Revisiting the correlates of carbon emissions in Africa using a CS-ARDL model: does obesity matter?
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Abayomi Samuel Oyekale
Could rising obesity make climate change worse? The idea sounds plausible: heavier food demand might mean more livestock, more land use, and more emissions. But across Africa, this study found no detectable link.
Although numerous studies have examined the determinants of CO₂ emissions in Africa, the potential association between obesity prevalence and greenhouse gas (GHG) emissions remains unexplored. Therefore, this study examines whether obesity prevalence is significantly associated with CO₂ emissions across African countries. Panel data for 46 African countries covering 1991 to 2022 periods were used. Some preliminary tests such as stationarity, slope heterogeneity, cross-sectional dependence and cointegration were conducted to inform estimation of a Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model. The results revealed a long-run equilibrium relationship, as indicated by statistically significant and negative error correction terms (p < 0.01). Although obesity was statistically insignificant (p > 0.10), key structural and economic variables such as lagged emissions, GDP per capita, carbon intensity, and the livestock index positively and significantly influenced CO₂ emissions (p < 0.05). Conversely, renewable energy use had a significant CO₂ mitigating effect (p < 0.05). The findings indicate that after accounting for other economic and institutional drivers, obesity prevalence in Africa is not significantly associated with CO₂ emissions. Therefore, the recently hypothesised obesity-emissions relationship in the literature is not supported by the evidence from this study. The study contributes to the emerging health-environment literature by providing cross-country African evidence on whether population-level obesity translates into a detectable association with aggregate CO₂ emissions. The findings further highlight the importance of clean energy, sustainable urbanisation, agricultural transformation and inclusive green-growth policies for emissions mitigation in Africa.
Transcript
Could rising obesity make climate change worse? The idea sounds plausible: heavier food demand might mean more livestock, more land use, and more emissions. But across Africa, this study found no detectable link. Carbon dioxide in the atmosphere remains a primary driver of climate change, and worsening environmental conditions could bring severe economic consequences.
That is why understanding the social and economic forces behind emissions matters: current production and consumption patterns are not environmentally sustainable in the long run. Against that background, the possible connection between obesity and greenhouse gas emissions had remained unexplored in Africa.
The study asks whether obesity prevalence is significantly associated with carbon dioxide emissions across African countries. The results point to a long-run relationship among the broader forces shaping emissions, but obesity itself was not significant. Economic activity, carbon intensity, and livestock production were positively linked with emissions, while renewable energy reduced them.
The proposed link between obesity and emissions begins with food. Some dietary changes associated with obesity may rely on production processes that use a lot of carbon. When diets associated with obesity increase demand for livestock and crops and more carbon-intensive processed foods, production can raise emissions through intensive systems and land-use change.
To separate obesity from other forces moving together, the study used CS-ARDL, a model for dynamic relationships that incorporates cross-sectional averages to address dependence and differences across countries. This approach was chosen because the countries can affect one another and because the strength of relationships may differ across them.
It is designed to estimate both short-term changes and longer-term relationships. The results covered total emissions and emissions per person, using both greenhouse gases and carbon dioxide. Across these versions, the models fit the data well.
The results also indicated that cross-sectional dependence was not statistically significant, suggesting that the model had properly addressed countries’ tendency to move together. Here is the central surprise: obesity showed no systematic association with aggregate carbon emissions within the observed African countries and period.
That result held in both the short run and the long run, contrary to some earlier findings and theoretical expectations from studies in some high-income countries. One possible explanation is that obesity often coexists with undernutrition and food insecurity in several African contexts.
That may represent a different nutrition pathway from the one seen in richer countries, where obesity is often linked with more resource-intensive consumption. So the study’s finding does not mean health and climate can never intersect.
It means obesity did not show a significant relationship with emissions in this setting. The study found that carbon intensity was positively associated with carbon dioxide emissions. In plain terms, more carbon-heavy activity went together with more emissions.
The policy direction is therefore to promote low-carbon technologies, energy efficiency, and industrial processes that meet enforced emissions standards. Reducing greenhouse gas emissions is presented as necessary for reaching many development goals, especially as environmental damage becomes more costly for Africa’s development.
Within the African context, current levels and patterns of obesity did not independently influence emissions in a significant way. The study suggests this may reflect lower obesity prevalence in many countries or lifestyle changes that have not reached a carbon-emissions threshold.
The practical lesson is not to treat obesity as the main climate lever: in the African context, current obesity levels and patterns do not independently influence emissions significantly. For people living through rising food, energy, and environmental costs, that points toward policies that make everyday development cleaner without assuming that one health trend explains the whole climate problem.
The study’s main message is that obesity was not independently tied to carbon emissions, while energy use, economic activity, livestock production, and carbon intensity mattered. Cleaner energy and more efficient production are the practical targets.
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