2023-05-04 00:00:00
Plan
Methodology
1. Characteristics of rural Senegal
2. Data used
3. Matching methods
4. Treatment variable
5. Result variables
Results and discussion
1. Characterization of trained and untrained rural households
2. Matching trained and untrained households
3. Results of the impact of training in seasonal climate forecasts
4. Heterogeneity of the impact of training in climate forecasting
Discussion
Conclusion
Climate change poses enormous challenges to agricultural production and sustainable livelihoods in Senegal. Senegal is among the countries with the highest climate risk in the world, with a ranking of 70/189 on the Global Climate Risk Index 2019. It is subject to frequent floods, irregular rains, locust invasions, rises in the level of the sea, coastal erosion and bush fires (World Bank, 2011). Future trends predict by 2035 an average temperature increase of 1.17 to 1.41°C, a decrease in precipitation of 89 mm and an increased frequency of extreme events (CDN, 2020). The incidence of climatic shocks is higher in rural than in urban areas due to the overreliance of rural households on rain-fed agriculture (USAID, 2015). Rural households are also highly vulnerable to the negative effects of climate change due to their low adaptive capacity.
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