New IIASA-led research has found that a single climate mitigation scheme applied to all sectors, such as a global carbon tax, could have a serious impact on agriculture and result in far more widespread hunger and food insecurity than the direct impacts of climate change. Smarter, inclusive policies are necessary instead.
New IIASA-led research has found that a single climate mitigation scheme applied to all sectors, such as a global carbon tax, could have a serious impact on agriculture and result in far more widespread hunger and food insecurity than the direct impacts of climate change. Smarter, inclusive policies are necessary instead.
This research, published in Nature Climate Change is the first international study to compare across models the effects of climate change on agriculture with the costs and effects of mitigation policies, and look at subsequent effects on food security and the risk of hunger.
The researchers, led by Tomoko Hasegawa, a researcher at IIASA and Japan’s National Institute for Environment Studies (NIES), and Shinichiro Fujimori, a IIASA researcher and associate professor at Kyoto University, summarized outputs of eight global agricultural models to analyze various different scenarios to 2050. The scenarios covered different socioeconomic development pathways, including one in which the world pursues sustainability, and one in which the world follows current development trends, different levels of global warming, and whether or not climate mitigation policies were employed.
By 2050, the models suggest that climate change could be responsible for putting an extra 24 million people at risk of hunger on average, with some models suggesting up to 50 million extra could be at risk. However, if agriculture is included in very stringent climate mitigation schemes, such as a global carbon tax or a comprehensive emission trading system applying the same rules to all sectors of the economy, the increase in food prices would be such that 78 million more people would be at risk of hunger, with some models finding that up to 170 million more would be at risk.
Read more at International Institute for Applied Systems Analysis
Photo Credit: Daniel Case via Wikimedia Commons
