Welcome to Week 2 of the course. Last week, you looked at inclusive growth, which has become a widely discussed concept over the last decade. It is:
This week, we want to focus on how inclusive growth and migration might be linked. The overarching question is: how does inclusive growth enrich our understandings of migration and development? In addressing this question, we focus mainly on two of the course learning outcomes:
Before starting this week’s learning, try Activity 2.1.
Look at Figures 2.1 and 2.2. Where do you think they are arriving and where might they be from?


Photographs like these have become commonplace in western media. Terms like ‘migration crisis’ evoke ideas of huge flows of migrants that, in some way, threaten to over-run recipient countries. Those recipient countries are usually seen to be ‘developed’ countries in Europe or North America; the first image is the coast of Lesvos in Greece and the second is of Honduran women crossing the Mexico–US border. When we think of international migration – particularly those of us based in the Global North – we usually think of migration from the Global South to the Global North. We will look at what this assumption about international migration tells us about development.
When we discuss migration and development, we often do so in particular ways:
We think that inclusive growth (IG) offers one way to move beyond these limiting assumptions. It allows us to see ‘development’ as multi-faceted, rather than being reduced to one or two indicators like remittances or GDP growth. The mainstream view of migration and development also misses out on some important things like south–south migration and more intangible outcomes like gender awareness.
This week we will examine these debates in more detail and look at how IG can enrich our understanding of the complex linkages between migration and development. You will also get a chance to apply some of the IG concepts and methodologies to real data on migrants.
Let’s delve a little deeper into how we conceptualise the linkages between migration and development.
As Figures 2.1 and 2.2 and the ensuing discussion in Activity 2.1 suggested, migration can evoke powerful emotions. Ideas of ‘crisis’ conjure up negative ideas of migrants coming in large numbers, threatening jobs or social services, or even the very way of life of the host community. Politicians and activists may play on these sentiments for political gain. The idea of ‘brain drain’ is generally a bad thing for the sending countries, but potentially good for the receiving countries if those skilled migrants can apply their skills. Remittances are generally seen to be a ‘good’ thing for the households that receive them back home.
Debates around migration and development are often presented in polarised terms, either good or bad, which varies with the standpoint of the observer. Part of this standpoint is about where the person observing and making these claims about migration is located. Does the development that occurs because of the migrant’s movement accrue to the receiving country or the sending country – or both?
In this section, we want to summarise the main debates about the positive and negative impacts of migration on development.
Read Chapter 2 of Migration Integration Development: Bolster Inclusion to Foster Development (IOM, 2019), a précis of the work by de Haas (2010) on optimistic, pessimistic and pluralist views of migration and development.
When you have read the extract, answer the following questions:
a.
Dependency
b.
Neo-classical
c.
Confucian
d.
Weberian
The correct answer is b.
a.
South–north
b.
South–south
c.
North–south
The correct answer is a.
a.
Income transfer
b.
Skills transfer
c.
Knowledge transfer
d.
All of the above
The correct answer is d.
a.
Neo-classical
b.
Weberian
c.
Dependency
d.
Confucian
The correct answer is c.
a.
Brain drain
b.
Environmental damage
c.
Corruption
d.
Trade wars
The correct answer is a.
a.
Ideological
b.
Deterministic
c.
Universal
d.
All of the above
The correct answer is d.
a.
Social and cultural considerations
b.
A wider range of determinants
c.
Transnational ties
d.
All of the above
The correct answer is d.
To delve deeper into the complex and sometimes contradictory relationships between migration and development, watch Video 2.1. It is a ‘primer’ by the Oxford Migration Observatory and includes an interview with Dr Carlos Vargas-Silva, who is a migration expert.
As you watch the video, try to find examples of the different views of migration that de Haas identifies. Make some brief notes, under the three headings of optimistic, pessimistic and pluralist.
| Optimistic | Pessimistic | Pluralist |
It is not always easy to neatly allocate the things that Dr Vargas-Silva mentioned into the categories that de Haas set up, but we have made some notes in the table below. It was interesting that the interviewer said early on that migration is from developing to developed countries, which reinforces our contention that too much focus is given to south–north migration.
| Optimistic | Pessimistic | Pluralist |
Global welfare – sending, migrant, receiving – but mainly for the migrant Other social transfers Brain gain and income opportunities Other knowledges acquired Remittances – invested in education, start-up capital | Brain drain | Other social transfers Only wealthier can migrate Brain bank – feedback effect Remittances – may reduce incentives to work Norms and behaviours, e.g. rule of law |
Video 2.1 reveals that the outcomes of migration for development are complex and can differ between the sending country, the receiving country and the migrant. What benefits the migrant may not benefit either the sending or receiving country, or what benefits the receiving country is a net loss to the sending country, or vice versa.
It also reveals that the development outcomes are not singular. Some concern income – what was referred to as global welfare – and these finances had knock-on effects like start-up capital or paying for education in the sending country. But it could also be more intangible effects like attitudes towards gender or the rule of law, which may be less immediate or visible, but nonetheless are important for development.
Can we find a coherent framework for linking migration and these diverse development outcomes? Let’s look at what IG offers us.
In Week 1, we looked at the general idea of IG; this week, we have been looking at the complex linkages between migration and development. In this section, we want to bring these two aspects together by looking at migration and IG together.
IG contains elements of different theories, but is more in what de Haas would call the pluralist camp: it seeks to combine social and cultural factors with economic ones, and to give us a more nuanced understanding of the levels and geographical factors that link migration and development outcomes.
Let’s start by revisiting the MIAG framework that you looked at in Week 1. Take a minute to refresh your memory of the framework, which seeks to capture the interplay of economic and non-economic factors for well-being outcomes.

In the rest of this week, we are primarily concerned with the outcomes for IG, whereas in Week 4 we focus more on the red part of the framework at the bottom of Figure 2.3, which relates to the policy implications. The challenge we need to consider is how we combine the economic and non-economic factors in researching and analysing migration. The following activity involves hearing from various migration experts reflecting on how they have attempted to grapple with these issues. Then the following two activities give you the opportunity to look at real data to get hands-on experience of trying such an analysis for yourself.
This activity involves watching Videos 2.2–2.5, which include extracts from a webinar that took place in November 2021. The webinar brought together world-leading experts on migration and development and was structured as a conversation rather than discrete presentations. They are:
As you watch, reflect on the following questions and identify the issues where the speakers agreed and differed:
The discussion was broad-ranging and jumped from quite focused and ‘tangible’ issues (like remittances) to very important global issues that have no obvious focus, such as climate change and the future of the nation state. All the speakers agreed that migration and development are closely intertwined, and saw mobility as central to development processes rather than something ‘wrong’ that needed to be managed away.
An interesting point raised by Dilip Ratha was that migration researchers may focus on something tangible or smaller-scale because it is manageable in terms of analysis or in recommending policy actions. As people who have done this for much of their professional careers, the speakers were not arguing that this was the wrong thing to do, but they were insistent that we must also look at the ‘bigger’ picture. For Dilip, one of these bigger issues was what he called the social contract between people and the state. He argued that nation states are somewhat artificial constructs, yet they exert a powerful force on all our lives even as they create huge contradictions and tensions as a result. We have inter-state conflicts, migrants are often stopped from moving by national borders and forced into illegality as a result, or ‘citizens’ may feel their nation is being swamped by migrants who are at the same time delivering vital services. He said that things like climate change showed the limitations of thinking in terms of territorial states because many powerful forces don’t operate by such logics.
Heaven Crawley usefully framed the links between migration and development as about inequality; she even argued that the issue is not the migration aspect but the inequality aspect. Inequality can drive migration and migration in turn shapes (in)equalities. If we take this view, she argued, then we need to understand what creates inequalities in the first places – such as capitalism – but equally to acknowledge that migration can only ever impact on these inequalities to a limited degree. At one point she discusses the point that only the better off migrate and that the really poor and the really rich rarely migrate, because the poor can’t afford to and the rich don’t need to. In this way, she also linked more focused issues of migration and inequality to much wider challenges around the ways in which capitalism creates winners and losers.
This insight about migration, inequality and development also opened a point that all speakers agreed upon about migration and development being a two-way process that links the different locations where migrants are living and where they are ‘from’. Heaven mentioned remittances and Oliver mentioned cross-border trade. This two-way set of flows also meant that we have to focus on the local contexts where migration is occurring.
The speakers also agreed that ‘development’ was much more than financial flows, like remittances. Dilip mentioned the ‘intangible’ aspects that people only discussed anecdotally, while the other speakers also mentioned things like skills, values, beliefs, etc. that are part of these two-way flows. It was interesting that researchers may focus on more tangible aspects like remittances and investments because they can be ‘counted’, whereas intangible aspects – like women’s equality – is harder to pin down and so gets relatively ignored.
Running through various discussions were important questions of scale and geography. All speakers noted that south–south migration is important, and that international migration is not just about south–north flows. Heaven also noted that ‘the south’ is not homogenous, so we must avoid talking in too general terms – which brings us back to the question of context being important. Another interesting aspect to this was an issue raised by Oliver about whether Africa was somehow ‘different’. His argument, echoed by the others, was that migration in, to and from Africa raises similar questions to other migration flows. He echoed Dilip in arguing that some of this is about the nation state and how well migrants are ‘integrated’ into their host societies; no country anywhere in the world has dealt with this well.
There was much discussion around policies and actions that respond to these migration and development challenges. We will return in more detail to this in Week 4 of this course, but some of the speakers’ provocations are worth noting here:
While these experts have many years of researching migration, we all have our own experiences and expertise. On these matters, as with all the social world, there are no unequivocally ‘right’ and ‘wrong’ opinions. So, you may wish to reflect on whether you agreed more with one or more of the speakers and, if so, why? There is no ‘correct’ answer. All standpoints are valid, and it is up to you to justify your own position using ideas and evidence.
From the activity, you can see that these experts tend to agree on a number of things that are central to our framing of migration and IG:
In different ways, the speakers also raised methodological challenges about how you research these things, which we now turn to.
In Week 1, you looked at some quantitative data from the World Bank and other international organisations to understand some global trends in growth and how far they were ‘inclusive’ or ‘non-inclusive’. Week 1 also covered the need to combine data to get a fuller picture of what sorts of growth were occurring in any given context. In this and the next section, we want to put some of those general observations into practice by analysing some data on migration and inclusive growth drawn from the MIAG project.
Broadly speaking, the MIAG project sought to understand what role migration played in Africa’s inclusive growth. As discussed in Week 1, ‘big’ data can help us to understand trends at the national level and patterns of growth and inequality between nations. Likewise, data on migration can get a sense of the numbers of migrants in a country, as well as the net flows in and out of that country. We call this macro-level data. Of course, all this ‘official’ data only counts what can be counted, or what a nation state is able to count, so it is never fully accurate. For example, some states have weak capacity and so do not routinely collect some data, or when it comes to flows of migrants, many may enter a country illegally – which means they won’t get counted in formal immigration records. Despite these limitations, big data can help us understand some general trends.
But if we wanted to understand, for example, how migrant businesses recruit labour and what sorts of labour they prefer, it’s very difficult to get this information from national-level data. Equally, if we wanted to know about the skills levels of women migrants, we can’t get that from an international database. Because MIAG sought to understand migration’s impact on growth outcomes, we had to use other data-collection methods to get at these micro-level issues, such as:
MIAG sought to collect different sorts of data and combine them to help us analyse the complex links between migration and development. These data-collection methods break down crudely into quantitative and qualitative approaches. You don’t need to worry about understanding these methodological approaches in detail, but Table 2.1 summarises the key differences.
| Qualitative | Quantitative | |
| Conceptual | Concerned with understanding human behaviour from the informant’s perspective Assumes a dynamic and negotiated reality | Concerned with discovering facts about social phenomena Assumes a fixed and measurable reality |
| Methodological | Data are collected through participant observation and interviews Data are analysed by themes from descriptions by informants Data are reported in the language of the informant | Data are collected through measuring things Data are analysed through numerical comparisons and statistical inferences Data are reported through statistical analyses |
The semi-structured interviews are a qualitative approach, and the analysis of the macro-data is a quantitative approach. The surveys lie somewhere in the middle. A survey can generate quantitative data with factual or closed questions, such as ‘How many people do you employ?’ But a survey could have more open-ended questions or a spectrum of possible responses, like ‘What was the biggest barrier to setting up your business?’ In our survey, we combined both sorts of questions
Now you can try analysing some quantitative data.
MIAG has generated large datasets for the four countries of our study. This covers a range of IG indicators, as well as data on migration trends. We want you to see if you can discern any relationships between migration and inclusive growth.
You may have come up with different potential relationships and tentative explanations. What this activity shows is that big data can help us look at trends, but when it comes to definitive answers about whether immigration has caused such trends we can only speculate. This speculation is helpful to an extent, because it points in certain directions that need more investigation. Certainly, we need to know more about whether immigrants bring new investment into the country and whether they create businesses that help reduce the vulnerability of employment. And it is here, as we will find out, that micro, qualitative data can help.
Now watch Videos 2.6–2.9, where the country experts for Kenya, Mozambique, Ghana and Nigeria try to explain some of the trends in the data, given their local expertise.
As you watch, use the space below to make notes in response to the following questions:
The trends, opportunities and impacts of migration on Kenya are as follows:
The trends, opportunities and impacts of migration on Mozambique are as follows:
The trends, opportunities and impacts of migration on Ghana are as follows:
The trends, opportunities and impacts of migration on Nigeria are as follows:
In terms of common trends, political stability emerges as critical: it has brought inward migration flows in Ghana and Mozambique, whereas political instability in Nigeria and Kenya has led to emigration.
In most cases, immigration is driven by one or two economic sectors, such as oil or mining. Africa’s place in the global economy has largely been as a supplier of raw materials, so these trends are to be expected.
But there are some signs of diversification, with ICT appearing to be a growth area. Chinese migration also seems common across all four cases – as the Chinese economy has grown there has been a growing need for raw materials, while competition in China has forced many Chinese to seek a living overseas.
The last activity on quantitative data revealed some big trends at the national level, but we concluded that it is difficult to establish whether and how migration is linked to IG.
We need qualitative data at the micro-level to try to understand these possible connections. As noted in the last section, we used semi-structured interviews with some key participants. Conducting these interviews usually followed some well-worn paths, but equally, we needed to tailor the approach to the specific project rather than use a one-size-fits-all approach.
For MIAG, we had to:
In the next activity, you are going to get involved in the latter stages of this process by coding some of MIAG’s interview transcripts.
Before that, read this short description of what a semi-structured interview involves. As you read, consider why might it be a good technique to unpack some of the processes linking immigration to inclusive growth.
The semi-structured interview is a qualitative data-collection strategy, where the researcher asks informants a series of predetermined but open-ended questions. The researcher has more control over the topics of the interview than in unstructured interviews, but in contrast to structured interviews or questionnaires that use closed questions, there is no fixed range of responses to each question.
Researchers who use semi-structured interviewing develop a written interview guide in advance. The interview guide may be very specific, with carefully worded questions, or it may be a list of topics to be covered. The interviewer may follow the guide to the letter, asking the questions in the order they are given, or the researcher may move back and forth through the topic list based on the informant's responses. In either case, the topics of the interview guide are based on the research question and the tentative conceptual model of the phenomenon that underlies the research.
The key is that while we had what Given describes as a ‘tentative conceptual model’ – that migration is linked to IG – we did not want to assume what the mechanisms were that linked the two. We wanted the participants to tell us about their experiences as immigrant business owners, and having a range of topics to be discussed seemed the best way. It also left room for them to go off in directions that we hadn’t necessarily predicted, but which gave us useful insights into the questions we were seeking to answer.
When we code interview transcripts, we need to have some themes or questions in mind. These were largely inclusive growth processes as set out in the MIAG framework around economic and non-economic factors. For this activity, we are going to focus on one question: to what extent, and in what ways, do migrant-owned businesses create jobs in the local economy?
We have selected two extracts (both around 500 words in length) from our semi-structured interview transcripts that were originally conducted in Kenya in September 2020:
These transcripts have been anonymised so you cannot tell who might be speaking. Read the transcripts and use the highlighter function to identify any phrases, sentences or longer quotes that you think answer the question about job creation. Remember to save your documents.
What can you say in response to the question about job creation? Do immigrant businesses create jobs? Who gets these jobs? Are these good jobs?
Now watch Videos 2.10–2.13, where Craig Walker and Ben Lampert, both of The Open University, discuss how the MIAG project coded and interpreted these transcripts in relation to the IG concepts.
As you watch the four videos, use the space below to make notes on the following questions:
Compare your answers to the following notes:
The discussion between Ben and Craig around the semi-structured interviews reveals MIAG’s attempts to capture the complexity of the links between migration and development. The key here was around causality: that is, we can use other data to discern some patterns, such as discovery of oil leading to more skilled inward migration. But these patterns don’t tell us how all this happens, so qualitative methods are one way to explore the causal mechanisms linking migration and economic opportunities.
The question of causality linking migration and development, and vice versa, is highly complex and – as the experts discussed in Activity 2.4 – is also context-specific. By focusing on immigrant business, MIAG homed in on a critical area of causality: how businesses operate and how they create growth opportunities. Week 3 will analyse this in more detail and you will also learn more about other methods used by MIAG.
This week you have:
The last activity about job creation by immigrant businesses raises bigger questions about the role of entrepreneurship in generating inclusive development, which we will turn to in Week 3.