Impacts of Global Warming on Subnational Poverty and Inequality
- May 20
- 3 min read
New research across 130 countries finds each degree of warming could push nearly 100 million more people into poverty — and national data barely captures it.
We know climate change threatens economies — but its specific effects on poverty and inequality have remained surprisingly underquantified at the global level.
Dang et al. tackle this gap directly in their study, using a novel dataset of subnational poverty and inequality data spanning more than 1,600 regions across 130 countries over the past decade.
Crucially, by working at the subnational rather than country level, they uncover effects that national-level analyses consistently miss — and the picture is significantly worse than previously understood.
Key Findings
A degree of warming carries a measurable poverty cost
The core finding is stark: a 1°C increase in temperature raises headcount poverty by 0.63–1.18 percentage points under the US$2.15 daily poverty line — equivalent to 8.3–15.6% increases relative to the current mean. Projected forward, this translates to between 62.3 and 98.7 million additional people living in extreme poverty by 2030 compared to a scenario without climate change. Inequality follows a similar pattern, with a 1°C rise pushing the Gini index up by 1.3–1.9% and the Theil index by 4.5–5.1%. These are not marginal effects — a 1°C rise in temperature would widen the inequality gap between a country like Italy (Gini: 34.6) and Namibia (Gini: 53.8) by roughly 2.4%, and that's before accounting for cumulative warming across decades.
The subnational lens reveals what country-level data hides
One of the study's most important methodological contributions is demonstrating that national-level analyses systematically underestimate climate impacts. When the same models are run on country-level data, the results are similar in direction but lose statistical significance almost entirely — meaning that relying on national averages alone would lead policymakers to conclude that climate change has no measurable effect on poverty or inequality, when in fact it clearly does. The subnational approach captures the wide internal variation within countries that drives these effects. In Indonesia, for example, poverty rates range from 0.1% in the west to 42% in the east, and temperatures vary by 12°C across the country — variation that vanishes entirely in a national average of 8% poverty and 25°C.
The poorest countries and most agriculture-dependent economies are hardest hit
The effects are strongly heterogeneous. Low- and lower-middle-income countries experience temperature impacts on poverty roughly three times larger than upper-middle and high-income countries. Sub-Saharan African nations — including Madagascar, Malawi, Zambia, the DRC, and Mozambique — face the largest projected poverty increases. The effects are also driven heavily by extreme heat: it is temperatures above 30°C, not moderate warming, that push poverty and inequality up most sharply, making already-hot countries especially exposed. Countries with large agricultural sectors are significantly more affected than those with higher manufacturing shares, pointing to crop yield losses as a key transmission channel — causal mediation analysis confirms that agricultural impacts (proxied by vegetation health and soil moisture) explain roughly 7–28% of the total effect, with other mechanisms such as labour productivity losses and conflict likely contributing the rest. Democratic regimes, by contrast, appear meaningfully less vulnerable, suggesting that institutions and governance quality shape climate resilience.
Who Pays the Price
The distributional implications of these findings are significant. Climate change does not simply slow economic growth uniformly — it actively widens the gap between rich and poor, both within and between countries.
Higher-income regions have the infrastructure, economic diversification, and policy capacity to buffer temperature shocks; lower-income regions do not. There is also an interesting asymmetry at the colder end: some evidence suggests that colder temperatures are associated with less inequality in richer countries — an effect that has received almost no attention in the existing literature.
From a policy standpoint, the study points clearly to the insufficiency of assessing climate's poverty impacts through macroeconomic models alone. The relationship between temperature, poverty, and inequality cannot be recovered by first estimating GDP effects and then applying distributional assumptions — the subnational dynamics are too complex and too important to be captured that way.
The Hidden Cost of a Warming World
Dang et al. make a compelling case that the true human cost of global warming — measured not in GDP lost but in people pushed into poverty and inequality widened — is larger than the existing literature has suggested, and that this underestimation is partly a product of the data and methods used to measure it. Every degree of warming carries a price, and the people least responsible for emissions are paying the most of it.
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