence. Those laid off amid COVID come predominantly from among those without (formal) employment pre-pandemic. Between mid-2020 and mid-2021, men’s employment prospects gradually improved, but women faced a stagnation, by being largely excluded from work opportunities. Youths trailed non-youths early during the pandemic, but have caught up during recovery. In sum, youths and women have been affected more adversely than non-youths and men at the height of the pandemic. They face higher risks of getting laid off, and have a harder time returning to work – supporting the ‘last in’ if not the ‘first out’ hypothesis.
• The second article (by Z. El-Sahli & M. Alsamara) investigates the effects of the pandemic on small and medium-sized enterprises (SMEs) in four non-oil-exporting MENA countries (Jordan, Morocco, Tunisia, and Egypt). MENA SMEs resorted to wage and work hours reductions more often than layoffs in the wake of the pandemic. Within SMEs, larger firms are more resilient, recover faster, and adapt more often. At the sectoral level, the accommodation and food services sector is the worst affected in most of its outcomes. There is, however, clear recovery in Q2 2021 (versus Q1) across sectors and countries. Furthermore, SMEs that switch to remote work are less likely to face closures, they recover faster, and adapt more frequently, signalling higher resilience and adaptability. On the other hand, participation in government assistance programs does not improve firm outcomes, whereas firms that participate in international trade are more resilient and adaptable in the face of the shock. 
• The third article (by A. El-Shal, E. Moustafa, N. Rostom & Y. Abdelfattah) looks at social safety nets (SSNs) and emergency transfers from NGOs during the onset of the pandemic, estimating if and to what extent SSNs have mitigated food insecurity in MENA between November 2020–June 2021 in Egypt, Morocco, Jordan and Tunisia. Using a difference-in-differences approach, the authors show that those who received non-usual government support in Tunisia were 15 percentage points (ppts) less likely to be unable to buy their typical amount of food due to price increases than those who did not receive support. No significant effects are observed in Egypt, Jordan, and Morocco. Non-usual social support from non-governmental institutions had greater effect. Individuals who received non-usual support from non-governmental institutions in Morocco and Jordan were, respectively, 22 ppts and 15 ppts less likely to report being unable to buy their typical amount of food due to decreased income. Their estimates also show that government SSNs have mitigated the negative effect of food insecurity on resorting to adverse coping strategies during COVID-19, especially selling assets
• The fourth article (by A. Spinardi, N. Isamiddinova, I. Clavijo & K. Henkens) investigates the associations between factors affecting households during the pandemic, such as food insecurity and gender mental health inequalities in Egypt, Tunisia, Morocco, Jordan, and Sudan. Using data from the World Health Organization (five-question module to measure mental health and well-being) and the ERF COVID-MENA Monitor Household Survey, it inspects gender mental health gap and quantifies the relative contributions of some COVID-19 related shocks and changes on gendered mental health inequality. The results indicate a statistically significant difference in the mental health well-being between men and women, with women’s mental health being significantly poorer than that of men. Women, on average, worry more over the health consequences of the pandemic and the household’s economic situation. They report higher levels of food insecurity in their households, and this variable significantly explains the observed difference in mental health outcomes between genders. 
• The fifth article (by L. Idres & M. Lassassi) analyses the populations’ behaviour toward COVID-19 safety measures in Algeria, Morocco and Tunisia, specifically inspecting which safety measures are observed and what category of people is most likely to observe them. To answer these questions, ERF COVID-MENA Monitor Household Survey are used for Morocco and Tunisia, whilst for Algeria a household survey collected from the Research Center of Applied Economics for Development (CREAD) is used. There are some similarities among the population’s behaviour of these countries, such as the fact that women are found to be those who most observe the safety measures. The educational level also plays a role in determining behaviour, but its impact differs from country to country. Moreover, an ordered probit model is estimated to identify the determinants of the observed safety measures intensity in each country. Women and the elderly mostly comply with the barrier methods, but men and youth are those who use these measures more intensely. Furthermore, a simulation analysis shows that the percentage of Moroccans observing three safety measures converges to 80%, against 59% in Tunisia, and only 5% in Algeria.
• The sixth article (by S. Nour) proposes a country case study for Sudan, using two distinct sources of data. The World Bank and Sudan Central Bureau of Statistics High Frequency COVID-19 Survey (2020) data shows that the impact of COVID-19 on employment status is manifested in a loss of jobs for the majority and nearly two-thirds of households during June - July 2020. The employment loss, the unemployment and even the change of employment of households are mainly explained by the closure of businesses and administrations due to the restrictions applied in response to the pandemic. The impact of COVID-19 is also manifested in loss of income for almost a fifth of households, and reduction of livelihoods or sources of income. The ERF COVID-19 MENA Monitor Household Survey (2021) shows an increase in temporary or permanent layoffs/suspensions of workers, reduced hours, reduced wages, delays in payment of wages for workers and a limited provision of social insurance to workers.

Several recommendations stem from the research questions discussed within this research partnership. These are available for free download from the AFD Policy Dialogue series:

• “Women and Youth labor market outcomes during Covid19: Evidence from Egypt and Jordan”
• “Resilience in the Time of Covid-19: Lessons Learned from MENA SMEs”
• “Social Safety Nets and Food Insecurity in MENA in the Time of Covid-19”
• “Gender and Mental Health: Covid-19 shock-related factors”
• “Populations' behavior analysis toward Covid-19 safety measures: Evidence from Algeria, Morocco and Tunisia”

Contact:

• Cecilia Poggi, AFD Research Officer
• Yasmine Fahim, Director of Research & Programs, ERF

Addressing persistent inequalities in income and other dimensions of wellbeing is a key policy objective of the Sustainable Development Goal 10. Multilateral and bilateral donor agencies have been directing their efforts towards promoting good governance, human and economic development, fighting hunger and reducing inequality. 

The increase in development funding towards inequality reduction is accompanied by a need to monitor progress on the SDG 10 but most importantly, by the need to evaluate the contribution of development towards achieving this goal. However, measuring the distributional impacts of development cooperation projects is a challenging task due to a myriad of factors, including the effects that domestic redistributive policies, the structure of labour markets and other factors, such as institutions, have on inequality. The methodology developed by Morabito et al. enables the analysis of the potential contributions of development projects on inequality by looking primarily at the extent to which they disproportionally benefit the most vulnerable through a mix of analytical tools (a scoreboard, a statistical analysis of development projects based on the Equity Tool, a fiscal incidence analysis).

This methodology has first been tested on three development projects funded by AFD in Cameroon, Colombia and Tunisia as part of the first phase of the Research Facility on Inequalities. 

 

This project was part of the first phase of the Research Facility on Inequalities, coordinated by AFD and funded by the European Commission's Directorate-General for International Partnerships over the 2017-2020 period. The first phase of the Facility has led to the conduct of 22 research projects and the publication of around 100 research papers and policy briefs.

A second phase of the research project was launched in 2022 with the aim to extend the initial phase, to further test the validity of the methodology with respect to income and other forms of inequalities and to develop the guidelines for an inequality marker.

The initial phase of the  project aimed at piloting the application of the methodology developed by the researchers on three projects funded by the AFD: 

• A programme supporting urban housing improvements in Tunisia;
• A programme focusing on capacity-building of Small- and Medium-Sized Enterprises in Cameroon;
• A budget support operation aimed at supporting a health sector reform in Colombia.

The objective was to test the methodology and evaluate the relevance of its results, and, based on these findings, to review and adjust the methodology itself.

The second phase of the project aimed:

• To develop the guidelines for an inequality marker for development cooperation ;
• To further test the methodology on four AFD and EU development programmes:
  • A programme promoting sustainable access to electricity for the unserved poor rural populations in Benin;
  • A programme improving the health and living conditions of the inhabitants of the rural district of Isingiro (Uganda) and its refugee camps;
  • A programme facilitating trade between Ethiopia and Djibouti and enabling businesses and producers, as well as the most vulnerable populations, to benefit from these improvements;
  • A programme contributing to the adaptation of the communities to climate change in Vietnam. 

The initial study identified whether programmes’ beneficiaries of the three selected interventions belonged to the bottom 40% of the wealth distribution, through a mix of analytical tools:

• First, a scoreboard that assessed whether or not inequality reduction was a central objective of development programmes; 
• Second, the Equity Tool, which helped assess the position of direct beneficiaries within the national (urban or rural) wealth distribution;
• Third, the Commitment for Equity Tool, which helped estimate the distributional impact of general or sectoral budget support.

The methodological steps of the second phase of the research project were the following:

• Refining and upgrading the inequality markers and the scoreboard to provide clear benchmarks and indicators, aligned with evaluation approaches used by the European Commission, to assess whether development interventions focus on the poorest bottom 40% individuals, households or vulnerable groups that are targeted by specific development policies;
• Extending the scope of the Equity Tool questionnaire to include questions that capture the distribution of projects beneficiaries among vulnerable groups (women, ethnic, religious minorities, etc.);
• Applying the revised methodology to the four case studies.

Results of the first phase of the project:



Overall, the results underscore the importance of considering a pro-poor targeting ex-ante when designing development cooperation interventions that explicitly (or implicitly) aim to contribute to the reduction of inequalities in partner countries. The main strength of the methodology is that it allows an assessment of the potential reach of interventions for the bottom 40 percent of the income distribution. Therefore, the information provided thanks to this methodology can be critical to fine-tune policies before they are implemented and maximize their redistributive impact.



You may find the research paper here: The distributional impacts of development cooperation projects

 

Results of the second phase of the project:



The second phase of this project resulted in :

• The elaboration of guidelines for the implementation of the methodology, which were used to develop the European Commission's Inequality Marker. The I-Marker assesses whether, and to what extent, inequality reduction is an objective of development intervention. For this purpose, a set of criteria has been developed to establish if: - I-0: Inequality reduction is not targeted; - I-1: Inequality reduction is a significant objective; - I-2: Inequality reduction is the principal objective. The I-Marker focuses on the bottom (poorest) 40% or socio-economically disadvantaged individuals, households or groups. Watch the video on the Inequality Marker for more information ;
• A report on the testing of the methodology on the four case studies (available soon).

This project highlighted the importance of identifying direct and indirect beneficiaries of the projects, but also, more broadly, of having a complete understanding of the development cooperation interventions, which are being analyzed, especially their objectives and conditionalities. 

Equally important is the involvement of key stakeholders to communicate the objectives, scope and limitations of the studies. In some cases, the inclusion of a qualitative component in the form of interviews, consultations, or eventually field missions, may be required to ensure the successful implementation and completion of studies.

Contact:

• Anda David, Research Officer, AFD

Contacto:

• Anda David, encargada de investigación, AFD