📈 economics

Dynamic of demographic transition and economic performance in ECOWAS countries

This study demonstrates that while total population growth negatively impacts economic performance in ECOWAS countries, the ongoing demographic transition—characterized by a growing working-age population and supported by agricultural and industrial sectors—significantly contributes to economic growth, confirming that these nations are currently in the second phase of demographic transition.

Original authors: Aboubakari MOUSSA, Mathurin Founanou

Published 2026-07-08

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Aboubakari MOUSSA, Mathurin Founanou

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

The Big Picture: A Changing Family Recipe

Imagine the countries in West Africa (ECOWAS) as a giant, growing family. For a long time, this family had a specific rhythm: many babies were born, and unfortunately, many people also passed away young. This is called the "old regime."

Now, the family is going through a major change, or a "demographic transition." It's like a house renovation. The number of people passing away has dropped significantly because of better healthcare (fewer deaths), but the number of babies being born is still high. This creates a unique situation: the family is getting bigger, but the mix of people inside the house is changing.

The authors, Aboubakari Moussa and Mathurin Founanou, wanted to answer a big question: Does this rapid population growth help the family's wallet (the economy) get bigger, or does it just make the house too crowded and expensive?

The Core Conflict: Pessimists vs. Optimists

The paper starts by looking at two different ways people view this population boom:

The Pessimists (The "Too Many Cooks" View): They believe that if you have too many people, you run out of food and resources. It's like trying to feed a family of 20 with a pot of soup meant for 5. They think population growth slows down the economy.
The Optimists (The "More Hands to Help" View): They believe that more people mean more workers, more ideas, and more innovation. It's like having a larger team to build a house; if managed well, you can build it faster and better.

The Study: What Did They Find?

The researchers looked at data from 1990 to 2024 for West African countries. They didn't just count heads; they looked at who those heads belonged to. They separated the population into two groups:

The "Dependents": Children and the elderly (people who generally need support).
The "Independent" (Working Age): People aged 15 to 64 (the ones who work and pay taxes).

Here is what their "recipe" revealed:

1. Total Population Growth is a Double-Edged Sword
If you just look at the total number of people growing, it actually has a tiny negative effect on how much money each person makes. It's like adding more people to a bus without adding more seats; everyone gets a little more cramped.

2. The "Working Age" is the Magic Ingredient
However, when the researchers looked specifically at the working-age population (the 15-to-64 group), the story changed completely. When this specific group grows faster than the dependent group, the economy gets a boost.

The Analogy: Imagine a relay race. If you have more runners (workers) than people waiting on the sidelines (dependents), the team moves faster. The study found that for every 1% increase in the working-age population, the economic growth per person went up by about 0.25%.

3. The "Demographic Dividend"
The paper suggests these countries are currently in the "second phase" of their transition. This is the sweet spot where the number of workers is rising sharply, but the number of children is starting to stabilize. This creates a "Demographic Dividend"—a free bonus for the economy because the workers aren't as burdened by taking care of a huge number of young children.

4. Farming and Factories are the Engines
The study emphasizes that having more workers isn't enough on its own. You need a place for them to work.

Agriculture: In West Africa, farming is still the backbone. The study found that as the population grows, the demand for food increases, which actually pushes farmers to be more productive.
Industry: Similarly, a larger population drives innovation in factories.
The Takeaway: The "Pessimists" were wrong to think population growth would run out of resources. Instead, the pressure of a larger population forced the agricultural and industrial sectors to get smarter and more efficient.

5. Education and Institutions Matter
Just like a sports team needs good coaching and rules to win, the economy needs good schools and stable governments. The study found that education (specifically secondary school) and good institutions help the economy grow, even when the population is changing rapidly.

The Conclusion: It's About Structure, Not Just Size

The main lesson from this paper is that counting heads isn't enough; you have to look at the age of the heads.

Bad News: If the population grows but it's mostly babies and elderly people, the economy struggles.
Good News: If the population grows because there are more young adults ready to work, the economy thrives.

The authors conclude that West African countries are currently in a phase where they have a massive opportunity. If they can support their growing workforce with good schools, stable governments, and strong farming/industrial sectors, they can turn this population boom into a massive economic success story. The fear that "too many people" will ruin the economy is fading, replaced by the realization that "the right kind of people" (workers) are the key to wealth.

What the paper does NOT say:

It does not claim that migration is solved (it admits migration data was missing).
It does not say this will happen automatically; it requires specific policies (like education and infrastructure).
It does not extend these findings to clinical or medical uses; it is strictly about economics and demographics.

Technical Summary: Dynamic of Demographic Transition and Economic Performance in ECOWAS Countries

Problem Statement
The paper investigates the relationship between demographic transition and economic performance within the Economic Community of West African States (ECOWAS). While the demographic transition—defined as the shift from high fertility and mortality to low rates—is well-documented in Europe and Asia, its specific dynamics and economic implications in West Africa remain under-researched. The central problem addresses the debate between "pessimist" theories (which posit that population growth strains resources and hinders development, echoing Malthus) and "optimist" theories (which suggest population growth drives innovation, economies of scale, and growth). Specifically, the authors seek to determine whether total population growth or the specific age structure of the population (particularly the working-age cohort) is the primary driver of economic performance in ECOWAS countries, which are currently in the second phase of demographic transition.

Methodology
The study employs a quantitative econometric approach using a conditional real convergence model based on the framework of Barro and Sala-i-Martin (1995).

Data: The analysis utilizes World Bank Development Indicators (WDI) data covering the period from 1990 to 2023 for ECOWAS member states.
Model Specification: The dependent variable is the growth rate of GDP per capita ( $g_{\bar{y}}$ ). The model decomposes GDP per capita growth into the growth of GDP per labor force and the ratio of labor force to total population. The estimation equation (Equation 8) is specified as:
$g_{\bar{y}} = \alpha \lambda X_t + \alpha \ln(y_0) + \gamma_1 g_L - \gamma_2 g_N + \epsilon_t$
Where $g_L$ is the growth rate of the working-age population (15–64 years), $g_N$ is the total population growth rate, and $X_t$ represents a matrix of steady-state determinants including agricultural value added, industrial value added, institutional quality, trade openness, natural resource abundance, landlocked status, and secondary schooling rates.
Estimation Techniques: The authors initially use Ordinary Least Squares (OLS) across four regression specifications to isolate the effects of demographic variables. To address potential endogeneity issues regarding population growth, a Two-Stage Least Squares (2SLS) instrumental variable approach is employed in the final specification. Instruments include lagged total population growth and the logarithm of life expectancy in 1990. Diagnostic tests (Durbin, Wu-Hausman, Sargan) are conducted to validate the instruments and model specification.

Key Results
The empirical analysis yields several distinct findings:

Phase of Transition: The results confirm that ECOWAS countries are in the second phase of the demographic transition, characterized by declining mortality rates while fertility rates remain relatively high, leading to a growing working-age population.
Divergence vs. Convergence: In initial regressions excluding demographic variables, the coefficient for initial GDP per capita was positive and insignificant, suggesting divergence among ECOWAS economies. However, when demographic variables were introduced, the coefficient for initial GDP turned negative (though still statistically insignificant in the final IV model), hinting at conditional convergence.
Population vs. Working-Age Growth:
- Total Population Growth: Shows a statistically significant negative impact on GDP per capita growth.
- Working-Age Population Growth: Shows a statistically significant positive impact. A 1% increase in the growth rate of the working-age population (15–64) is associated with an approximate 0.25 percentage point increase in GDP per capita growth.
- Dependency Ratio: The positive effect of the working-age population suggests that as the independent population grows faster than the dependent population (children and elderly), the "demographic dividend" begins to materialize, mitigating the negative effects of total population growth.
Sectoral and Human Capital Factors:
- Agriculture and Industry: Both agricultural and industrial value added have positive and significant effects on economic growth, supporting the "optimist" view that these sectors can absorb population pressure and drive productivity.
- Education: Average secondary schooling rates show a positive and significant effect on growth.
- Institutions: Institutional quality is positively correlated with growth, though its specific role in the demographic transition mechanism is noted as limited in the discussion.
- Aging: Contrary to findings in some developed contexts, the population aged 64 and over shows a small positive contribution to growth in this context.
Robustness: The instrumental variable estimation confirms the robustness of the OLS results, with no evidence of endogeneity in the total population growth variable.

Key Contributions

Disaggregation of Demographic Variables: The paper contributes to the literature by demonstrating that using "total population growth" as a proxy for demographic impact is insufficient and potentially misleading for ECOWAS. It argues that the age structure (specifically the ratio of working-age to dependent population) is the critical variable for understanding economic performance.
Regional Specificity: It fills a research gap regarding the West African context, providing empirical evidence that these countries are actively undergoing the demographic transition and that the associated economic dynamics differ from the "pessimist" Malthusian predictions often applied to the region.
Sectoral Validation: The study empirically validates the role of agricultural and industrial productivity in supporting the demographic transition, suggesting that economic modernization in these sectors is a prerequisite for realizing the demographic dividend.

Significance and Claims
The authors claim that their findings support a shift from pessimistic to optimistic views on population growth in developing regions undergoing demographic transition. The paper asserts that:

The negative impact of total population growth on economic performance is weak and can be offset if the working-age population grows faster than the dependent population.
The "demographic dividend" is a tangible reality for ECOWAS, provided that structural policies support the productive capacity of the expanding labor force.
The fear that population growth will deplete resources and undermine the economy is unfounded in the presence of developing agricultural and industrial sectors.
While institutional stability is crucial for economic growth, the study notes that institutions alone do not drive the demographic transition; rather, the transition is driven by economic and social changes (healthcare, education, urbanization).

The authors maintain a modest tone regarding causality, acknowledging that while the correlation is strong, the causal link between population growth and economic growth requires further exploration, particularly concerning migration and specific labor force categories (e.g., unemployment, informal work, and students within the working-age bracket).

The Big Picture: A Changing Family Recipe

The Core Conflict: Pessimists vs. Optimists

The Study: What Did They Find?

The Conclusion: It's About Structure, Not Just Size

Technical Summary: Dynamic of Demographic Transition and Economic Performance in ECOWAS Countries

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