Abstract In the absence of formal risk management strategies, agricultural production in China is highly vulnerable to climate change. this study, field experiments were conducted with 344 households Heilongjiang (Northeast China) and Jiangsu (East Provinces. Probit logistic models independent sample T -test used explore farmers’ demand for weather index insurance, contrast informal main factor...

Climate change is projected to increase the frequency and severity of extreme weather events. As a consequence, economic losses caused by natural catastrophes could increase significantly. This will have considerable consequences for the insurance sector. On the one hand, increased risk from weather extremes requires assessing expected changes in damage and including adequate climate change pro...

Extreme weather events cause considerable damage to the livelihoods of smallholder farmers globally. Whilst index insurance can help cope with financial consequences extreme weather, a major challenge for is basis risk, where payouts correlate poorly actual crop losses. We analyse what extent use simulation models and phenology monitoring reduce risk in insurance. Using biophysical process-base...

I develop and estimate a dynamic stochastic optimization model to assess the impact of weather insurance on the consumption, investment, and welfare of farmers in developing countries. Weather insurance has the potential to provide large welfare gains, equivalent to a permanent increase in consumption of almost 17%. Moreover, it can allow for the adoption of riskier but more productive seeds, f...

We estimate the general-equilibrium labor market effects of a large-scale randomized intervention in which we designed and marketed a rainfall index insurance product across three states in India. Marketing agricultural insurance to both cultivators and to agricultural wage laborers allows us to test a general-equilibrium model of wage determination in settings where households supplying labor ...