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Climate change: Global warming may further inflate food prices
Global warming may lead to food inflation rising by up to 3.2 percentage points per year and overall inflation rising by up to 1.2 percentage points per year under temperature increases projected for 2035, according to a paper published in Communications Earth & Environment. The findings also suggest that, although both high- and low-income countries will experience climate-driven inflation, countries in the global south will be more affected.
The global economy is sensitive to climate change and extreme weather through the impact on food production, labor, energy demand, and human health. Understanding how weather may impact inflation can help predict how future climate change may impact inflation risk and the global economy.
Kotz and colleagues analyzed monthly national consumer price indices and weather data across 121 countries between 1991 – 2020, combining the results with projections from a physical climate model to estimate impacts on inflation under future warming between 2030 and 2060. They estimated that under temperature increases projected for 2035 global warming will lead to food inflation rising by between 0.9 and 3.2 percentage points per year, with overall inflation rising by between 0.3 and 1.2 percentage points per year. The authors predict that this will affect both high- and low-income countries, but generally have a greater impact on the global south, especially countries in Africa and South America.
The projections suggest that rising temperatures increase inflation year-round in low-latitude regions, while this effect only occurs in summer at higher latitudes. Additionally, the authors estimate that the 2022 summer heat extremes increased food inflation in Europe by 0.67 percentage points, and this increase could be amplified by between 30 and 50 percent under 2035 warming scenarios.
The authors suggest that climate change is likely to increase the price of food in the future, but mitigation of greenhouse gas emissions and technology-based adaptations could substantially limit this risk to the global economy.