Income heterogeneity and index insurance demand

2017 ◽  
Vol 106 (3-4) ◽  
pp. 343-368 ◽  
Author(s):  
Julian Hochscherf
Author(s):  
Yingmei Tang ◽  
Huifang Cai ◽  
Rongmao Liu

AbstractIn the absence of formal risk management strategies, agricultural production in China is highly vulnerable to climate change. In this study, field experiments were conducted with 344 households in Heilongjiang (Northeast China) and Jiangsu (East China) Provinces. Probit and logistic models and independent sample T-test were used to explore farmers’ demand for weather index insurance, in contrast to informal risk management strategies, and the main factors that affect demand. The results show that the farmers prefer weather index insurance to informal risk management strategies, and farmers’ characteristics have significant impacts on their adoption of risk management strategies. The variables non-agricultural labor ratio, farmers’ risk perception, education, and agricultural insurance purchase experience significantly affect farmers’ weather index insurance demand. The regression results show that the farmers’ weather index insurance demand and the influencing factors in the two provinces are different. Farmers in Heilongjiang Province have a higher participation rate than those in Jiangsu Province. The government should conduct more weather index insurance pilot programs to help farmers understand the mechanism, and insurance companies should provide more types of weather index insurance to meet farmers’ diversified needs.


2020 ◽  
Vol 175 ◽  
pp. 155-184
Author(s):  
John P. Dougherty ◽  
Jon Einar Flatnes ◽  
Richard A. Gallenstein ◽  
Mario J. Miranda ◽  
Abdoul G. Sam

2014 ◽  
Vol 104 (5) ◽  
pp. 284-290 ◽  
Author(s):  
Shawn Cole ◽  
Daniel Stein ◽  
Jeremy Tobacman

This paper estimates how experimentally-manipulated experiences with a novel financial product, rainfall index insurance, affect subsequent insurance demand. Using a seven-year panel, we develop three main findings. First, recent experience matters for demand, consistent with overinference from small samples. Second, spillovers also matter, in the sense that the recent payout experience of village co-residents affects insurance demand about as much as one's own recent payout experience. Third, the spillover effect decays as time passes while the effect of one's own experience does not. We discuss implications of this analysis for commercial sustainability of this complicated but promising risk management technology.


Author(s):  
Gianni Brighetti ◽  
Caterina Lucarelli ◽  
Nicoletta Marinelli

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