With one of the highest youth unemployment rates in the world, South Africa’s planning for a just transition needs to take into account the vulnerabilities of its youth cohorts, especially those that can be qualified as “not in education, employment or training” (NEET). For example, a recent study conducted in the framework of the EU-AFD Research Facility on Inequalities revealed that the Mpumalanga province, the region with the highest exposure to the coal exit, has had a NEET youth rate of over 37% for the past decade, with almost three-quarters of them living in income-poor households.

Since 2019, the National Business Initiative (NBI) has been spearheading a multi-faceted and multi-sector partnership, which focuses on expanding and growing pathways for young people to access Installation, Repair and Maintenance (IRM) occupations. The IRM initiative is strategically aligned to various initiatives of the government to drive inclusive recovery and revitalisation of the economy, particularly in the aftermath of the Covid-19 pandemic. It has subsequently been incorporated as part of the Presidential Youth Employment Intervention (PYEI). The Initiative works on the premise that, by supporting township-based IRM entrepreneurs to strengthen and grow their businesses, and by linking them to localised market opportunities, there will be a concomitant increase in the demand for skilled labour, which could lead to the creation of employment opportunities. Therefore, it is a direct response to the youth unemployment challenge.

Collaborating closely with the NBI, the Centre of Researching Education and Labor (REAL Centre) contributed its expertise to the comprehensive analysis of the four key regions identified in Phase 1 of the IRM skills ecosystem mapping project: Atlantis (Western Cape), Mandeni (KwaZulu-Natal), Mamelodi (Gauteng), and Kathorus (Gauteng). Building upon the success of this initial phase, the REAL Centre will now expand the project's scope to the Nkangala district municipality, which is one of the three districts of Mpumalanga province.

This work is also part of AFD's dialogue with the South African authorities on the just transition and the reduction of inequalities.
 

Find out more about the Extension in South Africa
 

This research project will conduct a detailed analysis of the skills ecosystem that could feed into the various initiatives to support local authorities and communities in the Nkangala district, which concentrates the coal-fired power plants that will be closed as a result of just transition policies.

Phase 1 of the project revealed that an IRM skills ecosystem mapping project is crucial for addressing inequality by thoroughly analysing the socioeconomic and demographic profiles of diverse townships in South Africa. 

By identifying specific skill gaps and understanding the challenges faced by Small, Medium, and Micro Enterprises (SMMEs) in these areas, the study can inform targeted interventions aimed at reducing inequality in access to employment and economic opportunities. 

Furthermore, by examining the role of Technical and Vocational Education and Training (TVET) institutions and conducting a comprehensive literature review, the study ensures that proposed interventions are evidence-based and tailored to the needs of the communities studied. 

Ultimately, the study's approach of generating actionable insights in collaboration with stakeholders aims to drive meaningful impact and promote inclusive economic development in underserved regions, contributing to efforts to reduce inequality, to advance the principles of just transition and to foster a more inclusive society.

Building on Phase 1 of the IRM skills ecosystem mapping, researchers will apply the following method:

1. They will set the context for the Nkangala district through desktop research and a few selected key informant interviews;
2. They will collect primary data and set up fieldwork through stakeholder mapping workshops and key informant interviews to collect data;
3. They will then provide an initial narrative on the overarching local skills ecosystem from the site mapping exercise and will draw on the document review and contextual work on the Nkangala district. Drawing on Spours’ (2019) work on ecosystems, they will use three core elements: the dimensions of verticalities, horizontalities and mediation to understand and analyse the skills ecosystem Nkangala district and to guide the cross-site analysis, building on the work undertaken during Phase 1.
    

You will find below the different research papers related to this project:

• Skills ecosystem mapping of MSMEs located within the Nkangala District Municipality

In Colombia, the oil and coal mining industry is an important source of fiscal revenues, including royalties. The Sistema General de Participaciones (or General Participation System, GPS) has therefore been set up to organise the transfer of these royalties – that come from the exploitation of non-renewable natural resources – from the Ministry of Finance and Public Credit to territorial entities. These resources finance the provision of services in the sectors of education, health, drinking water and basic sanitation, general purpose and special allocations, in the different regions of Colombia. This mechanism aims at ensuring a fair distribution of income, which is essential since spatial inequalities in terms of access to services are still significant in Colombia – as shown by the multidimensional diagnosis of inequalities carried out with the support of AFD. For example, while in urban areas, the secondary education coverage rate is close to 100%, it is 50% in rural areas.

The Strategy for monitoring, follow-up and control of the resources of the GPS is a public policy tool led by the Ministry of Finance and Public Credit to carry out control over the management of the resources transferred. This strategy, in implementation for almost 15 years, identifies alerts and cases of non-compliance with the goal of assuring continuity, coverage and quality in the provision of public services. This seeks to prevent and mitigate risks in the provision of social services throughout Colombia, which is essential for the construction of equity across the country, as well as to prevent territorial gaps from widening with regards to the institutional capacities of local governments and to the provision of social services for all populations, regardless of their location. 

This work is also part of AFD's dialogue with the Colombian authorities on tax reform and the reduction of spatial inequalities.

This research project seeks to generate recommendations with the purpose of analysing and strengthening the role of the GPS tool – “the Strategy” – as a mechanism for closing territorial gaps in institutional capacities to provide social services.

Two research objectives have been identified, one in the field of diagnosis, and another in the field of recommendations:

1. Identify the achievements, limitations, and challenges of the implementation of the Strategy in closing territorial gaps in the institutional capacities of territorial entities and in the provision of essential social services.
2. Provide recommendations to strengthen the Strategy in its role of institutional assistance for the closing of territorial gaps.

The project will focus on sectors that receive more resources from the GPS, present more risks in their provision and are the most relevant as essential social services: education, health, drinking water and basic sanitation, and indigenous reservations.

The research methodology will be mixed methods and will include:

• A document review at the level of the Ministry of Finance and Public Credit and the territorial entities selected as a case study;
• A secondary data analysis;
• In-depth interviews with a subsample of the selected territorial entities.

You will find below the research paper related to this project:

Assessing the Impact of the Monitoring, Follow-Up, and Control Strategy on Territorial Inequalities in Colombia (November 2025)

Download the research paper

The design of the Colombian pension system exacerbates income inequality and poverty after retirement age. High informality rates (over 60% of total employment, according to OECD) imply that many workers in Colombia have a low probability of qualifying to get a contributory pension. Despite the targeted support provided to the vulnerable population through pension assistance programs, this support  tends to be low compared to other countries in Latin America and the Caribbean.

The relationship between informality and inequality after retirement plays a central role in the discussion of policies affecting the labour market. One dimension that has not been explored in the public policy debate is how policies aimed to mitigate climate change (and more specifically the creation of green jobs) can affect the distribution of workers between the formal and informal sectors, and how it can have an impact income inequality after retirement.

Find out more about the Extension in Colombia

This project seeks to contribute to the public policy debate by analysing the effects that scenarios of a green economic transformation may have on income inequality after retirement, via the reallocation of workers between the formal and informal labour markets. 

The project will aim to answer following questions, in the Colombian context:

• What are the environmental properties of jobs?
• How can economic transformation towards a more sustainable economy change the composition and transitions between the formal and informal sector?
• What is the impact on inequality and fiscal viability of implementing those policy scenarios?

In addition, the project will evaluate prospective scenarios during the discussion of the pension reform in the  Colombian Congress and will develop a simulation model for the use of the Ministry of Finance and Public  Credit.

The project will be implemented in three stages:

• The research team will first characterize the environmental properties of jobs in Colombia.
• In the second stage, the team will calibrate the transition matrices between employment states and wages to introduce to the microsimulation model. In this stage, the team will propose the economic transition scenarios to simulate.
• In the final stage of the project, the team will prepare a final report with the simulation results and policy discussion.

You will find below the different research papers related to this project:

• Quantifying Green Job Potential in Colombia: A Task-Based Approach (November 2024)
• Greening Colombia’s Energy: The Future of Jobs and Pensions (August 2025)

South Africa’s Economic Reconstruction and Recovery Plan was launched in October 2020 by the Presidency in response to the economic impacts of the Covid-19 pandemic. Besides the Presidential Employment Stimulus program, it included emergency social protection measures, among which the introduction of a special Covid-19 Social Relief of Distress grant (SRD), providing ZAR350 per month for unemployed people not covered by any other form of support. The South African government now seeks to develop options for the future of SRD grant.

Find out more about the Extension in South Africa

The objective of this research project is to produce motivated recommendations on how the SRD should be designed going forward into the longer term, in order to maximize the impact of the grant on employment outcomes and to ensure it effectively reduces poverty, while maintaining its cost to an acceptable level:

1. To maximise the impact of the grant on employment, the project needs to understand how to design and label the grant to encourage its use for job search.
2. To ensure the grant effectively reduces poverty, the project must figure out the most cost-effective way to target and assess the eligibility of recipients. Moreover, poverty reductions can be scaled up by determining measures that could encourage take up among the most disadvantaged. 

Once these goals have been achieved, and in order to inform public decision-making, these findings must be communicated to a number of stakeholders in government and civil society.

This project is part of a wider research program conducted with several South African research centres and in close collaboration with the South African Presidency. Four other research projects analysing the externalities of the Covid-19 stimulus policy are currently being developed as part of the first pillar of the Extension's activities in South Africa.

This research project uses the model generated to conduct the 2014/2015 fiscal incidence assessment and introduces updated data for 2019-2021. It simulates five scenarios around eligibility criteria, targeting mechanisms, value, disbursement model and conditionalities and computes the potential impact on poverty and employment outcomes.

You will find below the research paper related to this project: 

• Proposal for the extension, redesign and repurposing of the SRD for the goal of poverty reduction

It is worth noting that another paper has been published on the implications of the SRD grant, funded by AFD outside the Research Facility on Inequalities: Systemic exclusion from a South African social assistance transfer (February 2024)

Research has already shown that some population groups have been harder hit by Covid-19 than others and that the pandemic exacerbated existing inequalities in many areas, including health, education, work, and gender.

In this context, inequality has become a central issue for governments willing to fight the effects of the pandemic and to better prepare for future shocks. In April 2020, the Togolese government set up a cash transfer program called "Novissi", with the financial contribution of AFD, to support any eligible Togolese citizen who lost his or her income due to the adoption of the response measures against Covid-19. 

Studies using updated data and capturing the potential effects of the Covid-19 pandemic on income inequality and poverty in Togo are relatively scarce. This research project aims to fill the gap in academic literature by analyzing the impacts of Covid-19 on inequality in Togo, and evaluating the effects of the Togolese social policy « Novissi » on mitigating the impact of Covid-19 on inequality.

Using rich microeconomic data from a survey conducted by Togo's Institut National de la Statistique et des Études Économiques et Démographiques (INSEED) aimed at analysing the impact of the Covid-19 pandemic, the research team will estimate an econometric model based on the model developed by Dang and Nguyen (2021).