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

South Africa is one of the largest GHG emitting countries due to its heavy reliance on coal for most of its energy needs. The South African government is cognisant of the fact that shifting away from carbon-intensive forms of technology to more sustainable ways of production means that some jobs will be destroyed, and new ones will be created. A concern therefore for policy makers is ensuring that the transition is just and that it will not exacerbate existing inequalities.

South Africa comes into this employment transition discussion facing a triple challenge: persistent high unemployment, inequality, and poverty. This situation has worsened since the 2007-2008 financial crisis and was further exacerbated by the recent COVID-19 pandemic. This complicates the discussion of an optimal social transition to a “green” economy.

This project is part of a wider research program on the just transition in South Africa, conducted with several South African research centres and in close collaboration with the South African authorities.

See also: Research on inequalities

The project will carry out a study of the South African labour market with the aim of identifying the proportion and distribution of workers engaged in “green” jobs and “brown” jobs – in other words, jobs that are ecologically sustainable and jobs that are not. It will also examine the possibilities of transitioning labour from brown jobs into low emitting sectors.

We will measure green intensity as the share of total tasks in an occupation that are green. We will also identify the share of workers in green jobs using employment information from surveys such as the Quarterly Labour Force Surveys (QLFSs) and the Census. Using industry level information on pollution, we will go further to identify occupations more likely to be in highly polluting sectors than in any other sectors. This will be described as brown jobs. Next, we will utilise occupational tasks, skills, and knowledge information from the O*NET dataset to identify important skills for brown and green jobs. This will enable us to estimate the probability of transitioning workers to green jobs. Finally, to map the location of green jobs, we will use employment information from the Census, the Community Survey, and the Spatial Tax data.

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)

While there is mounting evidence that the Covid-19 pandemic has increased socioeconomic inequality, there is still a need to understand the exact channels of impact and what role the policy response has played in different contexts. It is also necessary for governments to be clear about the efficiency of the type of policies they have implemented throughout this period, in terms of the redistributive and/or regressive effect both from an inequality and poverty perspective. Indeed, we know that the amount of additional social spending (excluding health) implemented during the pandemic reached almost 3% of GDP in Colombia and only 0,2% in Mexico. However, research has not yet demonstrated whether the redistributive policies introduced by the Mexican and Colombian governments in response to the Covid-19 crisis have had any positive effect on the distribution of economic and social resources in these two countries.

The project will seek to understand what has been the redistributive impact of social and fiscal policy in Mexico and Colombia, in the context of the policies implemented during the Covid-19 pandemic.

This research project will be conducted as follows: 

1. Using the framework of the Commitment to Equity (CEQ) methodology, an analysis aiming to differentiate what has been the progressivity or regressivity of the policies implemented during the Covid-19 pandemic will be conducted. This analysis will take into account the main beneficiary groups of these policies and will include a comparison between the budget amount and the efficiency of the policies identified in terms of inequality and poverty reduction.  
2. A desktop analysis of the decision-making will also be carried out to understand how the redistributive effects of the policies implemented were envisaged by the governments. 

The results of this project are presented in the following research paper: Promoting a More Progressive Approach - Evaluating the Impact of Social and Fiscal Policies in Mexico and Colombia amidst the Covid-19 Pandemic (2025)

This research paper analyzes the redistributive impact of some fiscal policies and social programmes (direct taxes and transfers) before and after the pandemic Crisis in Mexico and Colombia, following the CEQ methodology. 

Download the paper

Many of the measures on quantifying progress by countries towards reducing income inequality have focused on indices that measure trends in inequality over time (Gini coefficient for example) and compare countries without considering the differences between their socioeconomic structures.

However, these indices do not paint the complete picture about how countries are performing, especially when compared to one other in achieving Sustainable Development Goals and what policies and investments may be needed to support them. This research project will provide an alternative measurement of income inequality by taking into account the developing countries’ structural or predetermined conditions (mineral assets, type of institutions etc.) in assessing their progress towards reducing inequality and the impacts of climate change. 

The project focuses on the following objectives: 

1. Firstly, it will compare each country with its potential to reduce income inequalities by measuring the scope for improvement for each country at every year. This will allow a better understanding of the key factors that hinder a country’s effort and performance in reducing inequalities and of the policy and investments that are needed to tackle inequalities more efficiently.
2. Secondly, it will investigate how climate – temperature, precipitation and extreme weather events– influence the efficiency of countries in combining inputs to reduce inequality.
3. Thirdly, it will look at adaptation or intensification effects across regions, particularly in LDCs and SIDS and will identify the needed scale of investments.

Building on a panel database on 145 countries, including countries from Least Developed Countries (LDCs) and Small Island Developing States (SIDS) from 2000-2020, the project will use a stochastic frontier approach, an economic modelling technique, to estimate feasible frontiers for income inequality for each country and year.

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

• Reducing Inequalities Despite Climate change? Rethinking Progress Towards Reducing Income Inequalities and the Impact of Climate Change in Developing Countries