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Leveraging social protection to enhance farmers’ climate adaptive capacities

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    Climate resilience pathways of rural households: Evidence from Ethiopia 2018
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    Climate variability and extreme events continue to impose significant challenges to households, particularly to those that are less resilient. By exploring the resilience capacity of rural Ethiopian households after the drought shock occurred in 2011, using panel data, this paper shows important socio-economic and policy determinants of households’ resilience capacity. Three policy indications emerge from the analysis. First, government support programmes, such as the Productive Safety Net Programme (PSNP), appear to sustain households’ resilience by helping them to reach the level of pre-shock total consumption, but have no impact on the food-consumption resilience. Secondly, the “selling out assets strategy” affects positively households’ resilience, but only in terms of food consumption – not total consumption. Finally, the presence of informal institutions, such as social networks providing financial support, sharply increases households’ resilience by helping them to reach preshock levels of both food consumption and total consumption.
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    Climate-adaptive capacities and livelihood strategies under a prolonged drought
    Baseline findings and policy implications for community-based support in Isiolo, Kenya
    2023
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    The “Building back better and greener: Integrated approaches for an inclusive and green COVID-19 recovery in rural spaces” project aims to: (a) build the capacity of key stakeholders in the provision of advisory and extension services; (b) integrate social protection interventions with complementary services on climate-adaptive agriculture and sustainable livestock management; and (c) generate evidence through an impact evaluation (a clustered randomized control trial) on the effectiveness of climate-adaptive agricultural training intervention and disbursement of enterprise grants in enhancing rural incomes, food security, and resilience in the face of persistent climate shocks. This impact evaluation provides information regarding evaluation design of the project as well as the baseline survey instrument. Furthermore, it provides details regarding the baseline data collected, conducts balance tests associated with randomization, and provides policy relevant analysis of the baseline.
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    Leveraging social protection programmes to advance climate-smart agriculture in Malawi
    FAO Agricultural Development Economics Policy Brief No. 21
    2020
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    This brief details the three functional elements of climate vulnerability: risk exposure, sensitivity and adaptive capacity, in order to assess the interactions between participation in Malawi’s largest public works programme, the Malawi Social Action Fund (MASAF) and three widely promoted climate-smart agriculture (CSA) practices. Using three waves of national panel household survey data, we find that participation in MASAF significantly increases the likelihood that farm households adopt CSA practices. This suggests that MASAF participation improves farmers’ adaptive capacity by reducing direct and indirect constraints to adopting climate adaptive farm practices. Moreover, we empirically demonstrate that the joint treatment effect of MASAF participation in combination with the adoption of CSA practices generates greater and more consistent positive impacts on farm welfare than the standalone impacts of the treatments. This is indicative of synergies between social protection and agricultural interventions. Finally, we show that under extreme dry conditions the short term standalone adoption of CSA practices does not generate positive impacts on farm and household outcomes. However, when combined with MASAF participation, and particularly when the CSA practice is adopted for multiple years, evidence of positive impacts is found. These findings provide empirical evidence on the importance of multi-sectoral approaches that link agricultural interventions with social protection to address the climate vulnerability of resource poor farmers.

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