Push-pull migration theory explains movement as a balance between pressures to leave rural areas and attractions to urban areas. People migrate when expected urban gains in income, services, safety, or opportunity outweigh the social and financial costs of moving. This is why migration decisions vary by household goals, age, skills, and risk tolerance.
Cumulative causation means early urban growth creates conditions for further growth. As firms and workers cluster, they generate more jobs, markets, and infrastructure, which attracts additional migrants and investment. This self-reinforcing loop makes growth rates in major LIC cities rise faster than in smaller settlements.
Demographic momentum keeps urban populations rising because large young cohorts produce many births over time. Even when fertility starts to decline, the absolute number of births can remain high due to age structure. This principle explains why natural increase can remain a major component of urban growth.
Step 1: Define the growth components by separating migration effects from natural increase. A useful identity is , where is urban population change, is rural-urban net migration, and is urban natural increase. This prevents vague answers that treat all growth as migration.
Step 2: Classify causes using a four-factor lens: social, economic, environmental, and political influences. This method works because most migration decisions are multi-causal rather than single-cause, and it forces balanced reasoning. It is especially effective in exam responses that require breadth plus explanation.
Step 3: Trace feedback and timing by showing how initial growth changes later drivers. For example, new factories increase labor demand, which raises migration, which expands informal and formal service sectors, which then attracts more firms. Use this sequence when asked to explain why growth becomes rapid rather than merely steady.
| Concept Pair | First Concept | Second Concept | Why the distinction matters |
|---|---|---|---|
| Urbanisation vs Urban growth | Rising urban proportion of national population | Absolute increase in city population/area | One is relative share, the other is total size change |
| Natural increase vs Migration | Births minus deaths in urban population | Population change due to movement | Prevents double counting drivers |
| Push factors vs Pull factors | Pressures leaving rural areas | Attractions drawing people to cities | Helps structure causal explanation |
| Rapid vs Slow urban growth | Growth outpaces service provision and planning | Growth largely matched by infrastructure | Indicates likely planning and welfare outcomes |
Build answers with a causal chain, not isolated facts. A strong chain is: rural pressure or urban attraction migration labor supply and market expansion more investment faster urban growth. This structure demonstrates understanding of process, which examiners usually reward more than memorized lists.
Quantify relationships when possible, even with simple symbolic forms. For example, state that total urban change is the combination of migration and natural increase, then explain which component is dominant in many LIC contexts. This shows methodological control and avoids generic statements.
Memorize this check: Define the term, separate growth components, classify causes, then link to a feedback loop.
Mistake: treating natural increase as migration leads to wrong causal attribution. Natural increase includes only births and deaths, so incoming migrants are excluded until they contribute to future births or deaths. This matters because policy responses differ for fertility-related growth versus migration-led growth.
Mistake: assuming every pull factor is just the opposite of a push factor oversimplifies real decisions. People compare expected opportunities, costs, risk, and social ties, so push and pull are not perfect mirror images. Better answers show how several factors interact for different households.
Mistake: presenting urban growth as purely positive or purely negative reduces analytical quality. Rapid growth can expand productivity and services while also straining housing, transport, and sanitation when planning capacity is weak. Balanced evaluation is usually required in higher-mark responses.