In July 2019, Infusion Knowledge Hub conducted a study on opportunities for wholesale in Stock Road in Philippi in the Western Cape Province on behalf of a large South African supermarket chain. The purpose of the study was to understand the trading environment in the informal and small business market to elicit a value-added cash and carry shopping proposition (Vawda, Prinsloo and Prinsloo, 2019). 

In June 2022, as part of a research program launched by the Presidency of South Africa and Agence Française de Développement, funded by the European Union, Infusion Knowledge Hub replicated the study to determine whether there are shifts in purchasing behaviour amongst the informal and small traders that participated in the 2019 research. In doing so, the study aimed to provide granular data on shifts in the informal and small traders’ operating environment around Stock Road in Philippi between July 2019 and June 2022. In addition, the research investigated the spending patterns of 30 Social Relief Distress (SRD) grant recipients and 31 Basic Education Employment Initiative (BEEI) participants.

Find out more about the Extension in South Africa

This new research project aimed to contribute to the body of knowledge on the impact of social protection and employment stimulus measures on the formal and informal economies. 

Two studies analysing the local effects of the South African Presidential Employment Stimulus Initiative (PES) and the national social grants programme were produced: 

1. One study, presented in note form, that builds on Infusion's long-standing relationship with Shoprite to allow SALDRU to use Shoprite's customer data to explore the shopping habits of stimulus beneficiaries. The focus was on unpacking purchasing data related to beneficiaries who receive the Distressed Social Relief Grant and those who are part of the school assistants programme managed by the Department of Basic Education (DBE).
2. A research paper that details through descriptive and inferential statistical analysis the transfer to a mobile application, called NECTA, of a landmark study by Infusion and Shoprite conducted among informal vendors and "Spaza" stores in Philippi. This data provides an overview of what has been happening in these businesses since July 2019 (the date of the initial project), as well as an opportunity to see how the new "post-stimulus" environment is impacting the trade and decision-making of these business entities as well as some of their customers.
    

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

• Measuring stimulus effects around Stock Road in Philippi on the Western Cape. 

South Africa’s spatial inequality translates in significantly different lived experiences among members of different communities across the country. Statistics South Africa gathers data on a range of socio-economic outcomes of individuals and households through an array of national surveys; these data can be analysed at the national, provincial, district and sometimes municipal level, and provide us with a sense of well-being, deprivation and inequities in these, between these different geographies. However, there is not yet one standardised set of data that would allow for a coherent, systematic and longer-term understanding, visualisation and tracking of a broad set of indicators on well-being, that allows for a better understanding of socio-economic outcomes at the community level. Yet, understanding this local context is important, as it is within that local reality that policies and interventions aim to make a difference. South Africa’s government has recognised this too and, with the introduction of its District Development (DD) Model, aims to see different spheres and departments of government work together for larger impact, “higher performance and accountability for coherent service delivery and development outcomes”. A consolidated, central point of information that is accurate and regularly updated, would provide a strong basis for the implementation South Africa’s DD Model. 

This project therefore proposes the development of an interactive, online Community Explorer that would allow researchers, policy-makers and civil society members to build a stronger understanding of well-being at the community (or main area) level in South Africa. Such an understanding is crucial to inform development efforts implemented at that community level. We suggest drawing on the local level information for the Steve Tshwete municipality to pilot the Community Explorer approach.

The local municipality of Steve Tshwete is part of the Mpumalanga province, an area that is home to one of the country's largest coal mining areas and accounts for 83% of the coal produced in South Africa. Steve Tshwete can be considered as one of the commercial centers of this province, with one of the largest local economies in the district dominated by the mining, manufacturing and financial sectors. As such, coal mining and the three coal-fired power plants currently in operation are by far the largest contributor to local employment, accounting for 40% of it. 

Find out more about the Extension in South Africa

This project proposes to leverage the data and tools already available on the South African Youth Explorer (and the related WaziMap tool). The SA Youth Explorer is a SALDRU-led project that constructs and maps a range of indicators that measure key dimensions of well-being among young people, at various geographical levels. Using Census 2011 data, these indicators are currently constructed for the following domains: demographics, education, living environment, economic opportunities and youth poverty (including income poverty and multidimensional deprivation). In addition, the project has begun the construction, verification and maintenance of a central database of service provision, that allows for government-provided services to be mapped down to the main area level.  Finally, it is the project’s aim to explore the possibilities of adding a third layer of knowledge with local labour market demand side information. As such, the overall aim of the proposed project is to provide “an understanding of the functionings of geographical areas as economic and social systems” and thereby “to promote the construction of an integrated and effective” approach to policy and planning that would ultimately contribute to the social betterment of all.

In addition, the project will use the administrative South African Revenue Service (SARS) and National Treasury (NT) Firm-Level (SARS-NT) Panel data developed as a joint SARS–National Treasury–UNU-WIDER initiative which gives matched employee-employer level information and thus allows computing labor market demand indicators. The greatest advantage of the administrative SARS–NT Panel data over other firm-level surveys is that it allows us to have employee-related information such as income, age and gender, as well as firm-level information such as labour costs, gross sales, industry sector, firm age, productivity, firm size, learnership and training cost .  Another advantage of the administrative SARS–NT Panel data which is important for the project is that the worker and firm information can be aggregated to four different geographical levels, namely: province, district municipality, local municipality, and main place . With these geographical levels, it is possible to create local averages of various worker and firm variables that can then be mapped alongside Higher Education Institutes present at the local level.
 

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

• Developing a Youth Labour Market Index for South Africa at the sub-national level
• Youth and the just transition. A profile of young NEET in Mpumalanga

The ecological transition is a unique type of structural change: green industries grow while greenhouse gas-intensive and non-green industries decline. This complex process affects the productive, trade and financial structure of national economies, which can generate transition risks. 

These risks arise from the dependence of economies on high greenhouse gas emitting industries, which constrains their low-carbon transition: 

• External risk: if a country depends on greenhouse gas-intensive industries as a source of foreign exchange, the transition will affect its balance of payments and the country's ability to import goods and services (including the machinery and inputs needed for the transition);
• Fiscal risk: if a country relies on emission-intensive industries as a source of tax revenue, the transition will reduce its budgetary resources, which are needed for public investments relevant to the transition (green infrastructure, social spending...);
• Socio-economic risk: if a country relies on emission-intensive industries as a source of employment, the transition will lead to the destruction of jobs in certain sectors, making targeted measures necessary (social protection, training, etc.).

However, not all countries are equal in the face of the ecological transition: they are affected differently by these changes, depending on the structure of their economy and their trade relations with other economies. 

The ESTEEM model has been developed to identify and better understand these risks, so as to be able to define the most appropriate trajectory for each country.

The ESTEEM macroeconomic model is a tool developed by AFD to understand countries' transition trajectories, in order to:

• Assess the extent to which their economy is exposed to risks of imbalances in the context of a green transition, by identifying the main macroeconomic constraints that may emerge and how they can be addressed to ensure an adequate transition path;
• Take into account the ecological and environmental specificities of countries, as they are more or less exposed to transition risks depending on the structure of their economy.

The research paper "Developing countries' macroeconomic exposure to the low-carbon transition" presents the methodology for assessing countries' exposure to external, fiscal and socio-economic risks. Based on their capacity to adapt their productive structure, it analyses countries' vulnerabilities and risks in these three dimensions. Using an environmental input-output table for 189 countries, it identifies carbon-intensive industries and then estimates each country's direct and indirect dependence on these industries.

Besides the above research paper, which provides a comprehensive analysis, other studies have been developed. The paper "Impacts of CBAM on EU trade partners: consequences for developing countries", for example, uses the ESTEEM model to analyse the impact of the border carbon adjustment mechanism (CBAM) on the European Union's (EU) trade partners. While most analyses of CBAM have focused on the consequences for EU economies, this research paper focuses on developing and emerging economies.

In addition, AFD is conducting ESTEEM projects in Uzbekistan and Vietnam, in which the ESTEEM model is used to provide the authorities of these two countries with an analysis of the macroeconomic impacts of their low-carbon transition. 

Finally, based on the original ESTEEM project, other studies are being developed: 

• ESTEEM-Biodiv seeks to understand the risks linked to ecological dimensions other than dependence on carbon-intensive industries (water stress, excessive land use, pollution, etc.);
• ESTEEM-Dynamic, which started in 2022, seeks to understand how the systemic impacts of a transition vary according to the trajectory or scenario selected. This new model, which is dynamic, does not take economic structures as given: by allowing certain variables to be modified, it makes it possible to assess which are the most appropriate paths to follow in order to reduce the risks of transition and ensure the effectiveness of a transition.

The studies show that, depending on the structure of their economy, their budgetary leeway and the robustness of their social protection system, countries are more or less exposed to the risks and vulnerabilities generated by a transition to a low-carbon economy. The ESTEEM model, by making it possible to identify these risks, helps to anticipate them in order to promote the success of the transition.

The interest of the national applications of ESTEEM – currently in Uzbekistan and Vietnam – is to provide an analysis taking into account the specificities of each country:

• Uzbekistan: although Uzbekistan does not rely much on declining industries, the Uzbek economy is a high emitter of greenhouse gases in key transition sectors, such as electricity and construction. This means that decoupling trajectories requires productive and technological capacity building actions to ensure an adequate transition trajectory, leading to job creation and avoiding fiscal and external imbalances.
• Vietnam: the analysis shows that Vietnam is a highly exposed economy at socio-economic level, particularly because high-paying jobs are located in declining industries. Furthermore, the analysis of the different climate scenarios shows that the economy is very exposed because the country's agriculture will be strongly impacted. Nevertheless, Vietnam is also a very dynamic economy with a strong capacity to migrate to green products, which can contribute to the success of the transition.

Find out more: 

• Developing countries' macroeconomic exposure to the low-carbon transition (AFD Research Papers, October 2021)
• Low-carbon transition: What macroeconomic vulnerabilities for developing countries? (Research Conversation webinar, December 2021)
• Low-carbon transition in Latin America: what are the risks and the main constraints? (Development Matters, OECD blog, June 2022)
• Impacts of CBAM on EU trade partners: consequences for developing countries (AFD Research Papers, March 2022)