Investigating the Association between Education and Climate Change: A Country-Level Study

Education is widely expected to be inversely related to climate change: better-educated societies should, through awareness, values, and technical capacity, degrade the environment less. Yet education is also tightly bound to income, which independently raises consumption and per-capita emissions, so the relationship need not appear directly in carbon. Using a country-year panel of 97 countries observed over 2013-2020 (402 observations) from the World Development Indicators, we relate six education measures—attainment at the master’s and bachelor’s levels, tertiary enrollment, advanced-education labor, government education spending, and scientific output—to five climate-change and environmental indicators (per-capita CO₂, PM2.5 air pollution, forest depletion, the coal share of electricity, and the renewable-energy share), controlling for income, population, and unemployment. In pooled country-year regressions, the expected inverse relationship appears on specific margins: government education spending, master’s attainment, and advanced-education labor are associated with a greater renewable share, and tertiary enrollment and advanced-education labor with lower particulate pollution; only the spending-renewables association remains significant after adjustment for multiple testing. The relationship is concentrated between countries rather than within them, as a within-between hybrid model shows, which we attribute to the slow-moving, stock-like nature of educational attainment over a short panel. A mediation analysis indicates that about half of the association between education spending and per-capita CO₂ runs through the renewable-energy share: higher spending accompanies a higher renewable share, which accompanies lower per-capita CO₂, yielding a statistically significant indirect association, while the direct association is of similar size but not statistically significant. Because the three variables are measured in the same year, this is an indirect association consistent with the proposed channel rather than evidence of a causal sequence. We interpret the pattern through human-capital and ecological-modernization perspectives and the environmental Kuznets curve tradition.