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Week 2: Migration and inclusive growth in Africa

Introduction

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:

  • useful for making us consider both the economic and non-economic dimensions of development
  • an antidote to prioritising economic growth over all other considerations, and as a way of addressing the growing inequalities that have accompanied recent growth periods
  • a general concept that organisations like the OECD apply to a wide range of countries, sectors and groups.

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:

  1. Understand the main debates and dimensions of inclusive growth.
  2. Appreciate and apply some of the methodologies for trying to measure inclusive growth.

2.1 Looking at migrants

Before starting this week’s learning, try Activity 2.1.

Activity 2.1: Where are migrants coming from and going to?

Timing: Allow approximately 5 minutes

Look at Figures 2.1 and 2.2. Where do you think they are arriving and where might they be from?

Figure 2.1 Migrants in a dinghy.
Figure 2.2 Migrants crossing a river.

Discussion

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:

  • Much of the literature – like the photos in Activity 2.1 – assumes that the flows are from poorer countries of the Global South to wealthier countries of the Global North. In fact, most international migration – that is, migration from one country to another – is ‘south–south’, meaning that migrants move from one Global South country to another. In the context of Africa, 75% of international African migrants are in another African country (Flahaux and de Haas, 2016).
  • Something linked to the point above is that these migrant flows set up further flows in other directions. You may have heard of ideas like the ‘brain drain’, which refers to the loss of talent from Global South countries as skilled migrants leave. The assumption about migrant flows being south–north is that remittances (financial flows from international migrants back to their families in their ‘home’ countries) back to the Global South are seen as compensation. Sometimes these remittances are ‘pooled’, so that a group of migrants may, for example, support their home community in some way rather than just their immediate families. This has become the mainstream view of migration and development, with much of the focus being on the scale of remittance flows back to the Global South.
  • The focus of much migration and development literature is on particular levels. For example, remittance flows are calculated as a percentage of overall GDP, a measure of income for an entire country; meaning the focus is at the national level. Alternatively, some study remittances within households and what that means for the well-being of these households, as well as for things like inequality between households and inflation. These levels are treated as discrete – either national or household – but they are often inter-connected. When a particular region has a lot of successful migrants, then remittances can benefit that region. This in turn can lead to inequalities between regions within a country. We need approaches that cut across or connect levels, and address key areas of uncertainty in migration and development debates around whether and how migration affects inequality.

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.

2.2 How do we conceptualise migration and development?

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.

Activity 2.2: Conceptualising migration and development

Timing: Allow approximately 30 minutes

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.

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Activity 2.3: Applying de Haas’ framework

Timing: Allow approximately 15 minutes

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.

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Video 2.1 Oxford Migration Observatory interview with Dr Carlos Vargas-Silva.
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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.

OptimisticPessimisticPluralist
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Discussion

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.

OptimisticPessimisticPluralist

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.

2.3 What does inclusive growth add to our understanding of migration and development?

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.

Figure 2.3 MIAG framework.

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.

Activity 2.4: Linking migration and IG

Timing: Allow approximately 30 minutes

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:

  1. What did the speakers think we should look at when considering the linkages between migration and development?
  2. What mechanisms did the speakers identify that link migration and development outcomes?
  3. What is the appropriate geographical framing for looking at migration and development?
  4. In broad terms, what did they feel should be done to enhance the contribution of migration to development?
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Video 2.2 Theme 1: How are migration and development linked?
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Video 2.3 Theme 2: What mechanisms link migration and development?
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Video 2.4 Theme 3: Over what geographical scales do we study migration and development?
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Video 2.5 Theme 4: What policy responses might we imagine?
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Discussion

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:

  • The first issue relates to the normality of migration. If we accept that migration is part and parcel of all development, then it should be encouraged. Policymakers and international organisations should do more to facilitate mobility, but this runs into the logic of the nation state system, which seeks to limit and control movement. This is one of the biggest tensions in the world today.
  • All agreed that there’s only so much that policy can achieve, and that we should not feel we need a policy for everything – Dilip talked about addressing more ‘tractable’ issues. Policies also tend to look similar and do not address contextual issues, and the speakers raised the issue of whether the audience for these policies are domestic constituencies or in fact international institutions, such as donors.
  • Heaven picked up on this to say that migration is always politicised and used by vested interests to make some political capital – for example, they may ‘blame’ migrants for some inequality, whereas the inequality was deep-seated and existed irrespective of migration.
  • Similarly, when discussing climate change and migration, commentators often see the problem as one of climate migrants coming to the Global North to escape poverty and ecological change, whereas the real problem is excessive consumption of goods, which generate greenhouse gases. In this case, migrants become the targets of political debate and so divert attention from the actual causes.

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:

  • the intertwining of migration and development
  • development encompasses many tangible and intangible aspects
  • migration creates two-way flows so we have to understand multiple contexts
  • south–south migration is very important
  • addressing the development challenges associated with migration may mean addressing ‘big’ structural issues rather than home in on migration as ‘the problem’.

In different ways, the speakers also raised methodological challenges about how you research these things, which we now turn to.

2.4 Analysing migration and inclusive growth data: quantitative

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:

  • a business survey with immigrant businesses in the four African countries
  • a survey of a smaller number of non-immigrant businesses to see if one type of business was more or less likely to bring about IG
  • semi-structured interviews with various kinds of participants, such as migrant associations, leading figures in a particular migrant community, or officials with a responsibility for immigration and business matters.

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.

Table 2.1 Differences between qualitative and quantitative data-collection methods (McLeod, 2019).
 QualitativeQuantitative
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.

Activity 2.5: Analysing quantitative data

Timing: Allow approximately 30 minutes

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.

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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.

Activity 2.6: Linking immigration to inclusive growth in Africa

Timing: Allow approximately 25 minutes

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:

  • How has immigration in each country changed over the last 30 years?
  • Has this immigration been driven by any changes in the opportunities within each country?
  • To what extent has this immigration in turn driven changes in each country’s development?
  • Are there any common trends across the four countries?
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Video 2.6 Immigration trends in Kenya.
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Video 2.7 Immigration trends in Mozambique.
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Video 2.8 Immigration trends in Ghana.
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Video 2.9 Immigration trends in Nigeria.
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Discussion

Kenya

The trends, opportunities and impacts of migration on Kenya are as follows:

  • Trends:
    • Political instability led to emigration in the 1990s
    • More recently there have been changes in policies, meaning diaspora return and immigration to Kenya
    • Intra-regional mobility is a constant
  • Opportunities:
    • Existing and growing sectors
    • Manufacturing (Indians)
    • Retail and hospitality (Indians and UK)
    • Infrastructure (Chinese)
    • Trading (regional)
    • ICT and banking (Nigerians)
  • Impacts:
    • New products
    • Skills transfer and hiring locally
    • Job opportunities
    • Competition

Mozambique

The trends, opportunities and impacts of migration on Mozambique are as follows:

  • Trends:
    • Mozambique is no longer a transit country
    • It now receives migrants
    • South Africa is no longer friendly
    • There is peace in Mozambique
    • There are more Muslims in Maputo
    • Migration is not just focused on Maputo
  • Opportunities:
    • There is peace in Mozambique
    • The country is open for investment
    • Mining
  • Impacts:
    • Buildings and infrastructure
    • Africans are given more opportunities than locals

Ghana

The trends, opportunities and impacts of migration on Ghana are as follows:

  • Trends:
    • Long history of migration from colonial period
    • West African region
    • Expulsions in the 1960s and 1970s
    • Immigration has increased since 2000 from 190,000 to 420,000
    • Immigration from Asian countries is increasing
  • Opportunities:
    • Mining
    • Agricultural
    • IT
    • Oil discovery in 2007
    • Other investment opportunities following investment policy change
    • Lower and middle income status
    • Political stability
  • Impacts:
    • Jobs in some sectors, such as oil and gas
    • Service jobs more indirect
    • Taxes and revenues
    • Competition for jobs
    • Environmental consequences (such as Chinese in mining)

Nigeria

The trends, opportunities and impacts of migration on Nigeria are as follows:

  • Trends:
    • Nigeria used to be a vibrant economy
    • Emigration for education and training
    • Military rule undermined development
    • Lots of emigration and reduced immigration
  • Opportunities:
    • Nigeria has lots of immigrants, especially from neighbouring countries
  • Impacts:
    • Skilled people left
    • Local employment is tight

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.

2.5 How can we delve deeper into these processes?

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:

  • identify possible participants
  • discuss the project and get their consent to participate
  • conduct the interview
  • transcribe the interview
  • analyse the transcription through a process of coding.

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.

What are semi-structured interviews?

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.

(Given, 2008)

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.

Activity 2.7: Qualitative data analysis exercise

Timing: Allow approximately 45 minutes

Step 1

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?

Step 2

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?

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Activity 2.8: Coding transcripts

Timing: Allow approximately 30 minutes

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:

  • Why did MIAG use semi-structured interviews?
  • How were the interviews designed?
  • How was the data analysed?
  • How did MIAG make sense of this data?
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Video 2.10 Part 1: Asking structured questions.
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Video 2.11 Part 2: Designing an interview.
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Video 2.12 Part 3: Refining the data.
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Video 2.13 Part 4: Findings and insights.
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Discussion

Compare your answers to the following notes:

  • Why did MIAG use semi-structured interviews?
    • IG is complex to theorise and analyse empirically
    • MIAG had quantitative data, but this is descriptive
    • Need to understand why things are happening
    • The survey started to address the ‘Why?’ questions, but is still quite quantitative
    • They provide richness and depth of the individual migrant journey and to understand causal links; for example, focused on employment practices
  • How were the interviews designed?
    • Widened the scope of who was interviewed
    • Five groups were interviewed: government, civil society organisations, representatives such as community leaders, migrant business owners and nationals who were connected to migrant businesses
    • A range of people allow us to get different perspectives
    • 115 interviews per country, 460 in total
    • Questions were tailored to each group of respondents
  • How was the data analysed?
    • Some interviews were quite long
    • Developed a code book, so MIAG went back to original IG variables (this is a deductive approach)
    • Had to be open to contextual issues
    • Started with three broad codes (migrants, IG and governance) and then broke these down further into different levels
    • Code transcripts using these codes
    • As the project started MIAG found lots of richness, so they moved to a more inductive approach and added these as new codes (for example, around politics)
    • Some findings fall outside our expected IG concepts, such as local capacities
    • In summary: a two-pronged approach
  • How did MIAG make sense of this data?
    • It was not easy, because the data set was so big
    • Worked closely and collaboratively
    • Used qualitative analysis software
    • Had to meet as a team to generate a shared sense of how to interpret the transcripts; this led to greater consistency across the team and allowed people to share thematic findings
    • They then had to revisit the IG literature and see how these emergent themes spoke to these concepts and theories

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.

Conclusion

This week you have:

  • looked at the debates around migration and development, which show differences of opinion between people and over time
  • examined how IG concepts might help us to understand the ‘development’ side of the migration/development nexus
  • been introduced to some of the methodological challenges of trying to analyse the relationship between migration and IG
  • practised analysing quantitative and qualitative data relating to migration and IG.

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.

References

de Haas, H. (2010) ‘Migration and development: a theoretical perspective’, International Migration Review, 44(1), pp. 227–64, DOI: 10.1111/j.1747-7379.2009.00804.x.
Flahaux, M.-L. and de Haas, H. (2016) ‘African migration: trends, patterns, drivers’, Comparative Migration Studies, 4(1) [online]. Available at https://doi.org/ 10.1186/ s40878-015-0015-6 (accessed 18 October 2021).
Given, L. (2008) ‘Semi-structured interview’, The SAGE Encyclopedia of Qualitative Research Methods, 1, pp. 811–12 [online]. DOI: 10.4135/9781412963909.
International Organization for Migration (IOM) (2019) Migration Integration Development: Bolster Inclusion to Foster Development, 10 October, Rome: IOM [online]. Available at https://publications.iom.int/ books/ migration-integration-development-bolster-inclusion-foster-development (accessed 17 November 2021).
McLeod, S. (2019) ‘What’s the difference between qualitative and quantitative research?’, Simply Psychology [online]. Available at https://www.simplypsychology.org/ qualitative-quantitative.html (accessed 18 October 2021).