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.

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

2.5 How can we delve deeper into these processes?